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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
.
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. Different subjects of different ages are compared - faster - easier
random sampling
cross-sectional design
Julian Rotter
research design
2. 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)
Myers-Brigg Type Indicator (MBTI)
Hawthorne effect
Wechsler Intelligence Scale for Children (WISC-R)
3. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Inferential statistics
stratified sampling
Crystallized intelligence
range
4. Anything that is measured such as height or depression score on a depression scale
Stanford-Binet Intelligence Scale
Field study
Continuous data
Standard normal distributions
5. Used when equivalent one cannot be isolated
median
Nonequivalent control group
Hawthorne effect
Goodenough Draw-A-Man Test
6. Whether test really taps abstract concept being measured
One-way ANOVA
Validity (+types)
Aptitude tests
Construct validity
7. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
California Personality Inventory (CPI)
interval variables
between subject
frequency polygon
8. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
F-scale or F-ratio
Cross validation
Lewis Terman
interval variables
9. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Criterion-referenced tests
between subject
Strong-Campbell Interest Inventory
confounding variable
10. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Hawthorne effect
External validity (+types)
One-way ANOVA
ordinal variables
11. Knowing how to do something
Continuous data
Rosenzweig Picture-Frustration (P-F) Study
social desirability
Fluid intelligence
12. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Percentages under normal distribution based on SDs (from mean to end)
Field study
Rosenzweig Picture-Frustration (P-F) Study
Vocational tests
13. Similar to T-test - but can measure more than 2 groups
ANOVA/analysis of variance
Central Tendency (types and distribution differences)
Goodenough Draw-A-Man Test
Linear regression
14. Bell curve; larger the sample - greater chance of having a normal distribution
Thematic Apperception Test (TAT)
normal distribution(+characteristic)
confounding variable
Acquiescence
15. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Linear regression
Rorschach Inkblot Test
Robert Zajonc
16. When people agree with opposing statements; giving tacit agreement
Lie detector tests
placebo effect
Experimenter bias
Acquiescence
17. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
between subject
Longitudinal design
nominal variables
Beck Depression Inventory (BDI)
18. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
Two-way ANOVA
Projective tests (+types)
Cross validation
19. For ranks; determining the line that describes a linear relationship
IQ Binet'S equation
standard error of mean
median
Spearman r correlation coefficient
20. 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
Alfred Binet
Wechsler Adult Intelligence Scale (WAIS)
Minnesota Multiphasic Personality Inventory (MMPI)
External validity (+types)
21. Assess extent interests and strengths match those found by professionals in a particular job field
Wechsler Adult Intelligence Scale (WAIS)
Acquiescence
Factorial analysis of variance
Vocational tests
22. Similar to word association - finish incomplete sentences
Rotter Incomplete Sentence Blank
Factorial analysis of variance
cohort-sequential design
Walter Mischel
23. Used most commonly on standardized test
Criterion-referenced tests
percentiles
Thematic Apperception Test (TAT)
Robert Zajonc
24. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Domain-referenced tests
Alfred Binet
Draw-A-Person Test
normal distribution(+characteristic)
25. How much variation there is among n number of scores in a distribution
John Horn and Raymond Cattell
Z-scores
variance and standard deviation
Experimental design
26. Fluid intelligence declines with old age while crystallized intelligence does not
Julian Rotter
John Horn and Raymond Cattell
Acquiescence
Crystallized intelligence
27. 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
Curvilinear relationship
Pearson r correlation coefficient
Central Tendency (types and distribution differences)
Q-sort/measure
28. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
double-blind experiment
Word Association Test
External validity (+types)
Lewis Terman
29. Calculates how off the mean might be in either direction
percentiles
mental age
standard error of mean
Pearson r correlation coefficient
30. 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
Rorschach Inkblot Test
variance (calculation)
Reactance
Rosenthal effect
31. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Wechsler Intelligence Scale for Children (WISC-R)
Z-scores
Concurrent validity
Frequency distributions (+variables)
32. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Item analysis (reliability)
Statistical regression
random sampling
T-score
33. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Achievement tests
Rosenthal effect
generalizability
Field study
34. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Construct validity
Statistical regression
variance (calculation)
Wechsler Adult Intelligence Scale (WAIS)
35. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Correlational relationships
Objective tests (+types)
nominal variables
Statistical regression
36. Draw a person of each sex and tell a story about them
Spearman r correlation coefficient
Draw-A-Person Test
Test-retest reliability
John Horn and Raymond Cattell
37. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
California Personality Inventory (CPI)
Validity (+types)
T-score
Donald Campbell and Donald Fiske
38. 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
ordinal variables
Graphs (types)
cohort effect
Linear regression
39. Measure innate ability to learn (debatable) - to predict later performance
ordinal variables
Aptitude tests
random sampling
Reactance
40. The process of representing or analyzing numerical data
Illusory correlation
statistics
Central Tendency (types and distribution differences)
statistically significant
41. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Internal-External Locus of Control Scale
Reactance
Crystallized intelligence
Alpha levels
42. The age level of a person'S functioning according to the IQ test
Beck Depression Inventory (BDI)
Goodenough Draw-A-Man Test
mental age
Illusory correlation
43. 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
Domain-referenced tests
random sampling
variance and standard deviation
quasi-experimental design
44. Tests the effects of two independent variables or treatment conditions at once
Thematic Apperception Test (TAT)
One-way ANOVA
Two-way ANOVA
Validity (+types)
45. 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
Experimenter bias
Projective tests (+types)
Longitudinal design
T-test
46. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
median
Anne Anastasi
Achievement tests
confounding variable
47. Measured by the same individual taking the same test more than once
Acquiescence
normal distribution(+characteristic)
Robert Zajonc
Test-retest reliability
48. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Correlational relationships
California Personality Inventory (CPI)
Population & related
Reactance
49. How stable measure is; test-retest - split-half
Content validity
Reliability (+types)
John Horn and Raymond Cattell
Robert Zajonc
50. The degree to which an independent variable can predict a dependent variable
Fluid intelligence
predictive value
cohort effect
mental age