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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. 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
Vocational tests
Projective tests (+types)
Aptitude tests
range
2. 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
Curvilinear relationship
One-way ANOVA
Cross validation
3. The process of representing or analyzing numerical data
Meta-analysis
IQ Binet'S equation
frequency polygon
statistics
4. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Linear regression
independent variable
confounding variable
Internal-External Locus of Control Scale
5. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Donald Campbell and Donald Fiske
normal distribution(+characteristic)
Analysis of covariance (ANCOVA)
independent variable
6. Measures the extent to which items in a measure 'hang together' and test the same thing
Internal validity
Analysis of covariance (ANCOVA)
variance (calculation)
Q-sort/measure
7. Aims to match demographic characteristics to population (i.e. 50% female - etc)
between subject
within subject
Field study
stratified sampling
8. 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
Frequency distributions (+variables)
Donald Campbell and Donald Fiske
Empirical-keying or criterion-keying approach
Discrete data
9. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
within subject
Wechsler Adult Intelligence Scale (WAIS)
generalizability
Standard normal distributions
10. 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
Donald Campbell and Donald Fiske
Anne Anastasi
Hawthorne effect
11. 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
Charles Spearmen
T-test
Reactance
Central Tendency (types and distribution differences)
12. Mathematically combines and summarizes overall effects or findings for a topic; best known for consolidating effectiveness of psychotherapy - can calculate overall effect size or conclusion drawn from a collection of studies; needed when conflicting
Charles Spearmen
Spearman r correlation coefficient
Stanford-Binet Intelligence Scale
Meta-analysis
13. When people agree with opposing statements; giving tacit agreement
Acquiescence
Achievement tests
Wechsler Intelligence Scale for Children (WISC-R)
Crystallized intelligence
14. For ranks; determining the line that describes a linear relationship
Discrete data
Spearman r correlation coefficient
Longitudinal design
Null hypothesis
15. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
generalizability
statistically significant
Frequency distributions (+variables)
Spearman r correlation coefficient
16. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Validity (+types)
predictive value
Lie detector tests
Alpha levels
17. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Chi-square test
Content validity
Stanford-Binet Intelligence Scale
Scientific approach
18. Fluid intelligence declines with old age while crystallized intelligence does not
Statistical regression
Graphs (types)
John Horn and Raymond Cattell
Walter Mischel
19. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
social desirability
ordinal variables
Rosenzweig Picture-Frustration (P-F) Study
statistically significant
20. Every member of the population has an equal chance of being chosen for the sample
Cross validation
Criterion-referenced tests
random sampling
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
21. How stable measure is; test-retest - split-half
Reliability (+types)
confounding variable
statistically significant
within subject
22. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Standard normal distributions
Construct validity
Walter Mischel
Inferential statistics
23. Different subjects of different ages are compared - faster - easier
random sampling
cross-sectional design
ANOVA/analysis of variance
within subject
24. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Validity (+types)
Selective attrition
variance and standard deviation
Stanford-Binet Intelligence Scale
25. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
placebo
T-score
cohort-sequential design
statistically significant
26. How the score are spread out overall
placebo
Crystallized intelligence
Variability
independent variable
27. For children 6-16
T-score
Wechsler Intelligence Scale for Children (WISC-R)
Lie detector tests
Rosenzweig Picture-Frustration (P-F) Study
28. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Central Tendency (types and distribution differences)
Graphs (types)
variance and standard deviation
Draw-A-Person Test
29. Whether test really taps abstract concept being measured
Chi-square test
Construct validity
Nonequivalent control group
Z-scores
30. 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
Domain-referenced tests
mental age
Empirical-keying or criterion-keying approach
Curvilinear relationship
31. Tests the effects of two independent variables or treatment conditions at once
Aptitude tests
Internal-External Locus of Control Scale
Continuous data
Two-way ANOVA
32. 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
Myers-Brigg Type Indicator (MBTI)
Chi-square test
Rosenzweig Picture-Frustration (P-F) Study
predictive value
33. Combines longitudinal and cross-sectional approach
Discrete data
Correlational relationships
cohort-sequential design
standard error of mean
34. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
External validity (+types)
Fluid intelligence
interval variables
Reactance
35. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Field study
standard deviation (calculation)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
mode
36. Bell curve; larger the sample - greater chance of having a normal distribution
quasi-experimental design
research design
normal distribution(+characteristic)
Reactance
37. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Draw-A-Person Test
bar graph
Variability
double-blind experiment
38. Measure how well you know a subject - measure past learning
Longitudinal design
Achievement tests
mental age
Acquiescence
39. 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
ordinal variables
Type I and II errors
histogram
variance and standard deviation
40. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
Alfred Binet
research design
California Personality Inventory (CPI)
confounding variable
41. Knowing how to do something
Goodenough Draw-A-Man Test
generalizability
Fluid intelligence
Correlational relationships
42. 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
Correlational relationships
Thematic Apperception Test (TAT)
generalizability
normal distribution(+characteristic)
43. When subjects act in ways they think experimenter wants or expects
nominal variables
Crystallized intelligence
Demand characteristic
Chi-square test
44. 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 -
Chi-square test
Split-half reliability
interval variables
generalizability
45. Knowing a fact
Mean IQ
Crystallized intelligence
mode
Experimental design
46. 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
Empirical-keying or criterion-keying approach
T-score
Hawthorne effect
Mean IQ
47. Measure innate ability to learn (debatable) - to predict later performance
Aptitude tests
Analysis of covariance (ANCOVA)
Scientific approach
Vocational tests
48. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Field study
Illusory correlation
Frequency distributions (+variables)
Statistical regression
49. Have order - equal intervals and a real zero ex: age
Goodenough Draw-A-Man Test
percentiles
ratio variables
Factorial analysis of variance
50. 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
John Horn and Raymond Cattell
Correlational relationships
independent variable
Rotter Incomplete Sentence Blank