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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. Subjects alter behaviour because they are being observed






2. Every member of the population has an equal chance of being chosen for the sample






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






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






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






6. 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






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






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






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






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






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






12. Measure of fascism or authoritarian personality






13. Takes place in controlled setting must be able to control for: independent variable - dependent variable - and confounding variable






14. 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






15. 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






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






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






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






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






20. 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 -






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






22. How well a test measures a construct; multitrait-multimethod technique determines validity; internal - external: concurrent - construct - content - face






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






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






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






26. 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






27. Like a histogram except that the vertical bars do not touch - various columns are separated by space






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






29. 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






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






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






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






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






34. Measured by the same individual taking the same test more than once






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






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






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






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






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






40. Created multitrait-multimethod technique to determine validity of tests






41. Consist of vertical bars in which the sides of the vertical bars touch - useful for discrete variables that have clear boundaries - interval variables in which there is some order






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






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






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






45. The hypothesis that no real differences or pattern exist






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






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






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






49. Used most commonly on standardized test






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