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 degree to which an independent variable can predict a dependent variable
Beck Depression Inventory (BDI)
predictive value
Demand characteristic
Domain-referenced tests
2. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
mental age
range
Standard normal distributions
Frequency distributions (+variables)
3. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Reliability (+types)
Split-half reliability
quasi-experimental design
Anne Anastasi
4. 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%
Lewis Terman
Percentages under normal distribution based on SDs (from mean to end)
Strong-Campbell Interest Inventory
John Horn and Raymond Cattell
5. Does not control - but examines how independent variable affects it
Fluid intelligence
Strong-Campbell Interest Inventory
dependent variable
Reliability (+types)
6. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Meta-analysis
ANOVA/analysis of variance
ordinal variables
Thematic Apperception Test (TAT)
7. Draw a person of each sex and tell a story about them
Type I and II errors
Bayley Scales of Infant Development
Draw-A-Person Test
Nonequivalent control group
8. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Walter Mischel
Vocational tests
quasi-experimental design
Rosenthal effect
9. The age level of a person'S functioning according to the IQ test
Two-way ANOVA
mental age
interval variables
Reliability (+types)
10. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Intelligence
Beck Depression Inventory (BDI)
placebo
Split-half reliability
11. When subjects that drop out are different than those that remain; no longer random
Selective attrition
Concurrent validity
statistics
Mean IQ
12. For even number of values in the set - take the average of the two middle value
Longitudinal design
within subject
median
Word Association Test
13. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
Pearson r correlation coefficient
Alfred Binet
Domain-referenced tests
predictive value
14. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Chi-square test
Z-scores
Longitudinal design
Frequency distributions (+variables)
15. The most frequently occurring value
mode
Reactance
Intelligence
Analysis of covariance (ANCOVA)
16. Anything that is measured such as height or depression score on a depression scale
Beck Depression Inventory (BDI)
Continuous data
Chi-square test
random sampling
17. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation
Correlational relationships
Continuous data
ordinal variables
Walter Mischel
18. Combines longitudinal and cross-sectional approach
cohort-sequential design
Item analysis (reliability)
variance (calculation)
predictive value
19. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Empirical-keying or criterion-keying approach
median
Anne Anastasi
Inferential statistics
20. Knowing how to do something
Fluid intelligence
Graphs (types)
Donald Campbell and Donald Fiske
Hawthorne effect
21. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)
IQ Binet'S equation
Reactance
Frequency distributions (+variables)
stratified sampling
22. 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
Alfred Binet
Wechsler Intelligence Scale for Children (WISC-R)
ANOVA/analysis of variance
Minnesota Multiphasic Personality Inventory (MMPI)
23. 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%
Experimenter bias
Alpha levels
Nonequivalent control group
confounding variable
24. Knowing a fact
T-test
Longitudinal design
Crystallized intelligence
Inferential statistics
25. 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
Strong-Campbell Interest Inventory
Selective attrition
Julian Rotter
Factorial analysis of variance
26. (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
27. Tests the effects of two independent variables or treatment conditions at once
Achievement tests
Demand characteristic
Two-way ANOVA
Population & related
28. Whether test items look like they measure the construct
Face validity
Central Tendency (types and distribution differences)
Construct validity
standard error of mean
29. 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
Discrete data
Intelligence
John Horn and Raymond Cattell
Projective tests (+types)
30. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Vocational tests
Learn the shape of different distributions
Myers-Brigg Type Indicator (MBTI)
research design
31. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Meta-analysis
T-test
confounding variable
Analysis of covariance (ANCOVA)
32. 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
Robert Zajonc
Item analysis (reliability)
Rotter Incomplete Sentence Blank
33. How the score are spread out overall
Draw-A-Person Test
Variability
Selective attrition
Acquiescence
34. Have order - equal intervals and a real zero ex: age
ratio variables
Word Association Test
between subject
Internal validity
35. How much variation there is among n number of scores in a distribution
Rorschach Inkblot Test
variance and standard deviation
Two-way ANOVA
Wechsler Intelligence Scale for Children (WISC-R)
36. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Intelligence
Rosenthal effect
Fluid intelligence
interval variables
37. 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
Illusory correlation
Central Tendency (types and distribution differences)
Graphs (types)
Alfred Binet
38. 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
Bayley Scales of Infant Development
confounding variable
Learn the shape of different distributions
Aptitude tests
39. Not IQ - It is unlikely IQ captures all facets of it
One-way ANOVA
stratified sampling
Intelligence
variance and standard deviation
40. Interest in the effect of independent variable on the dependent variable - often manipulated by applying it in experimental or treatment condition and withholding it from control condition
independent variable
interval variables
Domain-referenced tests
Julian Rotter
41. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female
Z-scores
placebo effect
nominal variables
Cross validation
42. 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
dependent variable
T-test
One-way ANOVA
variance (calculation)
43. Measure how well you know a subject - measure past learning
Test-retest reliability
Achievement tests
Graphs (types)
random sampling
44. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling
Scientific approach
Rosenthal effect
Walter Mischel
Population & related
45. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Domain-referenced tests
One-way ANOVA
Internal-External Locus of Control Scale
Bayley Scales of Infant Development
46. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity
bar graph
nominal variables
Demand characteristic
Domain-referenced tests
47. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
Z-scores
Face validity
Spearman r correlation coefficient
Rotter Incomplete Sentence Blank
48. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Reliability (+types)
Stanford-Binet Intelligence Scale
Lewis Terman
mode
49. The effect that might result when a group is born and raised in a particular time period
cohort effect
California Personality Inventory (CPI)
within subject
Empirical-keying or criterion-keying approach
50. Compares 2 groups of people at the same time point
between subject
social desirability
Frequency distributions (+variables)
within subject