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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. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
John Horn and Raymond Cattell
Draw-A-Person Test
Item analysis (reliability)
Population & related
2. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Intelligence
Alpha levels
Learn the shape of different distributions
Beck Depression Inventory (BDI)
3. 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)
Donald Campbell and Donald Fiske
Stanford-Binet Intelligence Scale
frequency polygon
4. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Bayley Scales of Infant Development
Empirical-keying or criterion-keying approach
Learn the shape of different distributions
Julian Rotter
5. How stable measure is; test-retest - split-half
placebo
Factorial analysis of variance
Internal validity
Reliability (+types)
6. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Standard normal distributions
cohort effect
IQ Binet'S equation
Factorial analysis of variance
7. Whether test really taps abstract concept being measured
Learn the shape of different distributions
Test-retest reliability
histogram
Construct validity
8. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Stanford-Binet Intelligence Scale
Frequency distributions (+variables)
statistics
Minnesota Multiphasic Personality Inventory (MMPI)
9. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Experimenter bias
Draw-A-Person Test
Julian Rotter
Z-scores
10. For even number of values in the set - take the average of the two middle value
Scientific approach
Standard normal distributions
median
variance (calculation)
11. Calculates how off the mean might be in either direction
standard error of mean
Validity (+types)
Draw-A-Person Test
Anne Anastasi
12. The most frequently occurring value
random sampling
One-way ANOVA
frequency polygon
mode
13. 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)
Linear regression
Population & related
Longitudinal design
14. Does not control - but examines how independent variable affects it
Lie detector tests
Wechsler Intelligence Scale for Children (WISC-R)
Donald Campbell and Donald Fiske
dependent variable
15. Tests the same person at multiple time points and looks at changes within that person
within subject
External validity (+types)
standard deviation (calculation)
Mean IQ
16. Internal-External Locus of Control Scale
Alpha levels
Learn the shape of different distributions
Julian Rotter
Nonequivalent control group
17. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
Graphs (types)
random sampling
Lie detector tests
18. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Variability
standard error of mean
Charles Spearmen
nominal variables
19. 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
Minnesota Multiphasic Personality Inventory (MMPI)
independent variable
Two-way ANOVA
social desirability
20. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
standard deviation (calculation)
statistics
Criterion-referenced tests
Strong-Campbell Interest Inventory
21. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Experimental design
Selective attrition
Central Tendency (types and distribution differences)
statistically significant
22. 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
Pearson r correlation coefficient
Spearman r correlation coefficient
dependent variable
Thematic Apperception Test (TAT)
23. The process of representing or analyzing numerical data
statistics
Pearson r correlation coefficient
nominal variables
Item analysis (reliability)
24. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
statistically significant
Vocational tests
Demand characteristic
Field study
25. 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
Empirical-keying or criterion-keying approach
Null hypothesis
Domain-referenced tests
Q-sort/measure
26. Measure innate ability to learn (debatable) - to predict later performance
Intelligence
Demand characteristic
standard deviation (calculation)
Aptitude tests
27. 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
frequency polygon
social desirability
Reactance
Robert Zajonc
28. When subjects act in ways they think experimenter wants or expects
Charles Spearmen
Fluid intelligence
ordinal variables
Demand characteristic
29. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Analysis of covariance (ANCOVA)
Objective tests (+types)
External validity (+types)
independent variable
30. Developed concept of IQ and first intelligence test (Binet Scale)
Pearson r correlation coefficient
Alfred Binet
predictive value
histogram
31. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Walter Mischel
standard deviation (calculation)
Graphs (types)
placebo
32. 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
Rosenthal effect
Test-retest reliability
median
33. Assess extent interests and strengths match those found by professionals in a particular job field
Field study
Vocational tests
random sampling
Illusory correlation
34. 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
Curvilinear relationship
California Personality Inventory (CPI)
Longitudinal design
statistically significant
35. 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)
Two-way ANOVA
Criterion-referenced tests
Reactance
36. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
One-way ANOVA
standard deviation (calculation)
Face validity
predictive value
37. Knowing a fact
Linear regression
Population & related
Crystallized intelligence
Null hypothesis
38. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Robert Zajonc
External validity (+types)
Statistical regression
Experimental design
39. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
histogram
Domain-referenced tests
Hawthorne effect
California Personality Inventory (CPI)
40. Interest in the effect of independent variable on the dependent variable - often manipulated by applying it in experimental or treatment condition and withholding it from control condition
Analysis of covariance (ANCOVA)
Stanford-Binet Intelligence Scale
independent variable
Acquiescence
41. 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%
Intelligence
Alpha levels
quasi-experimental design
Meta-analysis
42. 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
research design
mental age
Goodenough Draw-A-Man Test
Descriptive statistics (+types)
43. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Internal-External Locus of Control Scale
predictive value
Type I and II errors
John Horn and Raymond Cattell
44. Different subjects of different ages are compared - faster - easier
variance and standard deviation
cross-sectional design
mental age
Pearson r correlation coefficient
45. Measured by the same individual taking the same test more than once
between subject
Alfred Binet
research design
Test-retest reliability
46. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Donald Campbell and Donald Fiske
bar graph
standard error of mean
47. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
mental age
Empirical-keying or criterion-keying approach
histogram
Longitudinal design
48. Subjects alter behaviour because they are being observed
Internal validity
Type I and II errors
nominal variables
Hawthorne effect
49. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
ratio variables
Inferential statistics
Rorschach Inkblot Test
Projective tests (+types)
50. The effect that might result when a group is born and raised in a particular time period
Rosenthal effect
Learn the shape of different distributions
variance and standard deviation
cohort effect