Likert Scale Analysis

Recently, I worked with researchers at Deaconess Hospital and the University of Southern Indiana. I consulted on a project to analyze Likert data and discovered the long standing controversy on the topic, which was intriguing. Here, I share a little background on Likert data, considerations about the analysis, and basic R code to perform an analysis. In the future, I’ll make available a workflow for to analyze Likert data, and develop a RShiny app to analyze and visualize the results for a standard survey.

knitr::opts_chunk$set(error = TRUE, tidy = TRUE)
wd <- "/Users/jdstallings/Google Drive/Blog/dataindeed/content/post"  # dirname(rstudioapi::getActiveDocumentContext()$path) # sets working directory to where ever you put this document
setwd(wd)

.cran_packages <- c("ggplot2", "sjPlot", "sjmisc", "gridExtra", "cowplot", "grid", 
    "tables", "knitr", "pander", "tables", "knitcitations", "png", "downloader", 
    "plyr", "data.table", "dplyr", "tidyr", "foreign", "coin", "car", "easyGgplot2", 
    "likert", "readxl", "FSA", "plotly", "lattice", "rcompanion", "readr", "mvoutlier", 
    "mvnormtest", "HH")  # packages used in this Rmarkdown document

sapply(.cran_packages, require, character.only = TRUE)

Introduction

In 1932, Rensis Likert (pronounced ‘Lik-ert’) developed Likert items to measure respondents’ attitudes to a particular question or statement. For example, the Likert item is typically composed of a statement and series of responses:


Example Likert Item from “A Technique for the Measurement of Attitudes (1932) Archives of Psychology. Volume 22, pp 5-55.”

Example Likert Item from “A Technique for the Measurement of Attitudes (1932) Archives of Psychology. Volume 22, pp 5-55.”


The Likert responses are typically considered as ordered categorical (i.e., ordinal) data, because they convey size, order, rank or sequence. Responses typically range from positive to negative conceptually, and often there is no actual measurable distance between the responses. We can not assume that a respondent perceives the value between Strongly Approve (1) and Approve (2) to equal to the value between Approve (2) and Undecided (3), despite the distance on the scale being the same.

Responses could also use seven or nine answers for more granularity, or only four (or other even number) to avoid neutral or undecided answers, forcing the respondent to select a positive or negative response. Likert responses are not continuous (i.e., there are no actual decimal points in Likert responses), and they are constrained at their ends (i.e., 1-5 is the range in the figure above; there are no responses below the value of 1 or above the value of 5).

The Controversy

In 1946, S.S. Stevens addressed the classification of scales of measurement. Stevens exquisitely described the theory of nominal, ordinal, interval and ratio data, their empirical operations, mathematical group structure and permissible statistics. The table below summarizes his key discussion points:


From S.S. Stevens, “On the Theory of Scales of Measurement (1946) Science. Volume 103, Number 2684.”

From S.S. Stevens, “On the Theory of Scales of Measurement (1946) Science. Volume 103, Number 2684.”


Stevens’ discussion on the analysis of ordinal data is very clear:

As a matter of fact, most of the scales used widely and effectively by psychologists are ordinal scales. In the strictest propriety the ordinary statistics involving means and standard deviations ought not to be used with these scales, for these statistics imply a knowledge of something more than the relative rank-order of data. On the other hand, for this ‘illegal’ statisticizing there can be invoked a kind of pragmatic sanction: In numerous instances it leads to fruitful results. While the outlawing of this procedure would probably serve no good purpose, it is proper to point out that means and standard deviations computed on an ordinal scale are in error to the extent that the sucessive intervals on the scale are unequal in size. When only the rank-order of the data is known, we should proceed cautiously with our statistics, and especially with the conclusions we draw from them.

Stevens’ discussion on the analysis of interval data:

Most psychological measurement aspires to create interval scales, and it sometimes succeeds. The problem usually is to devise operations for equalizing the units of the scales - a problem not always easy of solution but one for which there are several possible modes of attack. Only occaionally is there concern for the location of a ‘true’ zero point, because the human attributes measured by psychologists usually exist in a positive degree that is large compared with the range of its variation. In this respect these attributes are analogous to temerature as it is encountered in everyday life. Intelligence, for example, is usefully assessed on ordinal scales which try to approximate interval scales, and it is not necessary to define zero intelligence would mean.

Thus, although we assign numeric values to the responses, i.e., Strongly Approve (1), Approve (2), Undecided (3), Disapprove (4), and Strongly Dispprove (5), they can not be treated in the same manner as interval data, because they are ordinal in nature as described by Stevens. Consider the following questions:

  • What is Strongly Disapprove minus Undecided?
    • If we calculate \(5-3\), resulting in \(2\), how is the answer interpreted?
    • Is it equal to Approve?
  • What is Disapprove divided by Undecided?
    • If we calculate \(4/3\) resulting in \(1.33\), how is the answer interpreted?
    • Is it slightly less than Strongly Disapprove and Strongly Approve, respectively?

Clearly, we are assigning numerals to Likert responses to represent facts and conventions about the responses that are ranked (i.e. 1 is a more positive response/attitude than 5). The measurement of those numerals should directly relate to the type of scale (i.e., ordinal or interval). In the spirit of W.M. Kuzon Jr, M.G. Urbanchek, and S. McCabe (1996), the average of Strongly Approve and Approve is not Approve-and-a-half; regardless if we assign integers to represent Strongly Approve and Approve! Thus, in agreement with H.M. Marcus-Roberts and F.S. Roberts (1987), the answers to the Likert item with ordinal responses may have “meaningful statements”, but the basic empirical operations used to calculate means and standard deviations render “meaningless statistics.” Consider the following from P.A. Bishop and R.L. Herron (2015):


From P.A. Bishop and R.L. Herron (2015) “Use and Misuse of the Likert Item Responses and Other Ordinal Measures”, International Journal of Exercise Science, 8(3): 297-302. The authors discuss Clason and Dormoody’s (1994) critique of Likert response analysis- Regardless of the sample size, the means of the two groups would remain identical.

From P.A. Bishop and R.L. Herron (2015) “Use and Misuse of the Likert Item Responses and Other Ordinal Measures”, International Journal of Exercise Science, 8(3): 297-302. The authors discuss Clason and Dormoody’s (1994) critique of Likert response analysis- Regardless of the sample size, the means of the two groups would remain identical.


In practice, however, Likert scale response data are often treated as if it were interval data. In 1990, T.R. Knapp addressed the long standing controversy in depth, addressing key considerations on both the conservative (i.e., “pro-Stevens”) and liberal (i.e., “anti-Stevens”) sides. Basically the liberal practitioners argue that despite have strictly ordinal data, the differences between the responses are considered equal, and therefore treated at interval data. After all, B.O. Baker, C.D. Hardyk, and L.F. Petrinovich (1966), S. Labovitz (1967), G.V. Glass, P.D. Peckham and J.D. Sanders (1972) and others have shown empirically that doing so matters little (i.e., using parametric tests on ordinal data). Many modern day practitioners, such as J. Carifio and R. Perla (2008) and G. Norman (2010) continue to argue adamantly for the anti-Stevens position, in that violation of appropriateness is justified due to improvement in robustness. Certainly, as discussed by G.M. Sullivan and A.R. Artino (2013), improving the responses provided to begin with or implementing measurable visual analogue responses (VARs) helps to justify the use of parametric tests. Consider the following:


From G.M. Sullivan and A.R. Artino (2013) “Analyzing and Interpreting Data From Likert-Type Scales”, Journal of Graduate Medical Education, December, page 541. The visual analogue response can be physically measured 0-100 for interval data.

From G.M. Sullivan and A.R. Artino (2013) “Analyzing and Interpreting Data From Likert-Type Scales”, Journal of Graduate Medical Education, December, page 541. The visual analogue response can be physically measured 0-100 for interval data.


Knapp concludes, however, that “empirical robustness” are no longer convincing in light of H.M. Marcus-Roberts and F.S. Roberts (1987). Regardless of what side you decide to align with (conservative/pro-Stevens vs. liberal/anti-Stevens), Knapp ends his review with a set of guidelines:

  1. Choose the measurement perspective. If the goal is to interpret the results in a scale-free manner, then follow the Stevens approach.

  2. Practical concession to ‘illegal staticizing’ is OK when there are numerous data.

  3. When making up the scale and your goal is to have an interval scale, consider Stevens and ensure your scale reflects your intention.
    • Is it continuous?
    • Does it resemble an actual scale with units?
    • Is there a zero value (even if arbitrary)?
    • Do transformations preserve the order/meaningfulness?
  4. Consider meaningfulness when considering the use of descriptive statistics. Knapp writes:

If you have to, forgo traditional statistics such as means, standard deviations, and Pearson r’s there are always Tukey’s (1977) very creative exploratory data analysis (EDA) techniques, and Agresti (1984) has written a whole book on the analysis of ordinal data.

