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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. Subjects alter behaviour because they are being observed
Hawthorne effect
Achievement tests
Goodenough Draw-A-Man Test
stratified sampling
2. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Stanford-Binet Intelligence Scale
Bayley Scales of Infant Development
placebo
Correlational relationships
3. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Lewis Terman
Robert Zajonc
Lie detector tests
statistically significant
4. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
nominal variables
cross-sectional design
statistically significant
Statistical regression
5. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Rosenthal effect
Null hypothesis
double-blind experiment
Spearman r correlation coefficient
6. 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
Variability
Split-half reliability
Rotter Incomplete Sentence Blank
Myers-Brigg Type Indicator (MBTI)
7. Tests the effects of two independent variables or treatment conditions at once
Two-way ANOVA
placebo
Crystallized intelligence
Rosenzweig Picture-Frustration (P-F) Study
8. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Longitudinal design
bar graph
Experimenter bias
Rotter Incomplete Sentence Blank
9. 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
Frequency distributions (+variables)
variance (calculation)
independent variable
Word Association Test
10. When subjects act in ways they think experimenter wants or expects
One-way ANOVA
Experimental design
Demand characteristic
Pearson r correlation coefficient
11. Experimenter bias; researchers see what they want to see; minimized in double-blind
cross-sectional design
Correlational relationships
Rosenthal effect
Hawthorne effect
12. The age level of a person'S functioning according to the IQ test
Charles Spearmen
Experimenter bias
Test-retest reliability
mental age
13. 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
placebo effect
histogram
Minnesota Multiphasic Personality Inventory (MMPI)
Scientific approach
14. There is a general factor in intelligence 'g'
Analysis of covariance (ANCOVA)
Spearman r correlation coefficient
Charles Spearmen
cohort effect
15. Created multitrait-multimethod technique to determine validity of tests
standard deviation (calculation)
Donald Campbell and Donald Fiske
normal distribution(+characteristic)
Z-scores
16. 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%
predictive value
Internal-External Locus of Control Scale
Percentages under normal distribution based on SDs (from mean to end)
Population & related
17. 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
Type I and II errors
John Horn and Raymond Cattell
Anne Anastasi
quasi-experimental design
18. Anything that is measured such as height or depression score on a depression scale
T-test
Achievement tests
Continuous data
Crystallized intelligence
19. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Internal validity
Pearson r correlation coefficient
Rorschach Inkblot Test
Myers-Brigg Type Indicator (MBTI)
20. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Scientific approach
Myers-Brigg Type Indicator (MBTI)
Continuous data
cohort-sequential design
21. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
Charles Spearmen
Nonequivalent control group
placebo
22. How much variation there is among n number of scores in a distribution
Correlational relationships
Rosenthal effect
T-test
variance and standard deviation
23. Whether content covers a good sample of construct being measured
median
Anne Anastasi
placebo
Content validity
24. 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
Q-sort/measure
Vocational tests
Charles Spearmen
Factorial analysis of variance
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
Minnesota Multiphasic Personality Inventory (MMPI)
between subject
Null hypothesis
social desirability
26. How the score are spread out overall
placebo effect
Variability
Q-sort/measure
Strong-Campbell Interest Inventory
27. 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
John Horn and Raymond Cattell
normal distribution(+characteristic)
Experimental design
variance (calculation)
28. Measures the extent to which items in a measure 'hang together' and test the same thing
Internal validity
independent variable
IQ Binet'S equation
Type I and II errors
29. Similar to T-test - but can measure more than 2 groups
Domain-referenced tests
ANOVA/analysis of variance
independent variable
mental age
30. 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
Validity (+types)
Rotter Incomplete Sentence Blank
Robert Zajonc
Reactance
31. The degree to which the result from an experiment can be applied to the population and the real world
within subject
Field study
Illusory correlation
generalizability
32. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Frequency distributions (+variables)
Field study
Intelligence
cohort-sequential design
33. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
Minnesota Multiphasic Personality Inventory (MMPI)
John Horn and Raymond Cattell
Wechsler Intelligence Scale for Children (WISC-R)
34. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Continuous data
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Item analysis (reliability)
Type I and II errors
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
Q-sort/measure
Experimenter bias
Vocational tests
Descriptive statistics (+types)
36. (Mental age/chronological age)/100 - Highest age = 16
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37. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Z-scores
Empirical-keying or criterion-keying approach
Linear regression
bar graph
38. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
John Horn and Raymond Cattell
Walter Mischel
Null hypothesis
Myers-Brigg Type Indicator (MBTI)
39. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
ratio variables
Two-way ANOVA
Variability
Split-half reliability
40. Knowing how to do something
Factorial analysis of variance
Construct validity
Myers-Brigg Type Indicator (MBTI)
Fluid intelligence
41. 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
Rosenthal effect
Chi-square test
Objective tests (+types)
histogram
42. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
T-score
Standard normal distributions
Draw-A-Person Test
Population & related
43. The effect that might result when a group is born and raised in a particular time period
Lewis Terman
histogram
statistically significant
cohort effect
44. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Population & related
Q-sort/measure
Statistical regression
ratio variables
45. Similar to word association - finish incomplete sentences
Rotter Incomplete Sentence Blank
Domain-referenced tests
T-test
random sampling
46. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Anne Anastasi
histogram
Rosenzweig Picture-Frustration (P-F) Study
Alpha levels
47. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Strong-Campbell Interest Inventory
mode
range
Variability
48. Whether test items look like they measure the construct
between subject
Central Tendency (types and distribution differences)
confounding variable
Face validity
49. For ranks; determining the line that describes a linear relationship
Achievement tests
Content validity
Spearman r correlation coefficient
IQ Binet'S equation
50. 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
research design
predictive value
Split-half reliability
Empirical-keying or criterion-keying approach