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. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
nominal variables
variance and standard deviation
placebo
Curvilinear relationship
2. 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
John Horn and Raymond Cattell
research design
Descriptive statistics (+types)
3. (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
4. The degree to which the result from an experiment can be applied to the population and the real world
median
generalizability
confounding variable
Thematic Apperception Test (TAT)
5. Draw a person of each sex and tell a story about them
Null hypothesis
histogram
Draw-A-Person Test
Statistical regression
6. Measure how well you know a subject - measure past learning
Achievement tests
Experimental design
histogram
Type I and II errors
7. 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
Discrete data
Objective tests (+types)
Continuous data
Pearson r correlation coefficient
8. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups
variance and standard deviation
statistically significant
Analysis of covariance (ANCOVA)
Reliability (+types)
9. 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
Standard normal distributions
cross-sectional design
histogram
variance (calculation)
10. Process in testing concurrent validity
independent variable
cohort effect
Cross validation
T-test
11. Whether content covers a good sample of construct being measured
Content validity
Walter Mischel
statistically significant
Learn the shape of different distributions
12. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
generalizability
Scientific approach
double-blind experiment
T-test
13. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted
Criterion-referenced tests
Population & related
Vocational tests
Lewis Terman
14. 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
Donald Campbell and Donald Fiske
between subject
quasi-experimental design
Discrete data
15. Measures the extent to which items in a measure 'hang together' and test the same thing
Internal validity
median
Anne Anastasi
Julian Rotter
16. Use correlation coefficients in order to predict one variable y from another variable x - let you define a line on graph that describes the relationship between x and y - when the least-square line or regression line is fit to the data - basically: u
External validity (+types)
Continuous data
Donald Campbell and Donald Fiske
Linear regression
17. Number of SD a score is from the mean - For normal distribution - (-3 to +3)
placebo
Z-scores
social desirability
Percentages under normal distribution based on SDs (from mean to end)
18. 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
Curvilinear relationship
Factorial analysis of variance
Continuous data
median
19. For even number of values in the set - take the average of the two middle value
Donald Campbell and Donald Fiske
Analysis of covariance (ANCOVA)
Achievement tests
median
20. Compares 2 groups of people at the same time point
between subject
range
research design
Field study
21. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
Word Association Test
Continuous data
California Personality Inventory (CPI)
Validity (+types)
22. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
Stanford-Binet Intelligence Scale
range
External validity (+types)
Reliability (+types)
23. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions
External validity (+types)
nominal variables
Experimenter bias
Walter Mischel
24. When subject behave differently just because they thing that they have received the treatment substance or condition
cohort-sequential design
Intelligence
double-blind experiment
placebo effect
25. Measure innate ability to learn (debatable) - to predict later performance
Alpha levels
John Horn and Raymond Cattell
Aptitude tests
F-scale or F-ratio
26. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
Anne Anastasi
Percentages under normal distribution based on SDs (from mean to end)
F-scale or F-ratio
Demand characteristic
27. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Beck Depression Inventory (BDI)
Item analysis (reliability)
Wechsler Intelligence Scale for Children (WISC-R)
ordinal variables
28. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale
Acquiescence
Crystallized intelligence
One-way ANOVA
mode
29. Different subjects of different ages are compared - faster - easier
cohort effect
ANOVA/analysis of variance
cross-sectional design
Nonequivalent control group
30. 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
Face validity
Projective tests (+types)
mode
interval variables
31. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable
Experimental design
Aptitude tests
Frequency distributions (+variables)
Discrete data
32. Notable for cross-cultural application and simple directions - to make the best picture of a man - scored based on detail and accuracy - not artistic talent
Goodenough Draw-A-Man Test
Crystallized intelligence
independent variable
Spearman r correlation coefficient
33. 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
interval variables
social desirability
Analysis of covariance (ANCOVA)
Minnesota Multiphasic Personality Inventory (MMPI)
34. Combines longitudinal and cross-sectional approach
cohort-sequential design
Hawthorne effect
Objective tests (+types)
Rosenzweig Picture-Frustration (P-F) Study
35. How the score are spread out overall
Variability
F-scale or F-ratio
Rorschach Inkblot Test
Content validity
36. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
California Personality Inventory (CPI)
range
IQ Binet'S equation
Learn the shape of different distributions
37. 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
Wechsler Intelligence Scale for Children (WISC-R)
Descriptive statistics (+types)
statistically significant
standard error of mean
38. Every member of the population has an equal chance of being chosen for the sample
cohort-sequential design
random sampling
Illusory correlation
Validity (+types)
39. The effect that might result when a group is born and raised in a particular time period
Longitudinal design
placebo effect
Fluid intelligence
cohort effect
40. There is a general factor in intelligence 'g'
ANOVA/analysis of variance
Minnesota Multiphasic Personality Inventory (MMPI)
Percentages under normal distribution based on SDs (from mean to end)
Charles Spearmen
41. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment
Aptitude tests
Population & related
Longitudinal design
ordinal variables
42. For children 6-16
Factorial analysis of variance
Robert Zajonc
Achievement tests
Wechsler Intelligence Scale for Children (WISC-R)
43. Bell curve; larger the sample - greater chance of having a normal distribution
Word Association Test
Chi-square test
mode
normal distribution(+characteristic)
44. 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
mode
Central Tendency (types and distribution differences)
Strong-Campbell Interest Inventory
quasi-experimental design
45. Tests the effects of two independent variables or treatment conditions at once
cohort effect
standard deviation (calculation)
Two-way ANOVA
histogram
46. When subjects that drop out are different than those that remain; no longer random
frequency polygon
T-test
Selective attrition
Face validity
47. 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
standard deviation (calculation)
Crystallized intelligence
Thematic Apperception Test (TAT)
F-scale or F-ratio
48. 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
cross-sectional design
Concurrent validity
confounding variable
cohort-sequential design
49. The most frequently occurring value
Chi-square test
Illusory correlation
mode
Robert Zajonc
50. Does not control - but examines how independent variable affects it
Linear regression
Learn the shape of different distributions
Acquiescence
dependent variable