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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. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Scientific approach
Null hypothesis
Variability
ratio variables
2. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Statistical regression
Empirical-keying or criterion-keying approach
bar graph
variance (calculation)
3. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
within subject
Goodenough Draw-A-Man Test
Rotter Incomplete Sentence Blank
4. 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
Illusory correlation
Beck Depression Inventory (BDI)
Rosenthal effect
Cross validation
5. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Learn the shape of different distributions
Correlational relationships
frequency polygon
placebo
6. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Donald Campbell and Donald Fiske
Test-retest reliability
Type I and II errors
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
7. 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
Linear regression
Hawthorne effect
Thematic Apperception Test (TAT)
John Horn and Raymond Cattell
8. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Aptitude tests
Alfred Binet
Analysis of covariance (ANCOVA)
ordinal variables
9. Every member of the population has an equal chance of being chosen for the sample
random sampling
Construct validity
Goodenough Draw-A-Man Test
Intelligence
10. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Myers-Brigg Type Indicator (MBTI)
random sampling
nominal variables
Field study
11. Not IQ - It is unlikely IQ captures all facets of it
range
Stanford-Binet Intelligence Scale
Intelligence
Mean IQ
12. Used most commonly on standardized test
Face validity
Experimental design
percentiles
Lie detector tests
13. Originally used with free association techniques; word called out - subject says next word in mind
Draw-A-Person Test
Face validity
generalizability
Word Association Test
14. 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)
independent variable
Criterion-referenced tests
Lie detector tests
15. 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
Statistical regression
independent variable
Learn the shape of different distributions
Wechsler Adult Intelligence Scale (WAIS)
16. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Frequency distributions (+variables)
ordinal variables
Domain-referenced tests
Projective tests (+types)
17. Measures the extent to which items in a measure 'hang together' and test the same thing
Hawthorne effect
within subject
Internal validity
standard error of mean
18. 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
Aptitude tests
Split-half reliability
Population & related
Goodenough Draw-A-Man Test
19. The effect that might result when a group is born and raised in a particular time period
cohort effect
Wechsler Adult Intelligence Scale (WAIS)
External validity (+types)
Alpha levels
20. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Experimenter bias
range
Variability
Concurrent validity
21. 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%
mental age
Alpha levels
Wechsler Intelligence Scale for Children (WISC-R)
statistics
22. Process in testing concurrent validity
cross-sectional design
range
double-blind experiment
Cross validation
23. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
variance and standard deviation
Wechsler Adult Intelligence Scale (WAIS)
Rorschach Inkblot Test
24. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Null hypothesis
John Horn and Raymond Cattell
cross-sectional design
Split-half reliability
25. For ranks; determining the line that describes a linear relationship
Achievement tests
Lie detector tests
Item analysis (reliability)
Spearman r correlation coefficient
26. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Correlational relationships
Factorial analysis of variance
Rosenzweig Picture-Frustration (P-F) Study
Statistical regression
27. 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
Descriptive statistics (+types)
Demand characteristic
standard error of mean
Reactance
28. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimenter bias
Reactance
dependent variable
Stanford-Binet Intelligence Scale
29. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Strong-Campbell Interest Inventory
Field study
Discrete data
Z-scores
30. The process of representing or analyzing numerical data
variance and standard deviation
statistics
Robert Zajonc
Linear regression
31. When subjects that drop out are different than those that remain; no longer random
Alpha levels
Selective attrition
Objective tests (+types)
Anne Anastasi
32. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Experimenter bias
Validity (+types)
F-scale or F-ratio
Longitudinal design
33. Whether test items look like they measure the construct
Scientific approach
Objective tests (+types)
Concurrent validity
Face validity
34. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Hawthorne effect
Lewis Terman
Anne Anastasi
Rosenzweig Picture-Frustration (P-F) Study
35. Knowing a fact
Crystallized intelligence
Aptitude tests
ordinal variables
Two-way ANOVA
36. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
John Horn and Raymond Cattell
Achievement tests
Longitudinal design
37. Internal-External Locus of Control Scale
Julian Rotter
Scientific approach
between subject
social desirability
38. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Factorial analysis of variance
Domain-referenced tests
histogram
Standard normal distributions
39. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
placebo
nominal variables
T-score
predictive value
40. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Face validity
nominal variables
Rotter Incomplete Sentence Blank
variance and standard deviation
41. Measure how well you know a subject - measure past learning
Achievement tests
Split-half reliability
nominal variables
Correlational relationships
42. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Internal validity
One-way ANOVA
ordinal variables
Intelligence
43. 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
between subject
Julian Rotter
Learn the shape of different distributions
Discrete data
44. Tests the same person at multiple time points and looks at changes within that person
Rotter Incomplete Sentence Blank
T-score
within subject
Split-half reliability
45. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
Face validity
One-way ANOVA
Criterion-referenced tests
46. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Z-scores
Analysis of covariance (ANCOVA)
normal distribution(+characteristic)
standard deviation (calculation)
47. How stable measure is; test-retest - split-half
Internal validity
Experimental design
Reliability (+types)
Robert Zajonc
48. Measure mastery in a particular area (e.g. final exam)
Achievement tests
Lie detector tests
Criterion-referenced tests
Rotter Incomplete Sentence Blank
49. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Statistical regression
double-blind experiment
Central Tendency (types and distribution differences)
Graphs (types)
50. Compares 2 groups of people at the same time point
histogram
between subject
Concurrent validity
Cross validation