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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. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Rosenzweig Picture-Frustration (P-F) Study
Chi-square test
Hawthorne effect
Domain-referenced tests
2. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
between subject
Reliability (+types)
Descriptive statistics (+types)
statistically significant
3. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
Content validity
independent variable
Cross validation
4. Measure of fascism or authoritarian personality
Projective tests (+types)
normal distribution(+characteristic)
F-scale or F-ratio
social desirability
5. 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
Empirical-keying or criterion-keying approach
Split-half reliability
T-test
Learn the shape of different distributions
6. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Content validity
Linear regression
Statistical regression
Pearson r correlation coefficient
7. Process in testing concurrent validity
placebo
Mean IQ
Percentages under normal distribution based on SDs (from mean to end)
Cross validation
8. 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
Bayley Scales of Infant Development
IQ Binet'S equation
Myers-Brigg Type Indicator (MBTI)
Objective tests (+types)
9. The effect that might result when a group is born and raised in a particular time period
cohort effect
Statistical regression
Continuous data
Type I and II errors
10. 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%
Achievement tests
normal distribution(+characteristic)
Alpha levels
between subject
11. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Domain-referenced tests
Selective attrition
Population & related
Field study
12. Used most commonly on standardized test
Central Tendency (types and distribution differences)
percentiles
between subject
Experimenter bias
13. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Rosenzweig Picture-Frustration (P-F) Study
Alpha levels
Lewis Terman
standard error of mean
14. How stable measure is; test-retest - split-half
Reliability (+types)
Rotter Incomplete Sentence Blank
research design
dependent variable
15. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Field study
Pearson r correlation coefficient
statistically significant
bar graph
16. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Thematic Apperception Test (TAT)
Two-way ANOVA
Z-scores
One-way ANOVA
17. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Population & related
stratified sampling
confounding variable
IQ Binet'S equation
18. Assess extent interests and strengths match those found by professionals in a particular job field
Domain-referenced tests
Vocational tests
Split-half reliability
Standard normal distributions
19. Tests the effects of two independent variables or treatment conditions at once
bar graph
Two-way ANOVA
Pearson r correlation coefficient
Julian Rotter
20. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Strong-Campbell Interest Inventory
Graphs (types)
Percentages under normal distribution based on SDs (from mean to end)
Intelligence
21. Whether test items look like they measure the construct
percentiles
Face validity
Selective attrition
Julian Rotter
22. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
range
Aptitude tests
Nonequivalent control group
research design
23. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Alpha levels
Concurrent validity
Bayley Scales of Infant Development
Population & related
24. Fluid intelligence declines with old age while crystallized intelligence does not
John Horn and Raymond Cattell
Graphs (types)
cohort effect
Field study
25. When people agree with opposing statements; giving tacit agreement
Discrete data
ANOVA/analysis of variance
Acquiescence
Thematic Apperception Test (TAT)
26. Anything that is measured such as height or depression score on a depression scale
Frequency distributions (+variables)
Continuous data
Objective tests (+types)
ANOVA/analysis of variance
27. 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
Rosenzweig Picture-Frustration (P-F) Study
Linear regression
Descriptive statistics (+types)
cohort-sequential design
28. For ranks; determining the line that describes a linear relationship
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
independent variable
Rosenthal effect
Spearman r correlation coefficient
29. How the score are spread out overall
Hawthorne effect
independent variable
Word Association Test
Variability
30. The hypothesis that no real differences or pattern exist
Vocational tests
Mean IQ
Null hypothesis
T-score
31. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
California Personality Inventory (CPI)
Demand characteristic
mode
predictive value
32. When subjects that drop out are different than those that remain; no longer random
Selective attrition
Curvilinear relationship
Experimental design
Vocational tests
33. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Rosenthal effect
T-score
Reliability (+types)
median
34. 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
between subject
Wechsler Adult Intelligence Scale (WAIS)
median
35. Measure innate ability to learn (debatable) - to predict later performance
Lie detector tests
Aptitude tests
histogram
Two-way ANOVA
36. When relationship inferred when there is none - ex: many people think there is a relationship between physical and personality characteristics - when evidence show there is none
Central Tendency (types and distribution differences)
histogram
Criterion-referenced tests
Illusory correlation
37. Have order - equal intervals and a real zero ex: age
ratio variables
Concurrent validity
Word Association Test
Z-scores
38. 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
Factorial analysis of variance
Construct validity
Julian Rotter
variance (calculation)
39. Draw a person of each sex and tell a story about them
Draw-A-Person Test
Minnesota Multiphasic Personality Inventory (MMPI)
Pearson r correlation coefficient
Selective attrition
40. Knowing a fact
Longitudinal design
Crystallized intelligence
research design
Alfred Binet
41. The most frequently occurring value
double-blind experiment
mode
Rosenzweig Picture-Frustration (P-F) Study
frequency polygon
42. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
independent variable
cross-sectional design
Discrete data
Wechsler Adult Intelligence Scale (WAIS)
43. Calculates how off the mean might be in either direction
Aptitude tests
standard error of mean
Thematic Apperception Test (TAT)
nominal variables
44. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Scientific approach
Intelligence
Selective attrition
Julian Rotter
45. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Achievement tests
Experimental design
Donald Campbell and Donald Fiske
quasi-experimental design
46. Developed concept of IQ and first intelligence test (Binet Scale)
Statistical regression
Content validity
Alfred Binet
Rotter Incomplete Sentence Blank
47. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
independent variable
Validity (+types)
Strong-Campbell Interest Inventory
Wechsler Adult Intelligence Scale (WAIS)
48. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Continuous data
Beck Depression Inventory (BDI)
Acquiescence
Scientific approach
49. Does not control - but examines how independent variable affects it
One-way ANOVA
social desirability
dependent variable
Experimental design
50. When subject behave differently just because they thing that they have received the treatment substance or condition
Field study
placebo effect
Stanford-Binet Intelligence Scale
Beck Depression Inventory (BDI)