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Test your basic knowledge |
Research Methods
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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. Percentage of scores falling at or below a specific score.
correlation coefficient
population
percentile rank
statistical significance
2. 'Fake subjects' that look & behave like real subjects in study.
frequency polygon
interval data
confederates
sampling bias
3. Form of validity in which a psychological measure is able to predict some future behavior or is meaningfully related to some other measure
criterion validity
construct validity
longitudinal research
ordinal data
4. Statistical measure of strength of association between two variables ranging from -1.0 to 1.0
naturalistic observation
stratified sample
operational definition
correlation coefficient
5. Sample drawn in such a way that known subgroups within a population are represented in proportion to their numbers in general population
generalizability
nominal data
double-blind procedure
stratified sample
6. Arithmetic average of a distribution -
construct validity
hypothesis
ratio data
mean
7. The tendency for people to behave differently when they know they are being studied
Hawthorne Effect
naturalistic observation
experimental condition
statistical significance
8. Giving participants in a research study a complete explanation of the study after the study is completed needed for deception
dependent variable
cross-sectional research
normal distribution
debriefing
9. Extent to which the findings from one group (or sample) can be generalized or applied to other groups (or population
dependent variable
generalizability
type one error
face validity
10. Research in which the same people are re-studied and re-tested over a long period
social desirability bias
longitudinal research
inter-rater reliability
naturalistic observation
11. Occur when the questions asked on a sample survey are confusing or leading
stratified sample
wording effects
control condition
confounding of variables
12. Data with an absolute 0. Ratios are meaningful. (Length - Width - Weight - Distance)
ratio data
empiricism
negative correlation
extraneous variables
13. 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.
nominal data
confounding of variables
sampling bias
longitudinal research
14. Change in subject's behavior caused simply by awareness of being studied
Hawthorne Effect
confederates
stratified sample
ordinal data
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
Hawthorne Effect
z score
quasi-experiment
placebo effect
16. Difference between highest and lowest scores in a distribution.
hindsight bias
control condition
range
psychological test
17. Set of assumptions used to explain phenomena & offered for scientific study
dependent variable
theory
wording effects
scientific method
18. 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.
longitudinal research
extraneous variables
n
inter-rater reliability
19. Statement that describes how to measure a particular variable or define a particular term specifically in a study
operational definition
random sample
p value
positive correlation
20. More than one individual scores same test - regardless of who rates test - scores should be the same for _____ reliability
false consensus effect
null hypothesis
inter-rater reliability
hypothesis
21. Method by which participants are misinformed or misled about study's methods and purposes - must be told truth about this in debriefing
operational definition
replication
sampling bias
deception
22. Symbol used to represent the total number of subjects in a research study
n
type two error
ordinal data
negative (left) skew
23. The probability level which forms basis for deciding if results are statistically significant (not due to chance).
quasi experiment
frequency polygon
dependent variable
p value
24. Skewed distribution with many more scores on the higher end of the distribution
negative (left) skew
p value
population
debriefing
25. Descriptive research technique in which one person or a small group is studied in depth in hope of revealing universal principles
case study
ordinal data
positive correlation
operational definition
26. 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
Hawthorne Effect
wording effects
split half reliability
meta analysis
27. Rejecting null hypothesis when it is actually true - a false positive
type one error
stratified sample
nominal data
placebo effect
28. 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
n
hypothesis
cross-sectional research
29. Middle score in a distribution; half scores are above it and half are below it.
dependent variable
random sample
median
quasi experiment
30. Results of experiment are SIGNIFICANT - they are not likely caused by chance
p<.05
negative correlation
double-blind procedure
random selection
31. Procedure for statistically combining results of many different research studies
random sample
scatterplot
construct validity
meta analysis
32. Tendency to overestimate extent to which others share our beliefs and behaviors
frequency histogram
nominal data
false consensus effect
n
33. All cases in a group - from which samples may be drawn for a study
overconfidence effect
random selection
validity
population
34. Experimental factor that is manipulated; variable whose effect is being studied.
ANOVA
independent variable
standard deviation
experimenter bias
35. Perception of a correlation between variables where none exists.
standard deviation
theory
illusory correlation
positive correlation
36. A type of reliability - where different versions of same instrument are used and scores are compared
cross-sectional research
hypothesis
alternate form reliability
sampling bias
37. Research project designed to discover degree to which two variables are related to each other
percentile rank
correlational study
type two error
placebo effect
38. Data exists in categories that are ordered but differences cannot be determined or they are meaningless. (Example: 1st - 2nd - 3rd)
replication
ordinal data
Hawthorne Effect
random assignment
39. When a specific word used in a question affects how respondents answer the question or the order of the questions
Hawthorne Effect
negative correlation
wording effects
debriefing
40. Type of line graph that shows frequency distributions
validity
frequency polygon
range
random assignment
41. Bar graph that shows frequency distributions
frequency histogram
face validity
experimenter bias
debriefing
42. Most frequently occurring score(s) in a distribution.
illusory correlation
scatterplot
frequency histogram
mode
43. Extent to which scores suggest that a test is actually measuring an ABSTRACT theoretical idea (such as anxiety - personality - introversion - etc.).
case study
construct validity
random selection
scatterplot
44. Tendency to give socially approved answers to questions about oneself.
n
social desirability bias
placebo effect
extraneous variables
45. Correlation where as one variable increases - the other also increases - or as one decreases so does the other. Both variables move in same direction.
meta analysis
Hawthorne Effect
positive correlation
type two error
46. Degree to which test is representative of total domain its supposed to cover.
validity
content validity
split half reliability
wording effects
47. Assigning participants to experimental and control conditions by chance - thus minimizing preexisting differences between those assigned to different groups.
case study
nominal data
experimenter bias
random assignment
48. Extent to which a test measures or predicts what it is supposed to - test accuracy
extraneous variables
cross-sectional research
standard deviation
validity
49. People of different ages are compared to one another at a single point in time
mode
alternate form reliability
cross-sectional research
empiricism
50. Hypothesis that predicts NO relationship between variables. The aim of research is to reject this hypothesis
theory
null hypothesis
positive correlation
scientific method
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