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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. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution
Learn the shape of different distributions
Standard normal distributions
Correlational relationships
Robert Zajonc
2. 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
Fluid intelligence
Null hypothesis
ANOVA/analysis of variance
Linear regression
3. Mean of Americans is standardized to 100 - with SD 15 or 16 depending on test; correlates most with IQ of biological parents and socioeconomic status
Graphs (types)
Mean IQ
Item analysis (reliability)
One-way ANOVA
4. 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
confounding variable
Statistical regression
Minnesota Multiphasic Personality Inventory (MMPI)
Split-half reliability
5. Rosenthal effect; researchers see what they want to see; minimized in double-blind
Experimenter bias
mental age
frequency polygon
Thematic Apperception Test (TAT)
6. Tests the same person at multiple time points and looks at changes within that person
Inferential statistics
within subject
Lie detector tests
interval variables
7. Compares 2 groups of people at the same time point
Meta-analysis
Experimental design
Lie detector tests
between subject
8. For even number of values in the set - take the average of the two middle value
Spearman r correlation coefficient
frequency polygon
Linear regression
median
9. 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
statistically significant
Central Tendency (types and distribution differences)
within subject
Null hypothesis
10. 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
statistics
Validity (+types)
Discrete data
Achievement tests
11. 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
Percentages under normal distribution based on SDs (from mean to end)
quasi-experimental design
Learn the shape of different distributions
12. Assess extent interests and strengths match those found by professionals in a particular job field
Type I and II errors
Construct validity
Stanford-Binet Intelligence Scale
Vocational tests
13. 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
Selective attrition
Validity (+types)
Q-sort/measure
nominal variables
14. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed
Inferential statistics
Donald Campbell and Donald Fiske
Crystallized intelligence
standard deviation (calculation)
15. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions
Factorial analysis of variance
Statistical regression
cohort-sequential design
ratio variables
16. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)
independent variable
Graphs (types)
Validity (+types)
Lie detector tests
17. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable
Wechsler Intelligence Scale for Children (WISC-R)
Rorschach Inkblot Test
Aptitude tests
placebo effect
18. For ranks; determining the line that describes a linear relationship
Julian Rotter
Spearman r correlation coefficient
Alpha levels
Projective tests (+types)
19. Measure the extent to which test measures what it intends to; concurrent - construct - content - face
predictive value
Null hypothesis
Anne Anastasi
External validity (+types)
20. Originally used with free association techniques; word called out - subject says next word in mind
Strong-Campbell Interest Inventory
Robert Zajonc
Word Association Test
Learn the shape of different distributions
21. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions
Correlational relationships
Standard normal distributions
Stanford-Binet Intelligence Scale
Item analysis (reliability)
22. Whether test really taps abstract concept being measured
Construct validity
Face validity
Aptitude tests
Charles Spearmen
23. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters
Charles Spearmen
standard error of mean
Z-scores
Inferential statistics
24. How much variation there is among n number of scores in a distribution
Linear regression
Demand characteristic
variance and standard deviation
Meta-analysis
25. Measure how well you know a subject - measure past learning
Reliability (+types)
Achievement tests
Field study
Standard normal distributions
26. The process of representing or analyzing numerical data
bar graph
One-way ANOVA
statistics
Selective attrition
27. When subjects act in ways they think experimenter wants or expects
Demand characteristic
variance and standard deviation
IQ Binet'S equation
Wechsler Adult Intelligence Scale (WAIS)
28. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set
Content validity
Anne Anastasi
range
Donald Campbell and Donald Fiske
29. Like a histogram except that the vertical bars do not touch - various columns are separated by space
standard deviation (calculation)
Percentages under normal distribution based on SDs (from mean to end)
bar graph
cohort-sequential design
30. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature
Aptitude tests
interval variables
External validity (+types)
Alpha levels
31. Fluid intelligence declines with old age while crystallized intelligence does not
ordinal variables
variance and standard deviation
Donald Campbell and Donald Fiske
John Horn and Raymond Cattell
32. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis
Hawthorne effect
variance (calculation)
Validity (+types)
Split-half reliability
33. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement
Curvilinear relationship
Stanford-Binet Intelligence Scale
statistically significant
Illusory correlation
34. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'
variance and standard deviation
Vocational tests
Anne Anastasi
One-way ANOVA
35. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers
Wechsler Preschool and Primary Scale of Intelligence (WPPSI)
Minnesota Multiphasic Personality Inventory (MMPI)
Factorial analysis of variance
ordinal variables
36. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group
double-blind experiment
Objective tests (+types)
Walter Mischel
Stanford-Binet Intelligence Scale
37. 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
Wechsler Adult Intelligence Scale (WAIS)
Objective tests (+types)
Correlational relationships
Goodenough Draw-A-Man Test
38. Anything that is measured such as height or depression score on a depression scale
Continuous data
Descriptive statistics (+types)
mental age
Pearson r correlation coefficient
39. Created multitrait-multimethod technique to determine validity of tests
Donald Campbell and Donald Fiske
Projective tests (+types)
Reliability (+types)
mode
40. Tests the effects of two independent variables or treatment conditions at once
Two-way ANOVA
mode
double-blind experiment
Validity (+types)
41. Measured by the same individual taking the same test more than once
confounding variable
Nonequivalent control group
Test-retest reliability
Construct validity
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
variance (calculation)
California Personality Inventory (CPI)
standard deviation (calculation)
Lewis Terman
43. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not
range
Strong-Campbell Interest Inventory
median
Selective attrition
44. The effect that might result when a group is born and raised in a particular time period
cohort effect
predictive value
T-test
variance and standard deviation
45. The most frequently occurring value
Variability
Inferential statistics
Type I and II errors
mode
46. Inactive substance or condition disguised as a treatment substance or condition - used to form control group
Variability
John Horn and Raymond Cattell
nominal variables
placebo
47. Consist of vertical bars in which the sides of the vertical bars touch - useful for discrete variables that have clear boundaries - interval variables in which there is some order
placebo
Linear regression
histogram
T-test
48. Have order - equal intervals and a real zero ex: age
Acquiescence
ratio variables
Goodenough Draw-A-Man Test
Hawthorne effect
49. 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
Central Tendency (types and distribution differences)
predictive value
Hawthorne effect
50. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face
mental age
Central Tendency (types and distribution differences)
Achievement tests
Validity (+types)