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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. How much variation there is among n number of scores in a distribution
Type I and II errors
variance and standard deviation
Beck Depression Inventory (BDI)
range
2. Tests the effects of two independent variables or treatment conditions at once
quasi-experimental design
Two-way ANOVA
Internal-External Locus of Control Scale
mode
3. The degree to which an independent variable can predict a dependent variable
Frequency distributions (+variables)
Julian Rotter
predictive value
Meta-analysis
4. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Analysis of covariance (ANCOVA)
ratio variables
Scientific approach
T-score
5. Measure how well you know a subject - measure past learning
independent variable
ratio variables
Achievement tests
cross-sectional design
6. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
IQ Binet'S equation
Goodenough Draw-A-Man Test
Strong-Campbell Interest Inventory
Construct validity
7. Does not control - but examines how independent variable affects it
Test-retest reliability
percentiles
dependent variable
T-score
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
range
statistics
Discrete data
Alpha levels
9. 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
confounding variable
variance and standard deviation
Pearson r correlation coefficient
Draw-A-Person Test
10. 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
statistics
histogram
stratified sampling
double-blind experiment
11. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
Pearson r correlation coefficient
Population & related
Wechsler Adult Intelligence Scale (WAIS)
12. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Experimental design
Beck Depression Inventory (BDI)
California Personality Inventory (CPI)
Myers-Brigg Type Indicator (MBTI)
13. Bell curve; larger the sample - greater chance of having a normal distribution
Percentages under normal distribution based on SDs (from mean to end)
normal distribution(+characteristic)
between subject
range
14. 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
Reactance
Aptitude tests
percentiles
Standard normal distributions
15. For children 6-16
Wechsler Intelligence Scale for Children (WISC-R)
Chi-square test
Criterion-referenced tests
Test-retest reliability
16. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Population & related
Z-scores
Experimenter bias
Curvilinear relationship
17. The age level of a person'S functioning according to the IQ test
California Personality Inventory (CPI)
mental age
histogram
Word Association Test
18. Knowing how to do something
ANOVA/analysis of variance
Fluid intelligence
Demand characteristic
Continuous data
19. 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
Charles Spearmen
statistically significant
variance (calculation)
Objective tests (+types)
20. Have order - equal intervals and a real zero ex: age
ratio variables
Lewis Terman
standard deviation (calculation)
Frequency distributions (+variables)
21. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove
Empirical-keying or criterion-keying approach
Field study
Construct validity
standard error of mean
22. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type
Type I and II errors
Vocational tests
Achievement tests
Objective tests (+types)
23. How the score are spread out overall
Rorschach Inkblot Test
Nonequivalent control group
Longitudinal design
Variability
24. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Word Association Test
Item analysis (reliability)
statistically significant
frequency polygon
25. Anything that is measured such as height or depression score on a depression scale
Continuous data
Word Association Test
Construct validity
placebo
26. The most frequently occurring value
Pearson r correlation coefficient
Word Association Test
standard deviation (calculation)
mode
27. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
mode
Scientific approach
Continuous data
Wechsler Adult Intelligence Scale (WAIS)
28. 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
Two-way ANOVA
Myers-Brigg Type Indicator (MBTI)
Linear regression
Type I and II errors
29. Combines longitudinal and cross-sectional approach
Percentages under normal distribution based on SDs (from mean to end)
normal distribution(+characteristic)
Crystallized intelligence
cohort-sequential design
30. Similar to word association - finish incomplete sentences
Discrete data
Rotter Incomplete Sentence Blank
quasi-experimental design
double-blind experiment
31. Knowing a fact
Objective tests (+types)
confounding variable
Illusory correlation
Crystallized intelligence
32. Different subjects of different ages are compared - faster - easier
Pearson r correlation coefficient
statistically significant
median
cross-sectional design
33. Compares 2 groups of people at the same time point
Null hypothesis
Domain-referenced tests
between subject
bar graph
34. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Vocational tests
Word Association Test
normal distribution(+characteristic)
Correlational relationships
35. The process of representing or analyzing numerical data
generalizability
IQ Binet'S equation
Word Association Test
statistics
36. Measured by the same individual taking the same test more than once
dependent variable
Graphs (types)
independent variable
Test-retest reliability
37. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Type I and II errors
Demand characteristic
placebo
interval variables
38. How stable measure is; test-retest - split-half
social desirability
Reliability (+types)
Two-way ANOVA
Strong-Campbell Interest Inventory
39. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Lie detector tests
cohort effect
Face validity
ordinal variables
40. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Statistical regression
Standard normal distributions
cross-sectional design
Fluid intelligence
41. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Correlational relationships
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
External validity (+types)
median
42. For even number of values in the set - take the average of the two middle value
median
Graphs (types)
double-blind experiment
generalizability
43. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Concurrent validity
Frequency distributions (+variables)
independent variable
Factorial analysis of variance
44. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
normal distribution(+characteristic)
placebo
research design
Type I and II errors
45. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Demand characteristic
Z-scores
interval variables
nominal variables
46. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
variance (calculation)
Longitudinal design
Null hypothesis
Field study
47. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
placebo
variance (calculation)
Hawthorne effect
Rorschach Inkblot Test
48. Measure of fascism or authoritarian personality
F-scale or F-ratio
nominal variables
Empirical-keying or criterion-keying approach
Experimental design
49. 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
T-test
Wechsler Adult Intelligence Scale (WAIS)
Crystallized intelligence
generalizability
50. Rosenthal effect; researchers see what they want to see; minimized in double-blind
T-test
Internal-External Locus of Control Scale
Experimenter bias
Meta-analysis