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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. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Concurrent validity
placebo effect
Statistical regression
normal distribution(+characteristic)
2. Combines longitudinal and cross-sectional approach
cohort-sequential design
Walter Mischel
Lie detector tests
social desirability
3. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Illusory correlation
Experimenter bias
Charles Spearmen
Q-sort/measure
4. Subjects alter behaviour because they are being observed
random sampling
interval variables
bar graph
Hawthorne effect
5. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
variance and standard deviation
Rosenthal effect
Learn the shape of different distributions
Z-scores
6. When relationship inferred when there is none - ex: many people think there is a relationship between physical and personality characteristics - when evidence show there is none
Illusory correlation
percentiles
F-scale or F-ratio
Minnesota Multiphasic Personality Inventory (MMPI)
7. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Experimental design
Two-way ANOVA
Inferential statistics
Julian Rotter
8. 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
California Personality Inventory (CPI)
Split-half reliability
Goodenough Draw-A-Man Test
Alpha levels
9. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Alfred Binet
Item analysis (reliability)
ratio variables
interval variables
10. Every member of the population has an equal chance of being chosen for the sample
random sampling
IQ Binet'S equation
Curvilinear relationship
standard deviation (calculation)
11. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Rorschach Inkblot Test
placebo
variance and standard deviation
Inferential statistics
12. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Domain-referenced tests
Descriptive statistics (+types)
quasi-experimental design
13. How stable measure is; test-retest - split-half
Reliability (+types)
Projective tests (+types)
dependent variable
Linear regression
14. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Standard normal distributions
mode
cohort-sequential design
Minnesota Multiphasic Personality Inventory (MMPI)
15. How much variation there is among n number of scores in a distribution
Null hypothesis
variance and standard deviation
Internal-External Locus of Control Scale
Rorschach Inkblot Test
16. A level of <0.05or <0.01 means that chance that seemingly significant errors are due to random variation rather than to true systematic variance is less than 5% or 1%
frequency polygon
Alpha levels
predictive value
variance and standard deviation
17. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)
statistically significant
Selective attrition
Scientific approach
interval variables
18. The degree to which an independent variable can predict a dependent variable
Longitudinal design
Pearson r correlation coefficient
Aptitude tests
predictive value
19. 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
Chi-square test
mode
Empirical-keying or criterion-keying approach
Crystallized intelligence
20. Measured by the same individual taking the same test more than once
Frequency distributions (+variables)
Minnesota Multiphasic Personality Inventory (MMPI)
Z-scores
Test-retest reliability
21. 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
within subject
Beck Depression Inventory (BDI)
Reactance
standard error of mean
22. 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
Crystallized intelligence
Fluid intelligence
Bayley Scales of Infant Development
confounding variable
23. 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
Scientific approach
Item analysis (reliability)
T-test
Factorial analysis of variance
24. 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)
Acquiescence
IQ Binet'S equation
Linear regression
25. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Central Tendency (types and distribution differences)
Z-scores
Lewis Terman
statistics
26. Aims to match demographic characteristics to population (i.e. 50% female - etc)
cohort-sequential design
random sampling
Continuous data
stratified sampling
27. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
bar graph
Walter Mischel
interval variables
Selective attrition
28. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Correlational relationships
Z-scores
Anne Anastasi
Acquiescence
29. How the score are spread out overall
variance and standard deviation
Variability
placebo
Content validity
30. There is a general factor in intelligence 'g'
Split-half reliability
Nonequivalent control group
Stanford-Binet Intelligence Scale
Charles Spearmen
31. 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
Type I and II errors
Frequency distributions (+variables)
Central Tendency (types and distribution differences)
T-score
32. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Bayley Scales of Infant Development
Nonequivalent control group
IQ Binet'S equation
Thematic Apperception Test (TAT)
33. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
variance and standard deviation
placebo
interval variables
Correlational relationships
34. Measure innate ability to learn (debatable) - to predict later performance
Mean IQ
Field study
mode
Aptitude tests
35. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
External validity (+types)
Two-way ANOVA
independent variable
predictive value
36. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Null hypothesis
Hawthorne effect
Strong-Campbell Interest Inventory
Illusory correlation
37. Have order - equal intervals and a real zero ex: age
Demand characteristic
ratio variables
Goodenough Draw-A-Man Test
Descriptive statistics (+types)
38. The effect that might result when a group is born and raised in a particular time period
Strong-Campbell Interest Inventory
cohort effect
Charles Spearmen
Longitudinal design
39. Whether content covers a good sample of construct being measured
Face validity
Empirical-keying or criterion-keying approach
Population & related
Content validity
40. 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)
placebo effect
median
Population & related
41. Fluid intelligence declines with old age while crystallized intelligence does not
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Standard normal distributions
Type I and II errors
John Horn and Raymond Cattell
42. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
standard deviation (calculation)
interval variables
Bayley Scales of Infant Development
Goodenough Draw-A-Man Test
43. Knowing how to do something
Experimenter bias
Fluid intelligence
Face validity
Domain-referenced tests
44. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Myers-Brigg Type Indicator (MBTI)
Z-scores
range
Item analysis (reliability)
45. Measure of fascism or authoritarian personality
placebo
F-scale or F-ratio
Z-scores
Strong-Campbell Interest Inventory
46. 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
nominal variables
T-test
predictive value
Scientific approach
47. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Word Association Test
Correlational relationships
Graphs (types)
Crystallized intelligence
48. Used most commonly on standardized test
generalizability
Achievement tests
percentiles
Standard normal distributions
49. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Statistical regression
Discrete data
bar graph
mental age
50. The process of representing or analyzing numerical data
double-blind experiment
Descriptive statistics (+types)
Percentages under normal distribution based on SDs (from mean to end)
statistics