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. Not IQ - It is unlikely IQ captures all facets of it
Frequency distributions (+variables)
Intelligence
normal distribution(+characteristic)
Strong-Campbell Interest Inventory
2. Measured by the same individual taking the same test more than once
Continuous data
Test-retest reliability
bar graph
range
3. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis
statistically significant
T-test
Strong-Campbell Interest Inventory
Reliability (+types)
4. Similar to word association - finish incomplete sentences
ratio variables
dependent variable
Correlational relationships
Rotter Incomplete Sentence Blank
5. The degree to which an independent variable can predict a dependent variable
quasi-experimental design
Curvilinear relationship
predictive value
placebo effect
6. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Longitudinal design
Spearman r correlation coefficient
F-scale or F-ratio
Mean IQ
7. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
interval variables
random sampling
stratified sampling
bar graph
8. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Rotter Incomplete Sentence Blank
Donald Campbell and Donald Fiske
Discrete data
Experimental design
9. Bell curve; larger the sample - greater chance of having a normal distribution
normal distribution(+characteristic)
within subject
Donald Campbell and Donald Fiske
Fluid intelligence
10. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
Myers-Brigg Type Indicator (MBTI)
Descriptive statistics (+types)
generalizability
Analysis of covariance (ANCOVA)
11. Measures the extent to which items in a measure 'hang together' and test the same thing
quasi-experimental design
Mean IQ
Robert Zajonc
Internal validity
12. The effect that might result when a group is born and raised in a particular time period
research design
Chi-square test
cohort effect
Crystallized intelligence
13. Used most commonly on standardized test
Graphs (types)
percentiles
Construct validity
Pearson r correlation coefficient
14. Measure how well you know a subject - measure past learning
Walter Mischel
Achievement tests
Donald Campbell and Donald Fiske
mental age
15. 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%
Cross validation
Walter Mischel
Alpha levels
Demand characteristic
16. How stable measure is; test-retest - split-half
Alpha levels
Hawthorne effect
Vocational tests
Reliability (+types)
17. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Graphs (types)
Aptitude tests
placebo
mode
18. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others
Spearman r correlation coefficient
standard error of mean
research design
confounding variable
19. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
T-test
Factorial analysis of variance
placebo effect
Inferential statistics
20. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
independent variable
Nonequivalent control group
Strong-Campbell Interest Inventory
Wechsler Adult Intelligence Scale (WAIS)
21. 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
Thematic Apperception Test (TAT)
Charles Spearmen
Aptitude tests
T-test
22. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Illusory correlation
Standard normal distributions
Nonequivalent control group
Curvilinear relationship
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. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent
Nonequivalent control group
Goodenough Draw-A-Man Test
dependent variable
Robert Zajonc
25. When subjects act in ways they think experimenter wants or expects
Demand characteristic
Alfred Binet
Item analysis (reliability)
T-test
26. For children 4-6
Variability
Percentages under normal distribution based on SDs (from mean to end)
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
T-score
27. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)
Crystallized intelligence
Longitudinal design
Domain-referenced tests
Internal-External Locus of Control Scale
28. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Rorschach Inkblot Test
mental age
cross-sectional design
median
29. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
within subject
One-way ANOVA
Experimenter bias
Spearman r correlation coefficient
30. Developed concept of IQ and first intelligence test (Binet Scale)
Alfred Binet
confounding variable
Achievement tests
Julian Rotter
31. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
Graphs (types)
quasi-experimental design
ANOVA/analysis of variance
Longitudinal design
32. How much variation there is among n number of scores in a distribution
mode
variance and standard deviation
Rosenthal effect
Lie detector tests
33. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
Discrete data
Domain-referenced tests
Q-sort/measure
Walter Mischel
34. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Curvilinear relationship
Anne Anastasi
Test-retest reliability
Minnesota Multiphasic Personality Inventory (MMPI)
35. Whether content covers a good sample of construct being measured
Correlational relationships
Rosenzweig Picture-Frustration (P-F) Study
Content validity
Criterion-referenced tests
36. The most frequently occurring value
Test-retest reliability
mode
Pearson r correlation coefficient
Curvilinear relationship
37. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Thematic Apperception Test (TAT)
Correlational relationships
variance and standard deviation
ordinal variables
38. 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
Lie detector tests
stratified sampling
Wechsler Intelligence Scale for Children (WISC-R)
Myers-Brigg Type Indicator (MBTI)
39. 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
Validity (+types)
Illusory correlation
double-blind experiment
Factorial analysis of variance
40. There is a general factor in intelligence 'g'
Charles Spearmen
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Test-retest reliability
Projective tests (+types)
41. Does not control - but examines how independent variable affects it
cohort-sequential design
Criterion-referenced tests
dependent variable
ANOVA/analysis of variance
42. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship
California Personality Inventory (CPI)
statistics
Pearson r correlation coefficient
Word Association Test
43. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV
Anne Anastasi
statistically significant
Word Association Test
Wechsler Adult Intelligence Scale (WAIS)
44. Process in testing concurrent validity
Myers-Brigg Type Indicator (MBTI)
Achievement tests
mode
Cross validation
45. Tests the same person at multiple time points and looks at changes within that person
Charles Spearmen
Scientific approach
Reliability (+types)
within subject
46. 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
Empirical-keying or criterion-keying approach
Vocational tests
random sampling
Reliability (+types)
47. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency
Linear regression
Construct validity
Item analysis (reliability)
Correlational relationships
48. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50
Fluid intelligence
standard error of mean
T-score
Reactance
49. Draw a person of each sex and tell a story about them
Draw-A-Person Test
Rosenzweig Picture-Frustration (P-F) Study
T-score
Validity (+types)
50. Internal-External Locus of Control Scale
California Personality Inventory (CPI)
Julian Rotter
within subject
Field study