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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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Subjects
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gre
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psychology
Instructions:
Answer 50 questions in 15 minutes.
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Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Null hypothesis
T-score
placebo effect
Fluid intelligence
2. When subjects that drop out are different than those that remain; no longer random
Face validity
Selective attrition
cross-sectional design
Donald Campbell and Donald Fiske
3. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
range
Z-scores
dependent variable
placebo
4. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Discrete data
Validity (+types)
Field study
stratified sampling
5. Different subjects of different ages are compared - faster - easier
nominal variables
Percentages under normal distribution based on SDs (from mean to end)
Stanford-Binet Intelligence Scale
cross-sectional design
6. Mean (standard error of mean) - median mode; normal and platykuric: equal; positively skewed: mode - med - mean; negatively skewed: mean - med - mode; bimodal: equal mean and med - 2 modes
mental age
Descriptive statistics (+types)
Central Tendency (types and distribution differences)
interval variables
7. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
interval variables
Experimental design
Crystallized intelligence
T-score
8. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Item analysis (reliability)
Stanford-Binet Intelligence Scale
double-blind experiment
Draw-A-Person Test
9. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Factorial analysis of variance
Learn the shape of different distributions
Thematic Apperception Test (TAT)
standard error of mean
10. Originally to determine mental illness - now for personality; more clinical than CPI; 550 T/F/unsure questions (e.g. 'I would like to ride a horse'); discriminates between disorders; high validity because highly discriminatory items and 3 validity sc
variance (calculation)
Minnesota Multiphasic Personality Inventory (MMPI)
Content validity
Curvilinear relationship
11. Calculates how off the mean might be in either direction
Beck Depression Inventory (BDI)
frequency polygon
standard error of mean
Item analysis (reliability)
12. Draw a person of each sex and tell a story about them
Draw-A-Person Test
Alpha levels
Acquiescence
Nonequivalent control group
13. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Alfred Binet
Cross validation
standard error of mean
ordinal variables
14. Bell curve; larger the sample - greater chance of having a normal distribution
Nonequivalent control group
Experimental design
Pearson r correlation coefficient
normal distribution(+characteristic)
15. The effect that might result when a group is born and raised in a particular time period
Lie detector tests
within subject
Rotter Incomplete Sentence Blank
cohort effect
16. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Statistical regression
Reliability (+types)
Domain-referenced tests
Criterion-referenced tests
17. Whether content covers a good sample of construct being measured
Experimental design
Item analysis (reliability)
cross-sectional design
Content validity
18. Allows own answer: expression of conflicts - needs - impulses; content interpreted by administrator - some more objective than others; Rorschach Inkblot Test - Thematic Apperception Test - Rosenzweig Picture-Frustration (P-F) Study - Word Association
Population & related
Projective tests (+types)
Face validity
nominal variables
19. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Lie detector tests
Nonequivalent control group
Lewis Terman
ratio variables
20. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Criterion-referenced tests
Standard normal distributions
Frequency distributions (+variables)
21. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type
Null hypothesis
Objective tests (+types)
cohort effect
predictive value
22. Consist of vertical bars in which the sides of the vertical bars touch - useful for discrete variables that have clear boundaries - interval variables in which there is some order
Experimenter bias
stratified sampling
Meta-analysis
histogram
23. For even number of values in the set - take the average of the two middle value
standard error of mean
median
Aptitude tests
Fluid intelligence
24. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Beck Depression Inventory (BDI)
Anne Anastasi
Projective tests (+types)
Z-scores
25. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Z-scores
T-score
Rorschach Inkblot Test
Walter Mischel
26. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
within subject
Two-way ANOVA
Item analysis (reliability)
Bayley Scales of Infant Development
27. Knowing a fact
Longitudinal design
Crystallized intelligence
frequency polygon
Statistical regression
28. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Rosenzweig Picture-Frustration (P-F) Study
Internal validity
Empirical-keying or criterion-keying approach
Descriptive statistics (+types)
29. Fluid intelligence declines with old age while crystallized intelligence does not
John Horn and Raymond Cattell
ratio variables
Scientific approach
standard deviation (calculation)
30. Internal-External Locus of Control Scale
Reactance
Julian Rotter
Domain-referenced tests
Standard normal distributions
31. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Rotter Incomplete Sentence Blank
Selective attrition
stratified sampling
Lewis Terman
32. The process of representing or analyzing numerical data
Rosenthal effect
Null hypothesis
statistics
Charles Spearmen
33. Measured by the same individual taking the same test more than once
Empirical-keying or criterion-keying approach
Item analysis (reliability)
Test-retest reliability
Myers-Brigg Type Indicator (MBTI)
34. Does not control - but examines how independent variable affects it
dependent variable
standard error of mean
Achievement tests
Learn the shape of different distributions
35. For ranks; determining the line that describes a linear relationship
Longitudinal design
Demand characteristic
Spearman r correlation coefficient
generalizability
36. Process in testing concurrent validity
Word Association Test
statistics
Longitudinal design
Cross validation
37. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
cross-sectional design
double-blind experiment
Wechsler Adult Intelligence Scale (WAIS)
External validity (+types)
38. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Rotter Incomplete Sentence Blank
Nonequivalent control group
Acquiescence
Experimenter bias
39. Attempts to eliminate/minimize these - variables in the environment that might also effect the dependent variable and blue the effect of independent variable on the dependent variable
confounding variable
F-scale or F-ratio
Chi-square test
Internal-External Locus of Control Scale
40. The hypothesis that no real differences or pattern exist
Hawthorne effect
placebo
generalizability
Null hypothesis
41. Data that has been counted rather than measured - usually limited to whole or positive values - ex: group size - number of hospital visit - number of symptoms
normal distribution(+characteristic)
IQ Binet'S equation
Scientific approach
Discrete data
42. Anything that is measured such as height or depression score on a depression scale
Strong-Campbell Interest Inventory
Minnesota Multiphasic Personality Inventory (MMPI)
random sampling
Continuous data
43. Measure innate ability to learn (debatable) - to predict later performance
Fluid intelligence
Wechsler Adult Intelligence Scale (WAIS)
Aptitude tests
research design
44. How much variation there is among n number of scores in a distribution
double-blind experiment
variance and standard deviation
Two-way ANOVA
Reactance
45. There is a general factor in intelligence 'g'
Reactance
Rosenzweig Picture-Frustration (P-F) Study
Charles Spearmen
Factorial analysis of variance
46. Similar to T-test - but can measure more than 2 groups
Standard normal distributions
cohort effect
ANOVA/analysis of variance
Nonequivalent control group
47. When subjects do and say what they think puts them in a favorable light -ex: reporting they are not racist even if they really are
Wechsler Intelligence Scale for Children (WISC-R)
social desirability
T-test
Lie detector tests
48. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
nominal variables
T-score
Donald Campbell and Donald Fiske
Wechsler Intelligence Scale for Children (WISC-R)
49. Measure mastery in a particular area (e.g. final exam)
bar graph
Criterion-referenced tests
Alfred Binet
Donald Campbell and Donald Fiske
50. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Aptitude tests
Inferential statistics
normal distribution(+characteristic)
Charles Spearmen
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