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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
Start Test
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. (Mental age/chronological age)/100 - Highest age = 16
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2. Attitude change in response to feeling that options are limited; e.g. dislike experiment and intentionally behaving unnaturally - or being set on a certain flavour of ice cream as soon as told it is sold out
Reactance
Experimenter bias
Demand characteristic
Variability
3. When subjects act in ways they think experimenter wants or expects
variance and standard deviation
Linear regression
Demand characteristic
Cross validation
4. Mean of Americans is standardized to 100 - with SD 15 or 16 depending on test; correlates most with IQ of biological parents and socioeconomic status
Mean IQ
Alfred Binet
Statistical regression
Scientific approach
5. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
Myers-Brigg Type Indicator (MBTI)
Test-retest reliability
statistically significant
6. Anything that is measured such as height or depression score on a depression scale
cross-sectional design
Achievement tests
Continuous data
variance and standard deviation
7. Measure mastery in a particular area (e.g. final exam)
Criterion-referenced tests
Rosenthal effect
Longitudinal design
confounding variable
8. Calculates how off the mean might be in either direction
Alfred Binet
standard error of mean
Hawthorne effect
Thematic Apperception Test (TAT)
9. Similar to T-test - but can measure more than 2 groups
ANOVA/analysis of variance
Learn the shape of different distributions
Anne Anastasi
mode
10. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
F-scale or F-ratio
Spearman r correlation coefficient
Factorial analysis of variance
One-way ANOVA
11. The degree to which an independent variable can predict a dependent variable
predictive value
placebo
Lie detector tests
Hawthorne effect
12. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
independent variable
External validity (+types)
Acquiescence
mode
13. The most frequently occurring value
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
histogram
Experimental design
mode
14. Measured by the same individual taking the same test more than once
Test-retest reliability
Concurrent validity
Z-scores
cross-sectional design
15. Tests the effects of two independent variables or treatment conditions at once
Alpha levels
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
double-blind experiment
Two-way ANOVA
16. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Nonequivalent control group
double-blind experiment
histogram
Graphs (types)
17. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Concurrent validity
Experimenter bias
Walter Mischel
Central Tendency (types and distribution differences)
18. Knowing how to do something
California Personality Inventory (CPI)
Fluid intelligence
ordinal variables
ANOVA/analysis of variance
19. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
standard deviation (calculation)
Analysis of covariance (ANCOVA)
Item analysis (reliability)
mental age
20. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Analysis of covariance (ANCOVA)
ratio variables
Acquiescence
Hawthorne effect
21. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Anne Anastasi
Thematic Apperception Test (TAT)
Word Association Test
Linear regression
22. Originally used with free association techniques; word called out - subject says next word in mind
Split-half reliability
Word Association Test
Aptitude tests
Projective tests (+types)
23. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Goodenough Draw-A-Man Test
stratified sampling
Longitudinal design
Word Association Test
24. Subjects alter behaviour because they are being observed
Criterion-referenced tests
Hawthorne effect
Myers-Brigg Type Indicator (MBTI)
Split-half reliability
25. Experimenter bias; researchers see what they want to see; minimized in double-blind
Frequency distributions (+variables)
cohort effect
Rosenthal effect
Type I and II errors
26. Every member of the population has an equal chance of being chosen for the sample
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Z-scores
Learn the shape of different distributions
random sampling
27. Fluid intelligence declines with old age while crystallized intelligence does not
placebo effect
John Horn and Raymond Cattell
placebo
double-blind experiment
28. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
percentiles
ANOVA/analysis of variance
Longitudinal design
Z-scores
29. Have order - equal intervals and a real zero ex: age
bar graph
Face validity
quasi-experimental design
ratio variables
30. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Anne Anastasi
Variability
Robert Zajonc
Reactance
31. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Longitudinal design
random sampling
Frequency distributions (+variables)
Discrete data
32. 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
Illusory correlation
Wechsler Intelligence Scale for Children (WISC-R)
social desirability
cohort-sequential design
33. For even number of values in the set - take the average of the two middle value
Inferential statistics
T-score
Rosenzweig Picture-Frustration (P-F) Study
median
34. Created multitrait-multimethod technique to determine validity of tests
T-test
Donald Campbell and Donald Fiske
Fluid intelligence
Wechsler Adult Intelligence Scale (WAIS)
35. 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
Statistical regression
Meta-analysis
variance (calculation)
Population & related
36. Used when equivalent one cannot be isolated
Nonequivalent control group
Graphs (types)
Frequency distributions (+variables)
independent variable
37. Bell curve; larger the sample - greater chance of having a normal distribution
Intelligence
normal distribution(+characteristic)
standard deviation (calculation)
Null hypothesis
38. Combines longitudinal and cross-sectional approach
ratio variables
Objective tests (+types)
cohort-sequential design
Cross validation
39. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimenter bias
Walter Mischel
Continuous data
Lie detector tests
40. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Projective tests (+types)
Rotter Incomplete Sentence Blank
cross-sectional design
Rorschach Inkblot Test
41. Process in testing concurrent validity
percentiles
Type I and II errors
Cross validation
Intelligence
42. 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
ANOVA/analysis of variance
Discrete data
Descriptive statistics (+types)
Factorial analysis of variance
43. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Content validity
Projective tests (+types)
Concurrent validity
Population & related
44. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Rotter Incomplete Sentence Blank
Statistical regression
Validity (+types)
Curvilinear relationship
45. Internal-External Locus of Control Scale
nominal variables
Julian Rotter
Acquiescence
generalizability
46. Developed concept of IQ and first intelligence test (Binet Scale)
ordinal variables
Percentages under normal distribution based on SDs (from mean to end)
Alfred Binet
Type I and II errors
47. The effect that might result when a group is born and raised in a particular time period
cohort effect
mode
Population & related
interval variables
48. 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
Crystallized intelligence
Nonequivalent control group
Objective tests (+types)
Discrete data
49. How stable measure is; test-retest - split-half
Frequency distributions (+variables)
Reliability (+types)
Wechsler Intelligence Scale for Children (WISC-R)
double-blind experiment
50. Whether test items look like they measure the construct
Strong-Campbell Interest Inventory
Face validity
Internal-External Locus of Control Scale
Empirical-keying or criterion-keying approach