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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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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. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Lewis Terman
Inferential statistics
Selective attrition
ratio variables
2. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
variance and standard deviation
range
External validity (+types)
Lewis Terman
3. Draw a person of each sex and tell a story about them
frequency polygon
Lewis Terman
Draw-A-Person Test
Alpha levels
4. Every member of the population has an equal chance of being chosen for the sample
bar graph
F-scale or F-ratio
confounding variable
random sampling
5. Whether content covers a good sample of construct being measured
Content validity
Anne Anastasi
Alfred Binet
confounding variable
6. 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%
placebo
Face validity
Percentages under normal distribution based on SDs (from mean to end)
Rosenzweig Picture-Frustration (P-F) Study
7. 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
standard error of mean
variance (calculation)
Z-scores
Test-retest reliability
8. 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
Variability
Reactance
Myers-Brigg Type Indicator (MBTI)
Walter Mischel
9. Similar to word association - finish incomplete sentences
predictive value
Objective tests (+types)
Cross validation
Rotter Incomplete Sentence Blank
10. compares means of 2 different groups to see if the two groups are truly different - analyze differences between means on continuous data - particularly useful with small n - cannot test for difference between more than 2 groups
T-test
standard deviation (calculation)
Meta-analysis
Reactance
11. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Robert Zajonc
ordinal variables
cross-sectional design
Two-way ANOVA
12. Combines longitudinal and cross-sectional approach
cohort-sequential design
double-blind experiment
Donald Campbell and Donald Fiske
ordinal variables
13. 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
statistics
Discrete data
Analysis of covariance (ANCOVA)
Q-sort/measure
14. Used when equivalent one cannot be isolated
Illusory correlation
range
Nonequivalent control group
Internal validity
15. The degree to which the result from an experiment can be applied to the population and the real world
Myers-Brigg Type Indicator (MBTI)
generalizability
Test-retest reliability
Learn the shape of different distributions
16. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Discrete data
Lie detector tests
Type I and II errors
Longitudinal design
17. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
T-score
Face validity
Julian Rotter
mode
18. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Statistical regression
placebo effect
Projective tests (+types)
Wechsler Adult Intelligence Scale (WAIS)
19. Measure of fascism or authoritarian personality
Alfred Binet
F-scale or F-ratio
median
Q-sort/measure
20. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Rosenthal effect
Correlational relationships
Longitudinal design
Robert Zajonc
21. 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
Chi-square test
Descriptive statistics (+types)
dependent variable
Robert Zajonc
22. 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
predictive value
Mean IQ
Selective attrition
23. 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)
Standard normal distributions
Null hypothesis
nominal variables
24. How much variation there is among n number of scores in a distribution
Chi-square test
Hawthorne effect
Variability
variance and standard deviation
25. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Rorschach Inkblot Test
statistics
Analysis of covariance (ANCOVA)
Cross validation
26. Calculates how off the mean might be in either direction
cohort effect
standard error of mean
Bayley Scales of Infant Development
Descriptive statistics (+types)
27. 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
Vocational tests
Empirical-keying or criterion-keying approach
placebo
Illusory correlation
28. 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
cohort-sequential design
Null hypothesis
social desirability
Draw-A-Person Test
29. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Reliability (+types)
Acquiescence
interval variables
placebo
30. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
statistically significant
Learn the shape of different distributions
Longitudinal design
within subject
31. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Alfred Binet
Bayley Scales of Infant Development
Split-half reliability
independent variable
32. For even number of values in the set - take the average of the two middle value
median
confounding variable
Reactance
ANOVA/analysis of variance
33. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Intelligence
Type I and II errors
Rorschach Inkblot Test
Wechsler Adult Intelligence Scale (WAIS)
34. Measured by the same individual taking the same test more than once
Descriptive statistics (+types)
cohort-sequential design
percentiles
Test-retest reliability
35. Bell curve; larger the sample - greater chance of having a normal distribution
Rotter Incomplete Sentence Blank
Wechsler Adult Intelligence Scale (WAIS)
normal distribution(+characteristic)
placebo effect
36. (Mental age/chronological age)/100 - Highest age = 16
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37. 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
random sampling
cohort effect
Item analysis (reliability)
38. When subject behave differently just because they thing that they have received the treatment substance or condition
Face validity
Thematic Apperception Test (TAT)
F-scale or F-ratio
placebo effect
39. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
mode
Domain-referenced tests
Frequency distributions (+variables)
Descriptive statistics (+types)
40. Experimenter bias; researchers see what they want to see; minimized in double-blind
ratio variables
Rosenthal effect
Crystallized intelligence
Validity (+types)
41. 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
Anne Anastasi
Factorial analysis of variance
Lie detector tests
Illusory correlation
42. Fluid intelligence declines with old age while crystallized intelligence does not
Domain-referenced tests
Criterion-referenced tests
Julian Rotter
John Horn and Raymond Cattell
43. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Wechsler Adult Intelligence Scale (WAIS)
ratio variables
Split-half reliability
Beck Depression Inventory (BDI)
44. How stable measure is; test-retest - split-half
within subject
Julian Rotter
Reliability (+types)
Population & related
45. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Draw-A-Person Test
One-way ANOVA
statistics
Cross validation
46. For ranks; determining the line that describes a linear relationship
Inferential statistics
Spearman r correlation coefficient
Domain-referenced tests
Content validity
47. Used when an experiment involves more than one independent variable - can separate the effects of different levels of different variables - can isolate main effects - can identify interaction effects - ex: studying effect of brain lesion on problem s
Factorial analysis of variance
Hawthorne effect
Z-scores
Domain-referenced tests
48. Similar to T-test - but can measure more than 2 groups
Minnesota Multiphasic Personality Inventory (MMPI)
variance (calculation)
ANOVA/analysis of variance
Learn the shape of different distributions
49. Whether test really taps abstract concept being measured
statistically significant
Internal validity
Construct validity
One-way ANOVA
50. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Z-scores
mental age
Charles Spearmen
Population & related