In 2001, A. Agresti published a fantastic book on “Categorical Data Analysis.” You also may consider Hoaglin, Moesttler and J.W. Tukey (2001) “Understanding Robust and Exploratory Data Analysis” instead.

  1. The type of scale of data claimed will determine the use of non-parametric or parametric tests.

In conclusion, I recommend taking time to familiarize yourself with Steven and Knapp. Ultimately, you have to decide how you want to analyze the data. Below, I provide code to visualize likert data, and conduct both non-paramteric and parametric analyses.

Basic Likert Data Analysis

Dataset

To demonstrate the Likert analysis workflow, I’ll use the MACH-IV dataset, which is a freely available download. It draws on answers from Christie, R. & Geis, F. (1970) “Studies in Machiavellianism”. NY: Academic Press.), which is a tool that is used to measure Machiavellianism personality traits. The test consists of twenty Likert items. Each item is a statement that you must indicate how accurate it would be when applied to you. The data are presented in wide form with each row as a single observation.

  • Answers: 1 = strongly disagree, 2 = disagree, 3 = neutral, 4 = agree, 5 = strongly agree (0 = they skipped). For the puposes of this analysis, we will consider the responses to be ordinal.
  • Age: Entered into a text field.
  • Gender: Chosen from a drop down list (1 = male, 2 = female, 3 = other; 0 = no answer)
  • Questions:
    • Q1. Never tell anyone the real reason you did something unless it is useful to do so.
    • Q2. The best way to handle people is to tell them what they want to hear.
    • Q3. One should take action only when sure it is morally right.
    • Q4. Most people are basically good and kind.
    • Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance.
    • Q6. Honesty is the best policy in all cases.
    • Q7. There is no excuse for lying to someone else.
    • Q8. Generally speaking, people won’t work hard unless they’re forced to do so.
    • Q9. All in all, it is better to be humble and honest than to be important and dishonest.
    • Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight.
    • Q11. Most people who get ahead in the world lead clean, moral lives.
    • Q12. Anyone who completely trusts anyone else is asking for trouble.
    • Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught.
    • Q14. Most people are brave.
    • Q15. It is wise to flatter important people.
    • Q16. It is possible to be good in all respects.
    • Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute.
    • Q18. It is hard to get ahead without cutting corners here and there.
    • Q19. People suffering from incurable diseases should have the choice of being put painlessly to death.
    • Q20. Most people forget more easily the death of their parents than the loss of their property.

Perhaps our research question will be to determine whether men and women demonstrate a signficant difference in Machiavellianism personality traits. We will examine each question individually, and then evaluate total score, treating that measure as interval data. Let’s start by downloading the dataset:

url <- "http://personality-testing.info/_rawdata/MACH2.zip"  # web address of dataset

if (!file.exists("./MACH2.zip")) {
    download(url, dest = "MACH2.zip", mode = "wb")  # download zip file
    unzip("MACH2.zip", exdir = "./")  # unzip datafiles into a folder /MACH2
}

ds <- "/MACH2/data.csv"  # the data set of interest
cb <- "/MACH2/codebook.txt"  # the code to the questions

dt <- data.frame(read_csv(paste(wd, ds, sep = "")))  # import data into a data.table

dtQ <- data.table(read_lines(paste(wd, cb, sep = ""))[3:22])  # reading the lines of the questions from the text file

dtQ[, `:=`(c("question", "question_text"), tstrsplit(V1, "[0-9]. ", fixed = TRUE))]  # splits the 'QX. from the Questions.' at the first '.' after a digit.

colnames(dt)[1:20] <- dtQ$question_text[1:20]  # colnames to full questions

posQ <- colnames(dt)[c(1:2, 5, 8, 12:13, 15, 17:20)]  # postive questions
negQ <- colnames(dt)[c(3:4, 6:7, 9:11, 14, 16)]  # negative questions

Explore data and remove outliers

Before we begin the analysis, let’s explore the data and remove outliers in the demographic and total score columns. The scores reflect a minimum of \(20\) and maximum of \(100\) points. When we assign gender as a factor with two levels (male and female), those respondents that did not answer will be removed when we remove NAs. Obviously there are issues with age, with a range of -9 to 999999. We will limit the respondents from 10 to 100 years old. In a similar manner, the range for elapsed time is very large. We will limit seconds_elapsed from 60 seconds (3 seconds per question) to 600 (30 seconds per question). Finally, once we limit respondents to those who answered every question, create factors and levels for each question, most of the outlier questions will be removed.

First, let’s take a look at gender first:

Number of Respondents By Gender

dt[, 1:20] <- lapply(dt[, 1:20], factor, levels = c(1, 2, 3, 4, 5), labels = c("strongly disagree", 
    "disagree", "neutral", "agree", "strongly agree"))  # change columns to factors

dt$gender <- factor(dt$gender, levels = c(1, 2), labels = c("male", "female"))  # change to factor

plot_ly(data = as.data.frame(dt), x = ~gender)

There are quite a few more male respondents than female. Now let’s take a look at age:

Distribution of Age

dt <- dt[dt$age < 110 & dt$age >= 10, ]  # remove observatons with ages outside of 18 - 100. 

dt <- na.omit(dt)  # remove respondents with NAs

plot_ly(data = as.data.frame(dt), x = ~age)  # histogram of age

Most of the respondents are fairly young. Next, lets take a look at seconds_elapsed:

Distrubtion of Seconds Elapsed

dt <- dt[dt$seconds_elapsed < 1200 & dt$seconds_elapsed >= 60, ]  # remove observatons outside of 60 - 1200 seconds. 

plot_ly(data = as.data.frame(dt), x = ~seconds_elapsed)  # histogram of seconds_elapsed

The vast majority of repondents spend very less than 4 minutes on then questionnaire. Finally, let’s take a look at the distribution of scores:

Distrubtion of Scores (Machiavellianism Index)

plot_ly(data = as.data.frame(dt), x = ~score)  # histogram of age

The total scores are normally distributed. The scores are a composite of all the answers. The range is 20-100. The test

pt <- tabular(gender ~ (age + seconds_elapsed + score) * (mean + sd), data = dt)

print(pt)
    age         seconds_elapsed       score      

gender mean sd mean sd mean sd
male 28.72 11.59 238.5 155.7 67.89 13.03 female 29.88 12.17 255.1 175.1 62.51 12.41

pander(pt)

gender
age
mean

sd
seconds_elapsed
mean

sd
score
mean

sd
male 28.72 11.59 238.5 155.7 67.89 13.03
female 29.88 12.17 255.1 175.1 62.51 12.41

Descriptive Statistics

According to Stevens, descriptive statistics for ordinal data should be median. But first, one simple method to visualize the percentages by gender is to use the likert function in the likert package. These figures allow you to group by a factor, and provides color coordinated horizontal bar charts to compare the percent of answers.

dt_pos <- dt[posQ]  # select only the 11 positive questions according to the codetext

dt_pos$gender <- dt$gender  # create a standalone data.table for this analysis.

mach_l1 <- likert::likert(dt_pos[, 1:4, drop = FALSE], grouping = dt_pos$gender)  # view the first 4 (1:4 questions) and group them by gender
likert.bar.plot(mach_l1)

Similarly, you can look at the fiirst 4 negative questions. These visual graphics take up quite a bit of room.

dt_neg <- dt[negQ]
dt_neg$gender <- dt$gender
mach_l2 <- likert::likert(dt_neg[, 1:4, drop = FALSE], grouping = dt_neg$gender)
likert.bar.plot(mach_l2)

In the following examples, I’ve selected the first 2 questions from males to show the summary tables that sjtPlot provides with the sjt.frq function.

attach(dt)  # must attach the dataset to analyze

sjt.frq(dt[dt$gender == "male", c(1:2)], emph.md = TRUE, show.summary = FALSE, emph.quart = TRUE, 
    no.output = FALSE)  # the sjtPlot provides quite a few options! emph.md emphasizes the median, emph.quart draws a line are the quartiles.  If you show.summary = TRUE, it provides mean, sigma and other values in the bottom of the table.
## Error in sjt.frq(dt[dt$gender == "male", c(1:2)], emph.md = TRUE, show.summary = FALSE, : could not find function "sjt.frq"

Similarly, the first 2 questions by females.

sjt.frq(dt[dt$gender == "female", c(1:2)], emph.md = TRUE, show.summary = TRUE, emph.quart = TRUE, 
    no.output = FALSE)
## Error in sjt.frq(dt[dt$gender == "female", c(1:2)], emph.md = TRUE, show.summary = TRUE, : could not find function "sjt.frq"

Rather than the tabular function above, you can use the sjt.grpmean in sjtPlot to evaluate the interval data. They produce very nice looking tables, with many options for analysis!

