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GRE Psychology: Measurement And Methodology

Subjects : gre, psychology
Instructions:
  • Answer 50 questions in 15 minutes.
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  • Match each statement with the correct term.
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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. 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






2. 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






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






4. Combines longitudinal and cross-sectional approach






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






6. 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






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






8. The process of representing or analyzing numerical data






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

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






11. The most frequently occurring value






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






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






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






16. 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






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






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






19. 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






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






21. 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






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






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






24. Whether test really taps abstract concept being measured






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






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






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






28. Population --> sample/subgroup --> representative and unbiased --> achieved through random sampling --> if it'S not feasible - use convenience sampling instead or stratified sampling






29. Knowing how to do something






30. 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






31. 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






32. 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






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






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






35. Number of SD a score is from the mean - For normal distribution - (-3 to +3)






36. The hypothesis that no real differences or pattern exist






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






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






39. 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






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






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






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






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






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






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






48. How the score are spread out overall






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






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






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