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Flashcards based on review lecture notes focusing on constructs, operational definitions, hypotheses, types of claims, validity, reliability, scales of measurement, central tendency, variance, confidence intervals, t-statistics, sample size, variability, significance, correlation and regression.

Last updated 6:00 PM on 5/1/25
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24 Terms

1
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What value of Pearson's r would represent a weak positive correlation?

.17 (a value close to 0)

2
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<p> what type of correlation is pathway X?</p>

what type of correlation is pathway X?

autocorrelation

3
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<p>what type of correlation is pathway Y?</p>

what type of correlation is pathway Y?

Cross-sectional correlation

4
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<p>what type of correlation is pathway Z?</p>

what type of correlation is pathway Z?

Cross-lag correlation

5
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Define cross-sectional correlation.

Association between two variables measured at the same time.

6
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Define autocorrelation.

Association of a variable with itself, measured at two different times.

7
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Define cross-lag correlation.

Association between an earlier measure of one variable and a later measure of another variable; critical for establishing directionality.

8
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If there is no relationship between two variables, what is the expected value of r?

0

9
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How can you tell if observed r is significant?

If observed r is unlikely to occur if H0 is true, there is a significant relationship. Also, if the 95% CI of r does not include zero, then r is statistically significant.

10
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Which statistic is used to compare two dichotomous variables?

Phi

11
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Which statistic is used to compare two continuous variables?

Pearson's r

12
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Which statistic is used to compare one dichotomous and one continuous variable?

Point-biserial r

13
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Which statistic is used to compare one ordinal and one continuous variable?

Spearman's rho

14
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Which statistic is used to compare two ordinal variables?

Spearman's rho

15
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Which statistic is used to compare two predictors and one outcome variable?

Multiple Regression

16
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What does the Phi coefficient measure?

The relationship between two dichotomous variables.

17
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What does multiple regression involve?

Developing a linear regression model for predicting a criterion variable using 2+ predictors.

18
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<p>How would you most accurately describe the coefficient between HS Math Grades and College GPA</p>

How would you most accurately describe the coefficient between HS Math Grades and College GPA

A significant relationship, controlling for HS Science, HS English, and Sex

19
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<p>How would you most accurately describe the coefficient between HS English Grades ad College GPA?</p>

How would you most accurately describe the coefficient between HS English Grades ad College GPA?

A non-significant relationship, controlling for HS Math, HS Science, and Sex

20
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<p>What is the prediction of College GPA for someone that scores a 'zero' for HS Math, HS Science, HS English and Sex?</p>

What is the prediction of College GPA for someone that scores a 'zero' for HS Math, HS Science, HS English and Sex?

GPA = 0.60

21
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Give the formula for Linear Regression

Ypredicted = ลถ = a + byx X

22
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In Linear Regression, what does 'a' represent?

The 'y-intercept', the value when x = 0 (the 'regression constant')

23
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In Linear Regression, what does byx represent?

Slope of the regression line (the 'regression coefficient')

24
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In Linear Regression, what does ฮฒ (beta) represent?

The 'standardized' b value