sjt.grpmean(var.cnt = age, var.grp = gender, digits = 1, no.output = FALSE)
## Error in sjt.grpmean(var.cnt = age, var.grp = gender, digits = 1, no.output = FALSE): could not find function "sjt.grpmean"

sjt.grpmean(var.cnt = seconds_elapsed, var.grp = gender, digits = 1, no.output = FALSE)
## Error in sjt.grpmean(var.cnt = seconds_elapsed, var.grp = gender, digits = 1, : could not find function "sjt.grpmean"

sjt.grpmean(var.cnt = score, var.grp = gender, digits = 1, no.output = FALSE)
## Error in sjt.grpmean(var.cnt = score, var.grp = gender, digits = 1, no.output = FALSE): could not find function "sjt.grpmean"

Statistical Inference Techniques

The Wilcoxon tests is performed in R with the wilcox.test function, which uses binary factors, such as Gender (M/F), or Pre-Post Analysis. For example, if only Pre-scores are given, or if both Pre-scores (\(x\)) and Post-Scores (\(y\)) are given and paired is TRUE (i.e., the same person’s answers), a Wilcoxon signed rank test of the null that the distribution of \(x\) (in the one sample case) or of \(x\) - \(y\) (in the paired two sample case) is symmetric about \(\mu\) is performed. Our example analysis will use gender and a single likert question.

library(FSA)
dt_wc <- dt

dt_wc$`Q1. Never tell anyone the real reason you did something unless it is useful to do so.` <- as.numeric(dt_wc$`Q1. Never tell anyone the real reason you did something unless it is useful to do so.`)

pander(Summarize(`Q1. Never tell anyone the real reason you did something unless it is useful to do so.` ~ 
    gender, data = dt_wc, digit = 3))
gender n mean sd min Q1 median Q3 max
male 7692 3.538 1.229 1 3 4 5 5
female 4079 3.099 1.252 1 2 3 4 5

wt <- wilcox.test(as.numeric(dt_wc[, 1]) ~ as.factor(gender), data = dt_wc, alternative = "two.sided", 
    exact = FALSE)

pandoc.table(wt)
Table continues below
statistic parameter p.value null.value
c(W = 18789658) NULL 4.62656668408054e-74 c(location shift = 0)
alternative method data.name
two.sided Wilcoxon rank sum test with continuity correction as.numeric(dt_wc[, 1]) by as.factor(gender)

The Kruskal Wallis test is performed in R with the kruskal.test function, which uses multivariate factors, such as Education & Certification Levels (Associates, Bachelors, Masters, or Doctorates. The current study does not contain multivariate data. I randomly added unknown gender to the categories, such that it is now multivariate.

dt_kw <- dt

dt_kw$gender <- factor(dt_kw$gender, levels = c("male", "female", "unknown"))  # create a third category
dt_kw$gender[sample(nrow(dt_kw), 2000)] <- "unknown"  # label

dt_kw$`Q1. Never tell anyone the real reason you did something unless it is useful to do so.` <- as.numeric(dt_kw$`Q1. Never tell anyone the real reason you did something unless it is useful to do so.`)

pander(Summarize(`Q1. Never tell anyone the real reason you did something unless it is useful to do so.` ~ 
    gender, data = dt_kw, digit = 3))
gender n mean sd min Q1 median Q3 max
male 6385 3.546 1.225 1 3 4 5 5
female 3386 3.105 1.254 1 2 3 4 5
unknown 2000 3.353 1.262 1 2 4 4 5

kt <- kruskal.test(as.numeric(dt_kw[, 1]) ~ as.factor(gender), data = dt_kw)

pandoc.table(kt)
Table continues below
statistic parameter p.value
c(Kruskal-Wallis chi-squared = 277.85233366503) c(df = 2) 4.62521955006316e-61
method data.name
Kruskal-Wallis rank sum test as.numeric(dt_kw[, 1]) by as.factor(gender)

The One-Way ANOVA is a multivariate analysis only used when ordinal data (Likert data) are transformed to interval data. The data, however, still have to meet the assumptions of the test (normality, etc.). For example, the ordinal data can be ordered, and then a table is produced and the data converted to probability or frequency. For this analysis we used the score values and

For the interval data, such as scores, we can use the HH packages to conduct an ANOVA. The hov and hovPlot functions indicate:

Oneway analysis of variance makes the assumption that the variances of the groups are equal. Brown and Forsyth, 1974 present the recommended test of this assumption. The Brown and Forsyth test statistic is the F statistic resulting from an ordinary one-way analysis of variance on the absolute deviations from the median.

The “trellis” object with three panels containing boxplots for each group: The observed data “y”, the data with the median subtracted “y-med(y)”, and the absolute deviations from the median “abs(y-med(y))” The Brown and Forsyth test statistic is the F statistic resulting from an ordinary one-way analysis of variance on the data points in the third panel.

library(HH)

dt_gen <- dt

dt_gen$gender <- factor(dt_gen$gender, levels = c("male", "female", "unknown"))  # create a third category
dt_gen$gender[sample(nrow(dt_gen), 2000)] <- "unknown"  # label

hovPlot(as.numeric(score) ~ as.factor(gender), data = dt_gen)  # example test of the assumtions

hv <- hov(as.numeric(score) ~ as.factor(gender), data = dt_gen)  # example parametric test

pandoc.table(hv)
Table continues below
statistic parameters p.value
c(F = 7.32049970867287) c(df:as.factor(gender) = 2, df:Residuals = 11768) 0.000664849651096874
alternative method data.name
variances are not identical hov: Brown-Forsyth as.numeric(score)

set.seed(101)
fac_num <- function(x) {
    if (x == "strongly disagree") {
        x = 1
    }
    if (x == "disagree") {
        x = 2
    }
    if (x == "neutral") {
        x = 3
    }
    if (x == "agree") {
        x = 4
    }
    if (x == "strongly agree") {
        x = 5
    }
}
dt_gen_num <- sapply(dt_gen[, c(1:20)], function(x) as.integer(factor(as.character(x), 
    levels = c("strongly disagree", "disagree", "neutral", "agree", "strongly agree"))))


dt_gen_num <- cbind(dt_gen_num, dt_gen[, c(21:24)])
colnames(dt_gen_num) <- colnames(dt_gen)
mat <- dt_gen_num[, c(1:20)]

myPCA <- prcomp(mat, scale. = F, center = F)
plot(myPCA)

myPCA$rotation  # loadings
                                                                                                                                                             PC1

Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.2517122 Q2. The best way to handle people is to tell them what they want to hear. -0.2451240 Q3. One should take action only when sure it is morally right. -0.2161848 Q4. Most people are basically good and kind. -0.1950457 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.2611763 Q6. Honesty is the best policy in all cases. -0.1925118 Q7. There is no excuse for lying to someone else. -0.1638649 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.2303818 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.2562943 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.2192944 Q11. Most people who get ahead in the world lead clean, moral lives. -0.1365840 Q12. Anyone who completely trusts anyone else is asking for trouble. -0.2660803 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.2280831 Q14. Most people are brave. -0.1640160 Q15. It is wise to flatter important people. -0.2457817 Q16. It is possible to be good in all respects. -0.1992169 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.1681909 Q18. It is hard to get ahead without cutting corners here and there. -0.2602957 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.3036461 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.1899535 PC2 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.23791086 Q2. The best way to handle people is to tell them what they want to hear. 0.23164433 Q3. One should take action only when sure it is morally right. -0.24085217 Q4. Most people are basically good and kind. -0.25096049 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 0.19364394 Q6. Honesty is the best policy in all cases. -0.30588064 Q7. There is no excuse for lying to someone else. -0.24384265 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.19541304 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.32414987 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.29820571 Q11. Most people who get ahead in the world lead clean, moral lives. -0.17302461 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.21580148 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.24423975 Q14. Most people are brave. -0.18365442 Q15. It is wise to flatter important people. 0.16834926 Q16. It is possible to be good in all respects. -0.22336819 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.15785428 Q18. It is hard to get ahead without cutting corners here and there. 0.17323074 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.08292712 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.19003627 PC3 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.01951991 Q2. The best way to handle people is to tell them what they want to hear. -0.30697157 Q3. One should take action only when sure it is morally right. 0.03631210 Q4. Most people are basically good and kind. -0.38588122 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 0.19206406 Q6. Honesty is the best policy in all cases. 0.30266975 Q7. There is no excuse for lying to someone else. 0.33323426 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.21428717 Q9. All in all, it is better to be humble and honest than to be important and dishonest. 0.06985923 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.15108981 Q11. Most people who get ahead in the world lead clean, moral lives. -0.08765285 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.18185057 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.21857270 Q14. Most people are brave. -0.18187231 Q15. It is wise to flatter important people. -0.35537242 Q16. It is possible to be good in all respects. -0.12276393 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.11854819 Q18. It is hard to get ahead without cutting corners here and there. -0.08452543 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.25283702 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.30643912 PC4 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.12919315 Q2. The best way to handle people is to tell them what they want to hear. 0.13852011 Q3. One should take action only when sure it is morally right. -0.12042455 Q4. Most people are basically good and kind. 0.06312149 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.12648361 Q6. Honesty is the best policy in all cases. 0.05609654 Q7. There is no excuse for lying to someone else. 0.16074254 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.10895758 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.33889367 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.22376172 Q11. Most people who get ahead in the world lead clean, moral lives. 0.24161841 Q12. Anyone who completely trusts anyone else is asking for trouble. -0.25587682 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.07768734 Q14. Most people are brave. 0.14732011 Q15. It is wise to flatter important people. 0.07526625 Q16. It is possible to be good in all respects. 0.31184714 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.32229778 Q18. It is hard to get ahead without cutting corners here and there. -0.10319209 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.44673737 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.39402855 PC5 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.17241874 Q2. The best way to handle people is to tell them what they want to hear. -0.24408767 Q3. One should take action only when sure it is morally right. -0.29047331 Q4. Most people are basically good and kind. 0.15815026 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.11890301 Q6. Honesty is the best policy in all cases. -0.06929216 Q7. There is no excuse for lying to someone else. -0.06767056 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.22935702 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.01367274 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.11535933 Q11. Most people who get ahead in the world lead clean, moral lives. 0.02158388 Q12. Anyone who completely trusts anyone else is asking for trouble. -0.07304113 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.03152992 Q14. Most people are brave. 0.07833854 Q15. It is wise to flatter important people. -0.12684118 Q16. It is possible to be good in all respects. -0.24426715 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.22953739 Q18. It is hard to get ahead without cutting corners here and there. 0.02590147 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.45563371 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.60169869 PC6 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.0091486146 Q2. The best way to handle people is to tell them what they want to hear. 0.0893183340 Q3. One should take action only when sure it is morally right. 0.1106701769 Q4. Most people are basically good and kind. 0.0777778556 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 0.0593421735 Q6. Honesty is the best policy in all cases. 0.0362040829 Q7. There is no excuse for lying to someone else. 0.1158463007 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.0535916531 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.0008673092 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.0399065660 Q11. Most people who get ahead in the world lead clean, moral lives. 0.0437276569 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.1672986032 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.1357496320 Q14. Most people are brave. 0.0521839516 Q15. It is wise to flatter important people. 0.0586696664 Q16. It is possible to be good in all respects. -0.7004385793 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.5144989768 Q18. It is hard to get ahead without cutting corners here and there. 0.1742338600 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.3018272115 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.1401735254 PC7 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.339047122 Q2. The best way to handle people is to tell them what they want to hear. 0.054328320 Q3. One should take action only when sure it is morally right. 0.034375980 Q4. Most people are basically good and kind. 0.253280101 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.177277982 Q6. Honesty is the best policy in all cases. 0.203921381 Q7. There is no excuse for lying to someone else. 0.139822217 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.326309653 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.017772119 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.001289206 Q11. Most people who get ahead in the world lead clean, moral lives. 0.050587798 Q12. Anyone who completely trusts anyone else is asking for trouble. -0.232008393 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.039883414 Q14. Most people are brave. 0.006825463 Q15. It is wise to flatter important people. 0.432090634 Q16. It is possible to be good in all respects. -0.344687330 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.478626748 Q18. It is hard to get ahead without cutting corners here and there. 0.021166316 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.056447463 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.145437077 PC8 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.254042439 Q2. The best way to handle people is to tell them what they want to hear. 0.333547004 Q3. One should take action only when sure it is morally right. 0.455488678 Q4. Most people are basically good and kind. 0.007984123 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.081666569 Q6. Honesty is the best policy in all cases. -0.080208382 Q7. There is no excuse for lying to someone else. -0.081293009 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.323438410 Q9. All in all, it is better to be humble and honest than to be important and dishonest. 0.198951503 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.071179654 Q11. Most people who get ahead in the world lead clean, moral lives. -0.024101018 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.041594272 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.297484968 Q14. Most people are brave. -0.054359696 Q15. It is wise to flatter important people. -0.114464155 Q16. It is possible to be good in all respects. -0.108925843 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.286591994 Q18. It is hard to get ahead without cutting corners here and there. -0.146356467 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.126220279 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.457696718 PC9 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.04322706 Q2. The best way to handle people is to tell them what they want to hear. 0.11893220 Q3. One should take action only when sure it is morally right. 0.10302633 Q4. Most people are basically good and kind. -0.33193303 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 0.07503048 Q6. Honesty is the best policy in all cases. 0.02767914 Q7. There is no excuse for lying to someone else. 0.01191564 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.44003976 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.01404452 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.04564063 Q11. Most people who get ahead in the world lead clean, moral lives. -0.13723068 Q12. Anyone who completely trusts anyone else is asking for trouble. -0.37968885 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.56712385 Q14. Most people are brave. -0.17532710 Q15. It is wise to flatter important people. -0.02324798 Q16. It is possible to be good in all respects. 0.03906179 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.23524944 Q18. It is hard to get ahead without cutting corners here and there. 0.12256935 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.25676997 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.08373770 PC10 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.345340100 Q2. The best way to handle people is to tell them what they want to hear. -0.319965325 Q3. One should take action only when sure it is morally right. 0.052052899 Q4. Most people are basically good and kind. 0.081775015 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 0.099872951 Q6. Honesty is the best policy in all cases. -0.062446040 Q7. There is no excuse for lying to someone else. -0.084266209 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.007664045 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.087441514 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.130112158 Q11. Most people who get ahead in the world lead clean, moral lives. -0.041220783 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.514679345 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.417325045 Q14. Most people are brave. -0.015194910 Q15. It is wise to flatter important people. 0.236901493 Q16. It is possible to be good in all respects. 0.285276550 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.021280859 Q18. It is hard to get ahead without cutting corners here and there. 0.259582142 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.195774847 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.196731465 PC11 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.120354030 Q2. The best way to handle people is to tell them what they want to hear. -0.110502255 Q3. One should take action only when sure it is morally right. 