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. View that science flourishes through observation and experiment.






2. In a normal distribution it tells you how far a number is above or below mean in terms of standard deviations.






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






4. Expectations by researcher that might influence results of experiment or its interpretation






5. 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.






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






7. Extent to which scores suggest that a test is actually measuring an ABSTRACT theoretical idea (such as anxiety - personality - introversion - etc.).






8. Bar graph that shows frequency distributions






9. Condition of experiment that exposes participants to treatment - that is - to one version of the IV






10. Difference between highest and lowest scores in a distribution.






11. Form of validity in which a psychological measure is able to predict some future behavior or is meaningfully related to some other measure






12. Skewed distribution with many more scores on the higher end of the distribution






13. In-depth - intensive investigation of individual or small group of people which involves interviews and personal interpretations by researcher. It may also be supplemented with psychological or medical tests






14. Assigning participants to experimental and control conditions by chance - thus minimizing preexisting differences between those assigned to different groups.






15. Assigning participants to experimental and control conditions by chance - thus minimizing preexisting differences between those assigned to the different groups






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






17. Indication of how likely a result obtained occurred by chance - expressed as p or sig.






18. Extent to which a test yields consistent results - a measure is repeatable






19. 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)






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






21. 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






22. Data with an absolute 0. Ratios are meaningful. (Length - Width - Weight - Distance)






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






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






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






26. Condition of experiment that contrasts with experimental condition and serves as a comparison for evaluating the effect of the treatment.






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






28. Giving participants in a research study a complete explanation of the study after the study is completed needed for deception






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






30. Data of categories only. Data cannot be arranged in an ordering scheme. (Gender - Race - Religion)






31. Type of line graph that shows frequency distributions






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






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






34. Procedure in which info that could introduce bias the result is withheld from participants - but experimenter will be in full possession of facts






35. Statement that describes how to measure a particular variable or define a particular term specifically in a study






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






37. The tendency for people to behave differently when they know they are being studied






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






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






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






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






42. All cases in a group - from which samples may be drawn for a study






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






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






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






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






47. Relationship that exists when one set of data values increases while the other decreases






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






49. 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.






50. Extent to which the findings from one group (or sample) can be generalized or applied to other groups (or population