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Test your basic knowledge |
GRE Psychology: Measurement And Methodology
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Subjects
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gre
,
psychology
Instructions:
Answer 50 questions in 15 minutes.
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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 the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
double-blind experiment
T-test
Content validity
variance (calculation)
2. 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
random sampling
independent variable
Internal validity
3. When subject behave differently just because they thing that they have received the treatment substance or condition
Bayley Scales of Infant Development
Empirical-keying or criterion-keying approach
ANOVA/analysis of variance
placebo effect
4. Measures the extent to which items in a measure 'hang together' and test the same thing
Demand characteristic
Z-scores
Null hypothesis
Internal validity
5. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Central Tendency (types and distribution differences)
Acquiescence
Lewis Terman
statistics
6. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Robert Zajonc
Objective tests (+types)
Walter Mischel
Central Tendency (types and distribution differences)
7. 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
independent variable
Wechsler Adult Intelligence Scale (WAIS)
Meta-analysis
Reliability (+types)
8. There is a general factor in intelligence 'g'
random sampling
Vocational tests
T-score
Charles Spearmen
9. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
normal distribution(+characteristic)
Scientific approach
histogram
Concurrent validity
10. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
IQ Binet'S equation
Robert Zajonc
Demand characteristic
Learn the shape of different distributions
11. When subjects act in ways they think experimenter wants or expects
Hawthorne effect
Demand characteristic
percentiles
ANOVA/analysis of variance
12. Used most commonly on standardized test
Rosenzweig Picture-Frustration (P-F) Study
percentiles
Central Tendency (types and distribution differences)
nominal variables
13. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Rorschach Inkblot Test
random sampling
Fluid intelligence
Validity (+types)
14. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Scientific approach
Discrete data
Statistical regression
mental age
15. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
T-test
Lie detector tests
Lewis Terman
range
16. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
Strong-Campbell Interest Inventory
histogram
Experimenter bias
17. Measure how well you know a subject - measure past learning
Descriptive statistics (+types)
Construct validity
Achievement tests
Julian Rotter
18. Tests the effects of two independent variables or treatment conditions at once
Two-way ANOVA
Test-retest reliability
Projective tests (+types)
normal distribution(+characteristic)
19. Different subjects of different ages are compared - faster - easier
Walter Mischel
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
cross-sectional design
Graphs (types)
20. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
interval variables
histogram
Lewis Terman
Projective tests (+types)
21. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
random sampling
Z-scores
T-score
statistics
22. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Meta-analysis
Aptitude tests
Bayley Scales of Infant Development
statistically significant
23. 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
Two-way ANOVA
Thematic Apperception Test (TAT)
research design
quasi-experimental design
24. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
dependent variable
Lewis Terman
Wechsler Adult Intelligence Scale (WAIS)
Population & related
25. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Word Association Test
Standard normal distributions
generalizability
confounding variable
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
Mean IQ
Wechsler Adult Intelligence Scale (WAIS)
Continuous data
Descriptive statistics (+types)
27. Assess extent interests and strengths match those found by professionals in a particular job field
Alfred Binet
Robert Zajonc
Julian Rotter
Vocational tests
28. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Draw-A-Person Test
Alpha levels
Correlational relationships
Content validity
29. For children 4-6
Wechsler Intelligence Scale for Children (WISC-R)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
quasi-experimental design
between subject
30. 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
placebo
Goodenough Draw-A-Man Test
Type I and II errors
Donald Campbell and Donald Fiske
31. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)
frequency polygon
Null hypothesis
Word Association Test
variance (calculation)
32. The hypothesis that no real differences or pattern exist
Rosenthal effect
Null hypothesis
Anne Anastasi
Selective attrition
33. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Type I and II errors
range
Validity (+types)
Myers-Brigg Type Indicator (MBTI)
34. For children 6-16
histogram
Empirical-keying or criterion-keying approach
Wechsler Intelligence Scale for Children (WISC-R)
Analysis of covariance (ANCOVA)
35. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
Experimental design
Vocational tests
Descriptive statistics (+types)
research design
36. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Wechsler Adult Intelligence Scale (WAIS)
placebo
Field study
Central Tendency (types and distribution differences)
37. The process of representing or analyzing numerical data
social desirability
normal distribution(+characteristic)
Spearman r correlation coefficient
statistics
38. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
F-scale or F-ratio
Aptitude tests
nominal variables
Criterion-referenced tests
39. Calculates how off the mean might be in either direction
Null hypothesis
placebo effect
standard error of mean
Scientific approach
40. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
interval variables
predictive value
Analysis of covariance (ANCOVA)
Strong-Campbell Interest Inventory
41. For ranks; determining the line that describes a linear relationship
Split-half reliability
California Personality Inventory (CPI)
John Horn and Raymond Cattell
Spearman r correlation coefficient
42. Similar to T-test - but can measure more than 2 groups
ordinal variables
ANOVA/analysis of variance
placebo effect
Discrete data
43. Originally to determine mental illness - now for personality; more clinical than CPI; 550 T/F/unsure questions (e.g. 'I would like to ride a horse'); discriminates between disorders; high validity because highly discriminatory items and 3 validity sc
Minnesota Multiphasic Personality Inventory (MMPI)
Continuous data
Crystallized intelligence
F-scale or F-ratio
44. How stable measure is; test-retest - split-half
Nonequivalent control group
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Reliability (+types)
Charles Spearmen
45. Bell curve; larger the sample - greater chance of having a normal distribution
confounding variable
Factorial analysis of variance
Internal-External Locus of Control Scale
normal distribution(+characteristic)
46. How much variation there is among n number of scores in a distribution
variance and standard deviation
Item analysis (reliability)
Graphs (types)
cohort effect
47. Subjects alter behaviour because they are being observed
Null hypothesis
between subject
Hawthorne effect
Factorial analysis of variance
48. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
dependent variable
placebo
T-test
Lie detector tests
49. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Experimenter bias
interval variables
Anne Anastasi
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
50. 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
Linear regression
ANOVA/analysis of variance
Frequency distributions (+variables)
random sampling
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