0.129102467 Q4. Most people are basically good and kind. 0.413808618 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.227408751 Q6. Honesty is the best policy in all cases. -0.235241690 Q7. There is no excuse for lying to someone else. -0.197569709 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.581202722 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.039608991 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.031868111 Q11. Most people who get ahead in the world lead clean, moral lives. 0.125802689 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.191746342 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.038917398 Q14. Most people are brave. 0.053285942 Q15. It is wise to flatter important people. -0.480648802 Q16. It is possible to be good in all respects. -0.061991057 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.027107611 Q18. It is hard to get ahead without cutting corners here and there. -0.076677721 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.001116136 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.022411389 PC12 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.03918763 Q2. The best way to handle people is to tell them what they want to hear. 0.13232196 Q3. One should take action only when sure it is morally right. -0.03380143 Q4. Most people are basically good and kind. -0.13482763 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.22870971 Q6. Honesty is the best policy in all cases. 0.19552204 Q7. There is no excuse for lying to someone else. 0.22111378 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.05710176 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.14197535 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.21066759 Q11. Most people who get ahead in the world lead clean, moral lives. 0.08413497 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.42943295 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.13432273 Q14. Most people are brave. -0.03275831 Q15. It is wise to flatter important people. 0.15166537 Q16. It is possible to be good in all respects. -0.03402262 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.10649066 Q18. It is hard to get ahead without cutting corners here and there. -0.62208813 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.34101577 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.07081536 PC13 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.333439253 Q2. The best way to handle people is to tell them what they want to hear. 0.006906445 Q3. One should take action only when sure it is morally right. 0.494334192 Q4. Most people are basically good and kind. -0.204333363 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.394685299 Q6. Honesty is the best policy in all cases. -0.181615403 Q7. There is no excuse for lying to someone else. -0.181509351 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.046588618 Q9. All in all, it is better to be humble and honest than to be important and dishonest. 0.046630364 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.035224017 Q11. Most people who get ahead in the world lead clean, moral lives. -0.212779907 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.005410079 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.431730819 Q14. Most people are brave. -0.158364364 Q15. It is wise to flatter important people. 0.135202761 Q16. It is possible to be good in all respects. 0.089446773 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.297057216 Q18. It is hard to get ahead without cutting corners here and there. -0.001360500 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.015384714 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.061829377 PC14 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.12397898 Q2. The best way to handle people is to tell them what they want to hear. 0.03385348 Q3. One should take action only when sure it is morally right. 0.02270310 Q4. Most people are basically good and kind. 0.05150079 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.43814401 Q6. Honesty is the best policy in all cases. 0.34351154 Q7. There is no excuse for lying to someone else. 0.26374451 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.12670541 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.11106060 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.38655355 Q11. Most people who get ahead in the world lead clean, moral lives. -0.17570023 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.04228082 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.01623758 Q14. Most people are brave. -0.08920724 Q15. It is wise to flatter important people. -0.23946648 Q16. It is possible to be good in all respects. 0.06100617 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.07178501 Q18. It is hard to get ahead without cutting corners here and there. 0.52974288 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.17156062 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.07623703 PC15 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.02894408 Q2. The best way to handle people is to tell them what they want to hear. -0.37854954 Q3. One should take action only when sure it is morally right. 0.44345821 Q4. Most people are basically good and kind. 0.14524781 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 0.44334022 Q6. Honesty is the best policy in all cases. 0.03786903 Q7. There is no excuse for lying to someone else. 0.02872604 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.04677883 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.13784471 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.52451969 Q11. Most people who get ahead in the world lead clean, moral lives. 0.00894536 Q12. Anyone who completely trusts anyone else is asking for trouble. -0.24186777 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.11197568 Q14. Most people are brave. 0.05773273 Q15. It is wise to flatter important people. 0.01920569 Q16. It is possible to be good in all respects. -0.05792270 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.02681529 Q18. It is hard to get ahead without cutting corners here and there. -0.13532932 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.21276754 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.02261802 PC16 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.5602370845 Q2. The best way to handle people is to tell them what they want to hear. -0.5345193564 Q3. One should take action only when sure it is morally right. 0.0858127661 Q4. Most people are basically good and kind. -0.2338782091 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.3405999523 Q6. Honesty is the best policy in all cases. -0.0919787721 Q7. There is no excuse for lying to someone else. -0.0065071233 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.0278010740 Q9. All in all, it is better to be humble and honest than to be important and dishonest. 0.0009322384 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.1461820662 Q11. Most people who get ahead in the world lead clean, moral lives. 0.1664476157 Q12. Anyone who completely trusts anyone else is asking for trouble. -0.0319896595 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.0869369652 Q14. Most people are brave. 0.0723801471 Q15. It is wise to flatter important people. 0.3696574755 Q16. It is possible to be good in all respects. -0.0881492996 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.0500789313 Q18. It is hard to get ahead without cutting corners here and there. 0.0538916442 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.0120775848 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.0143803930 PC17 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.12711252 Q2. The best way to handle people is to tell them what they want to hear. 0.10373549 Q3. One should take action only when sure it is morally right. 0.30089370 Q4. Most people are basically good and kind. -0.17162833 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 0.04256108 Q6. Honesty is the best policy in all cases. -0.01626778 Q7. There is no excuse for lying to someone else. 0.04765920 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -0.11594038 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.68182070 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.37126027 Q11. Most people who get ahead in the world lead clean, moral lives. 0.21931552 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.05352342 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.01834396 Q14. Most people are brave. 0.30464947 Q15. It is wise to flatter important people. -0.15312045 Q16. It is possible to be good in all respects. -0.04752874 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.15889468 Q18. It is hard to get ahead without cutting corners here and there. 0.13499422 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.12710932 Q20. Most people forget more easily the death of their parents than the loss of their property. -0.05603837 PC18 Q1. Never tell anyone the real reason you did something unless it is useful to do so. -0.203042887 Q2. The best way to handle people is to tell them what they want to hear. 0.054104435 Q3. One should take action only when sure it is morally right. -0.056327019 Q4. Most people are basically good and kind. -0.434459492 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.059829163 Q6. Honesty is the best policy in all cases. -0.063516703 Q7. There is no excuse for lying to someone else. -0.094754200 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.095376008 Q9. All in all, it is better to be humble and honest than to be important and dishonest. 0.361184981 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -0.337940737 Q11. Most people who get ahead in the world lead clean, moral lives. 0.284949147 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.019263586 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 0.025422072 Q14. Most people are brave. 0.613161774 Q15. It is wise to flatter important people. -0.105360726 Q16. It is possible to be good in all respects. -0.054314972 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. -0.084491509 Q18. It is hard to get ahead without cutting corners here and there. 0.117173597 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. 0.019561988 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.009394488 PC19 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 0.13369723 Q2. The best way to handle people is to tell them what they want to hear. -0.03063853 Q3. One should take action only when sure it is morally right. -0.01890728 Q4. Most people are basically good and kind. 0.04839291 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. -0.01518273 Q6. Honesty is the best policy in all cases. 0.35557556 Q7. There is no excuse for lying to someone else. -0.30824038 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. 0.07263087 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -0.09930272 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. 0.07889330 Q11. Most people who get ahead in the world lead clean, moral lives. -0.66506624 Q12. Anyone who completely trusts anyone else is asking for trouble. 0.01647534 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. -0.03381130 Q14. Most people are brave. 0.50851805 Q15. It is wise to flatter important people. 0.04094463 Q16. It is possible to be good in all respects. -0.01474408 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 0.03553471 Q18. It is hard to get ahead without cutting corners here and there. -0.14600196 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -0.08469035 Q20. Most people forget more easily the death of their parents than the loss of their property. 0.03854849 PC20 Q1. Never tell anyone the real reason you did something unless it is useful to do so. 1.047003e-03 Q2. The best way to handle people is to tell them what they want to hear. 1.684106e-05 Q3. One should take action only when sure it is morally right. 7.586111e-03 Q4. Most people are basically good and kind. -6.144546e-02 Q5. It is safest to assume that all people have a vicious streak and it will come out when they are given a chance. 9.583908e-03 Q6. Honesty is the best policy in all cases. 5.750186e-01 Q7. There is no excuse for lying to someone else. -6.540973e-01 Q8. Generally speaking, people won’t work hard unless they’re forced to do so. -2.508498e-02 Q9. All in all, it is better to be humble and honest than to be important and dishonest. -3.391946e-02 Q10. When you ask someone to do something for you, it is best to give the real reasons for wanting it rather than giving reasons which carry more weight. -1.708664e-02 Q11. Most people who get ahead in the world lead clean, moral lives. 4.010628e-01 Q12. Anyone who completely trusts anyone else is asking for trouble. 1.101266e-02 Q13. The biggest difference between most criminals and other people is that the criminals are stupid enough to get caught. 2.794733e-02 Q14. Most people are brave. -2.624233e-01 Q15. It is wise to flatter important people. -2.022413e-02 Q16. It is possible to be good in all respects. -3.100895e-02 Q17. P.T. Barnum was wrong when he said that there’s a sucker born every minute. 4.590004e-02 Q18. It is hard to get ahead without cutting corners here and there. 3.392573e-02 Q19. People suffering from incurable diseases should have the choice of being put painlessly to death. -1.589104e-02 Q20. Most people forget more easily the death of their parents than the loss of their property. 3.475622e-03

