CHAPTER2 Flashcards

1
Q

OPERATIONAL DEFINITION

A

describes exactly what the variables are and how they are measured within the context of a study.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

SECONDARY ANALYSIS

A

The process of data collection that examines information that has been collected by someone else.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

QUALITATIVE ANALYSIS

A

The process of gathering more specific and detailed information from the sample being studied.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

GENERALIZATION

A

a statement about the recurrent relationships between particular variables.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

DATA

A

Information in some form that needs statistical interpretation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

MEAN

A

average. add up all numerical values and divide it by total number of respondents

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

HYPOTHESIS

A

A prediction about the outcome of manipulated variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

RELIABILITY

A

the process of ensuring that research findings are consistent if they are to be replicated by other scientists.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

QUANTITATIVE ANALYSIS

A

the process of reducing general research data into numbers.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

DEPENDENT VARIABLE

A

the outcome of manipulated variables, which researchers then measure to determine its overall significance. This is your EFFECT variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

INDEPENDENT VARIABLE

A

This is the variable that researchers manipulate to determine its influence on the outcome of the second set of variables. This is your CAUSE variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

VALIDITY

A

the researcher must make sure that their operational definitions measure what they were intended to measure.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

CORRELATION

A

established statistical relationships between particular Variables. There are (3) types of correlations:

  1. POSITIVE this occurs when one variable increases, a second variable will increase with it. Ex. The higher your education, the more money one is likely to make.
  2. NEGATIVE this occurs when one variable increases, and a second variable decreases. Ex. Not all college graduates will become financially successful.
  3. SPURIOUS this occurs when both variables appear to be statistically related, but not logically acceptable.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

PROBABILITY

A

argues that generalizations will hold good only under specific conditions because if circumstances change, other variables might come into play and influence the existing relationship.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

RANDOM SAMPLE

A

designed to ensure that each subject has an equal chance of being selected into a research study.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

ANALYSIS

A

The process of interpreting gathered data; usually through statistical measurements.

17
Q

PARTICIPANT OBSERVATION

A

the researcher becomes personally involved in the activities of their subjects.

18
Q

EMPIRICAL ANALYSIS

A

research based solely on scientific observation and evaluation.

19
Q

PERSONAL INTERVIEW

A

A form of research conversation in which a specific list of questions will be asked to the respondent.

20
Q

NATURALISTIC OBSERVATION

A

the researcher observes their subjects at a distance without revealing their identity or intentions.

21
Q

HAWTHORNE EFFECT

A

Occurs when a subject’s behavior changes when they are being observed or evaluated.

22
Q

SPURIOUS CORRELATION

A

when both variables appear to be statistically related, but not logically acceptable.

23
Q

EXPERIMENT

A

the process of scientific analysis in which independent variables are introduced to determine their effect on other variables.

24
Q

VARIABLE

A

a characteristic that can change across time, across space, or from one individual or group to another

25
Q

TEMPORAL PRIORITY

A

Organizing variables to ensure that the cause happens before the effect.

26
Q

CAUSATION

A

occurs when one variable influences the outcome of a second variable.