SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. Similar to word association - finish incomplete sentences
Robert Zajonc
Rotter Incomplete Sentence Blank
Nonequivalent control group
stratified sampling
2. When subjects that drop out are different than those that remain; no longer random
Selective attrition
Objective tests (+types)
bar graph
Null hypothesis
3. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Crystallized intelligence
Mean IQ
Analysis of covariance (ANCOVA)
stratified sampling
4. The degree to which the result from an experiment can be applied to the population and the real world
Q-sort/measure
variance and standard deviation
generalizability
Goodenough Draw-A-Man Test
5. Whether test really taps abstract concept being measured
Construct validity
generalizability
Linear regression
Field study
6. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
One-way ANOVA
double-blind experiment
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Hawthorne effect
7. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
Scientific approach
Strong-Campbell Interest Inventory
Stanford-Binet Intelligence Scale
Demand characteristic
8. Internal-External Locus of Control Scale
Q-sort/measure
Julian Rotter
Internal validity
social desirability
9. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Continuous data
Rosenthal effect
Experimental design
mental age
10. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Experimental design
Hawthorne effect
ANOVA/analysis of variance
Anne Anastasi
11. Every member of the population has an equal chance of being chosen for the sample
Statistical regression
Concurrent validity
placebo effect
random sampling
12. Calculates how off the mean might be in either direction
cohort-sequential design
Domain-referenced tests
percentiles
standard error of mean
13. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
social desirability
Julian Rotter
Correlational relationships
Pearson r correlation coefficient
14. For even number of values in the set - take the average of the two middle value
normal distribution(+characteristic)
Rosenzweig Picture-Frustration (P-F) Study
median
Intelligence
15. Used when equivalent one cannot be isolated
Robert Zajonc
Nonequivalent control group
Domain-referenced tests
External validity (+types)
16. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Longitudinal design
range
Aptitude tests
random sampling
17. Have order - equal intervals and a real zero ex: age
cross-sectional design
Cross validation
ratio variables
Strong-Campbell Interest Inventory
18. The hypothesis that no real differences or pattern exist
dependent variable
Fluid intelligence
Mean IQ
Null hypothesis
19. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
variance and standard deviation
placebo
Rosenzweig Picture-Frustration (P-F) Study
Rotter Incomplete Sentence Blank
20. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Population & related
Curvilinear relationship
standard deviation (calculation)
mental age
21. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
External validity (+types)
Mean IQ
Internal-External Locus of Control Scale
social desirability
22. Process in testing concurrent validity
Cross validation
Bayley Scales of Infant Development
double-blind experiment
Walter Mischel
23. 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
cohort effect
Descriptive statistics (+types)
variance and standard deviation
Q-sort/measure
24. Sorting cards into a normal distribution; each has a different statement on it about personality; to one end is 'least like self' - other is 'most like self' - and middle is neutral; factor analysis to reduce viewpoints into a few factors
nominal variables
Q-sort/measure
mental age
Word Association Test
25. 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%
Alpha levels
Demand characteristic
Illusory correlation
independent variable
26. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Word Association Test
Reactance
Experimenter bias
Factorial analysis of variance
27. Fluid intelligence declines with old age while crystallized intelligence does not
John Horn and Raymond Cattell
Central Tendency (types and distribution differences)
Population & related
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
28. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Z-scores
Word Association Test
Split-half reliability
Walter Mischel
29. Bell curve; larger the sample - greater chance of having a normal distribution
Content validity
Construct validity
normal distribution(+characteristic)
mode
30. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
cohort-sequential design
percentiles
placebo
Graphs (types)
31. For ranks; determining the line that describes a linear relationship
histogram
Spearman r correlation coefficient
quasi-experimental design
Draw-A-Person Test
32. Similar to T-test - but can measure more than 2 groups
Donald Campbell and Donald Fiske
standard deviation (calculation)
Learn the shape of different distributions
ANOVA/analysis of variance
33. How stable measure is; test-retest - split-half
independent variable
Reliability (+types)
range
cohort-sequential design
34. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Two-way ANOVA
Empirical-keying or criterion-keying approach
random sampling
Rosenzweig Picture-Frustration (P-F) Study
35. Like a histogram except that the vertical bars do not touch - various columns are separated by space
Null hypothesis
bar graph
Goodenough Draw-A-Man Test
ordinal variables
36. Knowing how to do something
Fluid intelligence
Achievement tests
statistically significant
Intelligence
37. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Lewis Terman
Validity (+types)
cohort effect
ordinal variables
38. Compares 2 groups of people like an experiment - but this is used when it is not feasible or ethical to use random assignment ex: smoker vs. cancer
Goodenough Draw-A-Man Test
Type I and II errors
quasi-experimental design
ratio variables
39. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
Strong-Campbell Interest Inventory
Anne Anastasi
Meta-analysis
40. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Alpha levels
Stanford-Binet Intelligence Scale
Criterion-referenced tests
Item analysis (reliability)
41. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Robert Zajonc
Reliability (+types)
standard deviation (calculation)
F-scale or F-ratio
42. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
Beck Depression Inventory (BDI)
independent variable
social desirability
normal distribution(+characteristic)
43. The most frequently occurring value
Vocational tests
Beck Depression Inventory (BDI)
Internal validity
mode
44. Tests the effects of two independent variables or treatment conditions at once
T-score
Experimental design
Crystallized intelligence
Two-way ANOVA
45. 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
John Horn and Raymond Cattell
Donald Campbell and Donald Fiske
Word Association Test
Objective tests (+types)
46. How much variation there is among n number of scores in a distribution
Mean IQ
between subject
Validity (+types)
variance and standard deviation
47. When subjects do and say what they think puts them in a favorable light -ex: reporting they are not racist even if they really are
Inferential statistics
Construct validity
social desirability
Draw-A-Person Test
48. The effect that might result when a group is born and raised in a particular time period
Alfred Binet
California Personality Inventory (CPI)
cohort effect
percentiles
49. Compares 2 groups of people at the same time point
Anne Anastasi
Reliability (+types)
between subject
Internal validity
50. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
John Horn and Raymond Cattell
IQ Binet'S equation
cohort-sequential design
double-blind experiment