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. The most frequently occurring value
Descriptive statistics (+types)
Mean IQ
mode
T-test
2. Not IQ - It is unlikely IQ captures all facets of it
within subject
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Intelligence
Lie detector tests
3. Aims to match demographic characteristics to population (i.e. 50% female - etc)
Rorschach Inkblot Test
stratified sampling
Population & related
Chi-square test
4. 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
Reactance
cohort-sequential design
Criterion-referenced tests
5. The process of representing or analyzing numerical data
Wechsler Adult Intelligence Scale (WAIS)
Domain-referenced tests
Split-half reliability
statistics
6. Every member of the population has an equal chance of being chosen for the sample
John Horn and Raymond Cattell
random sampling
ratio variables
Two-way ANOVA
7. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
Frequency distributions (+variables)
Meta-analysis
Validity (+types)
Criterion-referenced tests
8. Similar to T-test - but can measure more than 2 groups
ANOVA/analysis of variance
Curvilinear relationship
Rorschach Inkblot Test
Reliability (+types)
9. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimenter bias
Frequency distributions (+variables)
social desirability
T-score
10. 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
Wechsler Intelligence Scale for Children (WISC-R)
Variability
median
Thematic Apperception Test (TAT)
11. Used when equivalent one cannot be isolated
Nonequivalent control group
Content validity
Experimental design
Word Association Test
12. The effect that might result when a group is born and raised in a particular time period
Descriptive statistics (+types)
Meta-analysis
Concurrent validity
cohort effect
13. Tests the same person at multiple time points and looks at changes within that person
ANOVA/analysis of variance
standard deviation (calculation)
within subject
cross-sectional design
14. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Longitudinal design
Beck Depression Inventory (BDI)
Standard normal distributions
interval variables
15. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
T-test
External validity (+types)
Standard normal distributions
Percentages under normal distribution based on SDs (from mean to end)
16. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
Alfred Binet
double-blind experiment
Variability
normal distribution(+characteristic)
17. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Selective attrition
standard deviation (calculation)
Cross validation
Analysis of covariance (ANCOVA)
18. 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
Rosenzweig Picture-Frustration (P-F) Study
quasi-experimental design
Lie detector tests
Aptitude tests
19. Used most commonly on standardized test
Walter Mischel
percentiles
Discrete data
Face validity
20. When subjects that drop out are different than those that remain; no longer random
percentiles
interval variables
Linear regression
Selective attrition
21. Measured by the same individual taking the same test more than once
Test-retest reliability
Spearman r correlation coefficient
Z-scores
statistically significant
22. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
ordinal variables
dependent variable
placebo
Validity (+types)
23. Similar to word association - finish incomplete sentences
Analysis of covariance (ANCOVA)
Reactance
Stanford-Binet Intelligence Scale
Rotter Incomplete Sentence Blank
24. Whether content covers a good sample of construct being measured
Content validity
Q-sort/measure
Rorschach Inkblot Test
within subject
25. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Rosenzweig Picture-Frustration (P-F) Study
histogram
Draw-A-Person Test
Q-sort/measure
26. The degree to which the result from an experiment can be applied to the population and the real world
generalizability
Rorschach Inkblot Test
Q-sort/measure
Beck Depression Inventory (BDI)
27. 34.13% - 13.59% - 2.02% - 0.26% and - +3 99.74% - +2 97.72% - +1 84.13% - 0 50.00% - -1 15.87% - -2 2.28% - -3 0.26%
Cross validation
Selective attrition
Percentages under normal distribution based on SDs (from mean to end)
range
28. 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
Central Tendency (types and distribution differences)
nominal variables
IQ Binet'S equation
Rotter Incomplete Sentence Blank
29. Measure of fascism or authoritarian personality
F-scale or F-ratio
Wechsler Adult Intelligence Scale (WAIS)
Rosenzweig Picture-Frustration (P-F) Study
dependent variable
30. Measure how well you know a subject - measure past learning
Chi-square test
Acquiescence
Achievement tests
Hawthorne effect
31. 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
placebo effect
Two-way ANOVA
Descriptive statistics (+types)
cohort effect
32. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Inferential statistics
Experimental design
Stanford-Binet Intelligence Scale
Alfred Binet
33. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Standard normal distributions
Item analysis (reliability)
Variability
Spearman r correlation coefficient
34. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety
Frequency distributions (+variables)
Bayley Scales of Infant Development
social desirability
Lie detector tests
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
Frequency distributions (+variables)
Field study
Factorial analysis of variance
Standard normal distributions
36. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
Wechsler Adult Intelligence Scale (WAIS)
Factorial analysis of variance
Graphs (types)
37. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
IQ Binet'S equation
Chi-square test
between subject
38. 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
Split-half reliability
Face validity
Z-scores
39. 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
Q-sort/measure
Julian Rotter
generalizability
interval variables
40. 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
median
Bayley Scales of Infant Development
Nonequivalent control group
Empirical-keying or criterion-keying approach
41. When people agree with opposing statements; giving tacit agreement
bar graph
Concurrent validity
Field study
Acquiescence
42. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
range
Anne Anastasi
Strong-Campbell Interest Inventory
Nonequivalent control group
43. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
Experimenter bias
Analysis of covariance (ANCOVA)
Concurrent validity
frequency polygon
44. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
Correlational relationships
Linear regression
Anne Anastasi
45. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
standard deviation (calculation)
Beck Depression Inventory (BDI)
ratio variables
Analysis of covariance (ANCOVA)
46. For ranks; determining the line that describes a linear relationship
Spearman r correlation coefficient
Test-retest reliability
Split-half reliability
Face validity
47. 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
placebo effect
variance and standard deviation
Objective tests (+types)
Criterion-referenced tests
48. Whether test really taps abstract concept being measured
Test-retest reliability
Aptitude tests
Construct validity
predictive value
49. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Illusory correlation
Reliability (+types)
Inferential statistics
One-way ANOVA
50. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
ratio variables
Robert Zajonc
Mean IQ
Item analysis (reliability)