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






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






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






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






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






6. Similar to word association - finish incomplete sentences






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






8. 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%






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






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






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






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






13. 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






14. 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






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






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






17. Have order - equal intervals and a real zero ex: age






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






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






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






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






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






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






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






25. 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






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






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






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






29. The most frequently occurring value






30. 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 -






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






32. How much variation there is among n number of scores in a distribution






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






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






36. 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






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






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






39. 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






40. 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






41. Knowing a fact






42. The hypothesis that no real differences or pattern exist






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






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






45. Intelligence in relation to performance; pioneered development of psychometrics - 'no intelligence is culture-free'






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






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






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






49. 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






50. Does not control - but examines how independent variable affects it