Exam 2: Statistics Review for PSYC Measurement

Why is it always important to first construct a scatter plot when examining bivariate relationships, before then computing the bivariate correlation coefficient?

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Question 1

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The scatter plot will give you some indication of the size and direction of the bivariate relationship, as does the correlation coefficient, but most importantly it will give you a sense of the shape of the relationship. That is, is the bivariate relationship linear (as often assume) or potentially curvilinear. You can also identify univariate and bivariate outliers using the scatter plot.

A statistic is to a sample, as a(n) __________.

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If I wanted to estimate a test takers true underlying level of ability that resulted from a given assessment, I would compute a(n) _________.

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Shaun completed his first exam in biology and earned a score of 38. This seemed low to him, so he asked his professor what percentile rank this represented. The professor replied it was equivalent to the 85th percentile. What is the interpretation of Shaun's score (a percentile rank score of 85) in this case?

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Question 4

Which of the following words could legitimately fit into this sentence: "The simple frequency distribution has two _____ of 13 and 18".

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Question 5

A frequency distribution of test scores with a mean of 100 and a median of 90 would be described as _______.

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Question 6

How would you interpret a test score of z=+1.0? What percentile score would this represent?

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Question 7

Greek letters are used in statistics to _________.

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Question 8

Assume you conduct a study to evaluate the relationship between the amount of time a child is read to at age 3 and their reading ability at age 15. You find a correlation of .04. This correlation suggests _____.

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Question 9

Why do Shultz, Whitney, and Zicker (2021) suggest in Module 2 that descriptive statistics tend to be more informative in applied psychological testing than statistical significance testing?

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Question 10

Your study partner can't understand why Professor Shultz spent so much time discussing z scores, in that they don't seem all that important. What would be your response to your study partner as to why z scores are so important in the field of tests and measurement?

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Question 11

What are the major determinants in deciding whether to construct a simple (i.e., individual score) frequency distribution or a grouped frequency distribution to describe a set of test scores?

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Question 12

The preferred measure of central tendency for test scores that are measured with an interval level of measurement, which are not severely skewed, would be ______.

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Question 13

Why do Shultz, Whitney, and Zicker (2021) suggest that in terms of inferential statistics in psychological testing, that estimation is more informative than statistical significance testing?

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Question 14

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Why is it always important to first construct a scatter plot when examining bivariate relationships, before then computing the bivariate correlation coefficient?

A statistic is to a sample, as a(n) __________.

If I wanted to estimate a test takers true underlying level of ability that resulted from a given assessment, I would compute a(n) _________.

Which of the following words could legitimately fit into this sentence: "The simple frequency distribution has two _____ of 13 and 18".

A frequency distribution of test scores with a mean of 100 and a median of 90 would be described as _______.

How would you interpret a test score of z=+1.0? What percentile score would this represent?

Greek letters are used in statistics to _________.

Assume you conduct a study to evaluate the relationship between the amount of time a child is read to at age 3 and their reading ability at age 15. You find a correlation of .04. This correlation suggests _____.

Why do Shultz, Whitney, and Zicker (2021) suggest in Module 2 that descriptive statistics tend to be more informative in applied psychological testing than statistical significance testing?

Your study partner can't understand why Professor Shultz spent so much time discussing z scores, in that they don't seem all that important. What would be your response to your study partner as to why z scores are so important in the field of tests and measurement?

What are the major determinants in deciding whether to construct a simple (i.e., individual score) frequency distribution or a grouped frequency distribution to describe a set of test scores?

The preferred measure of central tendency for test scores that are measured with an interval level of measurement, which are not severely skewed, would be ______.

Why do Shultz, Whitney, and Zicker (2021) suggest that in terms of inferential statistics in psychological testing, that estimation is more informative than statistical significance testing?

Introduction and Overview

Sychological Scaling

Test Preparation and Specification

Reliability Overview: Classical Test Theory

Estimating Reliability

Content Validation

Criterion-Related Validation

Construct Validation

VG Psychometric Meta-Analysis Copy

Tests Bias Unfairness and Equivalence

Developing Tests of Maximal Performance

Classical Test Theory Item Analysis

Scoring Tests

Developing Measures of Typical Performance

Response Biases

Multiple Regression

Exploratory Factor Analysis

Confirmatory Factor Analysis

Item Response Theory

Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning

Generalizability Theory

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