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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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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. For even number of values in the set - take the average of the two middle value
cohort-sequential design
median
Inferential statistics
Construct validity
2. Different subjects of different ages are compared - faster - easier
Inferential statistics
Concurrent validity
F-scale or F-ratio
cross-sectional design
3. There is a general factor in intelligence 'g'
Charles Spearmen
placebo effect
Donald Campbell and Donald Fiske
Aptitude tests
4. (Mental age/chronological age)/100 - Highest age = 16
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5. For children 4-6
interval variables
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Test-retest reliability
Population & related
6. When subjects act in ways they think experimenter wants or expects
Central Tendency (types and distribution differences)
Two-way ANOVA
Demand characteristic
Q-sort/measure
7. Assess extent interests and strengths match those found by professionals in a particular job field
Experimenter bias
normal distribution(+characteristic)
Item analysis (reliability)
Vocational tests
8. The process of representing or analyzing numerical data
Aptitude tests
statistics
Wechsler Intelligence Scale for Children (WISC-R)
Achievement tests
9. 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
confounding variable
Chi-square test
statistically significant
10. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Type I and II errors
Longitudinal design
Statistical regression
Donald Campbell and Donald Fiske
11. The hypothesis that no real differences or pattern exist
Null hypothesis
Alfred Binet
placebo effect
Donald Campbell and Donald Fiske
12. Subjects alter behaviour because they are being observed
Illusory correlation
Hawthorne effect
Descriptive statistics (+types)
Percentages under normal distribution based on SDs (from mean to end)
13. Knowing how to do something
Fluid intelligence
Meta-analysis
Strong-Campbell Interest Inventory
Central Tendency (types and distribution differences)
14. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Stanford-Binet Intelligence Scale
variance (calculation)
Domain-referenced tests
Achievement tests
15. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Split-half reliability
Reliability (+types)
T-score
Myers-Brigg Type Indicator (MBTI)
16. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Lie detector tests
Population & related
Wechsler Adult Intelligence Scale (WAIS)
Analysis of covariance (ANCOVA)
17. Used when equivalent one cannot be isolated
random sampling
Two-way ANOVA
Vocational tests
Nonequivalent control group
18. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Discrete data
frequency polygon
social desirability
Analysis of covariance (ANCOVA)
19. For ranks; determining the line that describes a linear relationship
mental age
Criterion-referenced tests
Spearman r correlation coefficient
Stanford-Binet Intelligence Scale
20. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Julian Rotter
Acquiescence
standard deviation (calculation)
Frequency distributions (+variables)
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
T-test
Face validity
Goodenough Draw-A-Man Test
Rorschach Inkblot Test
22. 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
Q-sort/measure
standard error of mean
Mean IQ
Objective tests (+types)
23. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
standard deviation (calculation)
Criterion-referenced tests
Item analysis (reliability)
median
24. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Objective tests (+types)
Internal-External Locus of Control Scale
Myers-Brigg Type Indicator (MBTI)
Null hypothesis
25. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Spearman r correlation coefficient
Demand characteristic
Lie detector tests
Field study
26. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Content validity
interval variables
generalizability
cohort effect
27. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Anne Anastasi
Rosenthal effect
Beck Depression Inventory (BDI)
Rorschach Inkblot Test
28. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Concurrent validity
Chi-square test
Learn the shape of different distributions
standard deviation (calculation)
29. Measures the extent to which items in a measure 'hang together' and test the same thing
Z-scores
Internal validity
Intelligence
Discrete data
30. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
Julian Rotter
Concurrent validity
variance and standard deviation
31. Measure how well you know a subject - measure past learning
Beck Depression Inventory (BDI)
Projective tests (+types)
Acquiescence
Achievement tests
32. 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
Discrete data
confounding variable
Standard normal distributions
nominal variables
33. Not IQ - It is unlikely IQ captures all facets of it
Face validity
Donald Campbell and Donald Fiske
Intelligence
Discrete data
34. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
Type I and II errors
Vocational tests
Chi-square test
research design
35. 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
Q-sort/measure
Central Tendency (types and distribution differences)
Alfred Binet
statistics
36. Whether test really taps abstract concept being measured
Linear regression
Construct validity
Mean IQ
Charles Spearmen
37. Knowing a fact
Crystallized intelligence
Rotter Incomplete Sentence Blank
External validity (+types)
Q-sort/measure
38. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
IQ Binet'S equation
Scientific approach
California Personality Inventory (CPI)
Reliability (+types)
39. 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
stratified sampling
interval variables
Meta-analysis
quasi-experimental design
40. Aims to match demographic characteristics to population (i.e. 50% female - etc)
T-test
stratified sampling
random sampling
Internal validity
41. Created multitrait-multimethod technique to determine validity of tests
Donald Campbell and Donald Fiske
ANOVA/analysis of variance
Achievement tests
California Personality Inventory (CPI)
42. 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
research design
Lewis Terman
Nonequivalent control group
Projective tests (+types)
43. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
social desirability
Factorial analysis of variance
Fluid intelligence
44. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
placebo
Factorial analysis of variance
Split-half reliability
45. 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
Population & related
interval variables
Objective tests (+types)
standard deviation (calculation)
46. 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
Charles Spearmen
Goodenough Draw-A-Man Test
placebo effect
Inferential statistics
47. 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
standard deviation (calculation)
Strong-Campbell Interest Inventory
Discrete data
ratio variables
48. 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
Reactance
Meta-analysis
ratio variables
Item analysis (reliability)
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
histogram
Empirical-keying or criterion-keying approach
Rosenthal effect
Vocational tests
50. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Projective tests (+types)
Stanford-Binet Intelligence Scale
Analysis of covariance (ANCOVA)
Walter Mischel