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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. Have order - equal intervals and a real zero ex: age
Rorschach Inkblot Test
ratio variables
Factorial analysis of variance
Bayley Scales of Infant Development
2. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
double-blind experiment
Selective attrition
mode
Draw-A-Person Test
3. The age level of a person'S functioning according to the IQ test
mental age
External validity (+types)
Achievement tests
Fluid intelligence
4. The hypothesis that no real differences or pattern exist
Walter Mischel
Analysis of covariance (ANCOVA)
Null hypothesis
Spearman r correlation coefficient
5. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Selective attrition
Curvilinear relationship
Frequency distributions (+variables)
bar graph
6. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Beck Depression Inventory (BDI)
Analysis of covariance (ANCOVA)
Descriptive statistics (+types)
Thematic Apperception Test (TAT)
7. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Wechsler Adult Intelligence Scale (WAIS)
Item analysis (reliability)
Internal validity
Demand characteristic
8. 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
ordinal variables
T-test
Draw-A-Person Test
double-blind experiment
9. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
Validity (+types)
statistically significant
bar graph
10. 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%
cross-sectional design
External validity (+types)
Alpha levels
Nonequivalent control group
11. Calculates how off the mean might be in either direction
dependent variable
standard error of mean
Meta-analysis
Strong-Campbell Interest Inventory
12. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Julian Rotter
Rotter Incomplete Sentence Blank
placebo
standard deviation (calculation)
13. 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
Donald Campbell and Donald Fiske
Curvilinear relationship
double-blind experiment
Draw-A-Person Test
14. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Meta-analysis
Population & related
Beck Depression Inventory (BDI)
Z-scores
15. Whether test items look like they measure the construct
Face validity
frequency polygon
Draw-A-Person Test
ratio variables
16. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Intelligence
range
Pearson r correlation coefficient
Analysis of covariance (ANCOVA)
17. Whether content covers a good sample of construct being measured
Inferential statistics
Content validity
research design
Learn the shape of different distributions
18. Tests the effects of two independent variables or treatment conditions at once
Two-way ANOVA
California Personality Inventory (CPI)
Reliability (+types)
Null hypothesis
19. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Field study
Analysis of covariance (ANCOVA)
Descriptive statistics (+types)
confounding variable
20. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Myers-Brigg Type Indicator (MBTI)
Julian Rotter
Percentages under normal distribution based on SDs (from mean to end)
One-way ANOVA
21. Subjects alter behaviour because they are being observed
Demand characteristic
Alfred Binet
Hawthorne effect
Z-scores
22. 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
T-score
Percentages under normal distribution based on SDs (from mean to end)
Descriptive statistics (+types)
Item analysis (reliability)
23. Similar to word association - finish incomplete sentences
percentiles
External validity (+types)
Rotter Incomplete Sentence Blank
Graphs (types)
24. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
IQ Binet'S equation
Myers-Brigg Type Indicator (MBTI)
Experimental design
T-score
25. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Longitudinal design
Split-half reliability
Scientific approach
Acquiescence
26. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Graphs (types)
John Horn and Raymond Cattell
Anne Anastasi
Demand characteristic
27. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Q-sort/measure
Experimental design
Validity (+types)
nominal variables
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
T-score
Mean IQ
Thematic Apperception Test (TAT)
Correlational relationships
29. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Rorschach Inkblot Test
Wechsler Adult Intelligence Scale (WAIS)
Two-way ANOVA
Frequency distributions (+variables)
30. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
Concurrent validity
One-way ANOVA
Reactance
31. Assess extent interests and strengths match those found by professionals in a particular job field
Nonequivalent control group
Vocational tests
Chi-square test
Robert Zajonc
32. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Rotter Incomplete Sentence Blank
Scientific approach
Concurrent validity
Empirical-keying or criterion-keying approach
33. Created multitrait-multimethod technique to determine validity of tests
Donald Campbell and Donald Fiske
Experimenter bias
mode
Word Association Test
34. When subjects do and say what they think puts them in a favorable light -ex: reporting they are not racist even if they really are
Lewis Terman
social desirability
Experimenter bias
Alfred Binet
35. Similar to T-test - but can measure more than 2 groups
Lewis Terman
Concurrent validity
ANOVA/analysis of variance
Alpha levels
36. 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
Myers-Brigg Type Indicator (MBTI)
Experimental design
Pearson r correlation coefficient
Objective tests (+types)
37. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Strong-Campbell Interest Inventory
Discrete data
Crystallized intelligence
California Personality Inventory (CPI)
38. Every member of the population has an equal chance of being chosen for the sample
random sampling
quasi-experimental design
variance (calculation)
predictive value
39. 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
Central Tendency (types and distribution differences)
Crystallized intelligence
dependent variable
Word Association Test
40. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Strong-Campbell Interest Inventory
Spearman r correlation coefficient
Domain-referenced tests
Rorschach Inkblot Test
41. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Acquiescence
Wechsler Intelligence Scale for Children (WISC-R)
interval variables
Experimental design
42. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Stanford-Binet Intelligence Scale
Q-sort/measure
Inferential statistics
Type I and II errors
43. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Experimenter bias
Aptitude tests
standard deviation (calculation)
Graphs (types)
44. Used when equivalent one cannot be isolated
Crystallized intelligence
Nonequivalent control group
Acquiescence
Strong-Campbell Interest Inventory
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
Selective attrition
Projective tests (+types)
Achievement tests
Q-sort/measure
46. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
range
double-blind experiment
John Horn and Raymond Cattell
variance (calculation)
47. Used when an experiment involves more than one independent variable - can separate the effects of different levels of different variables - can isolate main effects - can identify interaction effects - ex: studying effect of brain lesion on problem s
Concurrent validity
Bayley Scales of Infant Development
statistically significant
Factorial analysis of variance
48. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Demand characteristic
F-scale or F-ratio
social desirability
Inferential statistics
49. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Lewis Terman
Item analysis (reliability)
Nonequivalent control group
Hawthorne effect
50. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Objective tests (+types)
stratified sampling
Learn the shape of different distributions
Lie detector tests