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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. Order - variables need to be arranged by order (not necessarily equally spaced) - ex: maranthon finishers






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






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






4. Knowing a fact






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






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






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


8. Studying the same objects at different points in the lifespan and provides better - more valid results than most other methods - costly - time commitment






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






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






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






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






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






14. 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






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






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






17. Analyses how a large group responded to each item on the measure; weeds out problematic questions with low discriminatory value; increases internal consistency






18. Measure how well you know a subject - measure past learning






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






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






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






22. The process of representing or analyzing numerical data






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






24. 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






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






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






27. 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






28. The hypothesis that no real differences or pattern exist






29. Measure of fascism or authoritarian personality






30. How stable measure is; test-retest - split-half






31. 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






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






33. 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






34. Whether test items look like they measure the construct






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






36. Subjects alter behaviour because they are being observed






37. How the score are spread out overall






38. Knowing how to do something






39. Used when equivalent one cannot be isolated






40. Whether test really taps abstract concept being measured






41. For children 4-6






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






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






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






45. 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. Strong-Campbell Interest Inventory






46. Different subjects of different ages are compared - faster - easier






47. Number of SD a score is from the mean - For normal distribution - (-3 to +3)






48. 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






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






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