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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
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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. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Lewis Terman
Selective attrition
Lie detector tests
T-score
2. Allows own answer: expression of conflicts - needs - impulses; content interpreted by administrator - some more objective than others; Rorschach Inkblot Test - Thematic Apperception Test - Rosenzweig Picture-Frustration (P-F) Study - Word Association
nominal variables
Projective tests (+types)
Illusory correlation
Goodenough Draw-A-Man Test
3. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
bar graph
variance and standard deviation
T-test
Domain-referenced tests
4. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
ANOVA/analysis of variance
Robert Zajonc
percentiles
5. How the score are spread out overall
Two-way ANOVA
Continuous data
Julian Rotter
Variability
6. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
ordinal variables
Field study
Rotter Incomplete Sentence Blank
Linear regression
7. 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
percentiles
dependent variable
Empirical-keying or criterion-keying approach
standard deviation (calculation)
8. Originally used with free association techniques; word called out - subject says next word in mind
Rorschach Inkblot Test
Pearson r correlation coefficient
quasi-experimental design
Word Association Test
9. Similar to word association - finish incomplete sentences
Internal validity
Rotter Incomplete Sentence Blank
social desirability
Julian Rotter
10. 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
Intelligence
Goodenough Draw-A-Man Test
within subject
Illusory correlation
11. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
nominal variables
Rotter Incomplete Sentence Blank
Stanford-Binet Intelligence Scale
Field study
12. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Scientific approach
Fluid intelligence
Rorschach Inkblot Test
stratified sampling
13. When subject behave differently just because they thing that they have received the treatment substance or condition
Selective attrition
placebo effect
Strong-Campbell Interest Inventory
Donald Campbell and Donald Fiske
14. For even number of values in the set - take the average of the two middle value
Item analysis (reliability)
median
Julian Rotter
Acquiescence
15. Different subjects of different ages are compared - faster - easier
Analysis of covariance (ANCOVA)
percentiles
cross-sectional design
Rosenzweig Picture-Frustration (P-F) Study
16. (Mental age/chronological age)/100 - Highest age = 16
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17. Draw a person of each sex and tell a story about them
Criterion-referenced tests
Illusory correlation
Pearson r correlation coefficient
Draw-A-Person Test
18. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
One-way ANOVA
Content validity
Anne Anastasi
California Personality Inventory (CPI)
19. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
John Horn and Raymond Cattell
Wechsler Intelligence Scale for Children (WISC-R)
Illusory correlation
Validity (+types)
20. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
placebo effect
quasi-experimental design
Experimental design
California Personality Inventory (CPI)
21. Similar to T-test - but can measure more than 2 groups
ANOVA/analysis of variance
Construct validity
between subject
nominal variables
22. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
median
T-score
Intelligence
23. Created multitrait-multimethod technique to determine validity of tests
Crystallized intelligence
Alfred Binet
Donald Campbell and Donald Fiske
Factorial analysis of variance
24. Measured by the same individual taking the same test more than once
ordinal variables
Wechsler Intelligence Scale for Children (WISC-R)
Alfred Binet
Test-retest reliability
25. Whether test items look like they measure the construct
Meta-analysis
placebo effect
Face validity
Curvilinear relationship
26. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
range
One-way ANOVA
Bayley Scales of Infant Development
research design
27. Measure mastery in a particular area (e.g. final exam)
Criterion-referenced tests
Stanford-Binet Intelligence Scale
confounding variable
placebo effect
28. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Illusory correlation
statistics
Chi-square test
Lie detector tests
29. Compares 2 groups of people at the same time point
Crystallized intelligence
T-score
between subject
Minnesota Multiphasic Personality Inventory (MMPI)
30. There is a general factor in intelligence 'g'
Vocational tests
Learn the shape of different distributions
cohort effect
Charles Spearmen
31. 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
Objective tests (+types)
Lewis Terman
ordinal variables
Reliability (+types)
32. 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 -
social desirability
Concurrent validity
Central Tendency (types and distribution differences)
Chi-square test
33. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Experimenter bias
Continuous data
variance (calculation)
Robert Zajonc
34. Whether content covers a good sample of construct being measured
Donald Campbell and Donald Fiske
Content validity
Achievement tests
statistically significant
35. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
median
Draw-A-Person Test
standard deviation (calculation)
Graphs (types)
36. 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
Frequency distributions (+variables)
Statistical regression
median
37. For ranks; determining the line that describes a linear relationship
Test-retest reliability
Beck Depression Inventory (BDI)
Rosenthal effect
Spearman r correlation coefficient
38. 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
Mean IQ
cohort effect
independent variable
John Horn and Raymond Cattell
39. Measure innate ability to learn (debatable) - to predict later performance
double-blind experiment
Stanford-Binet Intelligence Scale
Aptitude tests
Q-sort/measure
40. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
double-blind experiment
Acquiescence
frequency polygon
Rotter Incomplete Sentence Blank
41. 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
Charles Spearmen
variance (calculation)
Central Tendency (types and distribution differences)
standard error of mean
42. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Concurrent validity
Z-scores
Selective attrition
Donald Campbell and Donald Fiske
43. Developed concept of IQ and first intelligence test (Binet Scale)
Alfred Binet
stratified sampling
Strong-Campbell Interest Inventory
Criterion-referenced tests
44. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Reactance
Statistical regression
bar graph
Pearson r correlation coefficient
45. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
research design
variance (calculation)
double-blind experiment
social desirability
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
Experimenter bias
Two-way ANOVA
Internal validity
social desirability
47. 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
cohort effect
Split-half reliability
Discrete data
placebo
48. 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%
Stanford-Binet Intelligence Scale
Frequency distributions (+variables)
variance and standard deviation
Alpha levels
49. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
social desirability
placebo
between subject
Illusory correlation
50. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimental design
ANOVA/analysis of variance
Experimenter bias
Standard normal distributions