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






2. 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






3. Describe what is seen in each of 10 inkblots; scoring is complex; validity questionable






4. How the score are spread out overall






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






6. Critical of personality trait-theory and personality tests; felt situations (not traits) decide actions






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






8. 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






9. Created multitrait-multimethod technique to determine validity of tests






10. Neither the subject nor the experimenter know whether the subject is assigned to the treatment or the control group






11. The age level of a person'S functioning according to the IQ test






12. Measure mastery in a particular area (e.g. final exam)






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






14. Give descriptive names - No order or relationship among the variables other than to separate them into groups - ex: male-female






15. 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






16. Empirical-keying or criterion-keying approach; to determine of subject is like a particular group or not






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






18. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups






19. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity






20. 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






21. The hypothesis that no real differences or pattern exist






22. Experimenter bias; researchers see what they want to see; minimized in double-blind






23. Tests the effects of two independent variables or treatment conditions at once






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






25. Bell curve; larger the sample - greater chance of having a normal distribution






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






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






28. Step beyond correlations; allows not only identification of relationship between 2 variables - also make predictions






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






30. Similar to word association - finish incomplete sentences






31. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling






32. Assess extent interests and strengths match those found by professionals in a particular job field






33. 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






34. Every member of the population has an equal chance of being chosen for the sample






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

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36. Inactive substance or condition disguised as a treatment substance or condition - used to form control group






37. 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






38. Does not control - but examines how independent variable affects it






39. If it is significant - same finding can be generalized to the population - use test of significant to reject null hypothesis






40. 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






41. The degree to which the result from an experiment can be applied to the population and the real world






42. 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 -






43. 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






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






45. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)






46. Knowing a fact






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






48. Rosenthal effect; researchers see what they want to see; minimized in double-blind






49. Naturalistic setting - less control over environment than in lab; generates more hypotheses than able to prove






50. Measures the extent to which items in a measure 'hang together' and test the same thing