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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. Inactive substance or condition disguised as a treatment substance or condition - used to form control group






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






3. Knowing how to do something






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






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






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






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






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






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






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






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






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






13. 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






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






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






16. 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 -






17. 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






18. Organize data by showing it in a meaningful way; do not allow conclusions to be drawn beyond the sample; percentiles - frequency distributions - graphs - measures of central tendency - variability






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






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






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






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






23. Process in testing concurrent validity






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






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






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






27. 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






28. There is a general factor in intelligence 'g'






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






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






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






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






33. Mathematically combines and summarizes overall effects or findings for a topic; best known for consolidating effectiveness of psychotherapy - can calculate overall effect size or conclusion drawn from a collection of studies; needed when conflicting






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






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






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






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






38. Used when equivalent one cannot be isolated






39. Structured - do not allow own answers; more objective than projective tests; not completely objective because most self-reported; Q-sort - Minnesota Multiphasic Personality Inventory (MMPI) - California Personality Inventory (CPI) - Myers-Brigg Type






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






41. 31 cards (1 blank and 30 pictures) with interpersonal scenes (2 people facing each other); subject tells story about each which reveals aspects of personality; often measure need for achievement; interpreting terms include needs - press - personology






42. 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






43. Tests whether the means on one outcome or dependent variable are significantly different across groups - height or level of anxiety from anxiety scale






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






45. 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%






46. Measure mastery in a particular area (e.g. final exam)






47. 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






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






49. 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






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






Can you answer 50 questions in 15 minutes?



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