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






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






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






4. 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 -






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






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






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






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






9. Used most commonly on standardized test






10. How stable measure is; test-retest - split-half






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






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






13. 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






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






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






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






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






18. Not simple and linear - looks like a curved line - ex: arousal and perfomance - high A --> low P - Low A --> low P - medium A --> high P






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






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






21. The hypothesis that no real differences or pattern exist






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






23. Tests whether at least 2 groups co-vary - can adjust for preexisting differences between groups






24. 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%






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






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






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






28. How the score are spread out overall






29. Process in testing concurrent validity






30. Compares 2 groups of people at the same time point






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






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






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






34. Knowing how to do something






35. Developed concept of IQ and first intelligence test (Binet Scale)






36. 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






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






38. 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






39. 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






40. 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






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






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






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






44. Whether test items look like they measure the construct






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






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






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






49. 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






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







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