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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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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. 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
Projective tests (+types)
Experimenter bias
interval variables
IQ Binet'S equation
2. Knowing how to do something
Reactance
Goodenough Draw-A-Man Test
Stanford-Binet Intelligence Scale
Fluid intelligence
3. The effect that might result when a group is born and raised in a particular time period
Inferential statistics
Rosenzweig Picture-Frustration (P-F) Study
stratified sampling
cohort effect
4. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Goodenough Draw-A-Man Test
Lie detector tests
External validity (+types)
Objective tests (+types)
5. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
predictive value
frequency polygon
Longitudinal design
standard deviation (calculation)
6. Mathematically combines and summarizes overall effects or findings for a topic; best known for consolidating effectiveness of psychotherapy - can calculate overall effect size or conclusion drawn from a collection of studies; needed when conflicting
between subject
percentiles
Meta-analysis
External validity (+types)
7. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
double-blind experiment
Selective attrition
Pearson r correlation coefficient
interval variables
8. How stable measure is; test-retest - split-half
independent variable
Alfred Binet
normal distribution(+characteristic)
Reliability (+types)
9. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
statistics
nominal variables
Intelligence
range
10. When subjects act in ways they think experimenter wants or expects
Demand characteristic
random sampling
Minnesota Multiphasic Personality Inventory (MMPI)
Illusory correlation
11. 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
Correlational relationships
John Horn and Raymond Cattell
social desirability
Scientific approach
12. Measures the extent to which items in a measure 'hang together' and test the same thing
Rosenzweig Picture-Frustration (P-F) Study
One-way ANOVA
John Horn and Raymond Cattell
Internal validity
13. Bell curve; larger the sample - greater chance of having a normal distribution
normal distribution(+characteristic)
Stanford-Binet Intelligence Scale
Acquiescence
California Personality Inventory (CPI)
14. 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
Wechsler Adult Intelligence Scale (WAIS)
Learn the shape of different distributions
Donald Campbell and Donald Fiske
Objective tests (+types)
15. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Test-retest reliability
Correlational relationships
Charles Spearmen
Lewis Terman
16. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Rosenthal effect
Discrete data
Split-half reliability
Standard normal distributions
17. Not IQ - It is unlikely IQ captures all facets of it
Intelligence
Validity (+types)
range
cohort-sequential design
18. Different subjects of different ages are compared - faster - easier
within subject
cross-sectional design
statistics
Z-scores
19. Used when n-cases in a sample are classified into categories or cells - tell us whether the groups are significantly different in size - look at the pattern or distributions - not difference between mean - ex:intro psych class categorized into race -
Graphs (types)
Chi-square test
Domain-referenced tests
Split-half reliability
20. Calculates how off the mean might be in either direction
Anne Anastasi
Stanford-Binet Intelligence Scale
standard error of mean
generalizability
21. 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
Achievement tests
Demand characteristic
median
22. 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
Domain-referenced tests
Factorial analysis of variance
variance (calculation)
Validity (+types)
23. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
generalizability
Item analysis (reliability)
Pearson r correlation coefficient
24. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Learn the shape of different distributions
Alpha levels
Acquiescence
25. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
T-score
variance (calculation)
statistics
T-test
26. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Crystallized intelligence
Statistical regression
within subject
histogram
27. 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
variance and standard deviation
Correlational relationships
T-test
ANOVA/analysis of variance
28. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
ordinal variables
Goodenough Draw-A-Man Test
Validity (+types)
Q-sort/measure
29. 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%
John Horn and Raymond Cattell
Acquiescence
statistically significant
Alpha levels
30. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Anne Anastasi
Correlational relationships
statistically significant
histogram
31. Similar to T-test - but can measure more than 2 groups
ANOVA/analysis of variance
Draw-A-Person Test
Curvilinear relationship
Hawthorne effect
32. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Reactance
Statistical regression
Domain-referenced tests
33. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
median
standard deviation (calculation)
range
Rosenzweig Picture-Frustration (P-F) Study
34. Created multitrait-multimethod technique to determine validity of tests
Donald Campbell and Donald Fiske
Q-sort/measure
Rotter Incomplete Sentence Blank
double-blind experiment
35. Anything that is measured such as height or depression score on a depression scale
Continuous data
Nonequivalent control group
Fluid intelligence
Acquiescence
36. Experimenter bias; researchers see what they want to see; minimized in double-blind
Rosenthal effect
Vocational tests
Robert Zajonc
Null hypothesis
37. Every member of the population has an equal chance of being chosen for the sample
predictive value
random sampling
cohort-sequential design
Lie detector tests
38. For children 4-6
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Myers-Brigg Type Indicator (MBTI)
Empirical-keying or criterion-keying approach
nominal variables
39. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
variance (calculation)
Frequency distributions (+variables)
Z-scores
stratified sampling
40. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Central Tendency (types and distribution differences)
Illusory correlation
Word Association Test
Experimenter bias
41. 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
California Personality Inventory (CPI)
Descriptive statistics (+types)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
frequency polygon
42. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
Validity (+types)
Selective attrition
Factorial analysis of variance
43. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
ratio variables
Linear regression
Graphs (types)
standard deviation (calculation)
44. When subject behave differently just because they thing that they have received the treatment substance or condition
Word Association Test
ratio variables
placebo effect
IQ Binet'S equation
45. When people agree with opposing statements; giving tacit agreement
Internal validity
Acquiescence
Factorial analysis of variance
median
46. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
mode
Rotter Incomplete Sentence Blank
cross-sectional design
Population & related
47. Combines longitudinal and cross-sectional approach
Test-retest reliability
Julian Rotter
Z-scores
cohort-sequential design
48. 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
Myers-Brigg Type Indicator (MBTI)
frequency polygon
Illusory correlation
Descriptive statistics (+types)
49. 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
Central Tendency (types and distribution differences)
cohort effect
Null hypothesis
Reactance
50. How much variation there is among n number of scores in a distribution
Reactance
Goodenough Draw-A-Man Test
John Horn and Raymond Cattell
variance and standard deviation