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Test your basic knowledge 
GRE Psychology: Measurement And Methodology
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Subjects
:
gre
,
psychology
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
study here
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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 reenforces your understanding as you take the test each time.
1. 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. StrongCampbell Interest Inventory
Face validity
Empiricalkeying or criterionkeying approach
Crystallized intelligence
Lewis Terman
2. Whether test really taps abstract concept being measured
Acquiescence
Mean IQ
Twoway ANOVA
Construct validity
3. 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
range
research design
variance (calculation)
Anne Anastasi
4. Mathematically combines and summarizes overall effects or findings for a topic; best known for consolidating effectiveness of psychotherapy  can calculate overall effect size or conclusion drawn from a collection of studies; needed when conflicting
quasiexperimental design
Thematic Apperception Test (TAT)
Metaanalysis
MyersBrigg Type Indicator (MBTI)
5. 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
Fscale or Fratio
Central Tendency (types and distribution differences)
ordinal variables
ANOVA/analysis of variance
6. The degree to which an independent variable can predict a dependent variable
histogram
predictive value
MyersBrigg Type Indicator (MBTI)
Longitudinal design
7. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
standard error of mean
Experimenter bias
statistics
doubleblind experiment
8. Critical of personality traittheory and personality tests; felt situations (not traits) decide actions
Bayley Scales of Infant Development
Reactance
Walter Mischel
interval variables
9. Personality measure for 'normal' / less clinical groups than MMPI  by Harrison Gough
Spearman r correlation coefficient
quasiexperimental design
Objective tests (+types)
California Personality Inventory (CPI)
10. Originally used with free association techniques; word called out  subject says next word in mind
Reactance
Word Association Test
Learn the shape of different distributions
mental age
11. Like a histogram except that the vertical bars do not touch  various columns are separated by space
Correlational relationships
Anne Anastasi
Robert Zajonc
bar graph
12. Does not control  but examines how independent variable affects it
random sampling
Illusory correlation
dependent variable
cohort effect
13. The most frequently occurring value
mode
Experimenter bias
confounding variable
Intelligence
14. For ranks; determining the line that describes a linear relationship
Rotter Incomplete Sentence Blank
Spearman r correlation coefficient
InternalExternal Locus of Control Scale
Twoway ANOVA
15. Every member of the population has an equal chance of being chosen for the sample
median
random sampling
Rotter Incomplete Sentence Blank
Linear regression
16. Measure mastery in a particular area (e.g. final exam)
Concurrent validity
Aptitude tests
Splithalf reliability
Criterionreferenced tests
17. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process
within subject
Concurrent validity
Inferential statistics
quasiexperimental design
18. Naturalistic setting  less control over environment than in lab; generates more hypotheses than able to prove
Nonequivalent control group
Field study
Longitudinal design
Central Tendency (types and distribution differences)
19. Revised Binet'S version  used with children  organized by age level  Best known predictor of future academic achievement
Chisquare test
Item analysis (reliability)
Correlational relationships
StanfordBinet Intelligence Scale
20. Intelligence in relation to performance; pioneered development of psychometrics  'no intelligence is culturefree'
Scientific approach
Linear regression
Anne Anastasi
Fluid intelligence
21. 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 leastsquare line or regression line is fit to the data  basically: u
Linear regression
InternalExternal Locus of Control Scale
MyersBrigg Type Indicator (MBTI)
Rosenzweig PictureFrustration (PF) Study
22. Anything that is measured such as height or depression score on a depression scale
California Personality Inventory (CPI)
Zscores
Continuous data
Linear regression
23. Personality test from Jung'S theory; 93 questions 2 answers each; 4letter personality type  each letter 1 of 2 possible opposing characteristics: Introverted vs. Extraverted  Sensing vs. Intuition  Feeling vs. Thinking  and  Judgment vs. Percep
Metaanalysis
MyersBrigg Type Indicator (MBTI)
Splithalf reliability
Thematic Apperception Test (TAT)
24. Aims to match demographic characteristics to population (i.e. 50% female  etc)
stratified sampling
Curvilinear relationship
Zscores
Face validity
