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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. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
placebo
F-scale or F-ratio
Two-way ANOVA
Minnesota Multiphasic Personality Inventory (MMPI)
2. Measured by the same individual taking the same test more than once
double-blind experiment
Meta-analysis
Test-retest reliability
Draw-A-Person Test
3. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Q-sort/measure
Myers-Brigg Type Indicator (MBTI)
Statistical regression
Descriptive statistics (+types)
4. Measure innate ability to learn (debatable) - to predict later performance
Content validity
Chi-square test
Validity (+types)
Aptitude tests
5. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Reactance
Analysis of covariance (ANCOVA)
Mean IQ
double-blind experiment
6. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
placebo
Longitudinal design
Pearson r correlation coefficient
Two-way ANOVA
7. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Walter Mischel
nominal variables
Selective attrition
Rosenzweig Picture-Frustration (P-F) Study
8. 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
John Horn and Raymond Cattell
Curvilinear relationship
Julian Rotter
percentiles
9. Tests the effects of two independent variables or treatment conditions at once
independent variable
Two-way ANOVA
Wechsler Adult Intelligence Scale (WAIS)
percentiles
10. Rosenthal effect; researchers see what they want to see; minimized in double-blind
mental age
Longitudinal design
Experimenter bias
double-blind experiment
11. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Nonequivalent control group
frequency polygon
Cross validation
Lewis Terman
12. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Word Association Test
nominal variables
Scientific approach
Variability
13. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Chi-square test
Concurrent validity
Myers-Brigg Type Indicator (MBTI)
Internal-External Locus of Control Scale
14. For even number of values in the set - take the average of the two middle value
median
F-scale or F-ratio
Scientific approach
within subject
15. The effect that might result when a group is born and raised in a particular time period
cohort effect
Donald Campbell and Donald Fiske
Rosenthal effect
Type I and II errors
16. 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
Projective tests (+types)
Standard normal distributions
Aptitude tests
Construct validity
17. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Goodenough Draw-A-Man Test
John Horn and Raymond Cattell
T-score
frequency polygon
18. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Scientific approach
Donald Campbell and Donald Fiske
Statistical regression
One-way ANOVA
19. Tests the same person at multiple time points and looks at changes within that person
within subject
Pearson r correlation coefficient
Alpha levels
variance and standard deviation
20. 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
Two-way ANOVA
Correlational relationships
California Personality Inventory (CPI)
social desirability
21. Knowing a fact
External validity (+types)
Internal-External Locus of Control Scale
Crystallized intelligence
Lie detector tests
22. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
interval variables
Strong-Campbell Interest Inventory
California Personality Inventory (CPI)
Rotter Incomplete Sentence Blank
23. Knowing how to do something
Factorial analysis of variance
Lewis Terman
Beck Depression Inventory (BDI)
Fluid intelligence
24. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Rorschach Inkblot Test
Demand characteristic
Beck Depression Inventory (BDI)
double-blind experiment
25. Assess extent interests and strengths match those found by professionals in a particular job field
Criterion-referenced tests
placebo effect
Internal validity
Vocational tests
26. How the score are spread out overall
Frequency distributions (+variables)
Walter Mischel
Variability
Null hypothesis
27. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
variance (calculation)
Item analysis (reliability)
Strong-Campbell Interest Inventory
Minnesota Multiphasic Personality Inventory (MMPI)
28. Measure mastery in a particular area (e.g. final exam)
Correlational relationships
Criterion-referenced tests
Selective attrition
random sampling
29. Measure of fascism or authoritarian personality
T-test
Wechsler Intelligence Scale for Children (WISC-R)
Inferential statistics
F-scale or F-ratio
30. Similar to T-test - but can measure more than 2 groups
Charles Spearmen
ANOVA/analysis of variance
Split-half reliability
Experimental design
31. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
Linear regression
Statistical regression
Lewis Terman
32. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Mean IQ
cohort-sequential design
Anne Anastasi
Population & related
33. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Wechsler Intelligence Scale for Children (WISC-R)
Curvilinear relationship
Walter Mischel
Stanford-Binet Intelligence Scale
34. There is a general factor in intelligence 'g'
Charles Spearmen
cohort-sequential design
mode
Projective tests (+types)
35. Use correlation coefficients in order to predict one variable y from another variable x - let you define a line on graph that describes the relationship between x and y - when the least-square line or regression line is fit to the data - basically: u
range
Julian Rotter
Linear regression
Nonequivalent control group
36. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Stanford-Binet Intelligence Scale
interval variables
Analysis of covariance (ANCOVA)
Alpha levels
37. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Null hypothesis
Correlational relationships
double-blind experiment
Reliability (+types)
38. Draw a person of each sex and tell a story about them
Draw-A-Person Test
Wechsler Intelligence Scale for Children (WISC-R)
Analysis of covariance (ANCOVA)
Bayley Scales of Infant Development
39. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Nonequivalent control group
Wechsler Adult Intelligence Scale (WAIS)
percentiles
Lie detector tests
40. Whether test really taps abstract concept being measured
standard deviation (calculation)
Construct validity
IQ Binet'S equation
ANOVA/analysis of variance
41. Have order - equal intervals and a real zero ex: age
range
statistics
Crystallized intelligence
ratio variables
42. Experimenter bias; researchers see what they want to see; minimized in double-blind
Rosenthal effect
Thematic Apperception Test (TAT)
histogram
Scientific approach
43. The approach to construct assessment instruments - involves selection of items that can discriminate between various groups; responses determine if he is like a particular group or not; e.g. Strong-Campbell Interest Inventory
Empirical-keying or criterion-keying approach
F-scale or F-ratio
Construct validity
Chi-square test
44. Combines longitudinal and cross-sectional approach
statistics
Anne Anastasi
cohort-sequential design
Acquiescence
45. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
F-scale or F-ratio
frequency polygon
Robert Zajonc
Central Tendency (types and distribution differences)
46. Used most commonly on standardized test
percentiles
Learn the shape of different distributions
between subject
Central Tendency (types and distribution differences)
47. Measure how well you know a subject - measure past learning
Goodenough Draw-A-Man Test
Spearman r correlation coefficient
Cross validation
Achievement tests
48. 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
Rosenzweig Picture-Frustration (P-F) Study
cohort effect
Validity (+types)
histogram
49. Personality test from Jung'S theory; 93 questions 2 answers each; 4-letter personality type - each letter 1 of 2 possible opposing characteristics: Introverted vs. Extraverted - Sensing vs. Intuition - Feeling vs. Thinking - and - Judgment vs. Percep
Myers-Brigg Type Indicator (MBTI)
Factorial analysis of variance
research design
Hawthorne effect
50. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Intelligence
interval variables
Pearson r correlation coefficient
Type I and II errors