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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. 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
Draw-A-Person Test
John Horn and Raymond Cattell
Robert Zajonc
Curvilinear relationship
2. 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)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Illusory correlation
Mean IQ
3. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
statistics
Beck Depression Inventory (BDI)
nominal variables
Rorschach Inkblot Test
4. Whether content covers a good sample of construct being measured
Content validity
independent variable
Charles Spearmen
range
5. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Field study
IQ Binet'S equation
Factorial analysis of variance
within subject
6. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Lewis Terman
cross-sectional design
stratified sampling
Empirical-keying or criterion-keying approach
7. Different subjects of different ages are compared - faster - easier
Z-scores
Donald Campbell and Donald Fiske
Objective tests (+types)
cross-sectional design
8. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Graphs (types)
nominal variables
Achievement tests
Linear regression
9. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
California Personality Inventory (CPI)
Bayley Scales of Infant Development
Scientific approach
10. The degree to which an independent variable can predict a dependent variable
Rorschach Inkblot Test
Chi-square test
predictive value
Two-way ANOVA
11. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Selective attrition
mode
ordinal variables
Cross validation
12. Similar to T-test - but can measure more than 2 groups
Internal-External Locus of Control Scale
social desirability
ANOVA/analysis of variance
Test-retest reliability
13. 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
predictive value
histogram
ratio variables
Charles Spearmen
14. 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%
Percentages under normal distribution based on SDs (from mean to end)
Variability
frequency polygon
Scientific approach
15. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Internal-External Locus of Control Scale
Achievement tests
Minnesota Multiphasic Personality Inventory (MMPI)
ANOVA/analysis of variance
16. 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
Statistical regression
Wechsler Intelligence Scale for Children (WISC-R)
Objective tests (+types)
Descriptive statistics (+types)
17. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Construct validity
Concurrent validity
Strong-Campbell Interest Inventory
ANOVA/analysis of variance
18. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
social desirability
Fluid intelligence
T-score
Percentages under normal distribution based on SDs (from mean to end)
19. Similar to word association - finish incomplete sentences
Pearson r correlation coefficient
Reliability (+types)
Rotter Incomplete Sentence Blank
F-scale or F-ratio
20. The most frequently occurring value
cross-sectional design
Z-scores
mode
standard deviation (calculation)
21. Compares 2 groups of people at the same time point
frequency polygon
External validity (+types)
between subject
Item analysis (reliability)
22. Interest in the effect of independent variable on the dependent variable - often manipulated by applying it in experimental or treatment condition and withholding it from control condition
Mean IQ
quasi-experimental design
independent variable
Projective tests (+types)
23. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Aptitude tests
interval variables
between subject
Q-sort/measure
24. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
between subject
Projective tests (+types)
placebo
within subject
25. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Stanford-Binet Intelligence Scale
Anne Anastasi
frequency polygon
Thematic Apperception Test (TAT)
26. There is a general factor in intelligence 'g'
Graphs (types)
Charles Spearmen
Walter Mischel
Wechsler Adult Intelligence Scale (WAIS)
27. Every member of the population has an equal chance of being chosen for the sample
frequency polygon
T-test
random sampling
Wechsler Adult Intelligence Scale (WAIS)
28. 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
Thematic Apperception Test (TAT)
Type I and II errors
Linear regression
Demand characteristic
29. How the score are spread out overall
Wechsler Adult Intelligence Scale (WAIS)
Hawthorne effect
within subject
Variability
30. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimenter bias
statistics
Meta-analysis
IQ Binet'S equation
31. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Rosenzweig Picture-Frustration (P-F) Study
cohort effect
Draw-A-Person Test
Analysis of covariance (ANCOVA)
32. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Walter Mischel
Internal validity
Projective tests (+types)
Null hypothesis
33. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Chi-square test
Standard normal distributions
Inferential statistics
Graphs (types)
34. Personality test from Jung'S theory; 93 questions 2 answers each; 4-letter personality type - each letter 1 of 2 possible opposing characteristics: Introverted vs. Extraverted - Sensing vs. Intuition - Feeling vs. Thinking - and - Judgment vs. Percep
nominal variables
Myers-Brigg Type Indicator (MBTI)
normal distribution(+characteristic)
mental age
35. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
Learn the shape of different distributions
Reliability (+types)
random sampling
36. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Meta-analysis
Lie detector tests
Variability
Pearson r correlation coefficient
37. Combines longitudinal and cross-sectional approach
Mean IQ
cohort-sequential design
Wechsler Intelligence Scale for Children (WISC-R)
Q-sort/measure
38. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Strong-Campbell Interest Inventory
Anne Anastasi
Rosenzweig Picture-Frustration (P-F) Study
statistics
39. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Test-retest reliability
double-blind experiment
Beck Depression Inventory (BDI)
Statistical regression
40. Measure mastery in a particular area (e.g. final exam)
Lie detector tests
Criterion-referenced tests
frequency polygon
variance (calculation)
41. Experimenter bias; researchers see what they want to see; minimized in double-blind
Objective tests (+types)
Rosenthal effect
Julian Rotter
John Horn and Raymond Cattell
42. 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
Criterion-referenced tests
Lewis Terman
quasi-experimental design
Minnesota Multiphasic Personality Inventory (MMPI)
43. Anything that is measured such as height or depression score on a depression scale
Experimenter bias
Illusory correlation
Experimental design
Continuous data
44. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
statistically significant
Bayley Scales of Infant Development
mental age
Rorschach Inkblot Test
45. For children 4-6
Domain-referenced tests
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Fluid intelligence
Two-way ANOVA
46. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
ANOVA/analysis of variance
Wechsler Adult Intelligence Scale (WAIS)
Z-scores
Learn the shape of different distributions
47. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
percentiles
Frequency distributions (+variables)
Reactance
IQ Binet'S equation
48. The age level of a person'S functioning according to the IQ test
Rosenzweig Picture-Frustration (P-F) Study
confounding variable
Field study
mental age
49. Tests the same person at multiple time points and looks at changes within that person
Population & related
Julian Rotter
within subject
Alfred Binet
50. (Mental age/chronological age)/100 - Highest age = 16
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