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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. Knowing how to do something






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






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






4. Whether scores on a new measure correlate with other measures known to test the same construct; cross validation process






5. Whether test items look like they measure the construct






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






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






8. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety






9. Overall range or spread - most basic measure of variability - subtracts the lowest value from the highest value in a data set






10. Internal-External Locus of Control Scale






11. When subjects do and say what they think puts them in a favorable light -ex: reporting they are not racist even if they really are






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






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






14. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable






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






16. 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






17. 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






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






19. How the score are spread out overall






20. 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






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






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






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






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






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






26. The most frequently occurring value






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






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






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






30. Like a histogram except that the vertical bars do not touch - various columns are separated by space






31. Similar to word association - finish incomplete sentences






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






33. Tell you the average extent to which scores were different from the mean - if average standard deviation is large - then scores were highly dispersed






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






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






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






37. 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






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






39. 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






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






41. 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%






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






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






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






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






46. Used when equivalent one cannot be isolated






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






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






49. 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






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