SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. 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.
quasi experiment
case study
confounding of variables
split half reliability
2. Form of validity in which a psychological measure is able to predict some future behavior or is meaningfully related to some other measure
meta analysis
criterion validity
experiment
scientific method
3. Subset of a population in which every element in the population has an equal chance of being selected
cross-sectional research
social desirability bias
psychological test
random sample
4. 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.
replication
extraneous variables
case study
overconfidence effect
5. Correlation where as one variable increases - the other also increases - or as one decreases so does the other. Both variables move in same direction.
positive correlation
experimental condition
replication
extraneous variables
6. Giving participants in a research study a complete explanation of the study after the study is completed needed for deception
confounding of variables
illusory correlation
null hypothesis
debriefing
7. Sample that fairly represents a population because each member has an equal chance of inclusion.
mean
ratio data
random sample
placebo effect
8. Assigning participants to experimental and control conditions by chance - thus minimizing preexisting differences between those assigned to the different groups
p value
percentile rank
type one error
random assignment
9. Percentage of scores falling at or below a specific score.
operational definition
dependent variable
percentile rank
range
10. Change in subject's behavior caused simply by awareness of being studied
scientific method
independent variable
longitudinal research
Hawthorne Effect
11. Assigning participants to experimental and control conditions by chance - thus minimizing preexisting differences between those assigned to different groups.
random assignment
confounding of variables
population
false consensus effect
12. Middle score in a distribution; half scores are above it and half are below it.
statistical significance
cross-sectional research
experimental condition
median
13. 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
experimenter bias
type two error
illusory correlation
cohort effects
14. Symbol used to represent the total number of subjects in a research study
dependent variable
correlation coefficient
n
wording effects
15. Data with an absolute 0. Ratios are meaningful. (Length - Width - Weight - Distance)
random assignment
p value
theory
ratio data
16. Hypothesis that predicts NO relationship between variables. The aim of research is to reject this hypothesis
null hypothesis
scientific method
illusory correlation
type two error
17. Testable and falsifiable prediction - often implied by a theory
dependent variable
generalizability
theory
hypothesis
18. Descriptive research technique in which one person or a small group is studied in depth in hope of revealing universal principles
case study
population
negative correlation
type two error
19. Most frequently occurring score(s) in a distribution.
social desirability bias
mode
experimental condition
empiricism
20. Skewed distribution where data has many more scores toward the lower end of the distribution
negative correlation
population
positive (right) skew
control condition
21. Condition of experiment that exposes participants to treatment - that is - to one version of the IV
experimental condition
survey
experiment
content validity
22. Bar graph that shows frequency distributions
frequency histogram
experiment
face validity
content validity
23. Factors in an experiment that are unchanged for both the control group and the experimental group
controls
population
ordinal data
type two error
24. The probability level which forms basis for deciding if results are statistically significant (not due to chance).
percentile rank
validity
frequency histogram
p value
25. Variable that may change in response to manipulations of the IV (what is measured)
controls
dependent variable
type one error
control condition
26. Data of categories only. Data cannot be arranged in an ordering scheme. (Gender - Race - Religion)
standard deviation
false consensus effect
nominal data
negative correlation
27. Type of line graph that shows frequency distributions
illusory correlation
construct validity
naturalistic observation
frequency polygon
28. Perception of relationship where none exists.
wording effects
illusory correlation
positive (right) skew
quasi experiment
29. 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.
nominal data
content validity
mean
scatterplot
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
generalizability
theory
case study
type two error
31. Tendency to overestimate extent to which others share our beliefs and behaviors
false consensus effect
r
ANOVA
hypothesis
32. Series of steps followed to solve problems including collecting data - formulating a hypothesis - testing the hypothesis - and stating conclusions
frequency histogram
generalizability
reliability
scientific method
33. 'Fake subjects' that look & behave like real subjects in study.
confederates
negative correlation
n
z score
34. Procedure that ensures every person in a population has an equal chance of being chosen to participate
social desirability bias
standard deviation
random selection
ANOVA
35. A type of reliability - where different versions of same instrument are used and scores are compared
alternate form reliability
sampling bias
hypothesis
inter-rater reliability
36. When a specific word used in a question affects how respondents answer the question or the order of the questions
wording effects
random assignment
n
correlation coefficient
37. Research method in which info is obtained by asking many individuals a fixed set of questions
survey
naturalistic observation
random sample
construct validity
38. Descriptive research that involves observing and recording behavior without trying to manipulate and control the situation.
percentile rank
case study
naturalistic observation
operational definition
39. Extent to which scores suggest that a test is actually measuring an ABSTRACT theoretical idea (such as anxiety - personality - introversion - etc.).
hypothesis
p value
Hawthorne Effect
construct validity
40. View that science flourishes through observation and experiment.
percentile rank
empiricism
cross-sectional research
case study
41. Research project designed to discover degree to which two variables are related to each other
alternate form reliability
correlational study
positive correlation
stratified sample
42. Degree to which test is representative of total domain its supposed to cover.
test-retest reliability
single-blind procedure
interval data
content validity
43. Extent to which a test measures or predicts what it is supposed to - test accuracy
sampling bias
validity
ordinal data
percentile rank
44. 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.
illusory correlation
positive correlation
scatterplot
ordinal data
45. Data exists in categories that are ordered but differences cannot be determined or they are meaningless. (Example: 1st - 2nd - 3rd)
deception
confederates
ordinal data
type two error
46. Results of experiment are SIGNIFICANT - they are not likely caused by chance
confederates
reliability
p<.05
hypothesis
47. We overestimate our accuracy and our changes of success and ability to predict and explain
single-blind procedure
alternate form reliability
Hawthorne Effect
overconfidence effect
48. Research in which the same people are re-studied and re-tested over a long period
split half reliability
mean
overconfidence effect
longitudinal research
49. Skewed distribution with many more scores on the higher end of the distribution
wording effects
negative (left) skew
reliability
range
50. Repeating of research study to determine if its finding extends to other participants and circumstances
meta analysis
positive correlation
replication
criterion validity