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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. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Stanford-Binet Intelligence Scale
Myers-Brigg Type Indicator (MBTI)
Rotter Incomplete Sentence Blank
Projective tests (+types)
2. Knowing a fact
One-way ANOVA
Rosenthal effect
Crystallized intelligence
statistics
3. How the score are spread out overall
Variability
Intelligence
T-test
Reactance
4. 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
generalizability
Percentages under normal distribution based on SDs (from mean to end)
Linear regression
Fluid intelligence
5. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Thematic Apperception Test (TAT)
ANOVA/analysis of variance
Reactance
Anne Anastasi
6. 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
Descriptive statistics (+types)
T-score
F-scale or F-ratio
Draw-A-Person Test
7. How stable measure is; test-retest - split-half
Z-scores
Donald Campbell and Donald Fiske
Reliability (+types)
Aptitude tests
8. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
stratified sampling
Two-way ANOVA
ordinal variables
Empirical-keying or criterion-keying approach
9. Whether test items look like they measure the construct
Face validity
Meta-analysis
Demand characteristic
Achievement tests
10. The age level of a person'S functioning according to the IQ test
Descriptive statistics (+types)
Meta-analysis
statistics
mental age
11. Experimenter bias; researchers see what they want to see; minimized in double-blind
Rosenthal effect
Beck Depression Inventory (BDI)
social desirability
Z-scores
12. When subjects act in ways they think experimenter wants or expects
T-score
Beck Depression Inventory (BDI)
Central Tendency (types and distribution differences)
Demand characteristic
13. 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
Type I and II errors
Selective attrition
Rotter Incomplete Sentence Blank
Empirical-keying or criterion-keying approach
14. Different subjects of different ages are compared - faster - easier
Demand characteristic
Factorial analysis of variance
cross-sectional design
variance and standard deviation
15. Process in testing concurrent validity
nominal variables
Cross validation
Charles Spearmen
mode
16. 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
Z-scores
Illusory correlation
Reactance
17. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Longitudinal design
Experimenter bias
Robert Zajonc
variance (calculation)
18. 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
Myers-Brigg Type Indicator (MBTI)
Graphs (types)
Frequency distributions (+variables)
confounding variable
19. Like a histogram except that the vertical bars do not touch - various columns are separated by space
percentiles
bar graph
quasi-experimental design
Fluid intelligence
20. The degree to which an independent variable can predict a dependent variable
predictive value
Field study
Projective tests (+types)
Reactance
21. 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
Illusory correlation
variance and standard deviation
variance (calculation)
Bayley Scales of Infant Development
22. Measure of fascism or authoritarian personality
Rosenthal effect
between subject
standard deviation (calculation)
F-scale or F-ratio
23. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
nominal variables
variance (calculation)
Anne Anastasi
24. 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
Mean IQ
Curvilinear relationship
Donald Campbell and Donald Fiske
Anne Anastasi
25. Used most commonly on standardized test
Internal-External Locus of Control Scale
percentiles
Statistical regression
T-test
26. Measure mastery in a particular area (e.g. final exam)
stratified sampling
Vocational tests
Criterion-referenced tests
cohort-sequential design
27. Aims to match demographic characteristics to population (i.e. 50% female - etc)
T-score
stratified sampling
nominal variables
dependent variable
28. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Minnesota Multiphasic Personality Inventory (MMPI)
Z-scores
random sampling
Inferential statistics
29. Whether test really taps abstract concept being measured
Split-half reliability
Construct validity
Rosenthal effect
T-test
30. 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
Correlational relationships
double-blind experiment
Central Tendency (types and distribution differences)
Walter Mischel
31. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Graphs (types)
Central Tendency (types and distribution differences)
Wechsler Adult Intelligence Scale (WAIS)
Statistical regression
32. Measured by the same individual taking the same test more than once
Type I and II errors
Variability
Longitudinal design
Test-retest reliability
33. Combines longitudinal and cross-sectional approach
Face validity
Pearson r correlation coefficient
cohort-sequential design
Mean IQ
34. 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
Alfred Binet
Frequency distributions (+variables)
placebo
Factorial analysis of variance
35. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Robert Zajonc
Experimenter bias
Lie detector tests
Validity (+types)
36. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Correlational relationships
histogram
Discrete data
Bayley Scales of Infant Development
37. Not IQ - It is unlikely IQ captures all facets of it
Item analysis (reliability)
ratio variables
ANOVA/analysis of variance
Intelligence
38. Measure how well you know a subject - measure past learning
dependent variable
Achievement tests
Aptitude tests
Fluid intelligence
39. Rosenthal effect; researchers see what they want to see; minimized in double-blind
F-scale or F-ratio
Experimenter bias
cohort effect
Statistical regression
40. Assess extent interests and strengths match those found by professionals in a particular job field
Type I and II errors
Vocational tests
Goodenough Draw-A-Man Test
Thematic Apperception Test (TAT)
41. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
One-way ANOVA
Mean IQ
Factorial analysis of variance
42. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Julian Rotter
Crystallized intelligence
statistically significant
Type I and II errors
43. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Strong-Campbell Interest Inventory
External validity (+types)
Content validity
placebo
44. 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 -
cohort-sequential design
Chi-square test
Inferential statistics
Internal-External Locus of Control Scale
45. Draw a person of each sex and tell a story about them
dependent variable
Statistical regression
Draw-A-Person Test
Q-sort/measure
46. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
statistically significant
Descriptive statistics (+types)
Field study
External validity (+types)
47. The hypothesis that no real differences or pattern exist
Anne Anastasi
Longitudinal design
Criterion-referenced tests
Null hypothesis
48. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Illusory correlation
predictive value
Empirical-keying or criterion-keying approach
Validity (+types)
49. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Projective tests (+types)
Analysis of covariance (ANCOVA)
variance and standard deviation
within subject
50. 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
Chi-square test
Reactance
median
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)