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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. Tests the same person at multiple time points and looks at changes within that person
cohort effect
within subject
Goodenough Draw-A-Man Test
normal distribution(+characteristic)
2. 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
Null hypothesis
between subject
Acquiescence
Myers-Brigg Type Indicator (MBTI)
3. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
random sampling
predictive value
Bayley Scales of Infant Development
Rosenthal effect
4. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Chi-square test
Null hypothesis
Validity (+types)
Q-sort/measure
5. Measures the extent to which items in a measure 'hang together' and test the same thing
Internal validity
Experimental design
mental age
Fluid intelligence
6. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Wechsler Adult Intelligence Scale (WAIS)
Scientific approach
Goodenough Draw-A-Man Test
Inferential statistics
7. 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
Projective tests (+types)
Walter Mischel
interval variables
8. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Factorial analysis of variance
Inferential statistics
Standard normal distributions
Objective tests (+types)
9. The effect that might result when a group is born and raised in a particular time period
cohort effect
Vocational tests
Learn the shape of different distributions
Pearson r correlation coefficient
10. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Standard normal distributions
Linear regression
Julian Rotter
Criterion-referenced tests
11. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Analysis of covariance (ANCOVA)
statistically significant
standard deviation (calculation)
Experimenter bias
12. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Pearson r correlation coefficient
External validity (+types)
Null hypothesis
statistics
13. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
mode
Beck Depression Inventory (BDI)
Standard normal distributions
statistically significant
14. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
research design
Correlational relationships
One-way ANOVA
Walter Mischel
15. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
cross-sectional design
Robert Zajonc
frequency polygon
bar graph
16. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Minnesota Multiphasic Personality Inventory (MMPI)
Hawthorne effect
Analysis of covariance (ANCOVA)
F-scale or F-ratio
17. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
research design
Graphs (types)
Wechsler Adult Intelligence Scale (WAIS)
range
18. 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
Myers-Brigg Type Indicator (MBTI)
Robert Zajonc
Continuous data
Meta-analysis
19. Not IQ - It is unlikely IQ captures all facets of it
variance and standard deviation
Intelligence
placebo effect
Internal validity
20. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
F-scale or F-ratio
Rosenzweig Picture-Frustration (P-F) Study
Chi-square test
Fluid intelligence
21. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
T-score
confounding variable
Two-way ANOVA
Percentages under normal distribution based on SDs (from mean to end)
22. Subjects alter behaviour because they are being observed
Z-scores
Variability
generalizability
Hawthorne effect
23. The process of representing or analyzing numerical data
John Horn and Raymond Cattell
Statistical regression
Experimenter bias
statistics
24. 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
Beck Depression Inventory (BDI)
ANOVA/analysis of variance
Reactance
dependent variable
25. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Anne Anastasi
Draw-A-Person Test
T-test
Lewis Terman
26. 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
Alpha levels
Scientific approach
Analysis of covariance (ANCOVA)
Illusory correlation
27. 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 -
Chi-square test
Wechsler Intelligence Scale for Children (WISC-R)
Standard normal distributions
Rotter Incomplete Sentence Blank
28. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Experimenter bias
Learn the shape of different distributions
Standard normal distributions
statistically significant
29. 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
between subject
Percentages under normal distribution based on SDs (from mean to end)
Item analysis (reliability)
Central Tendency (types and distribution differences)
30. (Mental age/chronological age)/100 - Highest age = 16
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31. Anything that is measured such as height or depression score on a depression scale
Discrete data
Internal validity
Continuous data
median
32. 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
Linear regression
Graphs (types)
Internal validity
variance (calculation)
33. Created multitrait-multimethod technique to determine validity of tests
Julian Rotter
Rotter Incomplete Sentence Blank
Acquiescence
Donald Campbell and Donald Fiske
34. For children 6-16
Statistical regression
Wechsler Intelligence Scale for Children (WISC-R)
Alfred Binet
dependent variable
35. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Analysis of covariance (ANCOVA)
Wechsler Intelligence Scale for Children (WISC-R)
Content validity
Rorschach Inkblot Test
36. Similar to T-test - but can measure more than 2 groups
Graphs (types)
ANOVA/analysis of variance
Acquiescence
Strong-Campbell Interest Inventory
37. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Validity (+types)
ordinal variables
interval variables
median
38. Have order - equal intervals and a real zero ex: age
Nonequivalent control group
One-way ANOVA
Descriptive statistics (+types)
ratio variables
39. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Demand characteristic
Projective tests (+types)
Minnesota Multiphasic Personality Inventory (MMPI)
stratified sampling
40. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Walter Mischel
Crystallized intelligence
Goodenough Draw-A-Man Test
Rosenzweig Picture-Frustration (P-F) Study
41. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Domain-referenced tests
Split-half reliability
Minnesota Multiphasic Personality Inventory (MMPI)
Empirical-keying or criterion-keying approach
42. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
independent variable
Standard normal distributions
histogram
placebo
43. 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
standard error of mean
ratio variables
Discrete data
Objective tests (+types)
44. Knowing how to do something
Central Tendency (types and distribution differences)
Minnesota Multiphasic Personality Inventory (MMPI)
Fluid intelligence
generalizability
45. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Split-half reliability
Experimental design
California Personality Inventory (CPI)
46. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Field study
cohort effect
statistics
Beck Depression Inventory (BDI)
47. Does not control - but examines how independent variable affects it
Item analysis (reliability)
dependent variable
bar graph
Scientific approach
48. 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
Inferential statistics
Central Tendency (types and distribution differences)
External validity (+types)
49. Used when equivalent one cannot be isolated
Nonequivalent control group
Alfred Binet
Experimenter bias
Variability
50. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
stratified sampling
placebo
Statistical regression
F-scale or F-ratio