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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. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Two-way ANOVA
mode
One-way ANOVA
T-score
2. When subjects act in ways they think experimenter wants or expects
Demand characteristic
standard error of mean
External validity (+types)
percentiles
3. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Walter Mischel
placebo
Alpha levels
statistically significant
4. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Thematic Apperception Test (TAT)
double-blind experiment
confounding variable
Strong-Campbell Interest Inventory
5. How the score are spread out overall
Construct validity
Thematic Apperception Test (TAT)
Variability
Spearman r correlation coefficient
6. Tests the same person at multiple time points and looks at changes within that person
cross-sectional design
Rorschach Inkblot Test
within subject
F-scale or F-ratio
7. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Graphs (types)
Selective attrition
Domain-referenced tests
Standard normal distributions
8. Have order - equal intervals and a real zero ex: age
ratio variables
Nonequivalent control group
Criterion-referenced tests
Alfred Binet
9. 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%
Donald Campbell and Donald Fiske
Acquiescence
Factorial analysis of variance
Percentages under normal distribution based on SDs (from mean to end)
10. Anything that is measured such as height or depression score on a depression scale
nominal variables
Continuous data
Central Tendency (types and distribution differences)
Strong-Campbell Interest Inventory
11. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
mode
standard error of mean
Vocational tests
12. 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
Discrete data
Curvilinear relationship
research design
cohort-sequential design
13. 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
Intelligence
Type I and II errors
histogram
Spearman r correlation coefficient
14. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
frequency polygon
Myers-Brigg Type Indicator (MBTI)
Analysis of covariance (ANCOVA)
Type I and II errors
15. Combines longitudinal and cross-sectional approach
cohort-sequential design
Internal-External Locus of Control Scale
Cross validation
Frequency distributions (+variables)
16. (Mental age/chronological age)/100 - Highest age = 16
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17. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Nonequivalent control group
Walter Mischel
cohort-sequential design
Lie detector tests
18. For children 6-16
ANOVA/analysis of variance
Wechsler Intelligence Scale for Children (WISC-R)
Concurrent validity
Achievement tests
19. Used most commonly on standardized test
Type I and II errors
standard deviation (calculation)
percentiles
Internal validity
20. Like a histogram except that the vertical bars do not touch - various columns are separated by space
bar graph
F-scale or F-ratio
Internal validity
Draw-A-Person Test
21. How stable measure is; test-retest - split-half
Pearson r correlation coefficient
Wechsler Intelligence Scale for Children (WISC-R)
Reliability (+types)
placebo effect
22. 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 -
Null hypothesis
Julian Rotter
Chi-square test
standard error of mean
23. 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
ANOVA/analysis of variance
social desirability
Rosenzweig Picture-Frustration (P-F) Study
ratio variables
24. Used when equivalent one cannot be isolated
Draw-A-Person Test
Cross validation
Nonequivalent control group
California Personality Inventory (CPI)
25. Developed concept of IQ and first intelligence test (Binet Scale)
Meta-analysis
percentiles
Alfred Binet
Beck Depression Inventory (BDI)
26. Created multitrait-multimethod technique to determine validity of tests
Split-half reliability
Donald Campbell and Donald Fiske
Draw-A-Person Test
Population & related
27. Calculates how off the mean might be in either direction
Central Tendency (types and distribution differences)
standard error of mean
Inferential statistics
Q-sort/measure
28. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Beck Depression Inventory (BDI)
random sampling
Central Tendency (types and distribution differences)
statistically significant
29. Knowing a fact
Crystallized intelligence
Rorschach Inkblot Test
normal distribution(+characteristic)
Wechsler Adult Intelligence Scale (WAIS)
30. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
normal distribution(+characteristic)
predictive value
Spearman r correlation coefficient
ordinal variables
31. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Internal-External Locus of Control Scale
Spearman r correlation coefficient
Myers-Brigg Type Indicator (MBTI)
Hawthorne effect
32. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
ordinal variables
Longitudinal design
Central Tendency (types and distribution differences)
Stanford-Binet Intelligence Scale
33. 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
Goodenough Draw-A-Man Test
Item analysis (reliability)
normal distribution(+characteristic)
Illusory correlation
34. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
interval variables
Myers-Brigg Type Indicator (MBTI)
cohort-sequential design
Standard normal distributions
35. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Correlational relationships
Experimental design
Pearson r correlation coefficient
Donald Campbell and Donald Fiske
36. The most frequently occurring value
Type I and II errors
Meta-analysis
mode
Nonequivalent control group
37. The degree to which the result from an experiment can be applied to the population and the real world
Walter Mischel
standard error of mean
generalizability
Experimental design
38. 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
Item analysis (reliability)
independent variable
Rosenzweig Picture-Frustration (P-F) Study
39. Whether content covers a good sample of construct being measured
Learn the shape of different distributions
Alfred Binet
Standard normal distributions
Content validity
40. When subject behave differently just because they thing that they have received the treatment substance or condition
placebo effect
cohort effect
Achievement tests
Two-way ANOVA
41. 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
Longitudinal design
Thematic Apperception Test (TAT)
Mean IQ
42. 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
Demand characteristic
Discrete data
statistics
43. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
ordinal variables
quasi-experimental design
Rosenzweig Picture-Frustration (P-F) Study
John Horn and Raymond Cattell
44. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Hawthorne effect
Longitudinal design
Standard normal distributions
Continuous data
45. For even number of values in the set - take the average of the two middle value
ratio variables
median
Thematic Apperception Test (TAT)
Alfred Binet
46. Process in testing concurrent validity
Projective tests (+types)
Face validity
Cross validation
Charles Spearmen
47. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Minnesota Multiphasic Personality Inventory (MMPI)
Statistical regression
Central Tendency (types and distribution differences)
Cross validation
48. Experimenter bias; researchers see what they want to see; minimized in double-blind
Rosenthal effect
normal distribution(+characteristic)
Robert Zajonc
Graphs (types)
49. compares means of 2 different groups to see if the two groups are truly different - analyze differences between means on continuous data - particularly useful with small n - cannot test for difference between more than 2 groups
Graphs (types)
social desirability
Nonequivalent control group
T-test
50. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Vocational tests
Frequency distributions (+variables)
Walter Mischel
Internal-External Locus of Control Scale