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GRE Psychology: Measurement And Methodology

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. Knowing a fact






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






3. Most commonly used for adults 16+ - organized by subtests with subscales and identify problem areas; current is WAIS-IV






4. Cartoons in which one person is frustrating another; asked to describe how the frustrated person responds






5. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process






6. For ranks; determining the line that describes a linear relationship






7. Created to determine whether a person feels responsible for things that happen (internal) or no control over events in life (external)






8. How a researcher attempts to examine a hypothesis - different questions call for different approaches - some approaches are more scientific than others






9. 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






10. Revised Binet scale to Stanford-Binet Intelligence Scale; also studied gifted children - those with higher IQs better adjusted






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






12. How much variation there is among n number of scores in a distribution






13. 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






14. (Mental age/chronological age)/100 - Highest age = 16

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15. Not intelligence tests; measure sensory and motor development of infants to identify mental retardation; poor predictors of later intelligence






16. The degree to which an independent variable can predict a dependent variable






17. Draw a person of each sex and tell a story about them






18. 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






19. 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






20. Normal curve - negatively skewed distribution - positively sknewed distribution - bimodal distribution - platykuric distribution






21. Whether test really taps abstract concept being measured






22. Internal-External Locus of Control Scale






23. For even number of values in the set - take the average of the two middle value






24. The hypothesis that no real differences or pattern exist






25. When subjects that drop out are different than those that remain; no longer random






26. Birth order vs. intelligence; the older - the more intelligent; the more children - the less intelligent; the greater spacing - the more intelligent






27. Measured by the same individual taking the same test more than once






28. When people agree with opposing statements; giving tacit agreement






29. Process in testing concurrent validity






30. Originally used with free association techniques; word called out - subject says next word in mind






31. 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






32. Measure the extent to which test measures what it intends to; concurrent - construct - content - face






33. When subjects act in ways they think experimenter wants or expects






34. Tests the same person at multiple time points and looks at changes within that person






35. There is a general factor in intelligence 'g'






36. Combines longitudinal and cross-sectional approach






37. 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






38. Developed concept of IQ and first intelligence test (Binet Scale)






39. 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






40. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50






41. 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






42. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale






43. When relationship inferred when there is none - ex: many people think there is a relationship between physical and personality characteristics - when evidence show there is none






44. Similar to word association - finish incomplete sentences






45. 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 -






46. Whether content covers a good sample of construct being measured






47. Whether test items look like they measure the construct






48. 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






49. 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






50. Not IQ - It is unlikely IQ captures all facets of it