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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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Study First
Subjects
:
gre
,
psychology
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
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. Whether content covers a good sample of construct being measured
Content validity
stratified sampling
Lie detector tests
research design
2. 31 cards (1 blank and 30 pictures) with interpersonal scenes (2 people facing each other); subject tells story about each which reveals aspects of personality; often measure need for achievement; interpreting terms include needs - press - personology
quasi-experimental design
generalizability
within subject
Thematic Apperception Test (TAT)
3. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Frequency distributions (+variables)
Domain-referenced tests
range
Projective tests (+types)
4. The hypothesis that no real differences or pattern exist
Null hypothesis
Lewis Terman
Empirical-keying or criterion-keying approach
Draw-A-Person Test
5. A level of <0.05or <0.01 means that chance that seemingly significant errors are due to random variation rather than to true systematic variance is less than 5% or 1%
Alpha levels
Q-sort/measure
Fluid intelligence
double-blind experiment
6. Every member of the population has an equal chance of being chosen for the sample
normal distribution(+characteristic)
Discrete data
Analysis of covariance (ANCOVA)
random sampling
7. The process of representing or analyzing numerical data
Demand characteristic
statistics
Bayley Scales of Infant Development
Experimental design
8. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
frequency polygon
Descriptive statistics (+types)
Rotter Incomplete Sentence Blank
Correlational relationships
9. Used when an experiment involves more than one independent variable - can separate the effects of different levels of different variables - can isolate main effects - can identify interaction effects - ex: studying effect of brain lesion on problem s
Factorial analysis of variance
Domain-referenced tests
random sampling
Lie detector tests
10. Anything that is measured such as height or depression score on a depression scale
California Personality Inventory (CPI)
Item analysis (reliability)
Continuous data
Lie detector tests
11. Used most commonly on standardized test
percentiles
Empirical-keying or criterion-keying approach
between subject
Illusory correlation
12. Originally used with free association techniques; word called out - subject says next word in mind
Rosenthal effect
ratio variables
Word Association Test
statistically significant
13. Combines longitudinal and cross-sectional approach
cohort-sequential design
Central Tendency (types and distribution differences)
Curvilinear relationship
Standard normal distributions
14. Whether test really taps abstract concept being measured
Correlational relationships
Illusory correlation
Central Tendency (types and distribution differences)
Construct validity
15. When relationship inferred when there is none - ex: many people think there is a relationship between physical and personality characteristics - when evidence show there is none
Illusory correlation
Bayley Scales of Infant Development
normal distribution(+characteristic)
Stanford-Binet Intelligence Scale
16. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Word Association Test
Central Tendency (types and distribution differences)
California Personality Inventory (CPI)
range
17. Measure how well you know a subject - measure past learning
Achievement tests
Field study
Central Tendency (types and distribution differences)
quasi-experimental design
18. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Two-way ANOVA
Nonequivalent control group
Analysis of covariance (ANCOVA)
Experimenter bias
19. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Julian Rotter
random sampling
T-score
Thematic Apperception Test (TAT)
20. (Mental age/chronological age)/100 - Highest age = 16
21. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Internal-External Locus of Control Scale
Type I and II errors
Concurrent validity
Face validity
22. Measure innate ability to learn (debatable) - to predict later performance
Aptitude tests
Z-scores
standard error of mean
Frequency distributions (+variables)
23. For children 6-16
Validity (+types)
Wechsler Intelligence Scale for Children (WISC-R)
generalizability
Meta-analysis
24. For even number of values in the set - take the average of the two middle value
Reliability (+types)
nominal variables
median
Intelligence
25. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
ratio variables
Acquiescence
Face validity
26. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Thematic Apperception Test (TAT)
Walter Mischel
Stanford-Binet Intelligence Scale
Analysis of covariance (ANCOVA)
27. 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
histogram
placebo effect
variance and standard deviation
confounding variable
28. Different subjects of different ages are compared - faster - easier
Statistical regression
Discrete data
cross-sectional design
normal distribution(+characteristic)
29. Used when equivalent one cannot be isolated
Longitudinal design
Word Association Test
Nonequivalent control group
Wechsler Intelligence Scale for Children (WISC-R)
30. 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
Two-way ANOVA
Minnesota Multiphasic Personality Inventory (MMPI)
Standard normal distributions
Learn the shape of different distributions
31. Not simple and linear - looks like a curved line - ex: arousal and perfomance - high A --> low P - Low A --> low P - medium A --> high P
Anne Anastasi
Q-sort/measure
Hawthorne effect
Curvilinear relationship
32. 34.13% - 13.59% - 2.02% - 0.26% and - +3 99.74% - +2 97.72% - +1 84.13% - 0 50.00% - -1 15.87% - -2 2.28% - -3 0.26%
Percentages under normal distribution based on SDs (from mean to end)
Achievement tests
normal distribution(+characteristic)
cohort effect
33. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Field study
placebo
Rorschach Inkblot Test
Charles Spearmen
34. Draw a person of each sex and tell a story about them
Draw-A-Person Test
Variability
Alfred Binet
within subject
35. The degree to which an independent variable can predict a dependent variable
Reactance
Myers-Brigg Type Indicator (MBTI)
predictive value
External validity (+types)
36. Fluid intelligence declines with old age while crystallized intelligence does not
range
ANOVA/analysis of variance
Spearman r correlation coefficient
John Horn and Raymond Cattell
37. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Myers-Brigg Type Indicator (MBTI)
double-blind experiment
Graphs (types)
Robert Zajonc
38. Used when n-cases in a sample are classified into categories or cells - tell us whether the groups are significantly different in size - look at the pattern or distributions - not difference between mean - ex:intro psych class categorized into race -
Empirical-keying or criterion-keying approach
Correlational relationships
Chi-square test
Factorial analysis of variance
39. Sorting cards into a normal distribution; each has a different statement on it about personality; to one end is 'least like self' - other is 'most like self' - and middle is neutral; factor analysis to reduce viewpoints into a few factors
Q-sort/measure
Experimental design
F-scale or F-ratio
Donald Campbell and Donald Fiske
40. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
percentiles
Learn the shape of different distributions
Rosenthal effect
Rosenzweig Picture-Frustration (P-F) Study
41. figure out how much each score differs (deviates) from the mean by subtracting the mean from each score - square each of these deviation values (to get rid of negative value) - add all these squared deviations to get the sum of square - divide sum by
variance (calculation)
median
One-way ANOVA
random sampling
42. Mathematically combines and summarizes overall effects or findings for a topic; best known for consolidating effectiveness of psychotherapy - can calculate overall effect size or conclusion drawn from a collection of studies; needed when conflicting
Acquiescence
frequency polygon
Meta-analysis
Walter Mischel
43. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Content validity
Inferential statistics
Population & related
Spearman r correlation coefficient
44. Does not control - but examines how independent variable affects it
social desirability
dependent variable
Selective attrition
Reactance
45. Compares 2 groups of people like an experiment - but this is used when it is not feasible or ethical to use random assignment ex: smoker vs. cancer
quasi-experimental design
Inferential statistics
Correlational relationships
statistically significant
46. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
confounding variable
Acquiescence
Rorschach Inkblot Test
Alfred Binet
47. Assess extent interests and strengths match those found by professionals in a particular job field
Null hypothesis
Vocational tests
Alfred Binet
Percentages under normal distribution based on SDs (from mean to end)
48. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Mean IQ
Face validity
One-way ANOVA
49. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Field study
range
T-score
Anne Anastasi
50. 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
social desirability
Demand characteristic
Objective tests (+types)
Content validity