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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. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Minnesota Multiphasic Personality Inventory (MMPI)
Nonequivalent control group
Statistical regression
predictive value
2. The process of representing or analyzing numerical data
Julian Rotter
ordinal variables
statistics
Cross validation
3. When subjects act in ways they think experimenter wants or expects
Demand characteristic
Goodenough Draw-A-Man Test
confounding variable
research design
4. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Graphs (types)
standard deviation (calculation)
One-way ANOVA
5. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Meta-analysis
Type I and II errors
Percentages under normal distribution based on SDs (from mean to end)
Experimental design
6. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Lie detector tests
Learn the shape of different distributions
Crystallized intelligence
T-test
7. 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
Demand characteristic
histogram
dependent variable
Wechsler Intelligence Scale for Children (WISC-R)
8. Internal-External Locus of Control Scale
Nonequivalent control group
Internal validity
Julian Rotter
double-blind experiment
9. Not IQ - It is unlikely IQ captures all facets of it
Variability
interval variables
Intelligence
Word Association Test
10. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Fluid intelligence
bar graph
Selective attrition
Field study
11. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
between subject
frequency polygon
double-blind experiment
mental age
12. The effect that might result when a group is born and raised in a particular time period
Pearson r correlation coefficient
research design
Face validity
cohort effect
13. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
cohort effect
F-scale or F-ratio
Acquiescence
ordinal variables
14. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Illusory correlation
Graphs (types)
T-score
interval variables
15. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Linear regression
External validity (+types)
generalizability
Hawthorne effect
16. Tests the effects of two independent variables or treatment conditions at once
quasi-experimental design
F-scale or F-ratio
range
Two-way ANOVA
17. For children 4-6
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Inferential statistics
standard error of mean
Experimenter bias
18. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Lie detector tests
Analysis of covariance (ANCOVA)
Rorschach Inkblot Test
dependent variable
19. 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
Rotter Incomplete Sentence Blank
Q-sort/measure
Pearson r correlation coefficient
social desirability
20. Measure mastery in a particular area (e.g. final exam)
Thematic Apperception Test (TAT)
range
standard deviation (calculation)
Criterion-referenced tests
21. Measure innate ability to learn (debatable) - to predict later performance
Discrete data
statistics
Fluid intelligence
Aptitude tests
22. When subject behave differently just because they thing that they have received the treatment substance or condition
Split-half reliability
placebo
Rosenzweig Picture-Frustration (P-F) Study
placebo effect
23. 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
interval variables
Strong-Campbell Interest Inventory
Reactance
Pearson r correlation coefficient
24. Process in testing concurrent validity
histogram
Descriptive statistics (+types)
Cross validation
frequency polygon
25. Originally to determine mental illness - now for personality; more clinical than CPI; 550 T/F/unsure questions (e.g. 'I would like to ride a horse'); discriminates between disorders; high validity because highly discriminatory items and 3 validity sc
Minnesota Multiphasic Personality Inventory (MMPI)
random sampling
Goodenough Draw-A-Man Test
standard error of mean
26. Calculates how off the mean might be in either direction
Frequency distributions (+variables)
Acquiescence
standard error of mean
frequency polygon
27. For children 6-16
Crystallized intelligence
Draw-A-Person Test
Beck Depression Inventory (BDI)
Wechsler Intelligence Scale for Children (WISC-R)
28. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Standard normal distributions
External validity (+types)
T-score
Aptitude tests
29. For even number of values in the set - take the average of the two middle value
Aptitude tests
California Personality Inventory (CPI)
predictive value
median
30. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Fluid intelligence
predictive value
California Personality Inventory (CPI)
Frequency distributions (+variables)
31. Have order - equal intervals and a real zero ex: age
Mean IQ
Population & related
Anne Anastasi
ratio variables
32. 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
Discrete data
Field study
statistics
External validity (+types)
33. 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
Beck Depression Inventory (BDI)
Meta-analysis
Alfred Binet
Donald Campbell and Donald Fiske
34. Similar to word association - finish incomplete sentences
Rotter Incomplete Sentence Blank
Statistical regression
cross-sectional design
Rorschach Inkblot Test
35. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
External validity (+types)
frequency polygon
Inferential statistics
independent variable
36. Experimenter bias; researchers see what they want to see; minimized in double-blind
Curvilinear relationship
Concurrent validity
Rosenthal effect
Projective tests (+types)
37. Draw a person of each sex and tell a story about them
Mean IQ
External validity (+types)
double-blind experiment
Draw-A-Person Test
38. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Domain-referenced tests
statistically significant
Statistical regression
External validity (+types)
39. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Reactance
Rosenzweig Picture-Frustration (P-F) Study
stratified sampling
Julian Rotter
40. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Central Tendency (types and distribution differences)
Strong-Campbell Interest Inventory
predictive value
Julian Rotter
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
Meta-analysis
Statistical regression
Crystallized intelligence
variance (calculation)
42. When subjects that drop out are different than those that remain; no longer random
Rosenzweig Picture-Frustration (P-F) Study
Crystallized intelligence
Anne Anastasi
Selective attrition
43. Compares 2 groups of people at the same time point
Field study
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
F-scale or F-ratio
between subject
44. The degree to which an independent variable can predict a dependent variable
predictive value
social desirability
IQ Binet'S equation
Word Association Test
45. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
John Horn and Raymond Cattell
Projective tests (+types)
Two-way ANOVA
Rosenzweig Picture-Frustration (P-F) Study
46. 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
Criterion-referenced tests
Donald Campbell and Donald Fiske
Thematic Apperception Test (TAT)
Face validity
47. Different subjects of different ages are compared - faster - easier
cross-sectional design
F-scale or F-ratio
Variability
ANOVA/analysis of variance
48. 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
random sampling
Linear regression
cross-sectional design
Objective tests (+types)
49. 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
Item analysis (reliability)
Descriptive statistics (+types)
median
Frequency distributions (+variables)
50. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
research design
dependent variable
ratio variables
random sampling