myPCA$x  # scores
         PC1           PC2           PC3           PC4           PC5

2 -13.292340 -1.583046e+00 -0.6114773488 -2.2533134866 9.821187e-01 3 -13.839641 -1.155097e-01 0.3365447199 1.2248439918 1.732138e-01 4 -14.211298 -4.338840e-01 -1.7653482957 -0.8501087720 -1.617227e-01 5 -14.711248 7.349736e-01 1.4019661290 -0.5901014730 -1.556256e+00 7 -15.791790 1.912056e+00 0.9001145540 0.8841578939 -3.472182e-01 8 -14.264361 3.289587e+00 0.8523847458 -0.5459761385 -9.865191e-02 9 -13.076950 -4.257396e+00 -0.4638884859 -0.7519533326 -8.172644e-01 10 -14.241568 -8.452432e-02 2.3126829714 -1.8466269022 -3.994268e-01 11 -14.241568 -8.452432e-02 2.3126829714 -1.8466269022 -3.994268e-01 12 -14.129074 -3.025110e+00 2.5125785490 -0.3005150859 2.332013e+00 13 -15.157008 -2.965920e+00 1.2950666738 -0.0361857135 -1.326108e+00 14 -13.759052 1.986702e+00 1.2862455993 0.7420033779 9.178958e-01 15 -13.715948 -2.521537e+00 -0.3903303723 -1.3571256043 8.574013e-01 16 -14.447221 -3.797691e-01 -0.8789186165 -1.3977782221 -1.088569e-01 17 -13.174144 1.073110e-01 -0.9136097811 0.5095617211 -7.241644e-01 18 -15.544754 1.026564e+00 -0.6814804883 0.9157445975 1.411616e+00 19 -12.566846 2.007640e+00 1.8960702975 -0.3976722093 -4.529856e-01 20 -13.576824 -2.912466e+00 -0.4416871596 0.8899360990 -7.644616e-01 21 -11.834543 -1.746912e-01 -3.2379646879 -1.1797371618 -9.759614e-02 22 -15.201773 -3.095169e+00 0.7426461997 0.5413988881 -3.290028e-01 23 -12.646586 -1.793179e+00 1.0043980836 -0.9306841528 2.510911e-01 24 -12.926818 1.624237e+00 -0.2497892023 -0.1248682932 1.478018e+00 25 -13.008312 -2.345595e-01 3.0629647535 -0.5822607959 -3.426776e-01 26 -12.368452 1.446423e+00 0.6162006596 0.8655101836 1.190826e+00 27 -12.519878 1.327416e+00 -2.0294133256 -1.2079286553 -1.583934e+00 28 -13.157411 1.267077e-01 -1.9555967187 -1.2126344546 7.173301e-01 29 -12.641786 -6.970618e-01 -0.3591212345 -0.5358639423 4.741347e-01 30 -14.105111 2.630664e+00 -0.4687818220 -0.0589358334 4.340965e-01 31 -12.525544 -2.462689e+00 -0.5831731151 -0.1555216875 -4.663337e-01 32 -13.908523 1.096295e+00 1.2258852189 -1.1849374577 1.852651e+00 33 -12.703150 -3.481536e+00 0.4744282369 -0.4641446324 1.547718e+00 34 -12.739561 2.272651e+00 0.4470468417 -0.6416526401 3.138214e-01 35 -13.682876 4.294475e-01 -1.5494851054 -1.5241095446 6.606819e-02 36 -11.999397 2.038945e+00 -0.6186625994 0.7477508651 1.527856e+00 37 -13.570549 -3.730436e-01 0.1965671778 0.5319533947 -4.094257e-01 38 -13.685446 -4.639056e-01 -0.8847359844 0.4127142740 -1.430232e+00 39 -15.778550 -3.819198e-01 -1.2123693607 1.6328506646 -9.297045e-01 40 -15.110916 -2.039400e+00 -1.1703632980 0.9050081332 2.227148e+00 41 -11.768351 1.499403e+00 -1.3635206590 -1.3391361272 9.678703e-01 42 -13.364460 2.460327e+00 0.1879749556 -1.3127909177 7.758119e-01 43 -12.760375 -7.061087e-01 -0.6859526597 -1.3952227694 4.520946e-01 44 -12.287756 1.933727e+00 0.0273014593 -0.8054827475 4.449263e-01 45 -13.744384 -2.543384e-01 -1.7835353707 -0.3912204969 7.163245e-02 46 -12.223744 -1.568603e+00 -0.9228234653 -1.0647581027 5.591498e-01 47 -13.107792 6.932482e+00 1.4777310852 2.3637290366 -1.154366e+00 48 -13.350906 -4.073920e+00 -1.9507225271 0.4031924530 -1.386644e+00 49 -10.366490 -2.947712e-01 -2.9977909259 0.4883380926 1.528569e+00 50 -9.847879 -3.874043e+00 -0.3490493135 -1.5964327362 1.180738e+00 51 -14.281303 2.604818e+00 -0.3599757678 -0.1458664902 2.431320e-01 52 -12.750840 -3.644334e+00 0.8996281438 -1.7634014578 1.822726e-01 53 -16.871050 5.648016e-02 2.3981671866 -0.0353032314 -1.575028e+00 54 -13.608312 4.702596e-02 0.8283861325 -1.4717629722 -4.831622e-01 55 -13.481638 -2.577671e-01 0.6585367418 -1.3923236257 4.672510e-01 56 -14.662836 3.399070e-01 1.7639307004 -0.7054110859 3.512653e-01 57 -13.263405 -4.139320e+00 0.9280481277 -0.8398274204 -2.843385e-01 58 -13.913278 -2.984427e+00 -1.5636094563 0.9914748154 -4.556038e-01 59 -12.309755 6.503226e-01 -0.3257498850 -1.5359653905 1.759996e+00 60 -12.553440 -1.736660e+00 0.7759046507 1.3538190014 1.121057e+00 61 -10.014625 -5.056319e+00 -1.1337467896 -1.1358582251 7.475653e-01 62 -13.092782 4.635597e+00 -0.2471100880 0.8661737298 4.251468e-01 63 -11.843207 -2.265237e+00 -2.7125339349 0.6459222233 3.104942e-01 64 -12.163495 -1.591260e+00 0.2654929796 1.4458588688 1.781648e+00 65 -11.753252 2.309547e+00 -0.1187596308 0.1732925495 2.457341e+00 67 -14.927098 1.871015e+00 1.7040225971 1.6637587681 1.053003e-01 68 -11.591086 -7.965142e-01 -0.8784973074 -0.4322079483 7.475416e-01 70 -16.212293 5.004183e+00 0.8910683413 -1.2604933366 -5.484156e-01 71 -8.473340 2.179386e+00 0.6941429185 -1.0357837464 4.108479e+00 72 -15.183543 -9.197007e-01 -0.2196717572 0.3442941422 -3.920442e-01 73 -13.727918 -3.832847e+00 0.8431877329 1.0634191709 3.565192e-01 74 -12.944240 1.542870e+00 1.9565448600 -0.3697840804 -5.245448e-01 75 -13.632761 -1.889419e+00 -0.6351919537 0.9218605689 -6.871152e-01 76 -10.975181 -1.857787e+00 1.5343116586 -1.7025127328 4.451938e-01 77 -12.711859 1.166429e+00 -0.3413258344 -0.2487149896 -3.257599e-01 78 -13.499320 -2.074163e+00 -0.4534061475 -1.1784369229 -2.559783e-01 79 -10.854615 -6.446791e+00 -0.4325763800 -0.5836092992 1.817184e+00 80 -11.429729 -5.974173e-01 -2.2441283317 -0.6012690570 -2.412260e+00 81 -12.722194 1.082226e+00 -0.6124761276 -0.0220345872 1.520448e-02 82 -13.534704 1.875244e+00 -0.6850041669 -2.7404345232 -9.586369e-01 83 -13.295881 -6.534710e-01 1.6846756907 -2.1611700857 1.632393e+00 84 -13.233131 1.961429e+00 -2.3135245368 -0.3377089312 -5.034906e-01 85 -13.024783 -6.690923e-01 -0.8946698958 -0.6693485418 1.265918e+00 86 -13.814074 -7.469667e-01 -0.4416190513 0.4527116051 -5.571187e-01 87 -12.928411 -5.083843e+00 -1.2456928753 -0.4732782847 -1.383592e+00 88 -12.983593 -6.445493e-01 -1.3104544251 0.9168520180 -6.357579e-01 89 -10.751929 -1.368945e+00 1.9195239354 -1.9904153489 3.315839e+00 92 -13.489383 2.426598e+00 -1.0473648837 -0.7071631761 5.410934e-01 94 -12.671669 2.471253e+00 -0.8866927827 -0.4793325366 -1.702003e-02 95 -12.931965 2.644484e+00 -0.9712182091 -0.5825246247 8.881439e-03 96 -13.669913 5.970305e+00 1.3305246826 0.3173393258 1.801196e+00 97 -14.781732 6.154954e-02 -0.4438814578 -0.1463992516 -1.189836e+00 98 -13.286470 -4.314716e+00 1.2531413702 0.7536471584 1.644318e+00 100 -14.854747 2.190265e+00 1.1755316812 -1.1988911137 6.633156e-03 102 -12.157731 2.686181e+00 -1.3472245098 -1.7996731092 -8.078766e-01 103 -12.487851 -4.302315e-01 -0.3927400607 -0.2385999866 -5.084701e-01 104 -13.534842 -1.707935e+00 -3.2702769390 0.0632693675 1.377992e+00 105 -14.307410 -1.982310e-01 -1.6220225226 -0.9758407036 -6.421228e-01 106 -14.085833 1.050507e+00 -1.3868233376 -0.2666780032 