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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.
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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. 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
Descriptive statistics (+types)
placebo
Curvilinear relationship
independent variable
2. 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)
Correlational relationships
Frequency distributions (+variables)
quasi-experimental design
3. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
interval variables
Pearson r correlation coefficient
Word Association Test
Anne Anastasi
4. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Analysis of covariance (ANCOVA)
Julian Rotter
placebo effect
Graphs (types)
5. Assess extent interests and strengths match those found by professionals in a particular job field
placebo
Vocational tests
Criterion-referenced tests
Linear regression
6. Process in testing concurrent validity
Continuous data
interval variables
John Horn and Raymond Cattell
Cross validation
7. The degree to which an independent variable can predict a dependent variable
Vocational tests
Thematic Apperception Test (TAT)
predictive value
Split-half reliability
8. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Intelligence
placebo
Rorschach Inkblot Test
Scientific approach
9. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
double-blind experiment
One-way ANOVA
confounding variable
Population & related
10. There is a general factor in intelligence 'g'
between subject
Charles Spearmen
Linear regression
Longitudinal design
11. Internal-External Locus of Control Scale
Beck Depression Inventory (BDI)
Intelligence
generalizability
Julian Rotter
12. For even number of values in the set - take the average of the two middle value
Frequency distributions (+variables)
median
Statistical regression
Wechsler Intelligence Scale for Children (WISC-R)
13. 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
confounding variable
variance and standard deviation
Acquiescence
Inferential statistics
14. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Julian Rotter
Intelligence
Thematic Apperception Test (TAT)
Walter Mischel
15. Developed concept of IQ and first intelligence test (Binet Scale)
ratio variables
Reactance
Alfred Binet
T-score
16. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Graphs (types)
statistically significant
Charles Spearmen
Achievement tests
17. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Null hypothesis
Experimenter bias
Chi-square test
predictive value
18. Whether test items look like they measure the construct
between subject
Face validity
Type I and II errors
Stanford-Binet Intelligence Scale
19. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
normal distribution(+characteristic)
range
Validity (+types)
statistically significant
20. The degree to which the result from an experiment can be applied to the population and the real world
generalizability
Concurrent validity
Face validity
Experimenter bias
21. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Domain-referenced tests
generalizability
Bayley Scales of Infant Development
Content validity
22. 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%
Strong-Campbell Interest Inventory
Alpha levels
Z-scores
Internal validity
23. Anything that is measured such as height or depression score on a depression scale
random sampling
Word Association Test
Continuous data
One-way ANOVA
24. How stable measure is; test-retest - split-half
Draw-A-Person Test
Reliability (+types)
Lie detector tests
Crystallized intelligence
25. 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
Mean IQ
social desirability
median
Test-retest reliability
26. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Criterion-referenced tests
Statistical regression
Thematic Apperception Test (TAT)
stratified sampling
27. Have order - equal intervals and a real zero ex: age
ratio variables
Experimenter bias
Test-retest reliability
placebo effect
28. Does not control - but examines how independent variable affects it
dependent variable
Projective tests (+types)
Objective tests (+types)
Acquiescence
29. 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%
random sampling
Strong-Campbell Interest Inventory
Percentages under normal distribution based on SDs (from mean to end)
Objective tests (+types)
30. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
research design
ordinal variables
Intelligence
Lewis Terman
31. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Internal validity
Alpha levels
quasi-experimental design
range
32. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Domain-referenced tests
Internal validity
Factorial analysis of variance
frequency polygon
33. The effect that might result when a group is born and raised in a particular time period
Standard normal distributions
cohort effect
Percentages under normal distribution based on SDs (from mean to end)
Learn the shape of different distributions
34. 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
Rorschach Inkblot Test
Descriptive statistics (+types)
Donald Campbell and Donald Fiske
Projective tests (+types)
35. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
California Personality Inventory (CPI)
variance and standard deviation
Type I and II errors
Wechsler Adult Intelligence Scale (WAIS)
36. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Crystallized intelligence
Field study
Construct validity
Two-way ANOVA
37. Used most commonly on standardized test
Alfred Binet
T-score
Discrete data
percentiles
38. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Rorschach Inkblot Test
Inferential statistics
Strong-Campbell Interest Inventory
ordinal variables
39. 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
John Horn and Raymond Cattell
Hawthorne effect
Alpha levels
Linear regression
40. figure out how much each score differs (deviates) from the mean by subtracting the mean from each score - square each of these deviation values (to get rid of negative value) - add all these squared deviations to get the sum of square - divide sum by
Factorial analysis of variance
variance (calculation)
Fluid intelligence
Null hypothesis
41. Measure mastery in a particular area (e.g. final exam)
John Horn and Raymond Cattell
Criterion-referenced tests
Standard normal distributions
Validity (+types)
42. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Item analysis (reliability)
F-scale or F-ratio
Draw-A-Person Test
Reactance
43. When subject behave differently just because they thing that they have received the treatment substance or condition
cross-sectional design
Continuous data
placebo effect
Criterion-referenced tests
44. 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
Experimenter bias
interval variables
Mean IQ
Projective tests (+types)
45. Combines longitudinal and cross-sectional approach
Chi-square test
cohort-sequential design
mental age
Frequency distributions (+variables)
46. Used when equivalent one cannot be isolated
T-test
Nonequivalent control group
Projective tests (+types)
Linear regression
47. Originally used with free association techniques; word called out - subject says next word in mind
Word Association Test
Null hypothesis
Draw-A-Person Test
John Horn and Raymond Cattell
48. 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
Graphs (types)
Vocational tests
Z-scores
Mean IQ
49. Created multitrait-multimethod technique to determine validity of tests
dependent variable
Donald Campbell and Donald Fiske
Alpha levels
Concurrent validity
50. 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
Learn the shape of different distributions
Alpha levels
Q-sort/measure
T-test
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