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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.
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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. Tests the effects of two independent variables or treatment conditions at once
Learn the shape of different distributions
generalizability
Two-way ANOVA
Internal-External Locus of Control Scale
2. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Word Association Test
Stanford-Binet Intelligence Scale
Pearson r correlation coefficient
Alpha levels
3. 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%
Percentages under normal distribution based on SDs (from mean to end)
IQ Binet'S equation
social desirability
standard deviation (calculation)
4. 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
Achievement tests
Split-half reliability
Central Tendency (types and distribution differences)
Beck Depression Inventory (BDI)
5. When subjects that drop out are different than those that remain; no longer random
Selective attrition
frequency polygon
Meta-analysis
Experimental design
6. Not simple and linear - looks like a curved line - ex: arousal and perfomance - high A --> low P - Low A --> low P - medium A --> high P
Wechsler Intelligence Scale for Children (WISC-R)
Curvilinear relationship
ratio variables
mental age
7. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
mode
Learn the shape of different distributions
Objective tests (+types)
8. Use correlation coefficients in order to predict one variable y from another variable x - let you define a line on graph that describes the relationship between x and y - when the least-square line or regression line is fit to the data - basically: u
mental age
Validity (+types)
Linear regression
Vocational tests
9. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Curvilinear relationship
histogram
Content validity
interval variables
10. Not IQ - It is unlikely IQ captures all facets of it
Statistical regression
Demand characteristic
Achievement tests
Intelligence
11. Measure how well you know a subject - measure past learning
Spearman r correlation coefficient
Achievement tests
percentiles
Correlational relationships
12. How stable measure is; test-retest - split-half
Rosenthal effect
Split-half reliability
placebo effect
Reliability (+types)
13. 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
within subject
Descriptive statistics (+types)
Experimental design
bar graph
14. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type
nominal variables
Vocational tests
statistics
Objective tests (+types)
15. Calculates how off the mean might be in either direction
Internal-External Locus of Control Scale
standard error of mean
normal distribution(+characteristic)
cross-sectional design
16. The effect that might result when a group is born and raised in a particular time period
cohort effect
standard deviation (calculation)
Selective attrition
nominal variables
17. For ranks; determining the line that describes a linear relationship
Two-way ANOVA
Scientific approach
Crystallized intelligence
Spearman r correlation coefficient
18. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Central Tendency (types and distribution differences)
Experimenter bias
quasi-experimental design
Rorschach Inkblot Test
19. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Demand characteristic
statistics
Type I and II errors
Anne Anastasi
20. Whether content covers a good sample of construct being measured
Content validity
bar graph
Lewis Terman
Chi-square test
21. Data that has been counted rather than measured - usually limited to whole or positive values - ex: group size - number of hospital visit - number of symptoms
Chi-square test
Aptitude tests
Discrete data
Projective tests (+types)
22. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
quasi-experimental design
Wechsler Intelligence Scale for Children (WISC-R)
Population & related
cross-sectional design
23. Bell curve; larger the sample - greater chance of having a normal distribution
Selective attrition
normal distribution(+characteristic)
Myers-Brigg Type Indicator (MBTI)
Julian Rotter
24. Measure of fascism or authoritarian personality
Julian Rotter
F-scale or F-ratio
research design
predictive value
25. Measures the extent to which items in a measure 'hang together' and test the same thing
Analysis of covariance (ANCOVA)
F-scale or F-ratio
placebo effect
Internal validity
26. Aims to match demographic characteristics to population (i.e. 50% female - etc)
stratified sampling
social desirability
Vocational tests
Z-scores
27. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Robert Zajonc
Continuous data
Analysis of covariance (ANCOVA)
quasi-experimental design
28. The degree to which an independent variable can predict a dependent variable
Mean IQ
Longitudinal design
T-score
predictive value
29. Used when equivalent one cannot be isolated
confounding variable
Reliability (+types)
Graphs (types)
Nonequivalent control group
30. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
stratified sampling
Lie detector tests
normal distribution(+characteristic)
ratio variables
31. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
standard deviation (calculation)
Robert Zajonc
Experimental design
Vocational tests
32. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Q-sort/measure
nominal variables
Domain-referenced tests
Split-half reliability
33. 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
histogram
John Horn and Raymond Cattell
Stanford-Binet Intelligence Scale
Thematic Apperception Test (TAT)
34. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Minnesota Multiphasic Personality Inventory (MMPI)
Z-scores
cohort-sequential design
Wechsler Adult Intelligence Scale (WAIS)
35. Draw a person of each sex and tell a story about them
Inferential statistics
Domain-referenced tests
within subject
Draw-A-Person Test
36. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Word Association Test
Pearson r correlation coefficient
Rorschach Inkblot Test
ordinal variables
37. Similar to word association - finish incomplete sentences
Myers-Brigg Type Indicator (MBTI)
Anne Anastasi
placebo
Rotter Incomplete Sentence Blank
38. Measure innate ability to learn (debatable) - to predict later performance
range
Construct validity
Myers-Brigg Type Indicator (MBTI)
Aptitude tests
39. 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
Construct validity
Meta-analysis
Illusory correlation
Reactance
40. The degree to which the result from an experiment can be applied to the population and the real world
Validity (+types)
generalizability
Nonequivalent control group
cross-sectional design
41. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
cohort effect
Variability
Inferential statistics
Learn the shape of different distributions
42. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Learn the shape of different distributions
interval variables
Alpha levels
Longitudinal design
43. 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
Linear regression
Strong-Campbell Interest Inventory
variance (calculation)
Validity (+types)
44. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Internal validity
Spearman r correlation coefficient
Lewis Terman
double-blind experiment
45. When subjects act in ways they think experimenter wants or expects
Demand characteristic
Null hypothesis
Achievement tests
nominal variables
46. 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
Aptitude tests
social desirability
Stanford-Binet Intelligence Scale
standard deviation (calculation)
47. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Acquiescence
F-scale or F-ratio
Concurrent validity
bar graph
48. Internal-External Locus of Control Scale
Chi-square test
Rosenzweig Picture-Frustration (P-F) Study
Julian Rotter
Crystallized intelligence
49. Originally used with free association techniques; word called out - subject says next word in mind
Word Association Test
Anne Anastasi
Correlational relationships
Two-way ANOVA
50. Whether test really taps abstract concept being measured
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Construct validity
interval variables
dependent variable
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