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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. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
ordinal variables
Anne Anastasi
Charles Spearmen
placebo
2. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
T-score
Strong-Campbell Interest Inventory
IQ Binet'S equation
ANOVA/analysis of variance
3. Similar to word association - finish incomplete sentences
Intelligence
dependent variable
Rotter Incomplete Sentence Blank
Continuous data
4. Measure innate ability to learn (debatable) - to predict later performance
stratified sampling
cohort effect
Aptitude tests
Inferential statistics
5. Measures the extent to which items in a measure 'hang together' and test the same thing
Internal validity
ordinal variables
California Personality Inventory (CPI)
External validity (+types)
6. 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
variance (calculation)
Meta-analysis
random sampling
Test-retest reliability
7. Measured by the same individual taking the same test more than once
F-scale or F-ratio
Test-retest reliability
statistically significant
random sampling
8. Process in testing concurrent validity
F-scale or F-ratio
Descriptive statistics (+types)
Cross validation
Projective tests (+types)
9. Similar to T-test - but can measure more than 2 groups
Internal validity
ANOVA/analysis of variance
Item analysis (reliability)
Experimental design
10. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
IQ Binet'S equation
Factorial analysis of variance
independent variable
Item analysis (reliability)
11. 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
Q-sort/measure
mode
Strong-Campbell Interest Inventory
Hawthorne effect
12. When subjects that drop out are different than those that remain; no longer random
independent variable
Selective attrition
Experimental design
Minnesota Multiphasic Personality Inventory (MMPI)
13. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Type I and II errors
Anne Anastasi
Achievement tests
statistics
14. 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
Continuous data
cross-sectional design
Central Tendency (types and distribution differences)
Reliability (+types)
15. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Draw-A-Person Test
Content validity
One-way ANOVA
Population & related
16. Used most commonly on standardized test
Split-half reliability
percentiles
Continuous data
random sampling
17. Originally to determine mental illness - now for personality; more clinical than CPI; 550 T/F/unsure questions (e.g. 'I would like to ride a horse'); discriminates between disorders; high validity because highly discriminatory items and 3 validity sc
Minnesota Multiphasic Personality Inventory (MMPI)
Projective tests (+types)
Item analysis (reliability)
range
18. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Population & related
Concurrent validity
Hawthorne effect
Frequency distributions (+variables)
19. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Construct validity
Goodenough Draw-A-Man Test
ordinal variables
confounding variable
20. Combines longitudinal and cross-sectional approach
statistically significant
Central Tendency (types and distribution differences)
cohort-sequential design
ordinal variables
21. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Illusory correlation
Bayley Scales of Infant Development
Goodenough Draw-A-Man Test
Field study
22. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
random sampling
Frequency distributions (+variables)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
23. 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
double-blind experiment
Descriptive statistics (+types)
mode
Cross validation
24. Compares 2 groups of people at the same time point
predictive value
Minnesota Multiphasic Personality Inventory (MMPI)
independent variable
between subject
25. For even number of values in the set - take the average of the two middle value
Pearson r correlation coefficient
Crystallized intelligence
Field study
median
26. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Lewis Terman
Z-scores
Variability
Fluid intelligence
27. Assess extent interests and strengths match those found by professionals in a particular job field
Percentages under normal distribution based on SDs (from mean to end)
Vocational tests
Spearman r correlation coefficient
Reliability (+types)
28. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Graphs (types)
Fluid intelligence
frequency polygon
Anne Anastasi
29. Tests the effects of two independent variables or treatment conditions at once
Internal validity
Projective tests (+types)
Two-way ANOVA
Experimental design
30. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Reliability (+types)
Z-scores
ANOVA/analysis of variance
Robert Zajonc
31. 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
Scientific approach
Myers-Brigg Type Indicator (MBTI)
Alpha levels
Reactance
32. When subject behave differently just because they thing that they have received the treatment substance or condition
Wechsler Adult Intelligence Scale (WAIS)
Alpha levels
Statistical regression
placebo effect
33. Internal-External Locus of Control Scale
percentiles
Validity (+types)
Julian Rotter
Type I and II errors
34. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Donald Campbell and Donald Fiske
Wechsler Intelligence Scale for Children (WISC-R)
Statistical regression
histogram
35. The hypothesis that no real differences or pattern exist
cross-sectional design
Null hypothesis
Correlational relationships
median
36. 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
Continuous data
statistically significant
Correlational relationships
Goodenough Draw-A-Man Test
37. Measure of fascism or authoritarian personality
generalizability
standard error of mean
F-scale or F-ratio
Rosenthal effect
38. 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
Rorschach Inkblot Test
Inferential statistics
Empirical-keying or criterion-keying approach
variance (calculation)
39. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
T-test
Beck Depression Inventory (BDI)
nominal variables
Empirical-keying or criterion-keying approach
40. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Statistical regression
Rorschach Inkblot Test
between subject
Nonequivalent control group
41. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Inferential statistics
Pearson r correlation coefficient
Null hypothesis
stratified sampling
42. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Rorschach Inkblot Test
Demand characteristic
Cross validation
statistically significant
43. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Vocational tests
Walter Mischel
F-scale or F-ratio
Experimenter bias
44. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
mental age
Wechsler Adult Intelligence Scale (WAIS)
Z-scores
Stanford-Binet Intelligence Scale
45. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
range
Domain-referenced tests
Z-scores
Spearman r correlation coefficient
46. Tests the same person at multiple time points and looks at changes within that person
Hawthorne effect
Draw-A-Person Test
Linear regression
within subject
47. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
research design
Field study
Meta-analysis
California Personality Inventory (CPI)
48. How the score are spread out overall
stratified sampling
Variability
Discrete data
Pearson r correlation coefficient
49. 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
interval variables
Mean IQ
Donald Campbell and Donald Fiske
Projective tests (+types)
50. Have order - equal intervals and a real zero ex: age
ratio variables
Robert Zajonc
Test-retest reliability
Thematic Apperception Test (TAT)