Podcast
Questions and Answers
What is the systematic error variance called?
What is the systematic error variance called?
- Bias (correct)
- Random error
- True score
- Error variance
Which of the following are methods for testing item discriminability?
Which of the following are methods for testing item discriminability?
- Extreme group method
- Point biserial method
- Item characteristic curve
- All of the above (correct)
What is a double-barreled item?
What is a double-barreled item?
- An item that measures a construct not related to the intended construct
- An item that is too difficult for most students
- An item that asks two questions in one (correct)
- An item that is too easy for most students
What does the slope of an Item Characteristic Curve (ICC) indicate?
What does the slope of an Item Characteristic Curve (ICC) indicate?
A test is considered reliable if its results are:
A test is considered reliable if its results are:
Which type of validity is concerned with the extent to which a test reflects real-world situations and behaviors?
Which type of validity is concerned with the extent to which a test reflects real-world situations and behaviors?
Which of the following is NOT a type of psychological test?
Which of the following is NOT a type of psychological test?
What is the purpose of collecting a standardization sample?
What is the purpose of collecting a standardization sample?
What is the difference between a structured personality test and a projective personality test?
What is the difference between a structured personality test and a projective personality test?
Which of the following is NOT a scale of measurement?
Which of the following is NOT a scale of measurement?
A histogram is used to visualize:
A histogram is used to visualize:
Which of the following measures of central tendency is most affected by outliers?
Which of the following measures of central tendency is most affected by outliers?
A distribution with a negative skew has:
A distribution with a negative skew has:
What is the principle of least squares and how does it relate to the regression line?
What is the principle of least squares and how does it relate to the regression line?
What is the difference between simple linear regression and multiple regression?
What is the difference between simple linear regression and multiple regression?
Which of the following is NOT a way to address low reliability?
Which of the following is NOT a way to address low reliability?
What are the five characteristics of a good theory?
What are the five characteristics of a good theory?
What is the standard error of measurement and what is its relationship to the residuals?
What is the standard error of measurement and what is its relationship to the residuals?
What is the coefficient of determination and what is the purpose of the coefficient of determination?
What is the coefficient of determination and what is the purpose of the coefficient of determination?
To avoid bias, how should error be distributed in a psychological test?
To avoid bias, how should error be distributed in a psychological test?
What is shrinkage? What are its consequences?
What is shrinkage? What are its consequences?
Define test and item.
Define test and item.
Be able to define, recognize, and differentiate between states and traits.
Be able to define, recognize, and differentiate between states and traits.
Define achievement, aptitude, and intelligence testing.
Define achievement, aptitude, and intelligence testing.
If a test is reliable, its results are what?
If a test is reliable, its results are what?
What are test batteries?
What are test batteries?
Define standardization. Why is it important to obtain a standardization sample?
Define standardization. Why is it important to obtain a standardization sample?
Define representative sample and stratified sample. Know when and why representative and stratified samples are collected.
Define representative sample and stratified sample. Know when and why representative and stratified samples are collected.
Define hypothetical construct.
Define hypothetical construct.
Define operational definition, measurable phenomenon, and hypothetical construct.
Define operational definition, measurable phenomenon, and hypothetical construct.
What is the difference between structured and projective personality tests?
What is the difference between structured and projective personality tests?
Define psychological testing and psychological assessment. How are they different?
Define psychological testing and psychological assessment. How are they different?
What is psychometry? What are the two major properties of psychometry?
What is psychometry? What are the two major properties of psychometry?
What are norm- and criterion referenced tests? How is each unique?
What are norm- and criterion referenced tests? How is each unique?
What types of questions are answered by psychologists through assessment?
What types of questions are answered by psychologists through assessment?
In what settings do psychologists assess and what is their primary responsibility in each?
In what settings do psychologists assess and what is their primary responsibility in each?
What are the three properties of scales that make scales different from one another? Describe each.
What are the three properties of scales that make scales different from one another? Describe each.
Know the four scales of measurement and be able to differentiate between these scales.
Know the four scales of measurement and be able to differentiate between these scales.
Define frequency distribution and histogram? What kind of data are shown in each?
Define frequency distribution and histogram? What kind of data are shown in each?
Understand the concept of percentiles.
Understand the concept of percentiles.
Think of concrete examples of each of the different scales of measurement.
Think of concrete examples of each of the different scales of measurement.
Define central tendency. Know the three types of central tendency and how to calculate each.
Define central tendency. Know the three types of central tendency and how to calculate each.
Know the advantages and disadvantages of the different measures of central tendency and when to use them.
Know the advantages and disadvantages of the different measures of central tendency and when to use them.
Define variance and standard deviation.
Define variance and standard deviation.
Understand Normal Distribution conceptually.
Understand Normal Distribution conceptually.
Define skewness and be able to identify positive and negative skew.
Define skewness and be able to identify positive and negative skew.
Define kurtosis and be able to identify its different types, including leptokurtic, platykurtic, and mesokurtic.
Define kurtosis and be able to identify its different types, including leptokurtic, platykurtic, and mesokurtic.
What is a z score? How is it calculated?
What is a z score? How is it calculated?
How are T scores different from Z scores?
How are T scores different from Z scores?
What are quartiles? What is Interquartile range?
What are quartiles? What is Interquartile range?
Define norm, norming, and standardization. For what is each used?
Define norm, norming, and standardization. For what is each used?
Define and differentiate between norm-referenced and criterion-referenced tests.
Define and differentiate between norm-referenced and criterion-referenced tests.
Flashcards
Test
Test
A tool used to measure ability or knowledge.
