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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. 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






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






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






4. 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






5. Similar to T-test - but can measure more than 2 groups






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






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






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






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






10. 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






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






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






13. Measure of fascism or authoritarian personality






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






15. 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






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






17. Knowing a fact






18. Not to diagnose depression but assess severity of depressive symptoms; used by researcher or clinician to track course of depressive symptoms






19. 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






20. Internal-External Locus of Control Scale






21. 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






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






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






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






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






26. Have order - equal intervals and a real zero ex: age






27. 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






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






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






30. Includes: testable hypothesis - reproducible experiment - operationalized definition (observable and measurable)






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






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

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






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






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






36. Subjects alter behaviour because they are being observed






37. 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






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






39. Combines longitudinal and cross-sectional approach






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






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






42. How the score are spread out overall






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






44. 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






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






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






47. 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






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






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






50. Mean is 0 - and SD=1 - This with Z-score allow you to compare one person'S score on two different distributions