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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. 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






2. Subjects alter behaviour because they are being observed






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






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






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






6. Knowing a fact






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






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






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






10. Knowing how to do something






11. Used when n-cases in a sample are classified into categories or cells - tell us whether the groups are significantly different in size - look at the pattern or distributions - not difference between mean - ex:intro psych class categorized into race -






12. 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






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






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






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






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






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






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






19. 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






20. 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






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






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






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






24. The most frequently occurring value






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






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






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






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






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






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






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






32. Whether test items look like they measure the construct






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






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






35. Similar to word association - finish incomplete sentences






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






37. Used when equivalent one cannot be isolated






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






39. 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






40. 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






41. For children 6-16






42. 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%






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






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






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






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






47. 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






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






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






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