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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. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Aptitude tests
Lie detector tests
Analysis of covariance (ANCOVA)
Stanford-Binet Intelligence Scale
2. Whether test items look like they measure the construct
Two-way ANOVA
Internal validity
Correlational relationships
Face validity
3. Bell curve; larger the sample - greater chance of having a normal distribution
generalizability
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
normal distribution(+characteristic)
Discrete data
4. Measure innate ability to learn (debatable) - to predict later performance
Demand characteristic
Aptitude tests
Split-half reliability
nominal variables
5. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
percentiles
Rotter Incomplete Sentence Blank
External validity (+types)
Split-half reliability
6. 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
Q-sort/measure
Hawthorne effect
Correlational relationships
Myers-Brigg Type Indicator (MBTI)
7. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Face validity
independent variable
normal distribution(+characteristic)
Split-half reliability
8. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Face validity
Field study
Demand characteristic
One-way ANOVA
9. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Domain-referenced tests
cohort-sequential design
ANOVA/analysis of variance
Inferential statistics
10. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
placebo
within subject
Type I and II errors
Null hypothesis
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
Type I and II errors
social desirability
Z-scores
Word Association Test
12. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Mean IQ
quasi-experimental design
Factorial analysis of variance
Beck Depression Inventory (BDI)
13. Have order - equal intervals and a real zero ex: age
Lie detector tests
ratio variables
Vocational tests
Mean IQ
14. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Content validity
interval variables
Linear regression
Rotter Incomplete Sentence Blank
15. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
random sampling
Validity (+types)
double-blind experiment
Projective tests (+types)
16. The degree to which an independent variable can predict a dependent variable
Concurrent validity
Myers-Brigg Type Indicator (MBTI)
predictive value
ratio variables
17. Calculates how off the mean might be in either direction
Frequency distributions (+variables)
Lewis Terman
Crystallized intelligence
standard error of mean
18. Does not control - but examines how independent variable affects it
Learn the shape of different distributions
Z-scores
Internal validity
dependent variable
19. When people agree with opposing statements; giving tacit agreement
Word Association Test
Face validity
median
Acquiescence
20. Different subjects of different ages are compared - faster - easier
Myers-Brigg Type Indicator (MBTI)
Linear regression
mode
cross-sectional design
21. 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
Hawthorne effect
quasi-experimental design
T-score
median
22. The age level of a person'S functioning according to the IQ test
mental age
nominal variables
Two-way ANOVA
ordinal variables
23. 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
Stanford-Binet Intelligence Scale
variance (calculation)
Meta-analysis
Linear regression
24. 31 cards (1 blank and 30 pictures) with interpersonal scenes (2 people facing each other); subject tells story about each which reveals aspects of personality; often measure need for achievement; interpreting terms include needs - press - personology
Graphs (types)
Word Association Test
One-way ANOVA
Thematic Apperception Test (TAT)
25. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Anne Anastasi
ratio variables
variance (calculation)
Word Association Test
26. The process of representing or analyzing numerical data
ANOVA/analysis of variance
statistics
Internal-External Locus of Control Scale
Scientific approach
27. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
double-blind experiment
Alfred Binet
John Horn and Raymond Cattell
Graphs (types)
28. Every member of the population has an equal chance of being chosen for the sample
random sampling
Fluid intelligence
Longitudinal design
Demand characteristic
29. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Fluid intelligence
One-way ANOVA
Scientific approach
independent variable
30. Compares 2 groups of people at the same time point
Standard normal distributions
between subject
John Horn and Raymond Cattell
Alpha levels
31. 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
Charles Spearmen
Chi-square test
Projective tests (+types)
Fluid intelligence
32. 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
standard deviation (calculation)
stratified sampling
T-test
Lie detector tests
33. 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
Wechsler Adult Intelligence Scale (WAIS)
confounding variable
Goodenough Draw-A-Man Test
Domain-referenced tests
34. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
interval variables
ratio variables
Standard normal distributions
Field study
35. When subject behave differently just because they thing that they have received the treatment substance or condition
standard error of mean
IQ Binet'S equation
cohort-sequential design
placebo effect
36. The degree to which the result from an experiment can be applied to the population and the real world
Strong-Campbell Interest Inventory
IQ Binet'S equation
generalizability
Thematic Apperception Test (TAT)
37. 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
between subject
cohort effect
Factorial analysis of variance
variance (calculation)
38. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
One-way ANOVA
stratified sampling
Frequency distributions (+variables)
Objective tests (+types)
39. Knowing how to do something
Achievement tests
quasi-experimental design
Fluid intelligence
Internal-External Locus of Control Scale
40. Similar to word association - finish incomplete sentences
Domain-referenced tests
Experimenter bias
Rotter Incomplete Sentence Blank
Achievement tests
41. Originally used with free association techniques; word called out - subject says next word in mind
Word Association Test
double-blind experiment
IQ Binet'S equation
placebo effect
42. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Pearson r correlation coefficient
Rorschach Inkblot Test
Scientific approach
Concurrent validity
43. (Mental age/chronological age)/100 - Highest age = 16
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44. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Continuous data
Julian Rotter
Chi-square test
nominal variables
45. For children 6-16
Correlational relationships
normal distribution(+characteristic)
Wechsler Intelligence Scale for Children (WISC-R)
Variability
46. When subjects act in ways they think experimenter wants or expects
Anne Anastasi
Demand characteristic
histogram
Mean IQ
47. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Q-sort/measure
Concurrent validity
Myers-Brigg Type Indicator (MBTI)
Crystallized intelligence
48. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Lie detector tests
Beck Depression Inventory (BDI)
Wechsler Adult Intelligence Scale (WAIS)
mental age
49. 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
Intelligence
Descriptive statistics (+types)
stratified sampling
ordinal variables
50. 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)
Linear regression
Alfred Binet
research design