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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. 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
Correlational relationships
One-way ANOVA
variance (calculation)
nominal variables
2. Draw a person of each sex and tell a story about them
Draw-A-Person Test
ANOVA/analysis of variance
Thematic Apperception Test (TAT)
interval variables
3. How much variation there is among n number of scores in a distribution
Reliability (+types)
variance and standard deviation
Concurrent validity
Rorschach Inkblot Test
4. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
cohort-sequential design
mode
range
percentiles
5. When subject behave differently just because they thing that they have received the treatment substance or condition
Selective attrition
placebo effect
variance (calculation)
research design
6. (Mental age/chronological age)/100 - Highest age = 16
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7. Fluid intelligence declines with old age while crystallized intelligence does not
quasi-experimental design
Mean IQ
Factorial analysis of variance
John Horn and Raymond Cattell
8. How the score are spread out overall
Linear regression
Variability
Population & related
placebo effect
9. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Wechsler Intelligence Scale for Children (WISC-R)
Type I and II errors
Rosenzweig Picture-Frustration (P-F) Study
Test-retest reliability
10. 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
median
Goodenough Draw-A-Man Test
histogram
Intelligence
11. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Lewis Terman
Robert Zajonc
Field study
Aptitude tests
12. 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
Anne Anastasi
Validity (+types)
Linear regression
Objective tests (+types)
13. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Intelligence
California Personality Inventory (CPI)
Variability
Experimenter bias
14. Measures the extent to which items in a measure 'hang together' and test the same thing
mode
Internal validity
double-blind experiment
Nonequivalent control group
15. Measured by the same individual taking the same test more than once
Graphs (types)
ratio variables
External validity (+types)
Test-retest reliability
16. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Pearson r correlation coefficient
T-score
California Personality Inventory (CPI)
interval variables
17. Similar to word association - finish incomplete sentences
histogram
independent variable
Empirical-keying or criterion-keying approach
Rotter Incomplete Sentence Blank
18. Subjects alter behaviour because they are being observed
ordinal variables
independent variable
Hawthorne effect
Spearman r correlation coefficient
19. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Concurrent validity
Two-way ANOVA
Scientific approach
Anne Anastasi
20. There is a general factor in intelligence 'g'
cohort effect
Alpha levels
Stanford-Binet Intelligence Scale
Charles Spearmen
21. Measure mastery in a particular area (e.g. final exam)
Criterion-referenced tests
Variability
Selective attrition
Descriptive statistics (+types)
22. 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
generalizability
T-test
normal distribution(+characteristic)
Vocational tests
23. 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%
Percentages under normal distribution based on SDs (from mean to end)
Internal validity
Achievement tests
Standard normal distributions
24. 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
Donald Campbell and Donald Fiske
Meta-analysis
Null hypothesis
quasi-experimental design
25. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
variance (calculation)
Draw-A-Person Test
quasi-experimental design
Correlational relationships
26. 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
research design
variance and standard deviation
Achievement tests
Descriptive statistics (+types)
27. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
research design
double-blind experiment
Criterion-referenced tests
Strong-Campbell Interest Inventory
28. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Nonequivalent control group
double-blind experiment
Two-way ANOVA
Field study
29. Created multitrait-multimethod technique to determine validity of tests
Donald Campbell and Donald Fiske
Correlational relationships
Rosenthal effect
mental age
30. Knowing how to do something
nominal variables
Fluid intelligence
Hawthorne effect
Experimental design
31. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
ratio variables
T-score
Split-half reliability
nominal variables
32. Originally used with free association techniques; word called out - subject says next word in mind
placebo
Cross validation
Linear regression
Word Association Test
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
Selective attrition
Empirical-keying or criterion-keying approach
Rotter Incomplete Sentence Blank
California Personality Inventory (CPI)
34. Internal-External Locus of Control Scale
Julian Rotter
interval variables
Objective tests (+types)
standard error of mean
35. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Walter Mischel
Discrete data
Myers-Brigg Type Indicator (MBTI)
Statistical regression
36. 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
dependent variable
Content validity
Mean IQ
mental age
37. Whether test items look like they measure the construct
Statistical regression
histogram
Intelligence
Face validity
38. Assess extent interests and strengths match those found by professionals in a particular job field
Demand characteristic
Achievement tests
Curvilinear relationship
Vocational tests
39. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Face validity
normal distribution(+characteristic)
Concurrent validity
Mean IQ
40. Developed concept of IQ and first intelligence test (Binet Scale)
Alfred Binet
ratio variables
random sampling
Wechsler Adult Intelligence Scale (WAIS)
41. Used when equivalent one cannot be isolated
Content validity
between subject
Nonequivalent control group
Projective tests (+types)
42. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Face validity
Julian Rotter
Walter Mischel
Criterion-referenced tests
43. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Rosenzweig Picture-Frustration (P-F) Study
Validity (+types)
Percentages under normal distribution based on SDs (from mean to end)
Goodenough Draw-A-Man Test
44. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Percentages under normal distribution based on SDs (from mean to end)
Two-way ANOVA
Face validity
Validity (+types)
45. 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
Anne Anastasi
Rosenthal effect
Reactance
bar graph
46. 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
Reactance
Selective attrition
Alpha levels
Goodenough Draw-A-Man Test
47. Does not control - but examines how independent variable affects it
quasi-experimental design
Demand characteristic
dependent variable
Minnesota Multiphasic Personality Inventory (MMPI)
48. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Curvilinear relationship
Population & related
Charles Spearmen
Rorschach Inkblot Test
49. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Lewis Terman
Demand characteristic
Achievement tests
Wechsler Adult Intelligence Scale (WAIS)
50. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
Alfred Binet
normal distribution(+characteristic)
Julian Rotter