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. Measure how well you know a subject - measure past learning
Item analysis (reliability)
Achievement tests
Rosenzweig Picture-Frustration (P-F) Study
interval variables
2. 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
Reactance
Two-way ANOVA
Central Tendency (types and distribution differences)
independent variable
3. 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
Reliability (+types)
social desirability
Rosenzweig Picture-Frustration (P-F) Study
Pearson r correlation coefficient
4. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant
Type I and II errors
Vocational tests
Intelligence
double-blind experiment
5. Experimenter bias; researchers see what they want to see; minimized in double-blind
Construct validity
California Personality Inventory (CPI)
predictive value
Rosenthal effect
6. 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
Chi-square test
IQ Binet'S equation
range
Descriptive statistics (+types)
7. Not simple and linear - looks like a curved line - ex: arousal and perfomance - high A --> low P - Low A --> low P - medium A --> high P
variance and standard deviation
Rotter Incomplete Sentence Blank
Curvilinear relationship
Strong-Campbell Interest Inventory
8. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Validity (+types)
social desirability
ordinal variables
Thematic Apperception Test (TAT)
9. 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
Rorschach Inkblot Test
median
Linear regression
T-test
10. Whether test items look like they measure the construct
statistically significant
independent variable
Face validity
Learn the shape of different distributions
11. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough
Empirical-keying or criterion-keying approach
Content validity
California Personality Inventory (CPI)
John Horn and Raymond Cattell
12. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Projective tests (+types)
T-test
range
Rorschach Inkblot Test
13. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Lie detector tests
Rosenzweig Picture-Frustration (P-F) Study
range
John Horn and Raymond Cattell
14. Like a histogram except that the vertical bars do not touch - various columns are separated by space
bar graph
frequency polygon
Scientific approach
random sampling
15. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms
range
Chi-square test
Beck Depression Inventory (BDI)
Null hypothesis
16. When subjects that drop out are different than those that remain; no longer random
Selective attrition
range
Bayley Scales of Infant Development
Alfred Binet
17. Used when equivalent one cannot be isolated
Myers-Brigg Type Indicator (MBTI)
Nonequivalent control group
Wechsler Adult Intelligence Scale (WAIS)
nominal variables
18. How stable measure is; test-retest - split-half
Donald Campbell and Donald Fiske
Q-sort/measure
Reliability (+types)
between subject
19. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
quasi-experimental design
ordinal variables
Construct validity
Wechsler Adult Intelligence Scale (WAIS)
20. Knowing how to do something
Fluid intelligence
Continuous data
Experimental design
Vocational tests
21. 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
cohort-sequential design
Statistical regression
Continuous data
Minnesota Multiphasic Personality Inventory (MMPI)
22. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Rosenthal effect
Projective tests (+types)
Robert Zajonc
Curvilinear relationship
23. 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
Descriptive statistics (+types)
Variability
Objective tests (+types)
histogram
24. Allows own answer: expression of conflicts - needs - impulses; content interpreted by administrator - some more objective than others; Rorschach Inkblot Test - Thematic Apperception Test - Rosenzweig Picture-Frustration (P-F) Study - Word Association
Projective tests (+types)
Charles Spearmen
Linear regression
Construct validity
25. 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 -
Word Association Test
Chi-square test
Type I and II errors
Domain-referenced tests
26. 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
ANOVA/analysis of variance
variance (calculation)
Discrete data
27. When people agree with opposing statements; giving tacit agreement
Acquiescence
ordinal variables
Walter Mischel
Frequency distributions (+variables)
28. 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
random sampling
Illusory correlation
Reactance
cohort-sequential design
29. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Graphs (types)
Z-scores
confounding variable
Learn the shape of different distributions
30. 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
Lie detector tests
confounding variable
Wechsler Intelligence Scale for Children (WISC-R)
Content validity
31. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
range
Goodenough Draw-A-Man Test
within subject
median
32. For even number of values in the set - take the average of the two middle value
quasi-experimental design
median
Myers-Brigg Type Indicator (MBTI)
Construct validity
33. 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
quasi-experimental design
normal distribution(+characteristic)
Q-sort/measure
Crystallized intelligence
34. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Analysis of covariance (ANCOVA)
ratio variables
Correlational relationships
Stanford-Binet Intelligence Scale
35. 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
Factorial analysis of variance
predictive value
social desirability
Learn the shape of different distributions
36. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Field study
Item analysis (reliability)
External validity (+types)
Central Tendency (types and distribution differences)
37. Anything that is measured such as height or depression score on a depression scale
Validity (+types)
Crystallized intelligence
Continuous data
ANOVA/analysis of variance
38. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Word Association Test
stratified sampling
nominal variables
quasi-experimental design
39. The hypothesis that no real differences or pattern exist
standard deviation (calculation)
Null hypothesis
Lie detector tests
Anne Anastasi
40. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Population & related
standard error of mean
Stanford-Binet Intelligence Scale
Donald Campbell and Donald Fiske
41. The most frequently occurring value
double-blind experiment
mode
Face validity
Nonequivalent control group
42. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Walter Mischel
Alpha levels
placebo
variance (calculation)
43. When subject behave differently just because they thing that they have received the treatment substance or condition
Variability
Crystallized intelligence
Strong-Campbell Interest Inventory
placebo effect
44. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
within subject
Anne Anastasi
Reactance
Learn the shape of different distributions
45. For ranks; determining the line that describes a linear relationship
Spearman r correlation coefficient
Draw-A-Person Test
Rotter Incomplete Sentence Blank
Q-sort/measure
46. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Frequency distributions (+variables)
Test-retest reliability
Stanford-Binet Intelligence Scale
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
47. Fluid intelligence declines with old age while crystallized intelligence does not
frequency polygon
Objective tests (+types)
John Horn and Raymond Cattell
random sampling
48. Process in testing concurrent validity
Charles Spearmen
Scientific approach
Cross validation
Experimental design
49. 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
Aptitude tests
percentiles
dependent variable
Objective tests (+types)
50. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
Percentages under normal distribution based on SDs (from mean to end)
statistically significant
Frequency distributions (+variables)
Meta-analysis