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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. 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
ANOVA/analysis of variance
Two-way ANOVA
One-way ANOVA
2. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Graphs (types)
Scientific approach
bar graph
Frequency distributions (+variables)
3. Measure of fascism or authoritarian personality
F-scale or F-ratio
cohort effect
Beck Depression Inventory (BDI)
placebo effect
4. Originally used with free association techniques; word called out - subject says next word in mind
nominal variables
Curvilinear relationship
between subject
Word Association Test
5. Fluid intelligence declines with old age while crystallized intelligence does not
John Horn and Raymond Cattell
variance (calculation)
Vocational tests
Stanford-Binet Intelligence Scale
6. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Projective tests (+types)
double-blind experiment
Discrete data
Beck Depression Inventory (BDI)
7. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Charles Spearmen
Minnesota Multiphasic Personality Inventory (MMPI)
Validity (+types)
range
8. Assess extent interests and strengths match those found by professionals in a particular job field
Variability
Discrete data
Vocational tests
Statistical regression
9. 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
cross-sectional design
Rorschach Inkblot Test
Linear regression
confounding variable
10. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Statistical regression
Lewis Terman
Null hypothesis
California Personality Inventory (CPI)
11. Knowing a fact
Graphs (types)
ratio variables
Rotter Incomplete Sentence Blank
Crystallized intelligence
12. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Rorschach Inkblot Test
Q-sort/measure
quasi-experimental design
Pearson r correlation coefficient
13. 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)
Internal validity
Chi-square test
cohort-sequential design
14. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Strong-Campbell Interest Inventory
ordinal variables
Myers-Brigg Type Indicator (MBTI)
Analysis of covariance (ANCOVA)
15. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
T-score
standard deviation (calculation)
Aptitude tests
Field study
16. Whether content covers a good sample of construct being measured
Content validity
Q-sort/measure
Illusory correlation
generalizability
17. Aims to match demographic characteristics to population (i.e. 50% female - etc)
histogram
Demand characteristic
stratified sampling
Achievement tests
18. Consist of vertical bars in which the sides of the vertical bars touch - useful for discrete variables that have clear boundaries - interval variables in which there is some order
stratified sampling
placebo
histogram
Longitudinal design
19. For even number of values in the set - take the average of the two middle value
Internal validity
Analysis of covariance (ANCOVA)
Standard normal distributions
median
20. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Beck Depression Inventory (BDI)
Lewis Terman
Face validity
standard deviation (calculation)
21. Attempts to eliminate/minimize these - variables in the environment that might also effect the dependent variable and blue the effect of independent variable on the dependent variable
Concurrent validity
confounding variable
Analysis of covariance (ANCOVA)
Variability
22. Process in testing concurrent validity
Internal validity
Chi-square test
Cross validation
mode
23. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Charles Spearmen
Scientific approach
Aptitude tests
24. 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
Selective attrition
External validity (+types)
T-test
Inferential statistics
25. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Validity (+types)
Alpha levels
California Personality Inventory (CPI)
Rorschach Inkblot Test
26. Similar to word association - finish incomplete sentences
generalizability
Descriptive statistics (+types)
Acquiescence
Rotter Incomplete Sentence Blank
27. Combines longitudinal and cross-sectional approach
quasi-experimental design
F-scale or F-ratio
cohort-sequential design
Bayley Scales of Infant Development
28. 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
mental age
Curvilinear relationship
Rorschach Inkblot Test
Selective attrition
29. The degree to which the result from an experiment can be applied to the population and the real world
Criterion-referenced tests
independent variable
generalizability
Goodenough Draw-A-Man Test
30. 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
Graphs (types)
Wechsler Intelligence Scale for Children (WISC-R)
quasi-experimental design
Aptitude tests
31. 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
statistically significant
independent variable
Reactance
Longitudinal design
32. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
normal distribution(+characteristic)
Rotter Incomplete Sentence Blank
placebo
Bayley Scales of Infant Development
33. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Projective tests (+types)
bar graph
T-test
Analysis of covariance (ANCOVA)
34. Experimenter bias; researchers see what they want to see; minimized in double-blind
Objective tests (+types)
Rosenthal effect
Continuous data
mental age
35. The hypothesis that no real differences or pattern exist
Null hypothesis
External validity (+types)
Meta-analysis
Hawthorne effect
36. Sorting cards into a normal distribution; each has a different statement on it about personality; to one end is 'least like self' - other is 'most like self' - and middle is neutral; factor analysis to reduce viewpoints into a few factors
Wechsler Adult Intelligence Scale (WAIS)
Null hypothesis
Q-sort/measure
ratio variables
37. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
One-way ANOVA
Rorschach Inkblot Test
between subject
Experimental design
38. 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 -
Walter Mischel
Reactance
Scientific approach
Chi-square test
39. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
research design
Continuous data
Alpha levels
Z-scores
40. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Validity (+types)
confounding variable
quasi-experimental design
statistically significant
41. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Type I and II errors
Variability
confounding variable
Correlational relationships
42. Measures the extent to which items in a measure 'hang together' and test the same thing
Word Association Test
Reactance
Internal validity
ANOVA/analysis of variance
43. Tests the effects of two independent variables or treatment conditions at once
Wechsler Intelligence Scale for Children (WISC-R)
Two-way ANOVA
Nonequivalent control group
Graphs (types)
44. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Strong-Campbell Interest Inventory
Descriptive statistics (+types)
Test-retest reliability
ordinal variables
45. (Mental age/chronological age)/100 - Highest age = 16
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46. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Walter Mischel
Face validity
ratio variables
External validity (+types)
47. 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
interval variables
Robert Zajonc
Statistical regression
48. There is a general factor in intelligence 'g'
standard deviation (calculation)
Construct validity
Charles Spearmen
Hawthorne effect
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
Statistical regression
Criterion-referenced tests
Vocational tests
social desirability
50. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
placebo effect
Two-way ANOVA
Cross validation
Lie detector tests