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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. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Two-way ANOVA
histogram
nominal variables
F-scale or F-ratio
2. 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
Reactance
Longitudinal design
Learn the shape of different distributions
quasi-experimental design
3. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
independent variable
standard deviation (calculation)
Cross validation
Beck Depression Inventory (BDI)
4. The hypothesis that no real differences or pattern exist
Null hypothesis
One-way ANOVA
Mean IQ
Longitudinal design
5. When subjects that drop out are different than those that remain; no longer random
Concurrent validity
Two-way ANOVA
Selective attrition
social desirability
6. Whether test really taps abstract concept being measured
generalizability
Construct validity
Meta-analysis
standard deviation (calculation)
7. Whether test items look like they measure the construct
Reactance
Objective tests (+types)
Face validity
Internal validity
8. (Mental age/chronological age)/100 - Highest age = 16
9. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Demand characteristic
Internal-External Locus of Control Scale
double-blind experiment
Selective attrition
10. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Domain-referenced tests
stratified sampling
Test-retest reliability
cohort-sequential design
11. For ranks; determining the line that describes a linear relationship
Standard normal distributions
Minnesota Multiphasic Personality Inventory (MMPI)
Rosenzweig Picture-Frustration (P-F) Study
Spearman r correlation coefficient
12. 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
California Personality Inventory (CPI)
Thematic Apperception Test (TAT)
Illusory correlation
Domain-referenced tests
13. The effect that might result when a group is born and raised in a particular time period
Split-half reliability
cohort effect
cohort-sequential design
Longitudinal design
14. 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
median
Correlational relationships
Draw-A-Person Test
Descriptive statistics (+types)
15. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Correlational relationships
Empirical-keying or criterion-keying approach
range
California Personality Inventory (CPI)
16. Fluid intelligence declines with old age while crystallized intelligence does not
normal distribution(+characteristic)
between subject
John Horn and Raymond Cattell
Field study
17. 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 -
Frequency distributions (+variables)
Objective tests (+types)
Chi-square test
Charles Spearmen
18. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
histogram
mental age
F-scale or F-ratio
19. Assess extent interests and strengths match those found by professionals in a particular job field
Descriptive statistics (+types)
stratified sampling
cohort effect
Vocational tests
20. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Variability
Cross validation
Correlational relationships
cross-sectional design
21. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Cross validation
Statistical regression
variance (calculation)
between subject
22. Measures the extent to which items in a measure 'hang together' and test the same thing
predictive value
Chi-square test
Internal validity
F-scale or F-ratio
23. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Population & related
random sampling
Hawthorne effect
social desirability
24. Similar to word association - finish incomplete sentences
Rotter Incomplete Sentence Blank
Selective attrition
Alpha levels
Bayley Scales of Infant Development
25. Combines longitudinal and cross-sectional approach
within subject
cohort-sequential design
bar graph
California Personality Inventory (CPI)
26. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Strong-Campbell Interest Inventory
T-test
between subject
Learn the shape of different distributions
27. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Empirical-keying or criterion-keying approach
Projective tests (+types)
One-way ANOVA
generalizability
28. 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
cohort effect
Myers-Brigg Type Indicator (MBTI)
predictive value
Discrete data
29. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Illusory correlation
Objective tests (+types)
T-test
Lewis Terman
30. The degree to which an independent variable can predict a dependent variable
Pearson r correlation coefficient
Wechsler Adult Intelligence Scale (WAIS)
variance (calculation)
predictive value
31. Developed concept of IQ and first intelligence test (Binet Scale)
ANOVA/analysis of variance
Rosenthal effect
Test-retest reliability
Alfred Binet
32. 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
Acquiescence
External validity (+types)
normal distribution(+characteristic)
Empirical-keying or criterion-keying approach
33. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
External validity (+types)
Lie detector tests
histogram
standard deviation (calculation)
34. 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
percentiles
histogram
Rorschach Inkblot Test
Strong-Campbell Interest Inventory
35. 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
Curvilinear relationship
cohort-sequential design
Inferential statistics
cohort effect
36. The degree to which the result from an experiment can be applied to the population and the real world
Nonequivalent control group
Analysis of covariance (ANCOVA)
Construct validity
generalizability
37. Used when equivalent one cannot be isolated
Factorial analysis of variance
Continuous data
Nonequivalent control group
Bayley Scales of Infant Development
38. Anything that is measured such as height or depression score on a depression scale
Continuous data
research design
Achievement tests
Lewis Terman
39. Process in testing concurrent validity
Cross validation
cohort-sequential design
cross-sectional design
Achievement tests
40. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Split-half reliability
Curvilinear relationship
Julian Rotter
quasi-experimental design
41. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Concurrent validity
Null hypothesis
placebo
Test-retest reliability
42. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
ordinal variables
Draw-A-Person Test
Pearson r correlation coefficient
Correlational relationships
43. Originally used with free association techniques; word called out - subject says next word in mind
Word Association Test
random sampling
ordinal variables
standard deviation (calculation)
44. Similar to T-test - but can measure more than 2 groups
range
T-test
ANOVA/analysis of variance
standard error of mean
45. Does not control - but examines how independent variable affects it
Descriptive statistics (+types)
Alfred Binet
Internal-External Locus of Control Scale
dependent variable
46. Not IQ - It is unlikely IQ captures all facets of it
Validity (+types)
Intelligence
Standard normal distributions
Thematic Apperception Test (TAT)
47. The age level of a person'S functioning according to the IQ test
Goodenough Draw-A-Man Test
Meta-analysis
mental age
between subject
48. Measure how well you know a subject - measure past learning
Achievement tests
Validity (+types)
bar graph
Acquiescence
49. Experimenter bias; researchers see what they want to see; minimized in double-blind
Learn the shape of different distributions
Rosenthal effect
Standard normal distributions
Frequency distributions (+variables)
50. How the score are spread out overall
Variability
Intelligence
Domain-referenced tests
Frequency distributions (+variables)