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. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Meta-analysis
double-blind experiment
statistically significant
Minnesota Multiphasic Personality Inventory (MMPI)
2. The process of representing or analyzing numerical data
Validity (+types)
Continuous data
Myers-Brigg Type Indicator (MBTI)
statistics
3. Knowing a fact
range
Bayley Scales of Infant Development
between subject
Crystallized intelligence
4. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Chi-square test
Curvilinear relationship
generalizability
Concurrent validity
5. Calculates how off the mean might be in either direction
Validity (+types)
standard error of mean
Acquiescence
Hawthorne effect
6. Measures the extent to which items in a measure 'hang together' and test the same thing
Nonequivalent control group
Content validity
Internal validity
mode
7. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
California Personality Inventory (CPI)
Strong-Campbell Interest Inventory
Type I and II errors
quasi-experimental design
8. The most frequently occurring value
range
mode
statistics
Concurrent validity
9. Internal-External Locus of Control Scale
Variability
Julian Rotter
Illusory correlation
double-blind experiment
10. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Spearman r correlation coefficient
Type I and II errors
ANOVA/analysis of variance
Graphs (types)
11. Does not control - but examines how independent variable affects it
dependent variable
frequency polygon
Lewis Terman
Vocational tests
12. Measured by the same individual taking the same test more than once
Objective tests (+types)
Test-retest reliability
Bayley Scales of Infant Development
Concurrent validity
13. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
dependent variable
Donald Campbell and Donald Fiske
T-score
confounding variable
14. Measure of fascism or authoritarian personality
Lewis Terman
Split-half reliability
One-way ANOVA
F-scale or F-ratio
15. How the score are spread out overall
Variability
nominal variables
Crystallized intelligence
Frequency distributions (+variables)
16. 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
Rotter Incomplete Sentence Blank
Robert Zajonc
Anne Anastasi
Factorial analysis of variance
17. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence
Meta-analysis
Bayley Scales of Infant Development
Population & related
John Horn and Raymond Cattell
18. Subjects alter behaviour because they are being observed
Word Association Test
cohort-sequential design
Hawthorne effect
Meta-analysis
19. Combines longitudinal and cross-sectional approach
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
variance and standard deviation
standard error of mean
cohort-sequential design
20. Created multitrait-multimethod technique to determine validity of tests
Population & related
Donald Campbell and Donald Fiske
Type I and II errors
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
21. 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
interval variables
Reliability (+types)
Internal validity
Thematic Apperception Test (TAT)
22. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Descriptive statistics (+types)
dependent variable
IQ Binet'S equation
Experimental design
23. (Mental age/chronological age)/100 - Highest age = 16
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
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
independent variable
Continuous data
Empirical-keying or criterion-keying approach
Minnesota Multiphasic Personality Inventory (MMPI)
25. Whether content covers a good sample of construct being measured
Content validity
Meta-analysis
Standard normal distributions
Hawthorne effect
26. The hypothesis that no real differences or pattern exist
Intelligence
ANOVA/analysis of variance
Factorial analysis of variance
Null hypothesis
27. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Statistical regression
Meta-analysis
Lewis Terman
Illusory correlation
28. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
range
Intelligence
ratio variables
29. Compares 2 groups of people at the same time point
Central Tendency (types and distribution differences)
between subject
Content validity
bar graph
30. Bell curve; larger the sample - greater chance of having a normal distribution
normal distribution(+characteristic)
Wechsler Adult Intelligence Scale (WAIS)
standard error of mean
Myers-Brigg Type Indicator (MBTI)
31. 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 -
Chi-square test
normal distribution(+characteristic)
Rotter Incomplete Sentence Blank
Factorial analysis of variance
32. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
statistically significant
research design
Rorschach Inkblot Test
nominal variables
33. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
double-blind experiment
Inferential statistics
Charles Spearmen
Lie detector tests
34. Anything that is measured such as height or depression score on a depression scale
statistically significant
Rotter Incomplete Sentence Blank
Meta-analysis
Continuous data
35. Aims to match demographic characteristics to population (i.e. 50% female - etc)
stratified sampling
dependent variable
Test-retest reliability
Statistical regression
36. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Validity (+types)
IQ Binet'S equation
ANOVA/analysis of variance
Concurrent validity
37. Assess extent interests and strengths match those found by professionals in a particular job field
Goodenough Draw-A-Man Test
Rotter Incomplete Sentence Blank
Vocational tests
cohort-sequential design
38. Measure how well you know a subject - measure past learning
Achievement tests
Concurrent validity
Spearman r correlation coefficient
Alfred Binet
39. For ranks; determining the line that describes a linear relationship
Criterion-referenced tests
Alpha levels
Experimental design
Spearman r correlation coefficient
40. 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
Item analysis (reliability)
mode
quasi-experimental design
between subject
41. 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
Hawthorne effect
Mean IQ
Projective tests (+types)
Intelligence
42. When people agree with opposing statements; giving tacit agreement
Factorial analysis of variance
Objective tests (+types)
Acquiescence
random sampling
43. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
ordinal variables
Concurrent validity
social desirability
Aptitude tests
44. Experimenter bias; researchers see what they want to see; minimized in double-blind
Rosenthal effect
T-score
Inferential statistics
bar graph
45. 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
Central Tendency (types and distribution differences)
Minnesota Multiphasic Personality Inventory (MMPI)
Construct validity
46. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Percentages under normal distribution based on SDs (from mean to end)
Inferential statistics
double-blind experiment
Linear regression
47. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
nominal variables
frequency polygon
median
Analysis of covariance (ANCOVA)
48. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
quasi-experimental design
Projective tests (+types)
Variability
Split-half reliability
49. 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
Population & related
Empirical-keying or criterion-keying approach
Standard normal distributions
T-test
50. Personality test from Jung'S theory; 93 questions 2 answers each; 4-letter personality type - each letter 1 of 2 possible opposing characteristics: Introverted vs. Extraverted - Sensing vs. Intuition - Feeling vs. Thinking - and - Judgment vs. Percep
Myers-Brigg Type Indicator (MBTI)
within subject
Type I and II errors
variance and standard deviation