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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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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. 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)
Linear regression
independent variable
Goodenough Draw-A-Man Test
2. Not IQ - It is unlikely IQ captures all facets of it
Demand characteristic
Achievement tests
Intelligence
cohort-sequential design
3. Measures the extent to which items in a measure 'hang together' and test the same thing
histogram
Internal validity
Illusory correlation
statistically significant
4. Measure of fascism or authoritarian personality
F-scale or F-ratio
Construct validity
Face validity
One-way ANOVA
5. The effect that might result when a group is born and raised in a particular time period
Word Association Test
cohort effect
Rorschach Inkblot Test
Lie detector tests
6. For ranks; determining the line that describes a linear relationship
Spearman r correlation coefficient
One-way ANOVA
interval variables
Variability
7. 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)
Statistical regression
Reactance
Donald Campbell and Donald Fiske
8. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Q-sort/measure
Walter Mischel
Lie detector tests
Standard normal distributions
9. Have order - equal intervals and a real zero ex: age
ratio variables
Nonequivalent control group
Internal validity
Empirical-keying or criterion-keying approach
10. 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
generalizability
Goodenough Draw-A-Man Test
External validity (+types)
Meta-analysis
11. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Item analysis (reliability)
Fluid intelligence
bar graph
Population & related
12. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Achievement tests
Null hypothesis
Objective tests (+types)
Experimental design
13. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
median
Selective attrition
interval variables
Aptitude tests
14. Used most commonly on standardized test
social desirability
between subject
percentiles
Discrete data
15. Knowing how to do something
mental age
Correlational relationships
Fluid intelligence
Lewis Terman
16. Bell curve; larger the sample - greater chance of having a normal distribution
normal distribution(+characteristic)
Two-way ANOVA
F-scale or F-ratio
cohort-sequential design
17. Originally used with free association techniques; word called out - subject says next word in mind
Word Association Test
Item analysis (reliability)
Aptitude tests
Stanford-Binet Intelligence Scale
18. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Acquiescence
Validity (+types)
Goodenough Draw-A-Man Test
predictive value
19. When subjects act in ways they think experimenter wants or expects
Selective attrition
Demand characteristic
standard error of mean
Goodenough Draw-A-Man Test
20. 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
Percentages under normal distribution based on SDs (from mean to end)
Strong-Campbell Interest Inventory
John Horn and Raymond Cattell
variance (calculation)
21. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
IQ Binet'S equation
Beck Depression Inventory (BDI)
Thematic Apperception Test (TAT)
Null hypothesis
22. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Fluid intelligence
Anne Anastasi
Domain-referenced tests
Spearman r correlation coefficient
23. The process of representing or analyzing numerical data
Rosenthal effect
statistics
Scientific approach
cross-sectional design
24. Whether test items look like they measure the construct
Face validity
Strong-Campbell Interest Inventory
Thematic Apperception Test (TAT)
Walter Mischel
25. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
placebo
Statistical regression
Null hypothesis
Goodenough Draw-A-Man Test
26. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Criterion-referenced tests
double-blind experiment
Discrete data
Word Association Test
27. 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
Aptitude tests
Curvilinear relationship
random sampling
Rorschach Inkblot Test
28. For children 6-16
Validity (+types)
Wechsler Intelligence Scale for Children (WISC-R)
placebo
Spearman r correlation coefficient
29. 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
Rotter Incomplete Sentence Blank
Walter Mischel
quasi-experimental design
Aptitude tests
30. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Correlational relationships
Continuous data
cohort effect
ratio variables
31. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Split-half reliability
Rosenthal effect
Face validity
placebo
32. Developed concept of IQ and first intelligence test (Binet Scale)
Alfred Binet
predictive value
confounding variable
Internal-External Locus of Control Scale
33. 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
Empirical-keying or criterion-keying approach
Variability
Construct validity
stratified sampling
34. Mean of Americans is standardized to 100 - with SD 15 or 16 depending on test; correlates most with IQ of biological parents and socioeconomic status
independent variable
Mean IQ
ratio variables
Type I and II errors
35. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Continuous data
Julian Rotter
research design
range
36. The hypothesis that no real differences or pattern exist
Percentages under normal distribution based on SDs (from mean to end)
percentiles
Hawthorne effect
Null hypothesis
37. Does not control - but examines how independent variable affects it
Strong-Campbell Interest Inventory
dependent variable
Achievement tests
Scientific approach
38. Created multitrait-multimethod technique to determine validity of tests
Rosenthal effect
Demand characteristic
Donald Campbell and Donald Fiske
Draw-A-Person Test
39. Combines longitudinal and cross-sectional approach
Cross validation
Draw-A-Person Test
cohort-sequential design
Objective tests (+types)
40. Experimenter bias; researchers see what they want to see; minimized in double-blind
Rosenzweig Picture-Frustration (P-F) Study
Rosenthal effect
Julian Rotter
Achievement tests
41. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
predictive value
Illusory correlation
nominal variables
Projective tests (+types)
42. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Aptitude tests
ANOVA/analysis of variance
Longitudinal design
range
43. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Wechsler Intelligence Scale for Children (WISC-R)
cross-sectional design
Central Tendency (types and distribution differences)
Pearson r correlation coefficient
44. 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
Cross validation
research design
variance (calculation)
T-test
45. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Pearson r correlation coefficient
interval variables
Learn the shape of different distributions
Null hypothesis
46. 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
Meta-analysis
Objective tests (+types)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Spearman r correlation coefficient
47. When people agree with opposing statements; giving tacit agreement
F-scale or F-ratio
Acquiescence
Experimenter bias
cohort effect
48. 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
Cross validation
Objective tests (+types)
Reactance
dependent variable
49. Internal-External Locus of Control Scale
range
Julian Rotter
mode
Rosenthal effect
50. How stable measure is; test-retest - split-half
Correlational relationships
Reliability (+types)
Intelligence
standard deviation (calculation)