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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. When subjects act in ways they think experimenter wants or expects
research design
Bayley Scales of Infant Development
One-way ANOVA
Demand characteristic
2. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Rosenzweig Picture-Frustration (P-F) Study
Content validity
Meta-analysis
Julian Rotter
3. 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
Intelligence
variance (calculation)
bar graph
Reactance
4. Tests the effects of two independent variables or treatment conditions at once
Validity (+types)
double-blind experiment
Descriptive statistics (+types)
Two-way ANOVA
5. 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%
Experimental design
Graphs (types)
Percentages under normal distribution based on SDs (from mean to end)
quasi-experimental design
6. Used most commonly on standardized test
percentiles
One-way ANOVA
interval variables
Lewis Terman
7. For even number of values in the set - take the average of the two middle value
Scientific approach
median
social desirability
Criterion-referenced tests
8. (Mental age/chronological age)/100 - Highest age = 16
9. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Charles Spearmen
IQ Binet'S equation
Draw-A-Person Test
standard deviation (calculation)
10. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
statistics
placebo effect
variance (calculation)
11. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Domain-referenced tests
percentiles
predictive value
Validity (+types)
12. Created multitrait-multimethod technique to determine validity of tests
Myers-Brigg Type Indicator (MBTI)
Donald Campbell and Donald Fiske
California Personality Inventory (CPI)
Linear regression
13. Developed concept of IQ and first intelligence test (Binet Scale)
statistically significant
Rotter Incomplete Sentence Blank
Alfred Binet
Donald Campbell and Donald Fiske
14. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Statistical regression
Meta-analysis
T-score
Lewis Terman
15. Does not control - but examines how independent variable affects it
Meta-analysis
generalizability
Descriptive statistics (+types)
dependent variable
16. Compares 2 groups of people at the same time point
between subject
Objective tests (+types)
Rosenthal effect
Acquiescence
17. 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
Variability
Factorial analysis of variance
Discrete data
Selective attrition
18. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Empirical-keying or criterion-keying approach
Variability
Rosenzweig Picture-Frustration (P-F) Study
Graphs (types)
19. 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 -
Experimenter bias
ordinal variables
Percentages under normal distribution based on SDs (from mean to end)
Chi-square test
20. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
Lie detector tests
Cross validation
T-test
21. 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
Lewis Terman
Mean IQ
Null hypothesis
F-scale or F-ratio
22. Not IQ - It is unlikely IQ captures all facets of it
Variability
cohort effect
Intelligence
Item analysis (reliability)
23. For ranks; determining the line that describes a linear relationship
Charles Spearmen
Hawthorne effect
Robert Zajonc
Spearman r correlation coefficient
24. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Linear regression
Word Association Test
Beck Depression Inventory (BDI)
Alfred Binet
25. The hypothesis that no real differences or pattern exist
Field study
Julian Rotter
placebo effect
Null hypothesis
26. Mean (standard error of mean) - median mode; normal and platykuric: equal; positively skewed: mode - med - mean; negatively skewed: mean - med - mode; bimodal: equal mean and med - 2 modes
percentiles
Type I and II errors
random sampling
Central Tendency (types and distribution differences)
27. Measures the extent to which items in a measure 'hang together' and test the same thing
Population & related
Standard normal distributions
Internal validity
median
28. 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
Walter Mischel
Empirical-keying or criterion-keying approach
random sampling
Bayley Scales of Infant Development
29. Knowing a fact
Illusory correlation
Reactance
Crystallized intelligence
Rotter Incomplete Sentence Blank
30. Knowing how to do something
Scientific approach
T-test
Fluid intelligence
Factorial analysis of variance
31. Whether test items look like they measure the construct
Walter Mischel
Face validity
External validity (+types)
Achievement tests
32. Bell curve; larger the sample - greater chance of having a normal distribution
normal distribution(+characteristic)
random sampling
Content validity
Statistical regression
33. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Correlational relationships
Aptitude tests
Acquiescence
Projective tests (+types)
34. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Cross validation
statistically significant
generalizability
Factorial analysis of variance
35. Draw a person of each sex and tell a story about them
cohort-sequential design
Draw-A-Person Test
California Personality Inventory (CPI)
Variability
36. Whether test really taps abstract concept being measured
Construct validity
Split-half reliability
ANOVA/analysis of variance
median
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
Empirical-keying or criterion-keying approach
Reliability (+types)
percentiles
Reactance
38. 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
Donald Campbell and Donald Fiske
Descriptive statistics (+types)
Bayley Scales of Infant Development
Beck Depression Inventory (BDI)
39. 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%
Alpha levels
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Validity (+types)
Thematic Apperception Test (TAT)
40. 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
Experimental design
California Personality Inventory (CPI)
independent variable
Hawthorne effect
41. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Rorschach Inkblot Test
cohort-sequential design
Bayley Scales of Infant Development
Test-retest reliability
42. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Rorschach Inkblot Test
statistically significant
Correlational relationships
Wechsler Adult Intelligence Scale (WAIS)
43. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Anne Anastasi
Experimenter bias
variance (calculation)
Experimental design
44. Combines longitudinal and cross-sectional approach
Pearson r correlation coefficient
Cross validation
cohort-sequential design
histogram
45. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Factorial analysis of variance
Lie detector tests
External validity (+types)
normal distribution(+characteristic)
46. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
cross-sectional design
Rosenthal effect
interval variables
Nonequivalent control group
47. Originally used with free association techniques; word called out - subject says next word in mind
Word Association Test
statistically significant
Achievement tests
Inferential statistics
48. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Vocational tests
T-score
Walter Mischel
Test-retest reliability
49. 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
social desirability
Null hypothesis
Variability
Aptitude tests
50. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Statistical regression
Split-half reliability
Two-way ANOVA
John Horn and Raymond Cattell