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






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






3. Has plotted points connected by lines - used to plot variables that are continuous (categories without clear boundaries)






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






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






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






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






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






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






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






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






12. 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






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






14. 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






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






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






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






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 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






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






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






22. 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






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






24. Measure arousal of sympathetic nervous system - stimulated by lying and anxiety






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






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

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






28. 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






29. Use correlation coefficients in order to predict one variable y from another variable x - let you define a line on graph that describes the relationship between x and y - when the least-square line or regression line is fit to the data - basically: u






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






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






33. 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






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






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






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






37. For children 4-6






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






39. 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






40. 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






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






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






43. 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






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






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






46. The process of representing or analyzing numerical data






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






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






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






50. Fluid intelligence declines with old age while crystallized intelligence does not