25. Give descriptive names  No order or relationship among the variables other than to separate them into groups  ex: malefemale
nominal variables
research design
Reliability (+types)
Experimental design
26. Subjects alter behaviour because they are being observed
Item analysis (reliability)
cohortsequential design
Hawthorne effect
Ttest
27. Allows own answer: expression of conflicts  needs  impulses; content interpreted by administrator  some more objective than others; Rorschach Inkblot Test  Thematic Apperception Test  Rosenzweig PictureFrustration (PF) Study  Word Association
Donald Campbell and Donald Fiske
Rosenzweig PictureFrustration (PF) Study
Reliability (+types)
Projective tests (+types)
28. If it is significant  same finding can be generalized to the population  use test of significant to reject null hypothesis
statistically significant
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Learn the shape of different distributions
Lie detector tests
29. Birth order vs. intelligence; the older  the more intelligent; the more children  the less intelligent; the greater spacing  the more intelligent
Robert Zajonc
Criterionreferenced tests
Rosenzweig PictureFrustration (PF) Study
random sampling
30. Attempt to measure lessdefined properties (e.g. intelligence)  check for reliability and validity
Illusory correlation
Domainreferenced tests
normal distribution(+characteristic)
Fscale or Fratio
31. Inactive substance or condition disguised as a treatment substance or condition  used to form control group
Acquiescence
Fscale or Fratio
stratified sampling
placebo
32. Measure how well you know a subject  measure past learning
Splithalf reliability
Rosenthal effect
Reactance
Achievement tests
33. Notable for crosscultural application and simple directions  to make the best picture of a man  scored based on detail and accuracy  not artistic talent
Acquiescence
Alpha levels
Anne Anastasi
Goodenough DrawAMan Test
34. 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
social desirability
Standard normal distributions
Variability
Word Association Test
35. I when incorrectly reject null  thought significant but chance; II when incorrectly accept null  thought chance but significant
research design
Type I and II errors
Mean IQ
Anne Anastasi
36. Different subjects of different ages are compared  faster  easier
crosssectional design
Analysis of covariance (ANCOVA)
Experimenter bias
histogram
37. 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%
ordinal variables
Zscores
Percentages under normal distribution based on SDs (from mean to end)
doubleblind experiment
38. The process of representing or analyzing numerical data
Charles Spearmen
Demand characteristic
Graphs (types)
statistics
39. When subject behave differently just because they thing that they have received the treatment substance or condition
Mean IQ
Robert Zajonc
standard error of mean
placebo effect
40. 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
Aptitude tests
Validity (+types)
Inferential statistics
Descriptive statistics (+types)
41. Developed concept of IQ and first intelligence test (Binet Scale)
Ttest
Alfred Binet
Zscores
Item analysis (reliability)
42. Measures the extent to which items in a measure 'hang together' and test the same thing
Achievement tests
median
random sampling
Internal validity
43. How well a test measures a construct; multitraitmultimethod technique determines validity; internal  external: concurrent  construct  content  face
IQ Binet'S equation
random sampling
Wechsler Adult Intelligence Scale (WAIS)
Validity (+types)
44. The age level of a person'S functioning according to the IQ test
statistics
research design
mental age
histogram
45. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds
Rosenzweig PictureFrustration (PF) Study
Wechsler Adult Intelligence Scale (WAIS)
Beck Depression Inventory (BDI)
Oneway ANOVA
46. How a researcher attempts to examine a hypothesis  different questions call for different approaches  some approaches are more scientific than others
Beck Depression Inventory (BDI)
research design
Standard normal distributions
predictive value
47. 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
social desirability
quasiexperimental design
placebo effect
DrawAPerson Test
48. For even number of values in the set  take the average of the two middle value
median
Learn the shape of different distributions
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
variance and standard deviation
49. Tests the same person at multiple time points and looks at changes within that person
within subject
variance and standard deviation
Goodenough DrawAMan Test
confounding variable
50. Allow generalization from sample to population  statistics (sample)  parameters (population): use statistics to estimate parameters
Aptitude tests
Field study
Inferential statistics
confounding variable