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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. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
confounding variable
Intelligence
standard deviation (calculation)
Correlational relationships
2. The most frequently occurring value
mode
Item analysis (reliability)
percentiles
Reliability (+types)
3. 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
stratified sampling
Curvilinear relationship
between subject
Central Tendency (types and distribution differences)
4. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
ratio variables
Split-half reliability
Rorschach Inkblot Test
Julian Rotter
5. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
percentiles
Myers-Brigg Type Indicator (MBTI)
T-test
California Personality Inventory (CPI)
6. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimenter bias
independent variable
Two-way ANOVA
Type I and II errors
7. There is a general factor in intelligence 'g'
Charles Spearmen
Longitudinal design
Discrete data
Statistical regression
8. Data that has been counted rather than measured - usually limited to whole or positive values - ex: group size - number of hospital visit - number of symptoms
Word Association Test
Mean IQ
Projective tests (+types)
Discrete data
9. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Rorschach Inkblot Test
stratified sampling
Charles Spearmen
statistics
10. The age level of a person'S functioning according to the IQ test
Internal validity
Scientific approach
Vocational tests
mental age
11. Interest in the effect of independent variable on the dependent variable - often manipulated by applying it in experimental or treatment condition and withholding it from control condition
nominal variables
Selective attrition
Pearson r correlation coefficient
independent variable
12. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
Population & related
Rosenthal effect
Linear regression
frequency polygon
13. Tests the same person at multiple time points and looks at changes within that person
Robert Zajonc
within subject
nominal variables
Q-sort/measure
14. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Longitudinal design
Lewis Terman
Graphs (types)
Internal-External Locus of Control Scale
15. Tests the effects of two independent variables or treatment conditions at once
Robert Zajonc
Curvilinear relationship
Julian Rotter
Two-way ANOVA
16. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
John Horn and Raymond Cattell
normal distribution(+characteristic)
Pearson r correlation coefficient
Experimental design
17. How much variation there is among n number of scores in a distribution
median
Reactance
variance and standard deviation
cohort effect
18. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
frequency polygon
One-way ANOVA
Robert Zajonc
Population & related
19. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Population & related
standard deviation (calculation)
Strong-Campbell Interest Inventory
Statistical regression
20. Used when an experiment involves more than one independent variable - can separate the effects of different levels of different variables - can isolate main effects - can identify interaction effects - ex: studying effect of brain lesion on problem s
Reactance
T-test
Factorial analysis of variance
Robert Zajonc
21. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
ordinal variables
Pearson r correlation coefficient
Alfred Binet
One-way ANOVA
22. When people agree with opposing statements; giving tacit agreement
Acquiescence
California Personality Inventory (CPI)
Null hypothesis
Fluid intelligence
23. For even number of values in the set - take the average of the two middle value
statistics
Empirical-keying or criterion-keying approach
Cross validation
median
24. 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
placebo
Descriptive statistics (+types)
Rotter Incomplete Sentence Blank
histogram
25. Assess extent interests and strengths match those found by professionals in a particular job field
Aptitude tests
Fluid intelligence
Anne Anastasi
Vocational tests
26. How the score are spread out overall
Population & related
Variability
Descriptive statistics (+types)
Fluid intelligence
27. Experimenter bias; researchers see what they want to see; minimized in double-blind
Rosenthal effect
Meta-analysis
Standard normal distributions
Experimental design
28. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Anne Anastasi
Content validity
cohort effect
Hawthorne effect
29. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
Scientific approach
stratified sampling
Walter Mischel
Strong-Campbell Interest Inventory
30. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
standard deviation (calculation)
Intelligence
Robert Zajonc
Statistical regression
31. 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
Acquiescence
Face validity
generalizability
Goodenough Draw-A-Man Test
32. 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%
normal distribution(+characteristic)
Aptitude tests
Percentages under normal distribution based on SDs (from mean to end)
Internal-External Locus of Control Scale
33. Measured by the same individual taking the same test more than once
Test-retest reliability
Q-sort/measure
standard error of mean
Selective attrition
34. Measure mastery in a particular area (e.g. final exam)
Inferential statistics
Wechsler Intelligence Scale for Children (WISC-R)
Criterion-referenced tests
Concurrent validity
35. Subjects alter behaviour because they are being observed
Lie detector tests
Hawthorne effect
statistically significant
within subject
36. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
research design
Pearson r correlation coefficient
ratio variables
Inferential statistics
37. Does not control - but examines how independent variable affects it
percentiles
Word Association Test
dependent variable
Wechsler Intelligence Scale for Children (WISC-R)
38. For children 6-16
Criterion-referenced tests
Wechsler Intelligence Scale for Children (WISC-R)
between subject
Item analysis (reliability)
39. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
median
Discrete data
Domain-referenced tests
Bayley Scales of Infant Development
40. Draw a person of each sex and tell a story about them
Wechsler Adult Intelligence Scale (WAIS)
mental age
California Personality Inventory (CPI)
Draw-A-Person Test
41. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Population & related
interval variables
standard deviation (calculation)
Domain-referenced tests
42. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
range
Null hypothesis
confounding variable
histogram
43. 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
Reactance
Minnesota Multiphasic Personality Inventory (MMPI)
ordinal variables
44. Calculates how off the mean might be in either direction
standard error of mean
Lewis Terman
random sampling
Alfred Binet
45. When subject behave differently just because they thing that they have received the treatment substance or condition
Acquiescence
Aptitude tests
Internal-External Locus of Control Scale
placebo effect
46. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Internal-External Locus of Control Scale
cross-sectional design
Objective tests (+types)
Standard normal distributions
47. 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
Variability
Mean IQ
Linear regression
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
48. Every member of the population has an equal chance of being chosen for the sample
John Horn and Raymond Cattell
random sampling
Frequency distributions (+variables)
Selective attrition
49. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Experimenter bias
Meta-analysis
Aptitude tests
Stanford-Binet Intelligence Scale
50. Developed concept of IQ and first intelligence test (Binet Scale)
Statistical regression
social desirability
interval variables
Alfred Binet