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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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Subjects
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gre
,
psychology
Instructions:
Answer 50 questions in 15 minutes.
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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. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type
Objective tests (+types)
Nonequivalent control group
double-blind experiment
Type I and II errors
2. Different subjects of different ages are compared - faster - easier
Lewis Terman
Analysis of covariance (ANCOVA)
Achievement tests
cross-sectional design
3. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Goodenough Draw-A-Man Test
Rotter Incomplete Sentence Blank
Statistical regression
Z-scores
4. Organize data by showing it in a meaningful way; do not allow conclusions to be drawn beyond the sample; percentiles - frequency distributions - graphs - measures of central tendency - variability
Descriptive statistics (+types)
F-scale or F-ratio
Anne Anastasi
Meta-analysis
5. Measure how well you know a subject - measure past learning
Achievement tests
Objective tests (+types)
confounding variable
Continuous data
6. Compares 2 groups of people at the same time point
frequency polygon
Alfred Binet
between subject
Two-way ANOVA
7. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
normal distribution(+characteristic)
standard deviation (calculation)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
generalizability
8. Process in testing concurrent validity
Cross validation
median
Chi-square test
Meta-analysis
9. The age level of a person'S functioning according to the IQ test
independent variable
mental age
Continuous data
statistics
10. Developed concept of IQ and first intelligence test (Binet Scale)
Content validity
Alfred Binet
Field study
Chi-square test
11. 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
Experimenter bias
quasi-experimental design
Goodenough Draw-A-Man Test
California Personality Inventory (CPI)
12. Originally used with free association techniques; word called out - subject says next word in mind
percentiles
John Horn and Raymond Cattell
Cross validation
Word Association Test
13. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Rorschach Inkblot Test
random sampling
One-way ANOVA
mental age
14. Does not control - but examines how independent variable affects it
Standard normal distributions
Statistical regression
Stanford-Binet Intelligence Scale
dependent variable
15. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Draw-A-Person Test
Walter Mischel
Q-sort/measure
Curvilinear relationship
16. Measured by the same individual taking the same test more than once
Test-retest reliability
Frequency distributions (+variables)
standard deviation (calculation)
generalizability
17. 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
Fluid intelligence
Charles Spearmen
Goodenough Draw-A-Man Test
John Horn and Raymond Cattell
18. Attempts to eliminate/minimize these - variables in the environment that might also effect the dependent variable and blue the effect of independent variable on the dependent variable
Scientific approach
Lewis Terman
confounding variable
ANOVA/analysis of variance
19. Draw a person of each sex and tell a story about them
Concurrent validity
Draw-A-Person Test
Q-sort/measure
Hawthorne effect
20. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Intelligence
Robert Zajonc
Goodenough Draw-A-Man Test
Strong-Campbell Interest Inventory
21. The hypothesis that no real differences or pattern exist
Draw-A-Person Test
Cross validation
Null hypothesis
Vocational tests
22. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Discrete data
normal distribution(+characteristic)
Pearson r correlation coefficient
Walter Mischel
23. The process of representing or analyzing numerical data
variance (calculation)
Donald Campbell and Donald Fiske
statistics
Goodenough Draw-A-Man Test
24. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
T-score
IQ Binet'S equation
placebo
Rosenzweig Picture-Frustration (P-F) Study
25. Fluid intelligence declines with old age while crystallized intelligence does not
Cross validation
Anne Anastasi
Stanford-Binet Intelligence Scale
John Horn and Raymond Cattell
26. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Field study
cohort effect
Longitudinal design
placebo effect
27. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Chi-square test
Rorschach Inkblot Test
range
Alfred Binet
28. Have order - equal intervals and a real zero ex: age
Hawthorne effect
Chi-square test
random sampling
ratio variables
29. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
percentiles
Rosenthal effect
Anne Anastasi
Pearson r correlation coefficient
30. Combines longitudinal and cross-sectional approach
Rosenthal effect
One-way ANOVA
range
cohort-sequential design
31. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
social desirability
Rorschach Inkblot Test
Aptitude tests
Experimental design
32. When people agree with opposing statements; giving tacit agreement
research design
percentiles
variance (calculation)
Acquiescence
33. 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
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Fluid intelligence
Illusory correlation
Thematic Apperception Test (TAT)
34. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
predictive value
double-blind experiment
Goodenough Draw-A-Man Test
Content validity
35. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Vocational tests
bar graph
Robert Zajonc
Objective tests (+types)
36. The degree to which an independent variable can predict a dependent variable
Stanford-Binet Intelligence Scale
Curvilinear relationship
frequency polygon
predictive value
37. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Validity (+types)
Experimenter bias
social desirability
IQ Binet'S equation
38. 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
Meta-analysis
Illusory correlation
Projective tests (+types)
ANOVA/analysis of variance
39. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Null hypothesis
Hawthorne effect
Criterion-referenced tests
Scientific approach
40. Anything that is measured such as height or depression score on a depression scale
Domain-referenced tests
Continuous data
Thematic Apperception Test (TAT)
statistically significant
41. 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
variance and standard deviation
Discrete data
Type I and II errors
percentiles
42. Tests the same person at multiple time points and looks at changes within that person
placebo effect
Lie detector tests
within subject
between subject
43. 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
placebo
Illusory correlation
Projective tests (+types)
Robert Zajonc
44. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
Mean IQ
One-way ANOVA
T-test
45. Measure innate ability to learn (debatable) - to predict later performance
Donald Campbell and Donald Fiske
Item analysis (reliability)
statistics
Aptitude tests
46. Bell curve; larger the sample - greater chance of having a normal distribution
Alfred Binet
normal distribution(+characteristic)
ordinal variables
Type I and II errors
47. Internal-External Locus of Control Scale
histogram
Reactance
Julian Rotter
Crystallized intelligence
48. 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
mode
Myers-Brigg Type Indicator (MBTI)
Mean IQ
Pearson r correlation coefficient
49. Whether test items look like they measure the construct
Curvilinear relationship
Face validity
Population & related
variance (calculation)
50. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
External validity (+types)
Percentages under normal distribution based on SDs (from mean to end)
Word Association Test
Frequency distributions (+variables)
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