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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. 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)
median
Empirical-keying or criterion-keying approach
Type I and II errors
2. How much variation there is among n number of scores in a distribution
standard error of mean
variance and standard deviation
Discrete data
Item analysis (reliability)
3. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
John Horn and Raymond Cattell
dependent variable
Validity (+types)
Type I and II errors
4. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
nominal variables
Wechsler Intelligence Scale for Children (WISC-R)
Reliability (+types)
Demand characteristic
5. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
nominal variables
Bayley Scales of Infant Development
Stanford-Binet Intelligence Scale
Internal validity
6. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Bayley Scales of Infant Development
placebo effect
Thematic Apperception Test (TAT)
ordinal variables
7. 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%
Standard normal distributions
Item analysis (reliability)
Percentages under normal distribution based on SDs (from mean to end)
variance (calculation)
8. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
interval variables
Scientific approach
double-blind experiment
cross-sectional design
9. The process of representing or analyzing numerical data
statistics
Variability
Acquiescence
Goodenough Draw-A-Man Test
10. The degree to which an independent variable can predict a dependent variable
predictive value
Lie detector tests
standard error of mean
Rorschach Inkblot Test
11. Assess extent interests and strengths match those found by professionals in a particular job field
Face validity
IQ Binet'S equation
Vocational tests
Content validity
12. Combines longitudinal and cross-sectional approach
median
frequency polygon
cohort-sequential design
Statistical regression
13. How stable measure is; test-retest - split-half
Reliability (+types)
within subject
F-scale or F-ratio
Concurrent validity
14. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Internal-External Locus of Control Scale
Statistical regression
Rotter Incomplete Sentence Blank
T-score
15. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
ratio variables
Wechsler Adult Intelligence Scale (WAIS)
Analysis of covariance (ANCOVA)
Criterion-referenced tests
16. 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
Goodenough Draw-A-Man Test
quasi-experimental design
Stanford-Binet Intelligence Scale
Empirical-keying or criterion-keying approach
17. Compares 2 groups of people at the same time point
Factorial analysis of variance
generalizability
Alpha levels
between subject
18. 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)
Discrete data
California Personality Inventory (CPI)
Face validity
19. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
cohort effect
generalizability
interval variables
social desirability
20. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Correlational relationships
Variability
Thematic Apperception Test (TAT)
Field study
21. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Discrete data
Analysis of covariance (ANCOVA)
F-scale or F-ratio
cross-sectional design
22. Subjects alter behaviour because they are being observed
Hawthorne effect
frequency polygon
Construct validity
placebo effect
23. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
Rotter Incomplete Sentence Blank
Wechsler Intelligence Scale for Children (WISC-R)
Internal validity
24. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
California Personality Inventory (CPI)
social desirability
Minnesota Multiphasic Personality Inventory (MMPI)
Word Association Test
25. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
nominal variables
Internal validity
Julian Rotter
frequency polygon
26. For children 4-6
ratio variables
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Two-way ANOVA
Continuous data
27. 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
Thematic Apperception Test (TAT)
nominal variables
predictive value
ordinal variables
28. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Split-half reliability
Illusory correlation
Beck Depression Inventory (BDI)
ratio variables
29. Bell curve; larger the sample - greater chance of having a normal distribution
normal distribution(+characteristic)
Frequency distributions (+variables)
Factorial analysis of variance
Validity (+types)
30. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
nominal variables
Rosenzweig Picture-Frustration (P-F) Study
variance (calculation)
placebo effect
31. (Mental age/chronological age)/100 - Highest age = 16
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32. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Continuous data
Anne Anastasi
Construct validity
Descriptive statistics (+types)
33. Every member of the population has an equal chance of being chosen for the sample
social desirability
Walter Mischel
random sampling
T-test
34. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Graphs (types)
Cross validation
Strong-Campbell Interest Inventory
Content validity
35. Measure mastery in a particular area (e.g. final exam)
frequency polygon
Spearman r correlation coefficient
Demand characteristic
Criterion-referenced tests
36. Calculates how off the mean might be in either direction
IQ Binet'S equation
Illusory correlation
standard error of mean
Population & related
37. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Reactance
variance (calculation)
Lewis Terman
Internal-External Locus of Control Scale
38. The age level of a person'S functioning according to the IQ test
histogram
ANOVA/analysis of variance
Alfred Binet
mental age
39. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Meta-analysis
Face validity
standard deviation (calculation)
External validity (+types)
40. Similar to word association - finish incomplete sentences
variance (calculation)
Experimental design
Split-half reliability
Rotter Incomplete Sentence Blank
41. Similar to T-test - but can measure more than 2 groups
stratified sampling
ANOVA/analysis of variance
variance (calculation)
Rosenzweig Picture-Frustration (P-F) Study
42. When subjects act in ways they think experimenter wants or expects
Acquiescence
social desirability
Demand characteristic
Fluid intelligence
43. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
dependent variable
Rorschach Inkblot Test
Null hypothesis
Central Tendency (types and distribution differences)
44. 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
Rorschach Inkblot Test
Intelligence
Illusory correlation
Demand characteristic
45. There is a general factor in intelligence 'g'
percentiles
Variability
Concurrent validity
Charles Spearmen
46. For ranks; determining the line that describes a linear relationship
Field study
Spearman r correlation coefficient
Rosenzweig Picture-Frustration (P-F) Study
Strong-Campbell Interest Inventory
47. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
statistically significant
Rosenzweig Picture-Frustration (P-F) Study
Reliability (+types)
Content validity
48. 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
Learn the shape of different distributions
generalizability
Julian Rotter
49. The most frequently occurring value
Aptitude tests
Stanford-Binet Intelligence Scale
Graphs (types)
mode
50. 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
quasi-experimental design
Discrete data
variance and standard deviation
Continuous data