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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. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Alpha levels
cohort-sequential design
standard deviation (calculation)
Selective attrition
2. For even number of values in the set - take the average of the two middle value
Experimental design
median
stratified sampling
Inferential statistics
3. Originally used with free association techniques; word called out - subject says next word in mind
percentiles
Word Association Test
Fluid intelligence
Standard normal distributions
4. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
random sampling
ordinal variables
Factorial analysis of variance
Pearson r correlation coefficient
5. The degree to which an independent variable can predict a dependent variable
Correlational relationships
social desirability
normal distribution(+characteristic)
predictive value
6. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
nominal variables
Z-scores
Learn the shape of different distributions
Variability
7. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Lewis Terman
Beck Depression Inventory (BDI)
Validity (+types)
Objective tests (+types)
8. 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
Robert Zajonc
Scientific approach
independent variable
Domain-referenced tests
9. There is a general factor in intelligence 'g'
Charles Spearmen
within subject
Scientific approach
random sampling
10. Tests the same person at multiple time points and looks at changes within that person
Donald Campbell and Donald Fiske
within subject
percentiles
Nonequivalent control group
11. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Anne Anastasi
Test-retest reliability
double-blind experiment
Q-sort/measure
12. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Type I and II errors
nominal variables
placebo effect
13. Whether content covers a good sample of construct being measured
independent variable
Concurrent validity
Rotter Incomplete Sentence Blank
Content validity
14. The hypothesis that no real differences or pattern exist
Strong-Campbell Interest Inventory
Minnesota Multiphasic Personality Inventory (MMPI)
variance (calculation)
Null hypothesis
15. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Pearson r correlation coefficient
F-scale or F-ratio
stratified sampling
Minnesota Multiphasic Personality Inventory (MMPI)
16. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Concurrent validity
Domain-referenced tests
Validity (+types)
Population & related
17. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
John Horn and Raymond Cattell
between subject
Stanford-Binet Intelligence Scale
ratio variables
18. compares means of 2 different groups to see if the two groups are truly different - analyze differences between means on continuous data - particularly useful with small n - cannot test for difference between more than 2 groups
Demand characteristic
interval variables
T-test
cohort-sequential design
19. Combines longitudinal and cross-sectional approach
Internal validity
cohort-sequential design
Domain-referenced tests
Experimental design
20. How stable measure is; test-retest - split-half
Domain-referenced tests
Vocational tests
mental age
Reliability (+types)
21. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
Hawthorne effect
Empirical-keying or criterion-keying approach
T-test
22. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Spearman r correlation coefficient
T-test
Acquiescence
Concurrent validity
23. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
Correlational relationships
Central Tendency (types and distribution differences)
between subject
24. Knowing how to do something
One-way ANOVA
double-blind experiment
Illusory correlation
Fluid intelligence
25. How the score are spread out overall
Variability
Word Association Test
Construct validity
Inferential statistics
26. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Demand characteristic
dependent variable
Domain-referenced tests
Standard normal distributions
27. The process of representing or analyzing numerical data
Strong-Campbell Interest Inventory
Fluid intelligence
generalizability
statistics
28. Experimenter bias; researchers see what they want to see; minimized in double-blind
frequency polygon
Rosenthal effect
within subject
Vocational tests
29. Internal-External Locus of Control Scale
Julian Rotter
cohort-sequential design
Internal-External Locus of Control Scale
median
30. 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
Statistical regression
Face validity
Fluid intelligence
31. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Frequency distributions (+variables)
Type I and II errors
predictive value
Rotter Incomplete Sentence Blank
32. 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
Discrete data
Charles Spearmen
Hawthorne effect
Central Tendency (types and distribution differences)
33. 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)
Crystallized intelligence
independent variable
Curvilinear relationship
34. 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
Variability
placebo effect
confounding variable
Longitudinal design
35. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Lie detector tests
Frequency distributions (+variables)
range
Linear regression
36. The degree to which the result from an experiment can be applied to the population and the real world
Empirical-keying or criterion-keying approach
Internal validity
variance and standard deviation
generalizability
37. When subjects that drop out are different than those that remain; no longer random
Frequency distributions (+variables)
Selective attrition
Projective tests (+types)
Lewis Terman
38. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Item analysis (reliability)
Correlational relationships
Central Tendency (types and distribution differences)
placebo
39. Not IQ - It is unlikely IQ captures all facets of it
Intelligence
T-score
generalizability
Selective attrition
40. Does not control - but examines how independent variable affects it
dependent variable
Aptitude tests
Reactance
Validity (+types)
41. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
research design
Bayley Scales of Infant Development
Standard normal distributions
Acquiescence
42. 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
Rosenthal effect
Linear regression
predictive value
Projective tests (+types)
43. When people agree with opposing statements; giving tacit agreement
One-way ANOVA
Acquiescence
Q-sort/measure
Face validity
44. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
variance and standard deviation
range
Bayley Scales of Infant Development
Validity (+types)
45. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Face validity
Alfred Binet
Lie detector tests
Analysis of covariance (ANCOVA)
46. Measure of fascism or authoritarian personality
generalizability
Wechsler Adult Intelligence Scale (WAIS)
F-scale or F-ratio
percentiles
47. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
IQ Binet'S equation
Fluid intelligence
Inferential statistics
Experimental design
48. 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
Learn the shape of different distributions
Goodenough Draw-A-Man Test
variance and standard deviation
Correlational relationships
49. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Strong-Campbell Interest Inventory
Mean IQ
T-test
Hawthorne effect
50. 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
Standard normal distributions
Internal-External Locus of Control Scale
Construct validity
Meta-analysis