Item
Item
A single question or prompt within a test.
States vs. Traits
States vs. Traits
States are temporary feelings; traits are consistent characteristics.
Achievement Testing
Achievement Testing
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Aptitude Testing
Aptitude Testing
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Reliability
Reliability
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Standardization
Standardization
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Representative Sample
Representative Sample
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Hypothetical Construct
Hypothetical Construct
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Operational Definition
Operational Definition
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Central Tendency
Central Tendency
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Variance
Variance
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Standard Deviation
Standard Deviation
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Normal Distribution
Normal Distribution
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Correlation Coefficient
Correlation Coefficient
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Pearson Correlation
Pearson Correlation
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Reliability Coefficient
Reliability Coefficient
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Item Analysis
Item Analysis
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Item Difficulty
Item Difficulty
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Inter-rater Reliability
Inter-rater Reliability
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Factor Analysis
Factor Analysis
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Categorical Format
Categorical Format
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Likert Scale
Likert Scale
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Scatterplot
Scatterplot
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Kappa Statistic
Kappa Statistic
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Z Score
Z Score
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Correlation vs. Causation
Correlation vs. Causation
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Error Variance
Error Variance
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Ceiling Effect
Ceiling Effect
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Floor Effect
Floor Effect
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Study Notes
Chapter 1
- Test and Items: Defines tests and individual items within a test.
- States and Traits: Differentiates between states and traits.
- Types of Testing: Defines achievement, aptitude, and intelligence tests.
- Test Reliability: Reliable tests produce consistent results.
- Test Batteries: Collections of various tests.
- Standardization: Importance of standardization samples for representative and stratified samples.
- Representative/Stratified Samples: Sampling methods for a representative sample.
- Hypothetical Construct: A concept that can't be directly observed.
- Operational Definition: Defining a construct in measurable terms.
- Measurable Phenomenon: Observable aspects of a hypothetical construct.
- Personality Tests: Distinguishes structured and projective personality testing.
- Psychological Testing/Assessment: Differentiates testing and assessment.
- Psychometry: Science of psychological assessment; properties include reliability and validity.
- Norm-Referenced/Criterion-Referenced Tests: Tests assessing performance relative to norms or criteria.
- Psychological Assessment Settings: Locations psychologists conduct assessments and their responsibilities.
Chapter 2
- Properties of Scales: Three properties distinguishing different scales of measurement.
- Scales of Measurement: Four scales: nominal, ordinal, interval, and ratio.
- Frequency Distribution/Histogram: Represents data frequencies and distributions.
- Percentiles: Values representing percentages of data below a specific point.
- Central Tendency: Mean, median, and mode.
- Variance/Standard Deviation: Measuring data dispersion.
- Normal Distribution: Characteristics of normal distributions.
- Skewness: Direction of data deviation from the normal distribution.
- Kurtosis: Describes the peak and tails of a frequency distribution.
- Z scores: Standardized scores relative to the mean and standard deviation.
- T scores: Standardized scores with a mean of 50 and standard deviation of 10.
- Quartiles/Interquartile Range: Values dividing data into fourths and representing the middle 50%.
- Norm-Referenced/Criterion-Referenced: Tests are categorized as such.
- Error Distribution: Error distribution in psychological tests for bias avoidance.
Chapter 3
- Characteristics of a Good Theory: Five characteristics of a good theory.
- Scatterplot: A visual representation of correlation.
- Correlation Coefficient: Strength and direction of a linear relationship.
- Correlation vs. Causation: Importance of distinguishing correlation from causation.
- Regression Line: Line of best fit in a scatterplot.
- Pearson Product Moment Correlation: Measures the linear relationship between variables.
- Residuals: Differences between observed and predicted values.
- Standard Error of Estimate: Measures the variability of data around the regression line.
- Shrinkage: Reduction in effectiveness to account for factors due to sample size.
Chapter 4
- Reliability: Consistency of a measure.
- Measurement Error: Factors contributing to errors in measurement.
- Classical Test Score Theory: Theoretical framework for understanding test scores.
- Observed Scores: Observed test scores and their components
- Parallel/Alternate Forms Reliability: Reliability assessed using different versions of a test.
- Split Half Reliability: Measure reliability by dividing a test into halves.
- Internal Consistency Reliability: Assessing reliability through within-test consistency.
- Inter-Rater Reliability: Consistency between different raters.
- Factors Affecting Reliability: Potential elements influencing the reliability of measurements.
- Standard Error of Measurement: Standard deviation of individual differences in scores (reliability).
Chapter 6
- Test Development Stages: Steps involved in test development.
- Validity and Reliability: Concepts of validity and reliability and their types.
- Types of Questions (Formats): Dichotomous and polytomous formats distinguished.
- Summative Scales: Types and data creation.
- Likert Format: Type of measurement scale.
- Item Analysis: Process for evaluating test items using methods like item difficulty and item discriminability.
General
- Norms: Standards for comparison in test scores.
- Hypothetical Construct and Operational Definition: Relationship explored regarding hypothetical constructs.
- Test Formats: Pros and cons of selected-response and constructed-response tests.
- Testing and Assessment: Differences explained between testing and assessment.
- Descriptive Statistics (mean, median, mode): Used for calculating data's central tendency.
- 5 Steps to Create a Measure: Steps involved in hypothetical construct developments.
- Reliability Estimation: Different facets of reliability estimation.
- Types of Measurement Scales (for temperature/other constructs): Consideration for different methods including scale qualities and advantages/disadvantages of each.
- Item Quality Assessment: Evaluating good psychometrically-sound items for testing.
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