1.349794e+00 107 -12.543688 -1.990589e+00 0.4466889936 -0.5578139813 -2.187894e+00 108 -14.750581 7.962603e-01 0.4543008222 -0.9910487093 -8.898580e-01 109 -13.914599 4.892070e+00 -0.5402644539 -1.3598142616 -1.402258e+00 110 -13.560629 -6.824574e-01 -2.0518204414 -1.0670357945 5.622554e-01 111 -13.057407 4.110054e+00 1.1924131678 -2.6419179117 -8.153305e-01 112 -13.925184 1.651454e+00 -0.5225324964 -0.3586027399 2.655272e-01 113 -12.626073 -3.705450e+00 -0.2120557972 -0.1113601515 -2.396959e-01 114 -12.382453 -1.461490e+00 0.2761745788 1.1053187444 1.484325e+00 115 -16.635461 4.839091e-01 -0.2800105831 0.3425303890 -3.228328e-01 116 -13.492588 -2.089577e+00 0.1728740109 -0.5488982759 8.760669e-01 117 -14.322377 7.264191e+00 0.4663830180 0.5767795590 6.681686e-01 118 -12.328034 1.344979e+00 -1.5607789431 1.1628357079 -1.183413e+00 119 -12.339708 -2.793982e-01 -0.6625777567 2.4865651592 -8.476768e-01 120 -14.839280 2.489331e-01 -0.2277300716 1.4329771842 -7.840844e-01 121 -13.790160 -3.325307e+00 0.2044593172 -0.5324701010 -3.225276e-02 122 -14.781543 1.993338e+00 1.6930598276 1.7287567437 9.820458e-01 124 -13.633600 2.686058e+00 0.7535094619 0.2990240652 2.772911e-01 125 -11.307274 9.370631e-01 -0.2340993156 -0.7490466072 1.154829e-01 126 -11.608095 -2.464960e+00 0.2157545966 0.0425555248 6.461313e-01 127 -15.105655 -1.908363e+00 -1.2238602903 -1.5248134008 -7.607145e-01 129 -15.579385 2.881990e+00 -0.7988603620 -1.5943702253 1.255296e+00 130 -13.682454 1.537036e+00 1.1613889841 0.6673830693 5.383720e-01 131 -12.840694 4.167474e+00 0.0761186961 -1.0461964848 6.989713e-01 132 -13.108883 -1.889612e+00 -0.5660087690 -1.9059394902 5.091423e-01 133 -11.802122 4.409833e+00 -1.3312601688 0.5672475662 1.109758e+00 134 -12.731940 -5.551587e+00 -0.8811844908 0.9641445532 8.513132e-01 135 -12.734222 5.802001e+00 -0.1133606850 -0.4539549737 -1.084567e-01 136 -13.361644 -3.045735e+00 -0.9166466789 -0.4691126020 -3.872212e-01 137 -12.795986 -3.433574e+00 -3.1644274118 -0.8071954034 1.217213e+00 138 -13.885900 3.624565e+00 -0.3756260262 -0.1361008766 8.127964e-01 139 -14.554933 -5.085716e+00 -1.1594226698 0.7803579521 -2.887755e-01 140 -12.999713 -1.969215e+00 2.7613392882 1.6049013932 1.453081e+00 141 -13.124322 -3.462381e+00 1.4722076560 -0.0372416472 2.774562e-02 142 -13.718145 6.171616e+00 0.2449444040 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-0.4914097624 -4.515334e-01 1.480871e+00 -8.392089e-01 1848 1.4334430083 -0.0492588839 -3.395813e-01 -7.055463e-01 -7.028500e-01 1849 -0.0919255176 -0.5950505505 -3.961619e-01 -1.331413e+00 6.783644e-01 1850 0.9140069107 1.7056601212 -9.844352e-01 2.075145e+00 -4.818691e-01 1851 1.2815000917 1.2551037671 -9.768857e-01 -6.348433e-01 -1.307817e+00 1852 1.2316799594 0.9678819675 -8.192757e-01 3.886521e-01 7.409931e-02 1853 -0.2892549329 -0.9722232354 -6.755057e-01 -1.494095e+00 3.367588e-01 1854 0.7918622301 -0.2484460917 6.205569e-01 -1.557341e+00 6.810013e-01 1855 1.1601605057 -2.5156428865 -9.902960e-01 -6.222895e-01 -1.029773e-01 1856 -0.5301237253 0.6479511017 5.157744e-01 -9.218115e-01 -7.652622e-01 1857 0.0045661300 0.3198726050 -7.022509e-01 -4.544846e-01 7.782973e-01 1858 -1.1473058796 -1.8745722790 -1.670876e+00 -4.712649e-01 -1.689217e+00 1859 0.7609125496 0.7036592690 1.150800e-01 7.685656e-01 -2.930121e-01 1860 0.1215918734 0.4183220696 -4.239023e-01 3.783586e-01 2.671380e-03 1861 -0.3178297658 -0.1277115157 5.793506e-01 8.570821e-01 9.995721e-01 1862 0.1110806178 -0.3708089936 1.855575e-01 1.033900e+00 5.383736e-01 1863 0.5075839059 0.0388578317 1.454856e-01 -2.453667e-01 1.478882e+00 1864 0.2727698033 -1.2819260214 5.454368e-01 1.690562e-01 -3.611513e-01 1865 0.7867490938 -1.3301244660 9.677365e-03 1.228776e+00 2.760733e-01 1866 -0.1840893081 -0.1281050646 4.967152e-01 2.266118e-01 1.215072e+00 1867 0.5381452562 1.1917540535 2.203041e+00 4.381351e-01 -3.746620e-01 1868 0.9629575199 -0.2024719000 5.555495e-02 1.477696e-02 -1.222511e+00 1869 0.4200326706 -2.2511761339 5.398670e-03 -1.496245e-01 4.277601e-01 1870 0.5162000246 -0.1607941846 6.078497e-01 -6.827463e-02 2.779637e-01 1871 1.0394342651 1.0939318438 6.088891e-01 1.347336e+00 -1.874855e-01 1872 0.9412658323 0.9969898034 1.773566e+00 3.921490e-01 3.844771e-01 1873 0.2251613765 -0.1096116650 -1.567504e+00 -9.935007e-01 1.418786e+00 1874 0.3851578032 0.0687613357 -1.248772e+00 -7.862613e-01 1.828610e+00 1875 -0.5791275800 0.2846954001 1.774835e+00 -2.363463e+00 1.177150e-01 1877 -0.6265450222 -0.3160092485 -4.848263e-01 6.505485e-01 1.278700e+00 1879 0.2506703590 -1.3035161139 -1.105156e+00 -1.449711e-01 -2.414587e-01 1880 -0.4983712311 0.6815222193 -4.923556e-01 -1.307426e+00 1.089869e+00 1882 1.3456709127 -0.5010604936 1.036170e+00 -3.339774e-01 -3.274415e-01 1883 0.8063099159 0.1701314331 -2.288776e-01 -1.377767e+00 -3.950681e-01 1884 -2.7283591450 1.0506543947 6.428130e-01 1.760821e-01 -9.928113e-01 1885 -0.6852758722 -0.8022425244 4.782851e-01 -4.975351e-01 1.177994e+00 1886 2.9678342642 0.1298661131 -3.105185e-01 -1.520897e+00 4.056046e-01 1887 0.3217995360 1.4155370519 1.338151e+00 6.824903e-02 1.313125e+00 1888 -0.8280117551 0.6813396817 1.164250e+00 4.339534e-01 1.670470e-01 1889 1.1085013326 -1.1373271601 -6.663588e-01 1.335435e+00 4.670099e-01 1890 0.2894624429 -0.1583953147 -5.454319e-01 4.597276e-02 1.280046e+00 1891 -0.3738054549 0.9665803617 -5.817012e-01 -9.675417e-01 7.813507e-01 1892 0.2903804555 -1.2428193820 -1.033245e-01 -5.760209e-01 -1.945346e-01 1893 -1.1077843370 0.3352367835 -1.415347e-01 -1.642971e-01 -2.897927e-02 1894 1.0712067504 0.9082903347 -8.982346e-01 3.106148e-01 3.619302e-01 1895 0.2066599749 -2.5792337954 -2.850238e+00 3.101828e+00 1.224512e+00 1896 0.3777211801 0.1687188552 2.635448e-01 -1.083788e+00 2.946684e-01 1897 -0.8840642441 1.9007667577 -1.312620e+00 1.114273e+00 1.983039e-01 1898 0.1457256535 0.1386672814 -4.258481e-02 -1.064044e+00 -1.339442e+00 1899 -0.1803986419 -0.3891654645 -8.463453e-01 1.673226e+00 8.371710e-01 1901 0.4037367967 0.3394399098 -1.888774e+00 -1.119546e-01 -7.012937e-01 1902 0.5522262830 -2.8094306907 2.546264e-01 -2.143017e+00 -2.659145e-01 1903 -1.0792463624 -1.3951028689 -8.311139e-01 8.042826e-01 -6.049374e-01 1905 0.3218545173 -0.9931600685 1.274650e-01 8.053212e-01 -2.054596e-01 1906 -0.3599375031 0.1659277750 2.729951e-01 -1.989751e+00 -9.736616e-02 1907 1.5432434152 -0.5593675677 -7.454280e-01 1.736770e+00 4.930515e-01 1908 2.0738786891 0.2047942071 2.039089e-01 -5.972178e-01 3.448880e-01 1909 0.5294755582 -1.2365092231 -9.320092e-01 9.039199e-01 1.842913e-01 1910 -0.0967942372 1.3903687697 -3.534027e-01 -8.300819e-01 5.615974e-01 1911 1.4973603873 1.1599838434 -2.128362e+00 1.534613e-01 -9.518418e-01 1912 1.5974224174 -0.8365847889 -5.923222e-01 5.033938e-01 6.463458e-01 1913 -0.5071905222 -0.2936359409 2.497876e-03 -5.866190e-01 1.100706e+00 1914 -0.0746955696 -1.4097033121 -7.228783e-01 2.644724e-01 3.782661e-02 1916 -1.2650919043 0.8698201216 7.432374e-01 -7.727122e-01 -9.357142e-01 1917 -0.3522239233 1.6029170133 2.069857e+00 1.749272e+00 3.109999e-01 1918 -0.6988607685 -0.7476737144 2.843398e+00 7.105642e-01 3.727785e-01 1919 0.4651052369 -0.2482352222 1.425345e+00 1.256479e+00 6.471473e-02 1920 0.8193595389 1.7884248718 9.553889e-01 -6.251307e-01 -1.204826e+00 1921 0.7227036444 -0.3214925449 -5.669782e-01 -7.318338e-01 6.692284e-02 1922 0.5554271673 0.7239821980 6.161115e-02 1.088955e-02 3.110749e-01 1923 -1.4203152280 -0.7715326057 1.244491e+00 1.954203e-01 -2.613313e-01 1924 -1.1385550757 -0.3065260361 1.002397e+00 -4.210453e-01 2.576633e-01 1925 -1.9985932492 -1.6379200276 3.046028e-01 -2.642817e+00 4.167123e-01 1926 -1.9985932492 -1.6379200276 3.046028e-01 -2.642817e+00 4.167123e-01 1927 -1.1649970482 0.1052280230 -4.915394e-01 -1.681119e+00 1.052586e-01 1928 -0.2154574711 -1.1931010859 5.400886e-01 4.674400e-01 -1.523482e+00 1929 0.2035685805 0.2384406916 1.523467e+00 -1.553650e+00 3.243906e-01 1930 0.1885799252 -0.7753327715 8.861697e-01 4.821079e-01 3.198828e-02 1931 -0.3353124081 0.0152948897 1.651682e-01 -1.463814e+00 -1.465932e+00 1933 -0.3840722752 -0.4995440272 1.128517e+00 -4.592372e-01 9.551239e-01 1934 -0.8863252001 0.0941626077 2.301444e+00 9.821600e-01 -5.341708e-01 1935 0.2203715271 -0.0142950884 4.234541e-01 3.845571e-02 -7.103475e-01 1936 0.1486780844 -0.2381942627 -2.025528e+00 -6.060366e-01 5.800260e-01 1937 -0.1569573047 0.9211882163 -5.798737e-02 2.229961e-01 8.563217e-02 1938 0.5955361248 1.6445451509 3.015178e+00 -8.346183e-01 -2.271904e-01 1939 0.4885424407 -0.9221144671 -1.037159e-01 7.391537e-01 -3.786993e-01 1940 -1.1828399168 0.9522292645 4.351121e-02 7.879615e-01 1.153231e+00 1941 2.0578053776 -0.5602728207 -1.391336e+00 2.211660e-01 -2.576025e-01 1942 0.5893003726 -0.4966516285 -1.808981e+00 1.429444e-01 -6.603329e-01 1943 -1.3903115056 -0.0847184745 6.869744e-01 9.804183e-01 5.016663e-02 1944 -0.9424241574 0.5029794951 8.276144e-01 -2.735443e+00 -9.451051e-01 1945 0.8615114568 -0.8367583152 8.088938e-01 -1.555816e+00 4.031426e-01 1946 -1.6517493645 -0.0779946286 5.143005e-01 -3.425841e+00 -1.472362e+00 1947 -0.8527215250 0.2150817557 -5.385052e-01 1.940883e-01 5.101303e-01 1948 1.1746527369 -1.3292806775 2.519916e-01 7.376288e-02 -2.558319e-01 1949 0.2160635216 1.2148444893 7.384288e-01 1.503497e+00 1.317675e+00 1950 -0.8261196647 1.6521951664 -7.092513e-01 -1.434772e-01 1.032482e+00 1951 -0.9215203358 1.7418474053 2.171926e-01 1.325140e+00 -8.362753e-02 1953 0.8790575402 0.0087967330 6.149069e-01 6.193173e-01 -1.613473e+00 1954 -0.6033981165 0.9843979251 3.596420e-01 2.272378e-01 -3.304783e-01 1955 0.6278177767 0.1976032807 -1.174227e+00 4.589498e-01 4.623339e-01 1956 0.2209321401 1.0579855610 -1.166365e+00 -1.224156e+00 6.468602e-01 1957 -0.2984000510 0.3045941065 6.397117e-01 -1.860069e+00 1.225264e+00 1959 0.7574849926 0.8153750823 -7.905296e-01 1.749416e-01 -6.420126e-01 1960 0.8711192428 -1.1637923134 2.744585e-01 -1.246218e+00 7.199148e-01 1962 0.6475694024 0.9523691807 7.679404e-01 -1.121125e+00 6.381949e-01 1964 -1.9793557836 -1.1041774841 -1.133625e+00 -1.306399e+00 1.319623e+00 1965 1.3086506840 -1.4870776868 -4.256642e-01 3.991855e-01 1.816807e-01 1967 -1.1151197614 0.9956428663 1.231933e+00 1.400657e-01 1.909691e+00 1968 0.1379843762 0.9631703003 6.405765e-01 9.443356e-01 2.818569e-01 1969 3.1149937267 -0.2053987114 1.006758e+00 3.225579e-01 -1.880345e+00 1970 0.6210527052 0.7832914173 7.279020e-01 1.833670e+00 -2.117308e+00 1971 0.0287186265 -0.3396796977 -3.045076e-01 1.310185e-01 -1.255862e+00 1972 0.5797001944 0.8513495547 2.797788e+00 2.191313e+00 1.231441e+00 1973 0.4520584600 0.6735182162 -4.607364e-01 -1.188299e+00 3.118033e-02 1974 0.5998409706 -1.4311004172 1.851055e-01 8.741528e-01 5.756421e-01 1975 -0.6592389104 -0.1079158459 6.696349e-01 -1.167754e+00 1.148707e+00 1976 1.5650425905 -1.5013330302 5.943946e-01 8.030763e-01 -5.876771e-01 1977 -0.7131761845 0.5203214270 1.265044e+00 -6.553048e-01 -1.255439e-01 1978 0.0314118552 0.5979127090 8.564598e-01 4.015760e-01 -6.042247e-01 1980 0.3281099423 -0.6366625968 -1.080606e+00 -7.039517e-01 -5.417342e-01 1981 1.4495121276 -0.5862342888 -4.709347e-01 1.756205e+00 1.296513e-01 1984 0.9699174929 1.5016959498 -1.981484e-01 8.097404e-01 1.020738e+00 1985 0.8033400835 -0.2119172163 1.732211e+00 -2.489522e+00 -9.634876e-01 1986 0.2092561139 1.5493788595 -4.465812e-01 2.585177e-01 -7.037216e-02 1987 0.7364410534 -0.0312991480 1.444795e-01 -6.716268e-01 7.084504e-01 1988 -0.0859599523 0.4284531205 -1.224846e+00 -1.020956e+00 4.167097e-01 1989 0.4707984420 -0.2036277712 8.609524e-01 -9.193835e-01 -4.433619e-01 1990 0.9751519639 -0.5404858070 -2.239269e-01 -8.960201e-01 -9.259200e-02 1991 -0.9795690417 0.7129034666 3.175459e+00 2.816652e+00 -1.101276e+00 1992 -0.0810418366 0.1664928074 -4.848600e-01 1.178885e+00 -2.334814e-01 1993 -0.2882651317 0.3241759360 -4.824589e-01 -1.713607e+00 6.305998e-01 1994 -1.9655120704 -0.3847632867 -1.403217e-01 3.919448e-01 8.105315e-01 1995 1.6746610949 -0.8680264739 1.867955e+00 1.634272e+00 -7.897616e-01 1998 1.7234560562 -2.1451230101 -1.461249e+00 5.965557e-02 -1.125439e-01 2000 0.6010545138 1.5611193891 -1.407286e+00 -3.901840e-01 -6.070711e-01 2001 -0.3245434044 -0.1880211982 -2.406130e+00 7.178919e-01 1.747203e-01 2002 1.5442889898 -0.9975164722 3.997256e-01 3.620543e-01 -7.144622e-01 2003 0.9382264804 0.0436524462 2.282817e+00 1.550687e-01 5.043989e-01 2004 0.2674614185 0.3989226953 -3.130714e-01 5.946379e-01 -1.050056e+00 2005 -0.2501193190 0.0109445979 3.169278e-01 1.979176e+00 -9.578772e-01 2006 0.4570773223 0.7312428785 -1.866248e-01 -4.021104e-01 1.161959e+00 2007 0.0233409753 -0.1587522099 1.455732e+00 -2.499942e-01 3.455736e-01 2008 0.1681079184 -1.5131290646 2.396035e-01 -5.407226e-01 5.998990e-01 2009 0.8245029330 -2.1686386909 2.123524e+00 1.823909e+00 4.054619e-01 2010 -0.4637725967 0.3827527875 2.357134e-01 -6.343572e-01 8.292063e-02 2011 -1.6976980014 0.2846653467 -1.031885e+00 -3.864354e-01 8.732527e-02 2013 -0.3787392155 -2.0231528309 -1.643070e+00 1.947182e+00 -8.809360e-01 2014 -0.1441367993 0.4882826273 -5.332359e-01 8.150598e-01 -1.405847e-01 2015 -0.0493006499 0.1995536153 -6.506962e-02 3.720537e-01 2.805500e-01 2016 0.7410305748 -0.0553020315 5.606547e-01 8.064622e-01 6.412975e-01 2017 -2.1154118998 -0.4798791749 1.920724e+00 9.185744e-01 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