Podcast
Questions and Answers
Which of these are considered tools of psychological assessment?
Which of these are considered tools of psychological assessment?
What is the definition of a test battery?
What is the definition of a test battery?
The ‘Cut-Score’ is a reference point that is used to divide a data set into two or more classifications.
The ‘Cut-Score’ is a reference point that is used to divide a data set into two or more classifications.
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In psychology, what is a trait?
In psychology, what is a trait?
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What is the difference between ‘Trait’ and ‘State’?
What is the difference between ‘Trait’ and ‘State’?
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What is ‘Reliability’ in psychological testing?
What is ‘Reliability’ in psychological testing?
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The more test items a test has, the lower the reliability.
The more test items a test has, the lower the reliability.
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What is ‘Error Variance’?
What is ‘Error Variance’?
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Which of these is NOT a type of reliability?
Which of these is NOT a type of reliability?
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What is the standard error of measurement?
What is the standard error of measurement?
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What is the difference between ‘Content Validity’ and ‘Criterion Validity’?
What is the difference between ‘Content Validity’ and ‘Criterion Validity’?
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What is the primary aim of ‘Construct Validity’?
What is the primary aim of ‘Construct Validity’?
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A test with high ‘Internal Consistency’ implies that all the test items measure the same construct and are homogenous.
A test with high ‘Internal Consistency’ implies that all the test items measure the same construct and are homogenous.
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What is ‘Utility’ in psychological testing?
What is ‘Utility’ in psychological testing?
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‘Standard Error of Estimate’ is used to determine the difference between the predicted and observed values.
‘Standard Error of Estimate’ is used to determine the difference between the predicted and observed values.
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Which of these are considered measures of central tendency in a distribution?
Which of these are considered measures of central tendency in a distribution?
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What is the difference between a ‘Discrete’ and a ‘Continuous’ scale of measurement?
What is the difference between a ‘Discrete’ and a ‘Continuous’ scale of measurement?
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What is the role of ‘Standard Deviation’ in understanding a distribution?
What is the role of ‘Standard Deviation’ in understanding a distribution?
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What is the primary function of ‘Factor Analysis’?
What is the primary function of ‘Factor Analysis’?
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What is ‘Cross-Validation’ in psychological testing?
What is ‘Cross-Validation’ in psychological testing?
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‘Bias’ is a factor inherent in a test that systematically prevents accurate and impartial measurement.
‘Bias’ is a factor inherent in a test that systematically prevents accurate and impartial measurement.
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What is the difference between ‘Norm-referenced’ and ‘Criterion-referenced’ tests?
What is the difference between ‘Norm-referenced’ and ‘Criterion-referenced’ tests?
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The ‘Flynn Effect’ is a phenomenon where intelligence scores are generally decreasing over time.
The ‘Flynn Effect’ is a phenomenon where intelligence scores are generally decreasing over time.
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‘Standard Error of the Difference’ can help to determine how large a difference should be before it’s considered statistically significant.
‘Standard Error of the Difference’ can help to determine how large a difference should be before it’s considered statistically significant.
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Study Notes
Psychometric Properties and Principles
- Psychological testing is the process of measuring psychology-related variables using devices or procedures to sample behavior.
- Test scores can be categorized as individual or group-administered and interchangeable without affecting evaluation.
- Testing involves technician-like skills in administration and scoring.
- Psychological assessment gathers and integrates data to make psychological evaluations.
- The assessor's role is key in selecting tests and organizing data.
- Evaluation requires the skillful integration of various data sources.
Psychological Test
- A psychological test is a device or procedure used to measure aspects of psychology.
- Tests have different formats (form, plan, structure, arrangement, layout).
- Items are specific stimuli with overt responses used to measure or evaluate performance.
Assumptions About Psychological Testing
- Psychological traits and states do exist and are relatively enduring.
- Traits/states in individuals are consistent across situations.
- Traits/States are relatively stable over time.
- Test-related behavior predictions, can be made for non-test related situations.
- There exist strengths and weaknesses in assessments.
- Errors are part of the process of assessment.
- Assessing should be done fairly.
- Assessments benefit society.
Data Collection
- Data collection in psychological assessment results in narrative descriptions, graphical (graphs), tabular (tables) representations or other representations of a person's characteristics.
- Actuarial assessment is an approach characterized by empirically established statistical rules in a person's evaluation.
- Mechanical prediction combines algorithms and statistical rules to reach findings and recommendations for evaluations.
- Descriptive generalization is the effort of making sense of an individual's life or creating a working image of the individual.
- Extra-test behavior refers to observations related to the test itself.
Parties in Psychological Assessment
- Test authors, developers, publishers, reviewers, users, and takers are part of the process.
- Sponsors and society are also involved.
- Test batteries are sets of tests designed to measure related concepts.
Data Interpretation
- Hit rate is the accuracy in predicting success or failure.
- Psychological assessment evaluation reports provide data interpretations.
- Actuarial and mechanical prediction techniques are often used in evaluation processes.
- Levels of interpretation of data include; Minimal, Descriptive and Hypothetical.
Validity, Reliability and Error
- Reliability is the consistency or dependability of an instrument.
- Reliability coefficients are used to gauge the consistency of test scores.
- Validity measures a tests ability to measure what it purportedly measures.
- Error variance includes various sources of test errors (item sampling, administration, scoring).
- Classical Test Theory and True Score Theory use error variance as a component of evaluation.
- Tests can be evaluated according to their reliability and validity.
Test-Related Issues
- Reliability is affected by factors such as test-retest, item sampling, alternate forms, split-half, and inter-scorer reliability.
- Validity is demonstrated through concurrent and predictive validity.
- Estimation of error variance can be calculated for greater accuracy.
Utility
- Cost-benefit analysis is used, to estimate practical value in assessments.
Measuring Variability and Central Tendency
- Statistics that describe the extent of differences in data are used.
- Central tendency measures such as mean, median, and mode are used in data analysis.
- Variability measures include range, interquartile range, semi-interquartile range, and standard deviation.
- Statistical methods like Variance and Standard Deviation can be used in assessing data.
- Distribution statistics include mean, mode, median, and percentiles.
Testing for Normality
- Normality is examined to determine whether the test results follow a normal distribution.
- Symmetrical distribution is when the right side of the graph mirrors the left.
Measurement Scales
- Measurement of attributes using four levels is possible: nominal, ordinal, interval, and ratio.
- Measurement differences are identified by different levels of measurement.
Hypothesis testing
- Tests are used in examining hypotheses about a population.
- A decision, using hypothesis testing is based on pre-determined levels of significance.
Test Administration, Scoring, Interpretation and Usage
- Appropriate test conditions and procedures need to be employed during administrations and scoring. This can impact the results.
- Test validity, reliability, and usage impacts interpretation and results.
- Ethics and procedures must be followed during the administration, scoring, interpretation, and usage of tests.
Data, Collection and Interpretation
- Guidelines need to be followed during the development and design of tests.
- Careful consideration and careful item selection are needed to create tests.
- Validity indicators include random responding, underreporting and overreporting, and faking.
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