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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. Different subjects of different ages are compared - faster - easier
Content validity
Reactance
normal distribution(+characteristic)
cross-sectional design
2. Like a histogram except that the vertical bars do not touch - various columns are separated by space
John Horn and Raymond Cattell
Cross validation
statistically significant
bar graph
3. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
cross-sectional design
Type I and II errors
One-way ANOVA
cohort-sequential design
4. Similar to word association - finish incomplete sentences
Internal validity
Rosenthal effect
Rotter Incomplete Sentence Blank
Discrete data
5. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
social desirability
stratified sampling
placebo
Strong-Campbell Interest Inventory
6. Measured by the same individual taking the same test more than once
Test-retest reliability
Donald Campbell and Donald Fiske
statistics
Mean IQ
7. Subjects alter behaviour because they are being observed
generalizability
Criterion-referenced tests
Hawthorne effect
confounding variable
8. Originally used with free association techniques; word called out - subject says next word in mind
Objective tests (+types)
Learn the shape of different distributions
Word Association Test
Fluid intelligence
9. 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%
Word Association Test
Type I and II errors
Alpha levels
Myers-Brigg Type Indicator (MBTI)
10. 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
Projective tests (+types)
California Personality Inventory (CPI)
variance and standard deviation
statistics
11. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Test-retest reliability
Rosenzweig Picture-Frustration (P-F) Study
Cross validation
Internal-External Locus of Control Scale
12. Calculates how off the mean might be in either direction
Internal validity
Split-half reliability
standard error of mean
Type I and II errors
13. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Rorschach Inkblot Test
Demand characteristic
Longitudinal design
T-test
14. The hypothesis that no real differences or pattern exist
Null hypothesis
Two-way ANOVA
nominal variables
Learn the shape of different distributions
15. Measure innate ability to learn (debatable) - to predict later performance
mode
Percentages under normal distribution based on SDs (from mean to end)
Aptitude tests
Population & related
16. When subject behave differently just because they thing that they have received the treatment substance or condition
generalizability
Correlational relationships
placebo effect
Demand characteristic
17. Does not control - but examines how independent variable affects it
standard error of mean
Stanford-Binet Intelligence Scale
dependent variable
Selective attrition
18. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
External validity (+types)
between subject
Wechsler Adult Intelligence Scale (WAIS)
19. Knowing how to do something
Type I and II errors
Fluid intelligence
Reliability (+types)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
20. The degree to which the result from an experiment can be applied to the population and the real world
Julian Rotter
John Horn and Raymond Cattell
generalizability
Demand characteristic
21. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
California Personality Inventory (CPI)
Donald Campbell and Donald Fiske
quasi-experimental design
Experimental design
22. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Statistical regression
cross-sectional design
Concurrent validity
dependent variable
23. Measure how well you know a subject - measure past learning
Q-sort/measure
Achievement tests
Alfred Binet
Discrete data
24. (Mental age/chronological age)/100 - Highest age = 16
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25. 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
mode
Analysis of covariance (ANCOVA)
Domain-referenced tests
Central Tendency (types and distribution differences)
26. Tests the effects of two independent variables or treatment conditions at once
Alfred Binet
Two-way ANOVA
quasi-experimental design
Nonequivalent control group
27. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
cohort-sequential design
Demand characteristic
Pearson r correlation coefficient
Empirical-keying or criterion-keying approach
28. Used when equivalent one cannot be isolated
Nonequivalent control group
Bayley Scales of Infant Development
F-scale or F-ratio
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
29. How the score are spread out overall
Two-way ANOVA
Analysis of covariance (ANCOVA)
Variability
Rorschach Inkblot Test
30. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Myers-Brigg Type Indicator (MBTI)
double-blind experiment
Spearman r correlation coefficient
California Personality Inventory (CPI)
31. Rosenthal effect; researchers see what they want to see; minimized in double-blind
F-scale or F-ratio
standard deviation (calculation)
Draw-A-Person Test
Experimenter bias
32. 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
Intelligence
Experimental design
Test-retest reliability
Goodenough Draw-A-Man Test
33. For ranks; determining the line that describes a linear relationship
Spearman r correlation coefficient
Cross validation
predictive value
Vocational tests
34. Developed concept of IQ and first intelligence test (Binet Scale)
Beck Depression Inventory (BDI)
Alfred Binet
Reactance
Pearson r correlation coefficient
35. Not simple and linear - looks like a curved line - ex: arousal and perfomance - high A --> low P - Low A --> low P - medium A --> high P
placebo
Curvilinear relationship
Word Association Test
F-scale or F-ratio
36. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
dependent variable
Intelligence
social desirability
Graphs (types)
37. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
cohort-sequential design
Internal-External Locus of Control Scale
Type I and II errors
Alfred Binet
38. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Crystallized intelligence
Type I and II errors
generalizability
Wechsler Adult Intelligence Scale (WAIS)
39. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
histogram
Rorschach Inkblot Test
placebo
Variability
40. Compares 2 groups of people at the same time point
between subject
Julian Rotter
Content validity
John Horn and Raymond Cattell
41. 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
T-test
Construct validity
variance (calculation)
bar graph
42. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Rosenzweig Picture-Frustration (P-F) Study
External validity (+types)
Lewis Terman
Criterion-referenced tests
43. 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
Mean IQ
mental age
independent variable
Curvilinear relationship
44. 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
independent variable
Descriptive statistics (+types)
Central Tendency (types and distribution differences)
standard deviation (calculation)
45. Whether test really taps abstract concept being measured
Percentages under normal distribution based on SDs (from mean to end)
F-scale or F-ratio
Construct validity
range
46. 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
Strong-Campbell Interest Inventory
Curvilinear relationship
quasi-experimental design
Experimenter bias
47. How much variation there is among n number of scores in a distribution
variance and standard deviation
social desirability
Internal validity
Julian Rotter
48. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Intelligence
Strong-Campbell Interest Inventory
normal distribution(+characteristic)
Rotter Incomplete Sentence Blank
49. Whether content covers a good sample of construct being measured
Concurrent validity
Content validity
California Personality Inventory (CPI)
One-way ANOVA
50. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Learn the shape of different distributions
Analysis of covariance (ANCOVA)
Validity (+types)
Goodenough Draw-A-Man Test