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






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






3. Bar graph that shows frequency distributions






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






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






6. Series of steps followed to solve problems including collecting data - formulating a hypothesis - testing the hypothesis - and stating conclusions






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






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






9. If you take the same test 2x's & you get the same results it shows ______ reliability






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






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






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






13. Measure of the extent to which two factors vary together which can be positive or negative or non






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






15. 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.






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






17. Measures whether a test looks like it tests what it is supposed to test as determined by a quick look or evaluation by a non expert






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






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






20. Degree to which test is representative of total domain its supposed to cover.






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






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






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






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






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






26. Research project designed to discover degree to which two variables are related to each other






27. Relationship between variables in which as one variable increases - the other also increases - OR as one decreases so does the other. Both variables move in the same direction.






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






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






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






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






32. Factors in an experiment that are unchanged for both the control group and the experimental group






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






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






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






36. Any selection method that results in subset of the population (sample) that is not representative - and/or not random






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






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






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






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






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






42. 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.






43. A test is divided into 2 halves and scores on the halves are compared to see if test is consistent within itself. Ex. compare odds & evens






44. More than one individual scores same test - regardless of who rates test - scores should be the same for _____ reliability






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






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






47. Method by which participants are misinformed or misled about study's methods and purposes - must be told truth about this in debriefing






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






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






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