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






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






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






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






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






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






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






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






10. 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






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






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






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






14. Tests the effects of two independent variables or treatment conditions at once






15. 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%






16. 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






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






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






19. 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






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






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






22. How the score are spread out overall






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






24. Allows own answer: expression of conflicts - needs - impulses; content interpreted by administrator - some more objective than others; Rorschach Inkblot Test - Thematic Apperception Test - Rosenzweig Picture-Frustration (P-F) Study - Word Association






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






26. 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 -






27. Attempts to eliminate/minimize these - variables in the environment that might also effect the dependent variable and blue the effect of independent variable on the dependent variable






28. 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%






29. For children 4-6






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






31. 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






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






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






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






35. 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






36. Whether test really taps abstract concept being measured






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






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






39. I when incorrectly reject null - thought significant but chance; II when incorrectly accept null - thought chance but significant






40. Subjects alter behaviour because they are being observed






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






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






43. Combines longitudinal and cross-sectional approach






44. 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






45. 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






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






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






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






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






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