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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. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Alfred Binet
Domain-referenced tests
Learn the shape of different distributions
Charles Spearmen
2. 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
Mean IQ
normal distribution(+characteristic)
histogram
3. 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
Face validity
Empirical-keying or criterion-keying approach
standard deviation (calculation)
4. 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
placebo
Domain-referenced tests
standard deviation (calculation)
Empirical-keying or criterion-keying approach
5. When subjects act in ways they think experimenter wants or expects
Z-scores
Demand characteristic
Stanford-Binet Intelligence Scale
Charles Spearmen
6. Draw a person of each sex and tell a story about them
Goodenough Draw-A-Man Test
Population & related
Domain-referenced tests
Draw-A-Person Test
7. Measures the extent to which items in a measure 'hang together' and test the same thing
Internal validity
Meta-analysis
range
Content validity
8. Used most commonly on standardized test
placebo effect
statistics
Walter Mischel
percentiles
9. 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
Scientific approach
cohort effect
Validity (+types)
10. Mean (standard error of mean) - median mode; normal and platykuric: equal; positively skewed: mode - med - mean; negatively skewed: mean - med - mode; bimodal: equal mean and med - 2 modes
Domain-referenced tests
statistically significant
Central Tendency (types and distribution differences)
Fluid intelligence
11. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
frequency polygon
Stanford-Binet Intelligence Scale
Achievement tests
Face validity
12. How the score are spread out overall
Variability
Anne Anastasi
predictive value
Item analysis (reliability)
13. Originally used with free association techniques; word called out - subject says next word in mind
Inferential statistics
Word Association Test
Lie detector tests
generalizability
14. Bell curve; larger the sample - greater chance of having a normal distribution
Bayley Scales of Infant Development
Robert Zajonc
California Personality Inventory (CPI)
normal distribution(+characteristic)
15. Whether test really taps abstract concept being measured
Concurrent validity
Construct validity
standard error of mean
Strong-Campbell Interest Inventory
16. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Acquiescence
mode
Field study
Lie detector tests
17. 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
histogram
ordinal variables
Chi-square test
Nonequivalent control group
18. Fluid intelligence declines with old age while crystallized intelligence does not
Learn the shape of different distributions
variance (calculation)
John Horn and Raymond Cattell
mental age
19. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
statistically significant
Analysis of covariance (ANCOVA)
Graphs (types)
percentiles
20. Rosenthal effect; researchers see what they want to see; minimized in double-blind
variance (calculation)
Discrete data
Objective tests (+types)
Experimenter bias
21. Anything that is measured such as height or depression score on a depression scale
Vocational tests
Descriptive statistics (+types)
Continuous data
normal distribution(+characteristic)
22. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Standard normal distributions
Two-way ANOVA
Analysis of covariance (ANCOVA)
Split-half reliability
23. When subject behave differently just because they thing that they have received the treatment substance or condition
placebo effect
Type I and II errors
Frequency distributions (+variables)
Variability
24. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Construct validity
Content validity
Cross validation
Rorschach Inkblot Test
25. Measure of fascism or authoritarian personality
Reliability (+types)
F-scale or F-ratio
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Type I and II errors
26. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
double-blind experiment
Central Tendency (types and distribution differences)
Frequency distributions (+variables)
Fluid intelligence
27. Measured by the same individual taking the same test more than once
standard error of mean
Null hypothesis
Test-retest reliability
percentiles
28. Does not control - but examines how independent variable affects it
dependent variable
Variability
Wechsler Adult Intelligence Scale (WAIS)
Experimenter bias
29. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Curvilinear relationship
Objective tests (+types)
Item analysis (reliability)
Beck Depression Inventory (BDI)
30. The most frequently occurring value
random sampling
mode
Continuous data
Strong-Campbell Interest Inventory
31. 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
Thematic Apperception Test (TAT)
Statistical regression
T-score
Two-way ANOVA
32. How much variation there is among n number of scores in a distribution
Learn the shape of different distributions
Two-way ANOVA
variance and standard deviation
mode
33. Assess extent interests and strengths match those found by professionals in a particular job field
Rosenzweig Picture-Frustration (P-F) Study
Vocational tests
Acquiescence
Charles Spearmen
34. For ranks; determining the line that describes a linear relationship
Spearman r correlation coefficient
Draw-A-Person Test
Mean IQ
Linear regression
35. 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
Alfred Binet
statistically significant
Hawthorne effect
Q-sort/measure
36. Internal-External Locus of Control Scale
Julian Rotter
statistics
Field study
Split-half reliability
37. Knowing a fact
Crystallized intelligence
Vocational tests
frequency polygon
Nonequivalent control group
38. When people agree with opposing statements; giving tacit agreement
mental age
Acquiescence
Central Tendency (types and distribution differences)
Walter Mischel
39. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Frequency distributions (+variables)
Strong-Campbell Interest Inventory
standard deviation (calculation)
Projective tests (+types)
40. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Lie detector tests
ordinal variables
Factorial analysis of variance
Q-sort/measure
41. How stable measure is; test-retest - split-half
Reliability (+types)
standard deviation (calculation)
Walter Mischel
Two-way ANOVA
42. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Population & related
placebo
Scientific approach
statistics
43. 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
Inferential statistics
Reactance
between subject
44. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
John Horn and Raymond Cattell
Curvilinear relationship
Strong-Campbell Interest Inventory
mode
45. 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
Factorial analysis of variance
California Personality Inventory (CPI)
frequency polygon
One-way ANOVA
46. 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
Inferential statistics
California Personality Inventory (CPI)
Curvilinear relationship
Variability
47. Subjects alter behaviour because they are being observed
interval variables
Charles Spearmen
Intelligence
Hawthorne effect
48. Similar to T-test - but can measure more than 2 groups
Graphs (types)
Nonequivalent control group
mode
ANOVA/analysis of variance
49. Have order - equal intervals and a real zero ex: age
ratio variables
External validity (+types)
Robert Zajonc
Internal validity
50. Different subjects of different ages are compared - faster - easier
Fluid intelligence
Type I and II errors
cross-sectional design
percentiles