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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. Transformation of a z-score - mean is 50 and the SD is 10 - T=10(Z)+50






2. 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






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






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






5. 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






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






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






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






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






10. Attempt to measure less-defined properties (e.g. intelligence) - check for reliability and validity






11. 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






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






13. For children 6-16






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






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






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






17. 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%






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






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






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






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






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






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






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






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






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






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






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






29. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type






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






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






32. The process of representing or analyzing numerical data






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






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






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






36. Subjects alter behaviour because they are being observed






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






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






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






40. 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






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






42. 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






43. For children 4-6






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






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






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






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






48. Might show how often different variables appear; nominal - ordinal - interval - ratio (real zero)






49. The hypothesis that no real differences or pattern exist






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