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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. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Chi-square test
Empirical-keying or criterion-keying approach
Internal-External Locus of Control Scale
Scientific approach
2. 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
Standard normal distributions
confounding variable
California Personality Inventory (CPI)
Factorial analysis of variance
3. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
nominal variables
Hawthorne effect
Variability
4. 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
Discrete data
Nonequivalent control group
Thematic Apperception Test (TAT)
Crystallized intelligence
5. 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
ratio variables
Inferential statistics
variance and standard deviation
variance (calculation)
6. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Nonequivalent control group
Experimenter bias
Charles Spearmen
Crystallized intelligence
7. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Rosenzweig Picture-Frustration (P-F) Study
cross-sectional design
nominal variables
Concurrent validity
8. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
percentiles
Experimental design
histogram
Null hypothesis
9. The degree to which an independent variable can predict a dependent variable
Type I and II errors
Draw-A-Person Test
predictive value
Stanford-Binet Intelligence Scale
10. Created multitrait-multimethod technique to determine validity of tests
Statistical regression
bar graph
Donald Campbell and Donald Fiske
standard error of mean
11. 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
Central Tendency (types and distribution differences)
Discrete data
Reactance
quasi-experimental design
12. Measure how well you know a subject - measure past learning
Julian Rotter
IQ Binet'S equation
Achievement tests
Reliability (+types)
13. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Central Tendency (types and distribution differences)
variance (calculation)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Z-scores
14. 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
histogram
statistically significant
One-way ANOVA
Face validity
15. Assess extent interests and strengths match those found by professionals in a particular job field
Split-half reliability
Curvilinear relationship
Vocational tests
ratio variables
16. 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
Variability
Mean IQ
California Personality Inventory (CPI)
mental age
17. 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
Thematic Apperception Test (TAT)
Achievement tests
Q-sort/measure
generalizability
18. Different subjects of different ages are compared - faster - easier
Face validity
T-score
cross-sectional design
Variability
19. The degree to which the result from an experiment can be applied to the population and the real world
random sampling
within subject
statistics
generalizability
20. Like a histogram except that the vertical bars do not touch - various columns are separated by space
bar graph
mode
Achievement tests
Two-way ANOVA
21. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
cohort-sequential design
Null hypothesis
Lewis Terman
Nonequivalent control group
22. 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
Central Tendency (types and distribution differences)
cohort effect
mental age
Objective tests (+types)
23. Subjects alter behaviour because they are being observed
Discrete data
bar graph
Hawthorne effect
Demand characteristic
24. There is a general factor in intelligence 'g'
range
Construct validity
Charles Spearmen
T-test
25. For children 4-6
Face validity
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
bar graph
cohort-sequential design
26. 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
social desirability
independent variable
Minnesota Multiphasic Personality Inventory (MMPI)
cross-sectional design
27. How much variation there is among n number of scores in a distribution
variance and standard deviation
Type I and II errors
Intelligence
Julian Rotter
28. Used when equivalent one cannot be isolated
random sampling
Nonequivalent control group
Illusory correlation
Intelligence
29. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Rorschach Inkblot Test
Goodenough Draw-A-Man Test
Construct validity
Split-half reliability
30. The age level of a person'S functioning according to the IQ test
mental age
Central Tendency (types and distribution differences)
social desirability
Cross validation
31. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
statistics
Z-scores
double-blind experiment
Analysis of covariance (ANCOVA)
32. For ranks; determining the line that describes a linear relationship
Spearman r correlation coefficient
Internal-External Locus of Control Scale
Thematic Apperception Test (TAT)
IQ Binet'S equation
33. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Field study
normal distribution(+characteristic)
ratio variables
ANOVA/analysis of variance
34. Bell curve; larger the sample - greater chance of having a normal distribution
placebo effect
Achievement tests
Thematic Apperception Test (TAT)
normal distribution(+characteristic)
35. Similar to word association - finish incomplete sentences
Reactance
Statistical regression
Analysis of covariance (ANCOVA)
Rotter Incomplete Sentence Blank
36. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Stanford-Binet Intelligence Scale
Walter Mischel
Reliability (+types)
ratio variables
37. Knowing a fact
range
Crystallized intelligence
mental age
Content validity
38. Have order - equal intervals and a real zero ex: age
Julian Rotter
Nonequivalent control group
placebo
ratio variables
39. Compares 2 groups of people at the same time point
Empirical-keying or criterion-keying approach
Wechsler Intelligence Scale for Children (WISC-R)
between subject
Mean IQ
40. 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
quasi-experimental design
Wechsler Intelligence Scale for Children (WISC-R)
Frequency distributions (+variables)
Z-scores
41. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Fluid intelligence
Objective tests (+types)
External validity (+types)
Factorial analysis of variance
42. Measure of fascism or authoritarian personality
ratio variables
Wechsler Adult Intelligence Scale (WAIS)
F-scale or F-ratio
Discrete data
43. 34.13% - 13.59% - 2.02% - 0.26% and - +3 99.74% - +2 97.72% - +1 84.13% - 0 50.00% - -1 15.87% - -2 2.28% - -3 0.26%
Rorschach Inkblot Test
stratified sampling
Aptitude tests
Percentages under normal distribution based on SDs (from mean to end)
44. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Learn the shape of different distributions
Walter Mischel
Wechsler Adult Intelligence Scale (WAIS)
Strong-Campbell Interest Inventory
45. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Null hypothesis
within subject
Wechsler Adult Intelligence Scale (WAIS)
One-way ANOVA
46. Aims to match demographic characteristics to population (i.e. 50% female - etc)
stratified sampling
research design
variance and standard deviation
Bayley Scales of Infant Development
47. The effect that might result when a group is born and raised in a particular time period
T-test
Experimental design
cohort effect
Rosenzweig Picture-Frustration (P-F) Study
48. (Mental age/chronological age)/100 - Highest age = 16
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49. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
One-way ANOVA
ordinal variables
Alfred Binet
50. 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
quasi-experimental design
Content validity
Julian Rotter
Linear regression