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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. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Minnesota Multiphasic Personality Inventory (MMPI)
Split-half reliability
Lewis Terman
Stanford-Binet Intelligence Scale
2. Knowing a fact
Crystallized intelligence
Internal validity
Frequency distributions (+variables)
Population & related
3. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Inferential statistics
Population & related
placebo
Nonequivalent control group
4. When people agree with opposing statements; giving tacit agreement
Acquiescence
generalizability
within subject
Pearson r correlation coefficient
5. Tests the effects of two independent variables or treatment conditions at once
Two-way ANOVA
Alpha levels
Minnesota Multiphasic Personality Inventory (MMPI)
Face validity
6. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Robert Zajonc
Wechsler Intelligence Scale for Children (WISC-R)
bar graph
Mean IQ
7. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Pearson r correlation coefficient
Scientific approach
F-scale or F-ratio
Field study
8. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
research design
Scientific approach
Longitudinal design
Intelligence
9. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Robert Zajonc
California Personality Inventory (CPI)
Concurrent validity
Strong-Campbell Interest Inventory
10. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Anne Anastasi
Item analysis (reliability)
range
T-score
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
Walter Mischel
research design
Factorial analysis of variance
12. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
research design
Crystallized intelligence
standard deviation (calculation)
California Personality Inventory (CPI)
13. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
T-score
Stanford-Binet Intelligence Scale
Q-sort/measure
Bayley Scales of Infant Development
14. Draw a person of each sex and tell a story about them
ANOVA/analysis of variance
Draw-A-Person Test
Construct validity
Test-retest reliability
15. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Analysis of covariance (ANCOVA)
Field study
Correlational relationships
Frequency distributions (+variables)
16. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
ratio variables
Experimental design
Frequency distributions (+variables)
Anne Anastasi
17. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Spearman r correlation coefficient
Nonequivalent control group
Robert Zajonc
Bayley Scales of Infant Development
18. Not IQ - It is unlikely IQ captures all facets of it
Rotter Incomplete Sentence Blank
Analysis of covariance (ANCOVA)
Intelligence
Strong-Campbell Interest Inventory
19. For children 4-6
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Rosenzweig Picture-Frustration (P-F) Study
Construct validity
Correlational relationships
20. 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 -
Vocational tests
Concurrent validity
Chi-square test
Draw-A-Person Test
21. Measure of fascism or authoritarian personality
Rosenthal effect
F-scale or F-ratio
median
Inferential statistics
22. Bell curve; larger the sample - greater chance of having a normal distribution
random sampling
normal distribution(+characteristic)
Two-way ANOVA
Learn the shape of different distributions
23. 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
Spearman r correlation coefficient
research design
Minnesota Multiphasic Personality Inventory (MMPI)
Central Tendency (types and distribution differences)
24. Measured by the same individual taking the same test more than once
Longitudinal design
variance and standard deviation
between subject
Test-retest reliability
25. 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%
Construct validity
Objective tests (+types)
Spearman r correlation coefficient
Percentages under normal distribution based on SDs (from mean to end)
26. 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
External validity (+types)
Mean IQ
Learn the shape of different distributions
Linear regression
27. When subjects that drop out are different than those that remain; no longer random
Selective attrition
Concurrent validity
Type I and II errors
Vocational tests
28. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Face validity
Percentages under normal distribution based on SDs (from mean to end)
Inferential statistics
Word Association Test
29. When subjects act in ways they think experimenter wants or expects
double-blind experiment
Demand characteristic
Scientific approach
Walter Mischel
30. 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%
cohort-sequential design
Field study
standard error of mean
Alpha levels
31. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Content validity
Z-scores
cohort-sequential design
Validity (+types)
32. The process of representing or analyzing numerical data
statistics
Strong-Campbell Interest Inventory
Demand characteristic
Central Tendency (types and distribution differences)
33. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Experimenter bias
Learn the shape of different distributions
Continuous data
Concurrent validity
34. 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
Objective tests (+types)
Factorial analysis of variance
Alpha levels
Descriptive statistics (+types)
35. 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
independent variable
Aptitude tests
variance and standard deviation
Descriptive statistics (+types)
36. There is a general factor in intelligence 'g'
Learn the shape of different distributions
Charles Spearmen
Julian Rotter
Percentages under normal distribution based on SDs (from mean to end)
37. Tests the same person at multiple time points and looks at changes within that person
Curvilinear relationship
Word Association Test
Validity (+types)
within subject
38. How much variation there is among n number of scores in a distribution
variance and standard deviation
Myers-Brigg Type Indicator (MBTI)
Spearman r correlation coefficient
ANOVA/analysis of variance
39. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Rorschach Inkblot Test
Aptitude tests
Lewis Terman
Longitudinal design
40. 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
Walter Mischel
Meta-analysis
Hawthorne effect
Rotter Incomplete Sentence Blank
41. (Mental age/chronological age)/100 - Highest age = 16
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42. The effect that might result when a group is born and raised in a particular time period
cohort effect
ordinal variables
Meta-analysis
External validity (+types)
43. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Frequency distributions (+variables)
Donald Campbell and Donald Fiske
Split-half reliability
Pearson r correlation coefficient
44. Measure mastery in a particular area (e.g. final exam)
histogram
Crystallized intelligence
Criterion-referenced tests
Beck Depression Inventory (BDI)
45. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Factorial analysis of variance
ordinal variables
Content validity
Z-scores
46. Attitude change in response to feeling that options are limited; e.g. dislike experiment and intentionally behaving unnaturally - or being set on a certain flavour of ice cream as soon as told it is sold out
Percentages under normal distribution based on SDs (from mean to end)
placebo effect
Nonequivalent control group
Reactance
47. Measure how well you know a subject - measure past learning
Z-scores
Achievement tests
double-blind experiment
standard deviation (calculation)
48. Different subjects of different ages are compared - faster - easier
Charles Spearmen
cross-sectional design
Reactance
Thematic Apperception Test (TAT)
49. 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
Illusory correlation
confounding variable
One-way ANOVA
Item analysis (reliability)
50. The degree to which the result from an experiment can be applied to the population and the real world
Statistical regression
generalizability
Central Tendency (types and distribution differences)
Population & related