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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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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. Tests the same person at multiple time points and looks at changes within that person
Field study
bar graph
Concurrent validity
within subject
2. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
statistics
Type I and II errors
Alfred Binet
California Personality Inventory (CPI)
3. 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
Nonequivalent control group
Central Tendency (types and distribution differences)
research design
Q-sort/measure
4. Created multitrait-multimethod technique to determine validity of tests
Internal validity
IQ Binet'S equation
Strong-Campbell Interest Inventory
Donald Campbell and Donald Fiske
5. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
Crystallized intelligence
Variability
research design
Achievement tests
6. Developed concept of IQ and first intelligence test (Binet Scale)
mental age
Percentages under normal distribution based on SDs (from mean to end)
External validity (+types)
Alfred Binet
7. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Nonequivalent control group
Empirical-keying or criterion-keying approach
social desirability
Internal-External Locus of Control Scale
8. Subjects alter behaviour because they are being observed
Test-retest reliability
Hawthorne effect
Reactance
Validity (+types)
9. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
within subject
ratio variables
Selective attrition
Graphs (types)
10. Measure innate ability to learn (debatable) - to predict later performance
Percentages under normal distribution based on SDs (from mean to end)
Linear regression
Aptitude tests
One-way ANOVA
11. Originally used with free association techniques; word called out - subject says next word in mind
F-scale or F-ratio
Word Association Test
Rosenzweig Picture-Frustration (P-F) Study
Inferential statistics
12. Fluid intelligence declines with old age while crystallized intelligence does not
Thematic Apperception Test (TAT)
John Horn and Raymond Cattell
Central Tendency (types and distribution differences)
Factorial analysis of variance
13. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Criterion-referenced tests
Cross validation
Empirical-keying or criterion-keying approach
Anne Anastasi
14. Every member of the population has an equal chance of being chosen for the sample
random sampling
Alfred Binet
Empirical-keying or criterion-keying approach
Face validity
15. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Anne Anastasi
placebo
Two-way ANOVA
variance and standard deviation
16. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
interval variables
statistically significant
Inferential statistics
Alfred Binet
17. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
median
Empirical-keying or criterion-keying approach
Thematic Apperception Test (TAT)
Beck Depression Inventory (BDI)
18. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Experimenter bias
IQ Binet'S equation
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
One-way ANOVA
19. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Strong-Campbell Interest Inventory
Construct validity
Frequency distributions (+variables)
Achievement tests
20. Notable for cross-cultural application and simple directions - to make the best picture of a man - scored based on detail and accuracy - not artistic talent
Alpha levels
Robert Zajonc
Frequency distributions (+variables)
Goodenough Draw-A-Man Test
21. 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
Field study
Content validity
Spearman r correlation coefficient
Projective tests (+types)
22. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Percentages under normal distribution based on SDs (from mean to end)
Field study
Myers-Brigg Type Indicator (MBTI)
Concurrent validity
23. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
within subject
Experimenter bias
placebo effect
Experimental design
24. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
John Horn and Raymond Cattell
Bayley Scales of Infant Development
Spearman r correlation coefficient
Field study
25. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Longitudinal design
Split-half reliability
Percentages under normal distribution based on SDs (from mean to end)
F-scale or F-ratio
26. How stable measure is; test-retest - split-half
Reliability (+types)
Achievement tests
Mean IQ
Content validity
27. Does not control - but examines how independent variable affects it
dependent variable
Experimenter bias
Wechsler Intelligence Scale for Children (WISC-R)
double-blind experiment
28. 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%
Projective tests (+types)
placebo
within subject
Percentages under normal distribution based on SDs (from mean to end)
29. How the score are spread out overall
T-score
Longitudinal design
histogram
Variability
30. Whether content covers a good sample of construct being measured
Achievement tests
Content validity
T-test
cohort effect
31. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
ordinal variables
Wechsler Intelligence Scale for Children (WISC-R)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
double-blind experiment
32. 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 -
Chi-square test
California Personality Inventory (CPI)
Validity (+types)
Q-sort/measure
33. 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
Illusory correlation
frequency polygon
Factorial analysis of variance
Linear regression
34. When subject behave differently just because they thing that they have received the treatment substance or condition
Two-way ANOVA
frequency polygon
placebo effect
Spearman r correlation coefficient
35. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Learn the shape of different distributions
independent variable
Continuous data
Statistical regression
36. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
median
T-test
Item analysis (reliability)
ordinal variables
37. Measures the extent to which items in a measure 'hang together' and test the same thing
cohort effect
Internal validity
External validity (+types)
Robert Zajonc
38. Measure of fascism or authoritarian personality
Intelligence
F-scale or F-ratio
Crystallized intelligence
variance and standard deviation
39. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
social desirability
Word Association Test
frequency polygon
standard error of mean
40. Bell curve; larger the sample - greater chance of having a normal distribution
median
variance (calculation)
Domain-referenced tests
normal distribution(+characteristic)
41. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Meta-analysis
variance (calculation)
Strong-Campbell Interest Inventory
mode
42. The age level of a person'S functioning according to the IQ test
Standard normal distributions
mental age
Selective attrition
Experimenter bias
43. Have order - equal intervals and a real zero ex: age
statistically significant
Construct validity
ratio variables
Graphs (types)
44. The effect that might result when a group is born and raised in a particular time period
research design
IQ Binet'S equation
Z-scores
cohort effect
45. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
cross-sectional design
Standard normal distributions
ANOVA/analysis of variance
range
46. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Validity (+types)
T-test
Type I and II errors
cohort-sequential design
47. Whether test items look like they measure the construct
Thematic Apperception Test (TAT)
between subject
Discrete data
Face validity
48. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
dependent variable
statistically significant
Reliability (+types)
49. 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
Goodenough Draw-A-Man Test
median
histogram
cohort-sequential design
50. Draw a person of each sex and tell a story about them
Variability
Draw-A-Person Test
Concurrent validity
Continuous data