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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. How stable measure is; test-retest - split-half
confounding variable
Crystallized intelligence
Graphs (types)
Reliability (+types)
2. 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
Descriptive statistics (+types)
Rosenzweig Picture-Frustration (P-F) Study
ratio variables
Central Tendency (types and distribution differences)
3. 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
Scientific approach
Longitudinal design
variance (calculation)
Thematic Apperception Test (TAT)
4. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Mean IQ
cross-sectional design
Selective attrition
Rosenzweig Picture-Frustration (P-F) Study
5. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Chi-square test
cohort-sequential design
Linear regression
Rorschach Inkblot Test
6. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
predictive value
mode
Population & related
Z-scores
7. Developed concept of IQ and first intelligence test (Binet Scale)
ANOVA/analysis of variance
Alfred Binet
variance and standard deviation
Experimental design
8. Used most commonly on standardized test
Fluid intelligence
percentiles
Variability
social desirability
9. 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)
Draw-A-Person Test
Curvilinear relationship
Crystallized intelligence
10. 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
Curvilinear relationship
double-blind experiment
Stanford-Binet Intelligence Scale
mode
11. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Thematic Apperception Test (TAT)
double-blind experiment
bar graph
cohort effect
12. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
External validity (+types)
Analysis of covariance (ANCOVA)
Learn the shape of different distributions
confounding variable
13. When subjects that drop out are different than those that remain; no longer random
frequency polygon
Selective attrition
Descriptive statistics (+types)
bar graph
14. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
dependent variable
Factorial analysis of variance
Beck Depression Inventory (BDI)
Achievement tests
15. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Learn the shape of different distributions
standard error of mean
Beck Depression Inventory (BDI)
Longitudinal design
16. The effect that might result when a group is born and raised in a particular time period
range
cohort effect
Experimental design
Continuous data
17. Have order - equal intervals and a real zero ex: age
Standard normal distributions
ratio variables
Face validity
ordinal variables
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
Objective tests (+types)
Mean IQ
Walter Mischel
histogram
19. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Construct validity
Stanford-Binet Intelligence Scale
Demand characteristic
Longitudinal design
20. Originally used with free association techniques; word called out - subject says next word in mind
Word Association Test
Lewis Terman
Rosenzweig Picture-Frustration (P-F) Study
Internal validity
21. Measure how well you know a subject - measure past learning
Goodenough Draw-A-Man Test
statistically significant
Achievement tests
Beck Depression Inventory (BDI)
22. Subjects alter behaviour because they are being observed
Content validity
Correlational relationships
Hawthorne effect
Split-half reliability
23. Bell curve; larger the sample - greater chance of having a normal distribution
normal distribution(+characteristic)
Alfred Binet
Robert Zajonc
T-score
24. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Analysis of covariance (ANCOVA)
standard deviation (calculation)
Frequency distributions (+variables)
Alpha levels
25. Fluid intelligence declines with old age while crystallized intelligence does not
John Horn and Raymond Cattell
Stanford-Binet Intelligence Scale
Julian Rotter
Null hypothesis
26. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
frequency polygon
John Horn and Raymond Cattell
Cross validation
Aptitude tests
27. The degree to which the result from an experiment can be applied to the population and the real world
Hawthorne effect
Draw-A-Person Test
Rorschach Inkblot Test
generalizability
28. Knowing how to do something
Fluid intelligence
Alfred Binet
confounding variable
Demand characteristic
29. 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
Goodenough Draw-A-Man Test
One-way ANOVA
Standard normal distributions
cross-sectional design
30. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type
Objective tests (+types)
Rosenzweig Picture-Frustration (P-F) Study
Inferential statistics
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
31. 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
nominal variables
Linear regression
confounding variable
frequency polygon
32. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
interval variables
Graphs (types)
bar graph
Variability
33. Does not control - but examines how independent variable affects it
Percentages under normal distribution based on SDs (from mean to end)
Intelligence
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
dependent variable
34. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Julian Rotter
Anne Anastasi
Achievement tests
research design
35. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Curvilinear relationship
Pearson r correlation coefficient
T-test
Stanford-Binet Intelligence Scale
36. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Item analysis (reliability)
between subject
External validity (+types)
Projective tests (+types)
37. Internal-External Locus of Control Scale
ratio variables
Criterion-referenced tests
Field study
Julian Rotter
38. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Empirical-keying or criterion-keying approach
Statistical regression
Graphs (types)
Myers-Brigg Type Indicator (MBTI)
39. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
Curvilinear relationship
Lewis Terman
Bayley Scales of Infant Development
40. Created multitrait-multimethod technique to determine validity of tests
Donald Campbell and Donald Fiske
Internal validity
Rosenthal effect
Wechsler Intelligence Scale for Children (WISC-R)
41. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
Spearman r correlation coefficient
research design
cohort effect
California Personality Inventory (CPI)
42. For children 4-6
Reactance
Julian Rotter
Illusory correlation
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
43. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
John Horn and Raymond Cattell
generalizability
histogram
Inferential statistics
44. 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
Stanford-Binet Intelligence Scale
Criterion-referenced tests
Mean IQ
Illusory correlation
45. 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
random sampling
Q-sort/measure
Empirical-keying or criterion-keying approach
Objective tests (+types)
46. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
mental age
Donald Campbell and Donald Fiske
Lewis Terman
Population & related
47. How much variation there is among n number of scores in a distribution
variance and standard deviation
Frequency distributions (+variables)
Rosenthal effect
Lie detector tests
48. Experimenter bias; researchers see what they want to see; minimized in double-blind
frequency polygon
Robert Zajonc
Reactance
Rosenthal effect
49. Tests the same person at multiple time points and looks at changes within that person
within subject
Reactance
ANOVA/analysis of variance
Descriptive statistics (+types)
50. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
nominal variables
Word Association Test
Robert Zajonc
Bayley Scales of Infant Development