Test your basic knowledge |

Research Methods

Subject : business-skills
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. Condition of experiment that contrasts with experimental condition and serves as a comparison for evaluating the effect of the treatment.






2. Tendency to give socially approved answers to questions about oneself.






3. A research method that looks like an experiment BUT subjects are not randomly assigned to control and experimental groups (no cause and effect can be drawn)






4. Data exists in categories that are ordered but differences cannot be determined or they are meaningless. (Example: 1st - 2nd - 3rd)






5. Tendency to believe - after learning an outcome - that one would have foreseen it.






6. Arithmetic average of a distribution -






7. Research in which the same people are re-studied and re-tested over a long period






8. Not rejecting null hypothesis when in fact we should have rejected it - a false negative






9. Descriptive research that involves observing and recording behavior without trying to manipulate and control the situation.






10. Type of line graph that shows frequency distributions






11. Effects of being born and raised in a particular time or situation where all other members of your group has similar experiences makes your group unique from others






12. Experimental results caused by expectations alone; any effect on behavior caused by the administration of an inert substance or condition - which is assumed to be an active agent.






13. Hypothesis that predicts NO relationship between variables. The aim of research is to reject this hypothesis






14. Symbol used to represent the total number of subjects in a research study






15. Researchers takes subjects & conditions as they naturally occur - with little if any control over what happens. no random assignment so no cause and effect can be determined






16. Extent to which a test measures or predicts what it is supposed to - test accuracy






17. Results of experiment are SIGNIFICANT - they are not likely caused by chance






18. Differences between values can be found - but is NO absolute ZERO. Examples: temperature F - time






19. 'Fake subjects' that look & behave like real subjects in study.






20. Rejecting null hypothesis when it is actually true - a false positive






21. Set of assumptions used to explain phenomena & offered for scientific study






22. Tendency to overestimate extent to which others share our beliefs and behaviors






23. Experimental factor that is manipulated; variable whose effect is being studied.






24. Occur when the questions asked on a sample survey are confusing or leading






25. Most frequently occurring score(s) in a distribution.






26. Statement of procedures used to explain research variables in enough detail to allow for replication






27. Sample that fairly represents a population because each member has an equal chance of inclusion.






28. Variables other than IV that participants in - one group have that makes them different - from the other group. Two variables linked together in a way that makes it difficult to sort out their specific effects.






29. When a specific word used in a question affects how respondents answer the question or the order of the questions






30. Skewed distribution where data has many more scores toward the lower end of the distribution






31. Bell-shaped curve that results when values of a trait in a population are plotted against their frequency






32. Statistical method for making simultaneous comparisons between two or more means






33. Descriptive research technique in which one person or a small group is studied in depth in hope of revealing universal principles






34. Percentage of scores falling at or below a specific score.






35. The probability level which forms basis for deciding if results are statistically significant (not due to chance).






36. Procedure for statistically combining results of many different research studies






37. Statistical measure of strength of association between two variables ranging from -1.0 to 1.0






38. Bar graph that shows frequency distributions






39. Repeating of research study to determine if its finding extends to other participants and circumstances






40. A type of reliability - where different versions of same instrument are used and scores are compared






41. We overestimate our accuracy and our changes of success and ability to predict and explain






42. Measuring device or procedure designed to measure psychology-related variables. A measurement that results in a score or result that is standardized






43. Variable not relevant to what you are studying that has unplanned effect on DV. It may influence results - but all conditions are effected so it does not create bias.






44. Research method in which info is obtained by asking many individuals a fixed set of questions






45. Association between increases in one variable and decreases in another






46. Middle score in a distribution; half scores are above it and half are below it.






47. Perception of a correlation between variables where none exists.






48. Research method in which investigator manipulates one or more factors (IV) to observe effect on some behavior or mental process (DV)






49. Computed measure of how much scores vary around the mean score.






50. Sample drawn in such a way that known subgroups within a population are represented in proportion to their numbers in general population