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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
Start Test
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. Whether test really taps abstract concept being measured
Percentages under normal distribution based on SDs (from mean to end)
Anne Anastasi
histogram
Construct validity
2. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Empirical-keying or criterion-keying approach
Rorschach Inkblot Test
frequency polygon
Continuous data
3. How much variation there is among n number of scores in a distribution
Hawthorne effect
Lewis Terman
Rotter Incomplete Sentence Blank
variance and standard deviation
4. Calculates how off the mean might be in either direction
standard error of mean
Empirical-keying or criterion-keying approach
variance and standard deviation
Frequency distributions (+variables)
5. The hypothesis that no real differences or pattern exist
Crystallized intelligence
Null hypothesis
Achievement tests
statistics
6. Does not control - but examines how independent variable affects it
Chi-square test
Test-retest reliability
Selective attrition
dependent variable
7. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Validity (+types)
Frequency distributions (+variables)
range
Lewis Terman
8. 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
Curvilinear relationship
Inferential statistics
statistically significant
9. 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
Chi-square test
Myers-Brigg Type Indicator (MBTI)
Two-way ANOVA
Vocational tests
10. Measure of fascism or authoritarian personality
Rorschach Inkblot Test
F-scale or F-ratio
T-test
Rotter Incomplete Sentence Blank
11. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
IQ Binet'S equation
ANOVA/analysis of variance
Learn the shape of different distributions
research design
12. The process of representing or analyzing numerical data
placebo
statistics
Discrete data
Variability
13. Measure innate ability to learn (debatable) - to predict later performance
Statistical regression
Aptitude tests
Descriptive statistics (+types)
percentiles
14. Like a histogram except that the vertical bars do not touch - various columns are separated by space
bar graph
Type I and II errors
nominal variables
Lewis Terman
15. Combines longitudinal and cross-sectional approach
Robert Zajonc
within subject
cohort-sequential design
Achievement tests
16. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimenter bias
histogram
statistics
bar graph
17. Draw a person of each sex and tell a story about them
Intelligence
Rorschach Inkblot Test
bar graph
Draw-A-Person Test
18. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Descriptive statistics (+types)
generalizability
Walter Mischel
F-scale or F-ratio
19. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Donald Campbell and Donald Fiske
standard deviation (calculation)
range
statistically significant
20. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Lewis Terman
social desirability
Rorschach Inkblot Test
Population & related
21. Subjects alter behaviour because they are being observed
Achievement tests
Hawthorne effect
Domain-referenced tests
Wechsler Adult Intelligence Scale (WAIS)
22. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Reactance
Goodenough Draw-A-Man Test
Beck Depression Inventory (BDI)
Rosenthal effect
23. Used most commonly on standardized test
percentiles
F-scale or F-ratio
Lewis Terman
Strong-Campbell Interest Inventory
24. The degree to which an independent variable can predict a dependent variable
predictive value
John Horn and Raymond Cattell
median
Analysis of covariance (ANCOVA)
25. For even number of values in the set - take the average of the two middle value
F-scale or F-ratio
median
Draw-A-Person Test
Reactance
26. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
Alfred Binet
Experimental design
ratio variables
27. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
ordinal variables
Two-way ANOVA
Z-scores
Graphs (types)
28. Measures the extent to which items in a measure 'hang together' and test the same thing
Robert Zajonc
Experimenter bias
between subject
Internal validity
29. 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
statistically significant
histogram
Projective tests (+types)
Central Tendency (types and distribution differences)
30. Measure how well you know a subject - measure past learning
Achievement tests
Experimenter bias
Objective tests (+types)
Statistical regression
31. 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
ANOVA/analysis of variance
Intelligence
Z-scores
32. Internal-External Locus of Control Scale
statistics
Reactance
Julian Rotter
Chi-square test
33. 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
histogram
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Mean IQ
Beck Depression Inventory (BDI)
34. Aims to match demographic characteristics to population (i.e. 50% female - etc)
External validity (+types)
bar graph
stratified sampling
Rotter Incomplete Sentence Blank
35. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
research design
One-way ANOVA
Experimental design
percentiles
36. Have order - equal intervals and a real zero ex: age
quasi-experimental design
ratio variables
Central Tendency (types and distribution differences)
within subject
37. Process in testing concurrent validity
Cross validation
Acquiescence
variance (calculation)
Split-half reliability
38. 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
social desirability
confounding variable
placebo
Correlational relationships
39. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Goodenough Draw-A-Man Test
confounding variable
Internal validity
Pearson r correlation coefficient
40. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Word Association Test
Inferential statistics
Alfred Binet
Cross validation
41. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Field study
Analysis of covariance (ANCOVA)
quasi-experimental design
One-way ANOVA
42. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Correlational relationships
Population & related
Frequency distributions (+variables)
Domain-referenced tests
43. 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
percentiles
Nonequivalent control group
T-test
Hawthorne effect
44. Whether content covers a good sample of construct being measured
Myers-Brigg Type Indicator (MBTI)
Standard normal distributions
Face validity
Content validity
45. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
John Horn and Raymond Cattell
Population & related
Reactance
placebo
46. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Test-retest reliability
Correlational relationships
Lie detector tests
cross-sectional design
47. There is a general factor in intelligence 'g'
Charles Spearmen
Type I and II errors
Alpha levels
ordinal variables
48. Originally used with free association techniques; word called out - subject says next word in mind
ordinal variables
Word Association Test
variance and standard deviation
California Personality Inventory (CPI)
49. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Mean IQ
Concurrent validity
statistically significant
One-way ANOVA
50. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Charles Spearmen
median
Item analysis (reliability)
Standard normal distributions