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Test your basic knowledge |
Research Methods
Start Test
Study First
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. Experimental procedure in which both research participants and research staff are ignorant about whether the research participants have received the treatment or a placebo.
double-blind procedure
false consensus effect
inter-rater reliability
confederates
2. Degree to which test is representative of total domain its supposed to cover.
content validity
case study
extraneous variables
type two error
3. When a specific word used in a question affects how respondents answer the question or the order of the questions
wording effects
null hypothesis
hindsight bias
false consensus effect
4. Change in subject's behavior caused simply by awareness of being studied
Hawthorne Effect
single-blind procedure
percentile rank
scatterplot
5. Tendency to give socially approved answers to questions about oneself.
social desirability bias
construct validity
r
debriefing
6. Symbol used for Pearson Correlation Coefficient ranges from -1.0 to +1.0
r
quasi-experiment
case study
deception
7. Procedure for statistically combining results of many different research studies
hypothesis
meta analysis
p value
statistical significance
8. Tendency to overestimate extent to which others share our beliefs and behaviors
correlational study
frequency polygon
false consensus effect
content validity
9. Factors in an experiment that are unchanged for both the control group and the experimental group
independent variable
meta analysis
median
controls
10. A type of reliability - where different versions of same instrument are used and scores are compared
alternate form reliability
quasi experiment
controls
test-retest reliability
11. Experimental factor that is manipulated; variable whose effect is being studied.
theory
type one error
independent variable
nominal data
12. Testable and falsifiable prediction - often implied by a theory
frequency polygon
interval data
hypothesis
replication
13. Statement that describes how to measure a particular variable or define a particular term specifically in a study
ANOVA
interval data
operational definition
negative correlation
14. Difference between highest and lowest scores in a distribution.
content validity
correlation coefficient
longitudinal research
range
15. Statistical measure of strength of association between two variables ranging from -1.0 to 1.0
nominal data
correlation coefficient
test-retest reliability
Hawthorne Effect
16. Variable that may change in response to manipulations of the IV (what is measured)
dependent variable
case study
n
positive correlation
17. Data exists in categories that are ordered but differences cannot be determined or they are meaningless. (Example: 1st - 2nd - 3rd)
median
mode
ordinal data
negative (left) skew
18. 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.
confounding of variables
n
double-blind procedure
positive (right) skew
19. Perception of a correlation between variables where none exists.
illusory correlation
random assignment
placebo effect
inter-rater reliability
20. Arithmetic average of a distribution -
percentile rank
correlation
deception
mean
21. Bar graph that shows frequency distributions
placebo effect
type one error
frequency histogram
r
22. Statement of procedures used to explain research variables in enough detail to allow for replication
operational definition
single-blind procedure
population
scatterplot
23. View that science flourishes through observation and experiment.
double-blind procedure
nominal data
n
empiricism
24. Data with an absolute 0. Ratios are meaningful. (Length - Width - Weight - Distance)
ratio data
hindsight bias
cohort effects
case study
25. Series of steps followed to solve problems including collecting data - formulating a hypothesis - testing the hypothesis - and stating conclusions
scientific method
content validity
split half reliability
operational definition
26. If you take the same test 2x's & you get the same results it shows ______ reliability
naturalistic observation
test-retest reliability
random sample
r
27. Assigning participants to experimental and control conditions by chance - thus minimizing preexisting differences between those assigned to the different groups
correlation coefficient
cross-sectional research
confounding of variables
random assignment
28. Symbol used to represent the total number of subjects in a research study
ratio data
n
face validity
random selection
29. Giving participants in a research study a complete explanation of the study after the study is completed needed for deception
naturalistic observation
debriefing
positive (right) skew
z score
30. 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
case study
random assignment
ratio data
experimenter bias
31. 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
face validity
wording effects
construct validity
percentile rank
32. 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)
quasi experiment
percentile rank
stratified sample
alternate form reliability
33. 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
hindsight bias
n
z score
cohort effects
34. 'Fake subjects' that look & behave like real subjects in study.
debriefing
scatterplot
confederates
extraneous variables
35. Differences between values can be found - but is NO absolute ZERO. Examples: temperature F - time
interval data
r
correlation coefficient
debriefing
36. Results of experiment are SIGNIFICANT - they are not likely caused by chance
illusory correlation
naturalistic observation
alternate form reliability
p<.05
37. Measure of the extent to which two factors vary together which can be positive or negative or non
construct validity
case study
content validity
correlation
38. Skewed distribution where data has many more scores toward the lower end of the distribution
control condition
positive (right) skew
null hypothesis
inter-rater reliability
39. Procedure in which info that could introduce bias the result is withheld from participants - but experimenter will be in full possession of facts
case study
nominal data
ANOVA
single-blind procedure
40. Condition of experiment that exposes participants to treatment - that is - to one version of the IV
experimental condition
experiment
validity
content validity
41. Extent to which scores suggest that a test is actually measuring an ABSTRACT theoretical idea (such as anxiety - personality - introversion - etc.).
construct validity
stratified sample
negative correlation
validity
42. Rejecting null hypothesis when it is actually true - a false positive
false consensus effect
type one error
range
random selection
43. Method by which participants are misinformed or misled about study's methods and purposes - must be told truth about this in debriefing
deception
overconfidence effect
frequency polygon
control condition
44. 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
random sample
quasi-experiment
normal distribution
random assignment
45. 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.
scatterplot
replication
n
cohort effects
46. 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.
extraneous variables
independent variable
wording effects
range
47. We overestimate our accuracy and our changes of success and ability to predict and explain
standard deviation
normal distribution
overconfidence effect
extraneous variables
48. Research method in which investigator manipulates one or more factors (IV) to observe effect on some behavior or mental process (DV)
mean
experiment
range
z score
49. Sample that fairly represents a population because each member has an equal chance of inclusion.
standard deviation
random sample
construct validity
stratified sample
50. Middle score in a distribution; half scores are above it and half are below it.
median
independent variable
standard deviation
experimental condition