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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. Notable for cross-cultural application and simple directions - to make the best picture of a man - scored based on detail and accuracy - not artistic talent






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






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






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






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






6. How the score are spread out overall






7. Compares 2 groups of people at the same time point






8. 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






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






10. Knowing a fact






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






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






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






14. 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






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






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






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






18. A level of <0.05or <0.01 means that chance that seemingly significant errors are due to random variation rather than to true systematic variance is less than 5% or 1%






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






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






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






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






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






24. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face






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






26. 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






27. Similar to word association - finish incomplete sentences






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






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






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






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






32. 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






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






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






35. 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%






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






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






38. Process in testing concurrent validity






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






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






41. 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






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






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






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

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






46. The effect that might result when a group is born and raised in a particular time period






47. Used when equivalent one cannot be isolated






48. Anything that is measured such as height or depression score on a depression scale






49. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'






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