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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. Compares 2 groups of people at the same time point
between subject
Statistical regression
Analysis of covariance (ANCOVA)
Acquiescence
2. Like a histogram except that the vertical bars do not touch - various columns are separated by space
bar graph
variance and standard deviation
frequency polygon
Longitudinal design
3. A level of <0.05or <0.01 means that chance that seemingly significant errors are due to random variation rather than to true systematic variance is less than 5% or 1%
Alpha levels
Discrete data
within subject
research design
4. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Alpha levels
John Horn and Raymond Cattell
Graphs (types)
Learn the shape of different distributions
5. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Linear regression
statistically significant
quasi-experimental design
Pearson r correlation coefficient
6. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Experimenter bias
ratio variables
Draw-A-Person Test
Internal-External Locus of Control Scale
7. Not IQ - It is unlikely IQ captures all facets of it
Cross validation
Criterion-referenced tests
Robert Zajonc
Intelligence
8. When subject behave differently just because they thing that they have received the treatment substance or condition
cohort-sequential design
Demand characteristic
Rorschach Inkblot Test
placebo effect
9. 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
Central Tendency (types and distribution differences)
Descriptive statistics (+types)
Linear regression
Crystallized intelligence
10. Internal-External Locus of Control Scale
standard deviation (calculation)
Julian Rotter
cohort effect
Scientific approach
11. Subjects alter behaviour because they are being observed
Longitudinal design
Type I and II errors
Hawthorne effect
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
12. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Longitudinal design
T-score
cohort-sequential design
Rosenzweig Picture-Frustration (P-F) Study
13. Calculates how off the mean might be in either direction
Inferential statistics
cohort-sequential design
placebo
standard error of mean
14. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
T-test
Beck Depression Inventory (BDI)
Internal validity
Nonequivalent control group
15. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
cohort effect
Selective attrition
Correlational relationships
Type I and II errors
16. The age level of a person'S functioning according to the IQ test
mode
normal distribution(+characteristic)
mental age
predictive value
17. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Minnesota Multiphasic Personality Inventory (MMPI)
Internal validity
Robert Zajonc
Intelligence
18. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
cohort effect
Spearman r correlation coefficient
Walter Mischel
19. Similar to word association - finish incomplete sentences
Projective tests (+types)
Criterion-referenced tests
dependent variable
Rotter Incomplete Sentence Blank
20. 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
Selective attrition
Null hypothesis
Linear regression
Minnesota Multiphasic Personality Inventory (MMPI)
21. 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
Inferential statistics
standard error of mean
T-test
double-blind experiment
22. When people agree with opposing statements; giving tacit agreement
Acquiescence
Concurrent validity
Aptitude tests
Chi-square test
23. 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
Statistical regression
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
independent variable
placebo effect
24. The effect that might result when a group is born and raised in a particular time period
cohort effect
Central Tendency (types and distribution differences)
Curvilinear relationship
stratified sampling
25. For children 6-16
Demand characteristic
Wechsler Intelligence Scale for Children (WISC-R)
Mean IQ
research design
26. Fluid intelligence declines with old age while crystallized intelligence does not
Lie detector tests
predictive value
John Horn and Raymond Cattell
Hawthorne effect
27. Created multitrait-multimethod technique to determine validity of tests
California Personality Inventory (CPI)
independent variable
Z-scores
Donald Campbell and Donald Fiske
28. 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
standard error of mean
Mean IQ
frequency polygon
Z-scores
29. Different subjects of different ages are compared - faster - easier
independent variable
cross-sectional design
Demand characteristic
Aptitude tests
30. Tests the effects of two independent variables or treatment conditions at once
Two-way ANOVA
ANOVA/analysis of variance
mental age
Strong-Campbell Interest Inventory
31. Knowing how to do something
Domain-referenced tests
between subject
Internal validity
Fluid intelligence
32. For children 4-6
standard deviation (calculation)
Q-sort/measure
Charles Spearmen
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
33. Anything that is measured such as height or depression score on a depression scale
Continuous data
Vocational tests
Illusory correlation
Chi-square test
34. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Wechsler Adult Intelligence Scale (WAIS)
histogram
within subject
Crystallized intelligence
35. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Chi-square test
Type I and II errors
percentiles
ordinal variables
36. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Test-retest reliability
Wechsler Intelligence Scale for Children (WISC-R)
Split-half reliability
Strong-Campbell Interest Inventory
37. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Wechsler Adult Intelligence Scale (WAIS)
within subject
normal distribution(+characteristic)
Population & related
38. Used when equivalent one cannot be isolated
Rorschach Inkblot Test
Nonequivalent control group
Anne Anastasi
Longitudinal design
39. Assess extent interests and strengths match those found by professionals in a particular job field
Vocational tests
Content validity
quasi-experimental design
Fluid intelligence
40. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Anne Anastasi
T-score
Objective tests (+types)
predictive value
41. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Validity (+types)
generalizability
Alpha levels
Experimenter bias
42. Measures the extent to which items in a measure 'hang together' and test the same thing
Word Association Test
Empirical-keying or criterion-keying approach
variance (calculation)
Internal validity
43. Measured by the same individual taking the same test more than once
Reactance
social desirability
Acquiescence
Test-retest reliability
44. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
Wechsler Adult Intelligence Scale (WAIS)
Construct validity
Face validity
45. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Rosenzweig Picture-Frustration (P-F) Study
between subject
Walter Mischel
Item analysis (reliability)
46. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Pearson r correlation coefficient
Item analysis (reliability)
Validity (+types)
Draw-A-Person Test
47. Measure how well you know a subject - measure past learning
ratio variables
Spearman r correlation coefficient
Achievement tests
Factorial analysis of variance
48. When subjects act in ways they think experimenter wants or expects
range
Word Association Test
Criterion-referenced tests
Demand characteristic
49. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Population & related
John Horn and Raymond Cattell
Continuous data
Scientific approach
50. 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%
Demand characteristic
Lie detector tests
Percentages under normal distribution based on SDs (from mean to end)
nominal variables