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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. 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
Descriptive statistics (+types)
stratified sampling
Hawthorne effect
Internal validity
2. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
cross-sectional design
External validity (+types)
Reactance
Julian Rotter
3. 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
Construct validity
independent variable
Donald Campbell and Donald Fiske
Two-way ANOVA
4. 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
Linear regression
Empirical-keying or criterion-keying approach
confounding variable
Mean IQ
5. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
Donald Campbell and Donald Fiske
stratified sampling
Aptitude tests
6. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
T-test
Wechsler Intelligence Scale for Children (WISC-R)
standard deviation (calculation)
Projective tests (+types)
7. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Alpha levels
Experimenter bias
mental age
dependent variable
8. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Learn the shape of different distributions
Validity (+types)
Strong-Campbell Interest Inventory
Statistical regression
9. Not IQ - It is unlikely IQ captures all facets of it
Correlational relationships
Fluid intelligence
Intelligence
Wechsler Adult Intelligence Scale (WAIS)
10. Developed concept of IQ and first intelligence test (Binet Scale)
Central Tendency (types and distribution differences)
Two-way ANOVA
placebo effect
Alfred Binet
11. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Strong-Campbell Interest Inventory
Myers-Brigg Type Indicator (MBTI)
Concurrent validity
Stanford-Binet Intelligence Scale
12. 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
Achievement tests
Continuous data
Mean IQ
External validity (+types)
13. For ranks; determining the line that describes a linear relationship
independent variable
Word Association Test
Spearman r correlation coefficient
Minnesota Multiphasic Personality Inventory (MMPI)
14. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Charles Spearmen
Lie detector tests
Domain-referenced tests
Reliability (+types)
15. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Strong-Campbell Interest Inventory
generalizability
Statistical regression
mental age
16. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
ratio variables
Anne Anastasi
Bayley Scales of Infant Development
17. Measured by the same individual taking the same test more than once
Percentages under normal distribution based on SDs (from mean to end)
Reliability (+types)
Internal-External Locus of Control Scale
Test-retest reliability
18. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
cohort effect
Vocational tests
Construct validity
Analysis of covariance (ANCOVA)
19. The age level of a person'S functioning according to the IQ test
variance and standard deviation
research design
mental age
F-scale or F-ratio
20. Different subjects of different ages are compared - faster - easier
cross-sectional design
Learn the shape of different distributions
Field study
Minnesota Multiphasic Personality Inventory (MMPI)
21. 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
Draw-A-Person Test
Q-sort/measure
Construct validity
Nonequivalent control group
22. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Experimental design
Stanford-Binet Intelligence Scale
Learn the shape of different distributions
Face validity
23. Like a histogram except that the vertical bars do not touch - various columns are separated by space
predictive value
California Personality Inventory (CPI)
bar graph
Standard normal distributions
24. 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
Donald Campbell and Donald Fiske
Validity (+types)
Spearman r correlation coefficient
Objective tests (+types)
25. Used when equivalent one cannot be isolated
Learn the shape of different distributions
Nonequivalent control group
Item analysis (reliability)
mode
26. 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
Reactance
Frequency distributions (+variables)
Statistical regression
ratio variables
27. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
standard deviation (calculation)
range
Population & related
Face validity
28. The degree to which an independent variable can predict a dependent variable
T-test
mental age
Field study
predictive value
29. Draw a person of each sex and tell a story about them
Draw-A-Person Test
generalizability
Graphs (types)
Rotter Incomplete Sentence Blank
30. Assess extent interests and strengths match those found by professionals in a particular job field
Vocational tests
Test-retest reliability
frequency polygon
standard error of mean
31. Every member of the population has an equal chance of being chosen for the sample
Mean IQ
random sampling
Frequency distributions (+variables)
confounding variable
32. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Hawthorne effect
Discrete data
Robert Zajonc
Projective tests (+types)
33. 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
Myers-Brigg Type Indicator (MBTI)
nominal variables
Experimenter bias
Draw-A-Person Test
34. Tests the effects of two independent variables or treatment conditions at once
Crystallized intelligence
Rotter Incomplete Sentence Blank
Curvilinear relationship
Two-way ANOVA
35. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Z-scores
Discrete data
Beck Depression Inventory (BDI)
Lie detector tests
36. How much variation there is among n number of scores in a distribution
F-scale or F-ratio
variance and standard deviation
between subject
Reliability (+types)
37. Whether test really taps abstract concept being measured
Construct validity
Internal validity
median
histogram
38. Tests the same person at multiple time points and looks at changes within that person
Acquiescence
Mean IQ
Concurrent validity
within subject
39. 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
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
placebo
Reactance
Minnesota Multiphasic Personality Inventory (MMPI)
40. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
random sampling
Standard normal distributions
Continuous data
Null hypothesis
41. Used most commonly on standardized test
nominal variables
interval variables
percentiles
Robert Zajonc
42. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
ordinal variables
dependent variable
between subject
Beck Depression Inventory (BDI)
43. When subjects that drop out are different than those that remain; no longer random
Internal validity
Selective attrition
research design
Two-way ANOVA
44. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
cohort effect
IQ Binet'S equation
Wechsler Adult Intelligence Scale (WAIS)
Two-way ANOVA
45. There is a general factor in intelligence 'g'
T-score
Statistical regression
Charles Spearmen
stratified sampling
46. 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%
ordinal variables
Donald Campbell and Donald Fiske
Alpha levels
Objective tests (+types)
47. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
interval variables
dependent variable
Pearson r correlation coefficient
Word Association Test
48. 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
Face validity
Goodenough Draw-A-Man Test
Empirical-keying or criterion-keying approach
nominal variables
49. When people agree with opposing statements; giving tacit agreement
Rorschach Inkblot Test
stratified sampling
Acquiescence
range
50. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Frequency distributions (+variables)
Walter Mischel
Meta-analysis
Population & related