Front Matter
Welcome to PSY 362
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I Module 04
1
Welcome to Norms and Meanings of Test Scores
1.1
Learning Goals
1.2
Module Materials
1.2.1
Explore
1.2.2
Engage
1.2.3
Evaluate
1.2.4
Estimated Video Length
2
Lecture: Norms and Meaning of Test Scores
2.1
Norms and Meaning of Test Scores (04.01)
2.2
Statistics as Summary (04.02)
2.3
Measures of Spread (04.03)
2.4
Transforming Raw Scores (04.04)
2.5
Developmental Norms (04.05)
2.6
Within-Group Norms (04.06)
2.7
Referenced Tests Types (04.07)
2.8
Minimums, Cutoffs, and Expectancy Tables (04.08)
2.9
Interpreting Test Scores Realistically: Remastered (04.09)
II Module 05a
3
Meet our toolbox!
3.1
R
3.1.1
Install R and RStudio
3.1.2
Testing testing
3.1.3
Add-on packages
3.2
Getting Help with R
3.2.1
Further resources
4
R basics and workflows
4.1
Introducing Functions
4.2
Introduction to Objects
4.3
Workspace and working directory
4.3.1
Workspace,
.RData
4.3.2
Working directory
4.4
RStudio projects
4.5
Saving Files and Protips
5
Refreshers and Examples
5.1
Some terms
5.2
Summary Statistics
5.3
Measures of Covariation
5.3.1
Correlation Refresh
III Module 05b
6
Welcome to Classical Test Theory
7
Big Ideas in Classical Test Theory
7.1
Modeling Classic Test Theory
7.2
Model Applications
8
Systematic Error and Unreliability
8.1
Simulate a constant true score
8.2
PISA total reading scores with simulated error and true scores based on CTT
8.3
Reliability and unreliability illustrated
9
Domain Sampling Theory
IV Module 06
10
Installing epmr
11
Statistical definition of reliability.
11.1
Estimating reliability
11.2
Split-half method
11.3
Spearman Brown
11.4
Standard Error of Measurement
12
Interpreting reliability and unreliability
13
Reliability study designs
13.1
Interrater reliability
13.1.1
Proportion agreement
13.1.2
Kappa agreement
13.1.3
Pearson correlation
13.2
Summary
13.2.1
Exercises
V Module 08
14
Validity
14.1
Objectives
15
Overview of validity
15.1
Definitions
15.2
Validity examples
15.3
Sources of validity evidence
16
Content validity
17
Criterion validity
17.1
Definition
17.2
Criterion examples
18
Construct validity
18.1
Definition
18.2
Examples
19
Unified validity and threats
20
Summary
20.1
Exercises
VI Module 09
21
Factor Analysis
21.1
Objectives
22
Measurement models
23
Exploratory factor analysis
23.1
Steps in EFA
23.2
Exploring PISA Approaches to Learning
24
Confirmatory factor analysis
24.1
Steps in CFA
24.2
Confirming PISA Approaches to Learning
25
Summary
25.1
Optional Exercises
VII Module 10
26
Item Analysis
26.1
Objectives
27
Preparing for item analysis
27.1
Item quality
27.2
Piloting
27.3
Data entry
27.4
Scoring
28
Traditional item statistics
28.1
Item difficulty
28.2
Item discrimination
28.3
Internal consistency
28.4
Item analysis applications
29
Additional analyses
29.1
Option analysis
29.2
Differential item functioning
30
Summary
30.1
Exercises
VIII Module 11
31
Item Response Theory
31.1
Learning objectives
32
IRT versus CTT
32.1
CTT review
32.2
Comparing with IRT
33
Traditional IRT models
33.1
Terminology
33.2
The IRT models
33.3
Assumptions
34
Applications
34.1
In practice…
34.2
Examples
35
Summary
35.1
Exercises
IX Module 12
36
Practical Testing Applications
36.1
Tests and decision making
36.1.1
Educational decisions
36.1.2
Psychological decisions
36.2
Test types and features
36.2.1
Cognitive and affective
36.2.2
Achievement and aptitude
36.2.3
Other distinctions
36.3
Summary
36.4
Finding test information
37
Summary
37.1
Exercises
38
Test Evaluation
38.1
Test purpose
38.2
Study design
38.3
Reliability
38.4
Validity
38.5
Scoring
38.6
Test use
39
Summary
39.1
Exercises
X Homework 2
40
Homework Instructions
XI Other Coolness
41
Good Resources
41.1
Learning R
41.2
Psychology Scales
References
License: CC-BY-SA
Psychological Testing
7
Big Ideas in Classical Test Theory
7.1
Modeling Classic Test Theory
7.2
Model Applications