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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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Subjects
:
gre
,
psychology
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
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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. Process in testing concurrent validity
Cross validation
Field study
statistically significant
Statistical regression
2. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
frequency polygon
External validity (+types)
Experimental design
Walter Mischel
3. For children 6-16
Descriptive statistics (+types)
Wechsler Intelligence Scale for Children (WISC-R)
Lewis Terman
Cross validation
4. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
interval variables
Pearson r correlation coefficient
Type I and II errors
Alfred Binet
5. The hypothesis that no real differences or pattern exist
research design
Achievement tests
Null hypothesis
social desirability
6. Experimenter bias; researchers see what they want to see; minimized in double-blind
Standard normal distributions
Z-scores
Minnesota Multiphasic Personality Inventory (MMPI)
Rosenthal effect
7. 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
Central Tendency (types and distribution differences)
social desirability
Scientific approach
dependent variable
8. 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
Julian Rotter
cross-sectional design
Internal validity
Central Tendency (types and distribution differences)
9. How the score are spread out overall
between subject
range
Rotter Incomplete Sentence Blank
Variability
10. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Item analysis (reliability)
Experimenter bias
confounding variable
One-way ANOVA
11. Measure of fascism or authoritarian personality
Inferential statistics
standard error of mean
F-scale or F-ratio
placebo effect
12. Used when an experiment involves more than one independent variable - can separate the effects of different levels of different variables - can isolate main effects - can identify interaction effects - ex: studying effect of brain lesion on problem s
Factorial analysis of variance
Selective attrition
Inferential statistics
Reliability (+types)
13. When subjects that drop out are different than those that remain; no longer random
Q-sort/measure
Intelligence
Donald Campbell and Donald Fiske
Selective attrition
14. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Split-half reliability
Nonequivalent control group
median
Statistical regression
15. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
median
Robert Zajonc
range
IQ Binet'S equation
16. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Alfred Binet
standard deviation (calculation)
cohort-sequential design
variance and standard deviation
17. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
generalizability
Learn the shape of different distributions
Two-way ANOVA
Acquiescence
18. Whether test items look like they measure the construct
Objective tests (+types)
Myers-Brigg Type Indicator (MBTI)
mode
Face validity
19. 34.13% - 13.59% - 2.02% - 0.26% and - +3 99.74% - +2 97.72% - +1 84.13% - 0 50.00% - -1 15.87% - -2 2.28% - -3 0.26%
random sampling
Z-scores
cross-sectional design
Percentages under normal distribution based on SDs (from mean to end)
20. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Lewis Terman
Alfred Binet
Inferential statistics
California Personality Inventory (CPI)
21. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
interval variables
double-blind experiment
predictive value
within subject
22. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
Rorschach Inkblot Test
Construct validity
Chi-square test
23. Combines longitudinal and cross-sectional approach
cohort-sequential design
Rorschach Inkblot Test
John Horn and Raymond Cattell
Minnesota Multiphasic Personality Inventory (MMPI)
24. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
ordinal variables
Z-scores
Criterion-referenced tests
Lie detector tests
25. 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
Discrete data
standard deviation (calculation)
quasi-experimental design
Rorschach Inkblot Test
26. Not IQ - It is unlikely IQ captures all facets of it
Descriptive statistics (+types)
histogram
Intelligence
dependent variable
27. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Rorschach Inkblot Test
Intelligence
Rotter Incomplete Sentence Blank
Descriptive statistics (+types)
28. Whether test really taps abstract concept being measured
Beck Depression Inventory (BDI)
Construct validity
interval variables
Minnesota Multiphasic Personality Inventory (MMPI)
29. Different subjects of different ages are compared - faster - easier
cross-sectional design
Variability
Minnesota Multiphasic Personality Inventory (MMPI)
Nonequivalent control group
30. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Field study
Construct validity
Statistical regression
Correlational relationships
31. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
cross-sectional design
Experimental design
Illusory correlation
32. Tests the same person at multiple time points and looks at changes within that person
within subject
Internal-External Locus of Control Scale
stratified sampling
Percentages under normal distribution based on SDs (from mean to end)
33. Calculates how off the mean might be in either direction
Analysis of covariance (ANCOVA)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
range
standard error of mean
34. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Strong-Campbell Interest Inventory
California Personality Inventory (CPI)
between subject
IQ Binet'S equation
35. The effect that might result when a group is born and raised in a particular time period
Frequency distributions (+variables)
cohort effect
Hawthorne effect
standard error of mean
36. Used when n-cases in a sample are classified into categories or cells - tell us whether the groups are significantly different in size - look at the pattern or distributions - not difference between mean - ex:intro psych class categorized into race -
Graphs (types)
Goodenough Draw-A-Man Test
Chi-square test
Rosenthal effect
37. 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
range
Meta-analysis
Thematic Apperception Test (TAT)
double-blind experiment
38. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Nonequivalent control group
percentiles
Walter Mischel
Stanford-Binet Intelligence Scale
39. Tests the effects of two independent variables or treatment conditions at once
Mean IQ
Two-way ANOVA
predictive value
Population & related
40. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Population & related
Vocational tests
Anne Anastasi
between subject
41. For children 4-6
statistically significant
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
social desirability
Empirical-keying or criterion-keying approach
42. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
T-score
Alpha levels
Test-retest reliability
placebo
43. The age level of a person'S functioning according to the IQ test
independent variable
social desirability
mental age
ANOVA/analysis of variance
44. Knowing how to do something
quasi-experimental design
double-blind experiment
normal distribution(+characteristic)
Fluid intelligence
45. Rosenthal effect; researchers see what they want to see; minimized in double-blind
variance (calculation)
Alfred Binet
ratio variables
Experimenter bias
46. 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
Hawthorne effect
Pearson r correlation coefficient
Descriptive statistics (+types)
Scientific approach
47. 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
dependent variable
Goodenough Draw-A-Man Test
Hawthorne effect
Experimenter bias
48. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
dependent variable
Wechsler Adult Intelligence Scale (WAIS)
Objective tests (+types)
Demand characteristic
49. The process of representing or analyzing numerical data
statistics
range
One-way ANOVA
Anne Anastasi
50. Draw a person of each sex and tell a story about them
Draw-A-Person Test
Variability
Central Tendency (types and distribution differences)
Two-way ANOVA