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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. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Inferential statistics
Learn the shape of different distributions
mode
Myers-Brigg Type Indicator (MBTI)
2. Have order - equal intervals and a real zero ex: age
ratio variables
Demand characteristic
Crystallized intelligence
Variability
3. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Correlational relationships
Percentages under normal distribution based on SDs (from mean to end)
Acquiescence
Meta-analysis
4. 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
Internal-External Locus of Control Scale
Reactance
Nonequivalent control group
independent variable
5. Measured by the same individual taking the same test more than once
variance and standard deviation
Test-retest reliability
frequency polygon
Achievement tests
6. How much variation there is among n number of scores in a distribution
Thematic Apperception Test (TAT)
variance and standard deviation
Item analysis (reliability)
Acquiescence
7. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Walter Mischel
Rosenthal effect
Curvilinear relationship
T-score
8. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Face validity
independent variable
Standard normal distributions
double-blind experiment
9. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
One-way ANOVA
Bayley Scales of Infant Development
Internal validity
Content validity
10. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Validity (+types)
Q-sort/measure
stratified sampling
Rorschach Inkblot Test
11. Not IQ - It is unlikely IQ captures all facets of it
Intelligence
nominal variables
predictive value
random sampling
12. When subjects act in ways they think experimenter wants or expects
Demand characteristic
interval variables
Analysis of covariance (ANCOVA)
Pearson r correlation coefficient
13. 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
social desirability
frequency polygon
Word Association Test
External validity (+types)
14. How stable measure is; test-retest - split-half
Concurrent validity
Reliability (+types)
Test-retest reliability
Rorschach Inkblot Test
15. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Rotter Incomplete Sentence Blank
External validity (+types)
Rosenthal effect
Lewis Terman
16. 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
F-scale or F-ratio
Experimental design
Discrete data
Aptitude tests
17. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Internal validity
Beck Depression Inventory (BDI)
Type I and II errors
Achievement tests
18. 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%
Concurrent validity
Item analysis (reliability)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Percentages under normal distribution based on SDs (from mean to end)
19. The process of representing or analyzing numerical data
Face validity
Draw-A-Person Test
statistics
Wechsler Intelligence Scale for Children (WISC-R)
20. Measure mastery in a particular area (e.g. final exam)
dependent variable
Donald Campbell and Donald Fiske
Statistical regression
Criterion-referenced tests
21. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Hawthorne effect
Discrete data
Stanford-Binet Intelligence Scale
Reliability (+types)
22. Developed concept of IQ and first intelligence test (Binet Scale)
Thematic Apperception Test (TAT)
Alfred Binet
Longitudinal design
Domain-referenced tests
23. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Reliability (+types)
Split-half reliability
Rorschach Inkblot Test
cohort effect
24. Compares 2 groups of people at the same time point
variance and standard deviation
Two-way ANOVA
confounding variable
between subject
25. When people agree with opposing statements; giving tacit agreement
Acquiescence
Standard normal distributions
Nonequivalent control group
Domain-referenced tests
26. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
nominal variables
Goodenough Draw-A-Man Test
Null hypothesis
statistically significant
27. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
bar graph
Curvilinear relationship
predictive value
28. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Percentages under normal distribution based on SDs (from mean to end)
Linear regression
Pearson r correlation coefficient
Validity (+types)
29. 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
Bayley Scales of Infant Development
Mean IQ
research design
30. 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
within subject
F-scale or F-ratio
Percentages under normal distribution based on SDs (from mean to end)
Illusory correlation
31. (Mental age/chronological age)/100 - Highest age = 16
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32. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Inferential statistics
Spearman r correlation coefficient
Robert Zajonc
Mean IQ
33. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Lewis Terman
variance (calculation)
random sampling
statistically significant
34. Bell curve; larger the sample - greater chance of having a normal distribution
California Personality Inventory (CPI)
normal distribution(+characteristic)
statistically significant
Walter Mischel
35. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Discrete data
Experimental design
Reactance
stratified sampling
36. Used when n-cases in a sample are classified into categories or cells - tell us whether the groups are significantly different in size - look at the pattern or distributions - not difference between mean - ex:intro psych class categorized into race -
Concurrent validity
Intelligence
variance (calculation)
Chi-square test
37. For children 6-16
Population & related
Percentages under normal distribution based on SDs (from mean to end)
Curvilinear relationship
Wechsler Intelligence Scale for Children (WISC-R)
38. Every member of the population has an equal chance of being chosen for the sample
Aptitude tests
Chi-square test
random sampling
Reliability (+types)
39. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Myers-Brigg Type Indicator (MBTI)
normal distribution(+characteristic)
statistically significant
Two-way ANOVA
40. Similar to word association - finish incomplete sentences
Rotter Incomplete Sentence Blank
stratified sampling
Continuous data
cohort effect
41. Experimenter bias; researchers see what they want to see; minimized in double-blind
statistically significant
Illusory correlation
Rosenthal effect
variance (calculation)
42. 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
social desirability
Thematic Apperception Test (TAT)
Reliability (+types)
43. 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
Beck Depression Inventory (BDI)
standard error of mean
T-test
Objective tests (+types)
44. 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
T-score
Selective attrition
Central Tendency (types and distribution differences)
Factorial analysis of variance
45. Measure of fascism or authoritarian personality
Discrete data
Wechsler Adult Intelligence Scale (WAIS)
One-way ANOVA
F-scale or F-ratio
46. Measure how well you know a subject - measure past learning
Achievement tests
T-score
Internal-External Locus of Control Scale
Central Tendency (types and distribution differences)
47. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Fluid intelligence
statistically significant
Graphs (types)
Inferential statistics
48. 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)
median
Descriptive statistics (+types)
variance and standard deviation
49. Tests the effects of two independent variables or treatment conditions at once
Rorschach Inkblot Test
Illusory correlation
Two-way ANOVA
Continuous data
50. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
John Horn and Raymond Cattell
Charles Spearmen
Scientific approach
Rotter Incomplete Sentence Blank