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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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Subjects
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gre
,
psychology
Instructions:
Answer 50 questions in 15 minutes.
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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. The most frequently occurring value
between subject
percentiles
IQ Binet'S equation
mode
2. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
histogram
Beck Depression Inventory (BDI)
Field study
Mean IQ
3. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
independent variable
within subject
Julian Rotter
4. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Vocational tests
Charles Spearmen
cohort effect
Stanford-Binet Intelligence Scale
5. Subjects alter behaviour because they are being observed
Factorial analysis of variance
Hawthorne effect
Experimental design
Beck Depression Inventory (BDI)
6. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
statistics
Null hypothesis
Robert Zajonc
Reliability (+types)
7. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
placebo effect
normal distribution(+characteristic)
Concurrent validity
Experimenter bias
8. For ranks; determining the line that describes a linear relationship
Donald Campbell and Donald Fiske
standard error of mean
Z-scores
Spearman r correlation coefficient
9. 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
quasi-experimental design
double-blind experiment
Scientific approach
Construct validity
10. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
dependent variable
statistically significant
ratio variables
Discrete data
11. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Cross validation
Nonequivalent control group
statistically significant
stratified sampling
12. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Graphs (types)
within subject
Reactance
Pearson r correlation coefficient
13. Fluid intelligence declines with old age while crystallized intelligence does not
random sampling
T-test
independent variable
John Horn and Raymond Cattell
14. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Myers-Brigg Type Indicator (MBTI)
standard deviation (calculation)
Statistical regression
Walter Mischel
15. 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
Linear regression
Experimental design
double-blind experiment
confounding variable
16. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
F-scale or F-ratio
Variability
interval variables
Reliability (+types)
17. The effect that might result when a group is born and raised in a particular time period
placebo effect
cohort effect
standard error of mean
Demand characteristic
18. Every member of the population has an equal chance of being chosen for the sample
Rorschach Inkblot Test
Minnesota Multiphasic Personality Inventory (MMPI)
random sampling
standard error of mean
19. Originally used with free association techniques; word called out - subject says next word in mind
Julian Rotter
generalizability
Word Association Test
placebo effect
20. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Spearman r correlation coefficient
Wechsler Adult Intelligence Scale (WAIS)
Continuous data
Nonequivalent control group
21. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
California Personality Inventory (CPI)
Nonequivalent control group
research design
Population & related
22. 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
Lie detector tests
median
Learn the shape of different distributions
Reactance
23. Whether content covers a good sample of construct being measured
Illusory correlation
Achievement tests
ordinal variables
Content validity
24. 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
Standard normal distributions
Statistical regression
independent variable
ANOVA/analysis of variance
25. 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
variance (calculation)
Factorial analysis of variance
generalizability
Projective tests (+types)
26. There is a general factor in intelligence 'g'
median
frequency polygon
Charles Spearmen
interval variables
27. Calculates how off the mean might be in either direction
Construct validity
standard error of mean
quasi-experimental design
Minnesota Multiphasic Personality Inventory (MMPI)
28. Similar to T-test - but can measure more than 2 groups
Percentages under normal distribution based on SDs (from mean to end)
Field study
Lie detector tests
ANOVA/analysis of variance
29. Notable for cross-cultural application and simple directions - to make the best picture of a man - scored based on detail and accuracy - not artistic talent
Goodenough Draw-A-Man Test
interval variables
Item analysis (reliability)
Projective tests (+types)
30. Measure innate ability to learn (debatable) - to predict later performance
Standard normal distributions
stratified sampling
Aptitude tests
Field study
31. 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
confounding variable
F-scale or F-ratio
mode
T-test
32. Internal-External Locus of Control Scale
Central Tendency (types and distribution differences)
Julian Rotter
External validity (+types)
Null hypothesis
33. The process of representing or analyzing numerical data
Beck Depression Inventory (BDI)
Demand characteristic
Factorial analysis of variance
statistics
34. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Experimenter bias
range
Domain-referenced tests
standard error of mean
35. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Goodenough Draw-A-Man Test
random sampling
Lewis Terman
statistics
36. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Inferential statistics
Q-sort/measure
Curvilinear relationship
Factorial analysis of variance
37. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Selective attrition
nominal variables
Pearson r correlation coefficient
standard error of mean
38. 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
One-way ANOVA
social desirability
Charles Spearmen
histogram
39. The age level of a person'S functioning according to the IQ test
Mean IQ
Scientific approach
Continuous data
mental age
40. Different subjects of different ages are compared - faster - easier
cross-sectional design
Item analysis (reliability)
Goodenough Draw-A-Man Test
quasi-experimental design
41. 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
Lie detector tests
Frequency distributions (+variables)
Concurrent validity
42. Developed concept of IQ and first intelligence test (Binet Scale)
Alfred Binet
Percentages under normal distribution based on SDs (from mean to end)
range
T-test
43. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Z-scores
Demand characteristic
Correlational relationships
Frequency distributions (+variables)
44. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Criterion-referenced tests
dependent variable
random sampling
Experimenter bias
45. 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%
Standard normal distributions
quasi-experimental design
Julian Rotter
Percentages under normal distribution based on SDs (from mean to end)
46. 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)
generalizability
predictive value
cohort-sequential design
47. 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
Lie detector tests
Criterion-referenced tests
Illusory correlation
Standard normal distributions
48. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
John Horn and Raymond Cattell
variance (calculation)
Bayley Scales of Infant Development
Analysis of covariance (ANCOVA)
49. How the score are spread out overall
Chi-square test
bar graph
Variability
range
50. When subjects that drop out are different than those that remain; no longer random
Selective attrition
Fluid intelligence
Learn the shape of different distributions
dependent variable
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