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






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






3. How the score are spread out overall






4. Frequency polygon (continuous variables) - histogram/ bar graph (discrete)






5. When subject behave differently just because they thing that they have received the treatment substance or condition






6. Attitude change in response to feeling that options are limited; e.g. dislike experiment and intentionally behaving unnaturally - or being set on a certain flavour of ice cream as soon as told it is sold out






7. 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






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






9. Revised Binet'S version - used with children - organized by age level - Best known predictor of future academic achievement






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






11. Measure innate ability to learn (debatable) - to predict later performance






12. 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






13. Capable of showing order and pacing because equal spaces lie between the values - do not include real zero - ex: temperature






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






15. Calculates how off the mean might be in either direction






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






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






18. The hypothesis that no real differences or pattern exist






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






20. Knowing how to do something






21. 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






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






23. 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%






24. Personality measure for 'normal' / less clinical groups than MMPI - by Harrison Gough






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






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






27. Subjects alter behaviour because they are being observed






28. For children 4-6






29. Numerically calculating and expressing correlation - r range -1 to +1 - 0 = no relationship






30. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters






31. Interest in the effect of independent variable on the dependent variable - often manipulated by applying it in experimental or treatment condition and withholding it from control condition






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






33. Used most commonly on standardized test






34. The process of representing or analyzing numerical data






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






36. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant






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






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






39. Aims to match demographic characteristics to population (i.e. 50% female - etc)






40. 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






41. Whether test really taps abstract concept being measured






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. 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






44. 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






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






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






47. Neither purely descriptive nor purely inferential - can only show relationship - not causality - positive and negative correlation






48. Comparing an individual'S performance on 2 halves of the same test to reveal internal consistency; internal consistency can be increased by item analysis






49. 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






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