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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. Compares 2 groups of people at the same time point






2. Subjects alter behaviour because they are being observed






3. compares means of 2 different groups to see if the two groups are truly different - analyze differences between means on continuous data - particularly useful with small n - cannot test for difference between more than 2 groups






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






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






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






7. Allow generalization from sample to population - statistics (sample) - parameters (population): use statistics to estimate parameters






8. Measure mastery in a particular area (e.g. final exam)






9. 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






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






11. 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






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






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






14. 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






15. Knowing how to do something






16. 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






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






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






19. Used most commonly on standardized test






20. Personality test from Jung'S theory; 93 questions 2 answers each; 4-letter personality type - each letter 1 of 2 possible opposing characteristics: Introverted vs. Extraverted - Sensing vs. Intuition - Feeling vs. Thinking - and - Judgment vs. Percep






21. Mean (standard error of mean) - median mode; normal and platykuric: equal; positively skewed: mode - med - mean; negatively skewed: mean - med - mode; bimodal: equal mean and med - 2 modes






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






23. 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






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






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






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






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






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






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






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

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






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






33. The hypothesis that no real differences or pattern exist






34. Used when equivalent one cannot be isolated






35. Measure the extent to which test measures what it intends to; concurrent - construct - content - face






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






37. The process of representing or analyzing numerical data






38. Internal-External Locus of Control Scale






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






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






41. 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%






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






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






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






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






46. Assess extent interests and strengths match those found by professionals in a particular job field






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






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






49. 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%






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