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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
Start Test
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. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
One-way ANOVA
statistics
Field study
2. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Item analysis (reliability)
Experimenter bias
Analysis of covariance (ANCOVA)
Goodenough Draw-A-Man Test
3. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
research design
Lie detector tests
Inferential statistics
Stanford-Binet Intelligence Scale
4. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
ordinal variables
Face validity
Nonequivalent control group
Longitudinal design
5. 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
Domain-referenced tests
F-scale or F-ratio
Discrete data
Variability
6. Process in testing concurrent validity
Cross validation
Criterion-referenced tests
Chi-square test
bar graph
7. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Correlational relationships
Crystallized intelligence
interval variables
Experimenter bias
8. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
ANOVA/analysis of variance
research design
F-scale or F-ratio
median
9. The most frequently occurring value
mode
Reliability (+types)
Illusory correlation
John Horn and Raymond Cattell
10. Measure innate ability to learn (debatable) - to predict later performance
Robert Zajonc
Aptitude tests
Intelligence
Demand characteristic
11. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
double-blind experiment
statistically significant
Discrete data
Walter Mischel
12. Combines longitudinal and cross-sectional approach
normal distribution(+characteristic)
statistics
Variability
cohort-sequential design
13. How the score are spread out overall
Beck Depression Inventory (BDI)
Variability
Graphs (types)
variance and standard deviation
14. For even number of values in the set - take the average of the two middle value
T-test
median
Analysis of covariance (ANCOVA)
Illusory correlation
15. How much variation there is among n number of scores in a distribution
variance and standard deviation
Bayley Scales of Infant Development
variance (calculation)
Z-scores
16. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Spearman r correlation coefficient
Word Association Test
Curvilinear relationship
Longitudinal design
17. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Content validity
California Personality Inventory (CPI)
placebo
stratified sampling
18. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Variability
Alpha levels
variance and standard deviation
Robert Zajonc
19. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Type I and II errors
Empirical-keying or criterion-keying approach
double-blind experiment
standard deviation (calculation)
20. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Aptitude tests
interval variables
Anne Anastasi
dependent variable
21. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Population & related
Face validity
IQ Binet'S equation
Learn the shape of different distributions
22. 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
percentiles
Illusory correlation
social desirability
Goodenough Draw-A-Man Test
23. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Anne Anastasi
bar graph
Vocational tests
Beck Depression Inventory (BDI)
24. The effect that might result when a group is born and raised in a particular time period
cohort effect
Crystallized intelligence
Aptitude tests
nominal variables
25. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Type I and II errors
Split-half reliability
Q-sort/measure
Population & related
26. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
variance (calculation)
Item analysis (reliability)
Rosenzweig Picture-Frustration (P-F) Study
Inferential statistics
27. When subjects act in ways they think experimenter wants or expects
Population & related
Lie detector tests
Demand characteristic
cohort-sequential design
28. The age level of a person'S functioning according to the IQ test
Julian Rotter
Hawthorne effect
Acquiescence
mental age
29. (Mental age/chronological age)/100 - Highest age = 16
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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
Achievement tests
Test-retest reliability
ordinal variables
quasi-experimental design
31. 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
Wechsler Intelligence Scale for Children (WISC-R)
T-test
Acquiescence
T-score
32. 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
percentiles
Julian Rotter
independent variable
Type I and II errors
33. The degree to which an independent variable can predict a dependent variable
Discrete data
statistically significant
Learn the shape of different distributions
predictive value
34. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Walter Mischel
Graphs (types)
range
Criterion-referenced tests
35. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
John Horn and Raymond Cattell
Strong-Campbell Interest Inventory
Discrete data
Concurrent validity
36. The degree to which the result from an experiment can be applied to the population and the real world
generalizability
double-blind experiment
normal distribution(+characteristic)
Discrete data
37. 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
Spearman r correlation coefficient
Descriptive statistics (+types)
interval variables
Acquiescence
38. Whether test really taps abstract concept being measured
Word Association Test
statistically significant
Construct validity
IQ Binet'S equation
39. 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%
Meta-analysis
Percentages under normal distribution based on SDs (from mean to end)
Internal-External Locus of Control Scale
Factorial analysis of variance
40. Assess extent interests and strengths match those found by professionals in a particular job field
cross-sectional design
frequency polygon
Vocational tests
independent variable
41. Measure mastery in a particular area (e.g. final exam)
Criterion-referenced tests
ratio variables
Alfred Binet
median
42. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Scientific approach
Experimental design
Q-sort/measure
Domain-referenced tests
43. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Factorial analysis of variance
Field study
Construct validity
Test-retest reliability
44. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Vocational tests
ordinal variables
Construct validity
Concurrent validity
45. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Illusory correlation
statistically significant
placebo
standard deviation (calculation)
46. Whether content covers a good sample of construct being measured
Objective tests (+types)
Content validity
Wechsler Adult Intelligence Scale (WAIS)
independent variable
47. Fluid intelligence declines with old age while crystallized intelligence does not
confounding variable
Wechsler Intelligence Scale for Children (WISC-R)
John Horn and Raymond Cattell
bar graph
48. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
Intelligence
Donald Campbell and Donald Fiske
median
49. 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
Construct validity
Field study
Empirical-keying or criterion-keying approach
Pearson r correlation coefficient
50. Created multitrait-multimethod technique to determine validity of tests
double-blind experiment
Null hypothesis
Donald Campbell and Donald Fiske
Chi-square test