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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. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Standard normal distributions
Validity (+types)
Reactance
Donald Campbell and Donald Fiske
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
mode
John Horn and Raymond Cattell
placebo effect
Central Tendency (types and distribution differences)
3. The age level of a person'S functioning according to the IQ test
double-blind experiment
Aptitude tests
Rotter Incomplete Sentence Blank
mental age
4. The degree to which an independent variable can predict a dependent variable
Type I and II errors
Graphs (types)
interval variables
predictive value
5. 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
Fluid intelligence
Stanford-Binet Intelligence Scale
variance (calculation)
between subject
6. When subjects that drop out are different than those that remain; no longer random
Rosenthal effect
Scientific approach
Selective attrition
Z-scores
7. Internal-External Locus of Control Scale
Concurrent validity
Julian Rotter
statistically significant
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
8. The degree to which the result from an experiment can be applied to the population and the real world
Content validity
double-blind experiment
generalizability
Central Tendency (types and distribution differences)
9. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
generalizability
Internal-External Locus of Control Scale
percentiles
Internal validity
10. (Mental age/chronological age)/100 - Highest age = 16
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11. Does not control - but examines how independent variable affects it
dependent variable
between subject
Q-sort/measure
Charles Spearmen
12. How stable measure is; test-retest - split-half
placebo
Wechsler Adult Intelligence Scale (WAIS)
Selective attrition
Reliability (+types)
13. For children 4-6
Correlational relationships
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Rorschach Inkblot Test
Descriptive statistics (+types)
14. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Scientific approach
Alfred Binet
Crystallized intelligence
range
15. 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
Anne Anastasi
Curvilinear relationship
Thematic Apperception Test (TAT)
Fluid intelligence
16. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Pearson r correlation coefficient
Experimental design
research design
Item analysis (reliability)
17. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
T-score
cross-sectional design
ANOVA/analysis of variance
Population & related
18. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
T-test
Beck Depression Inventory (BDI)
Rosenzweig Picture-Frustration (P-F) Study
19. Subjects alter behaviour because they are being observed
Empirical-keying or criterion-keying approach
Standard normal distributions
generalizability
Hawthorne effect
20. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
cross-sectional design
Correlational relationships
Demand characteristic
dependent variable
21. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
confounding variable
Strong-Campbell Interest Inventory
Fluid intelligence
Alpha levels
22. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Charles Spearmen
Stanford-Binet Intelligence Scale
dependent variable
frequency polygon
23. 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
Rosenzweig Picture-Frustration (P-F) Study
Factorial analysis of variance
Internal validity
Projective tests (+types)
24. Measures the extent to which items in a measure 'hang together' and test the same thing
Internal validity
Statistical regression
independent variable
IQ Binet'S equation
25. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Alfred Binet
double-blind experiment
random sampling
Learn the shape of different distributions
26. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
placebo effect
Meta-analysis
Inferential statistics
statistically significant
27. Anything that is measured such as height or depression score on a depression scale
Continuous data
mode
Projective tests (+types)
Discrete data
28. When people agree with opposing statements; giving tacit agreement
Acquiescence
Donald Campbell and Donald Fiske
Correlational relationships
Lie detector tests
29. 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
Pearson r correlation coefficient
Objective tests (+types)
frequency polygon
Rotter Incomplete Sentence Blank
30. 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
Construct validity
quasi-experimental design
One-way ANOVA
Projective tests (+types)
31. How the score are spread out overall
Word Association Test
standard deviation (calculation)
Variability
Meta-analysis
32. 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
percentiles
Factorial analysis of variance
Intelligence
Field study
33. 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
Linear regression
Analysis of covariance (ANCOVA)
Nonequivalent control group
Word Association Test
34. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
quasi-experimental design
nominal variables
Statistical regression
Spearman r correlation coefficient
35. 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
Descriptive statistics (+types)
Experimental design
John Horn and Raymond Cattell
Continuous data
36. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
dependent variable
Concurrent validity
Domain-referenced tests
random sampling
37. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
External validity (+types)
interval variables
placebo
median
38. 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
Walter Mischel
placebo
Empirical-keying or criterion-keying approach
Beck Depression Inventory (BDI)
39. 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%
John Horn and Raymond Cattell
Cross validation
Percentages under normal distribution based on SDs (from mean to end)
Chi-square test
40. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Discrete data
stratified sampling
variance and standard deviation
between subject
41. 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)
statistically significant
Experimenter bias
Rotter Incomplete Sentence Blank
42. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Analysis of covariance (ANCOVA)
cohort effect
Lie detector tests
variance (calculation)
43. 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
Central Tendency (types and distribution differences)
social desirability
External validity (+types)
Rorschach Inkblot Test
44. Developed concept of IQ and first intelligence test (Binet Scale)
percentiles
Standard normal distributions
Julian Rotter
Alfred Binet
45. Originally to determine mental illness - now for personality; more clinical than CPI; 550 T/F/unsure questions (e.g. 'I would like to ride a horse'); discriminates between disorders; high validity because highly discriminatory items and 3 validity sc
Myers-Brigg Type Indicator (MBTI)
Minnesota Multiphasic Personality Inventory (MMPI)
Alpha levels
statistics
46. For ranks; determining the line that describes a linear relationship
placebo
John Horn and Raymond Cattell
range
Spearman r correlation coefficient
47. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Word Association Test
generalizability
Walter Mischel
Anne Anastasi
48. There is a general factor in intelligence 'g'
cohort effect
Charles Spearmen
Factorial analysis of variance
Correlational relationships
49. 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
generalizability
confounding variable
Bayley Scales of Infant Development
Strong-Campbell Interest Inventory
50. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Split-half reliability
Longitudinal design
Myers-Brigg Type Indicator (MBTI)
Internal validity