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. Association between increases in one variable and decreases in another






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






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






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






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






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






7. Experimental procedure in which both research participants and research staff are ignorant about whether the research participants have received the treatment or a placebo.






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






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






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






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






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






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






14. People of different ages are compared to one another at a single point in time






15. Subset of a population in which every element in the population has an equal chance of being selected






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






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






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






19. Variable that may change in response to manipulations of the IV (what is measured)






20. Arithmetic average of a distribution -






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






22. Testable and falsifiable prediction - often implied by a theory






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






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






25. Graphed cluster of dots - each of which represents the values of two variables. The slope of the points suggests the direction of the relationship between the two variables.






26. 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






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






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






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






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






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






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






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






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






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






36. 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






37. 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






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






39. View that science flourishes through observation and experiment.






40. Type of line graph that shows frequency distributions






41. 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






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






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






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






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






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






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






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






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






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