Reflection apa format reference less than 5 years

profilebutterflyl
NGR6812Week6ReliabilityandValidity.ppt

5. Reliability and Validity

What are random error and systematic error, and how do they

influence measurement?

What is reliability? Why must a measure be reliable?

How are test-retest and equivalent-forms reliability measured?

How are split-half reliability and coefficient alpha used to

assess the internal consistency of a measured variable?

What is interrater reliability?

What are face validity and content validity?

How are convergent and discriminant validity used to assess

the construct validity of a measured variable?

What is criterion validity?

What methods can be used to increase the reliability and validity

of a self-report measure?

How are reliability and construct validity similar? How are

they different?

Random and Systematic Error

Random Error

Systematic Error

1) fluctuations in the person’s current mood.

2) misreading or misunderstanding the questions

3) measurement of the individuals on different days or in different

places.

These error may cancel out as you collect many samples

Sources of error including the style of measurement, tendency

toward self-promotion, cooperative reporting, and other conceptual

variables are being measured.

So, we have to reduce these errors to prove scientific findings

How well do our measured variables “capture” the conceptual

variables?

Reliability

Construct Validity

CVs

CVs

*

*

*

*

*

*

*

*

*

*

*

*

*

*

*

*

*

The extent to which the variables

are free from random error, usually

determined by measuring the

variables more than once.

The extent to which a measured

variable actually measures the

conceptual variables that is design

to assess the extent to which it is

known to reflect the conceptual

variable other measured variables

Test-Retest Reliability

The extent to which scores on the same

measured variable correlate with each

other on two different measurements

given at two different time.

Questionnaire 9/20

___ I feel I do not have much proud of.

___ On the whole, I am satisfied with myself

___ I certainly feel useless at times

___ At times I think I am no good at all

___ I have a number of good qualities

___ I am able to do things as well as others

Questionnaire 9/27

___ I feel I do not have much proud of.

___ On the whole, I am satisfied with myself

___ I certainly feel useless at times

___ At times I think I am no good at all

___ I have a number of good qualities

___ I am able to do things as well as others

4

3

2

1

4

3

4

4

1

1

4

4

Retesting Effect

Equivalent-Forms Reliability

The extent to which two equivalent

variables given at different time

correlate each other.

Example. GRE, SAT, GMAT, TOEFL

22 X 45 =

85 X (23-11) =

72-14 X 12 X (7-1) =

32 X 45 =

85 X (41-11) =

72-14 X 25 X (6-1) =

Reliability as Internal Consistency

The extent to which the scores on

the items correlate with each other

and thus are all measuring the true

score rather than reflecting random

error.

Questionnaire 9/20

___ I feel I do not have much proud of.

___ On the whole, I am satisfied with myself

___ I certainly feel useless at times

___ At times I think I am no good at all

___ I have a number of good qualities

___ I am able to do things as well as others

How Do You Measure

Internal Consistency?

Coefficient Alpha

Split-half Reliability

Interrater Reliability

The extent to which the scores

counted by coders correlate

each other.

Aggression Code

Coder 1 Coder 2

Hit boy A ______ ______

Hit boy B ______ ______

Hit girl A ______ ______

Hit girl B ______ ______

1

3

3

1

3

3

2

1

How Do You Measure

Interrater Reliability?

Cohen’s Kappa

Test-Retest Reliability

Equivalent-Forms

Reliability

Reliability as

Internal Consistency

Interrater Reliability

Questionnaire 1

Item 1

Item 2

Item 3

t

Questionnaire 1

Item 1

Item 2

Item 3

Questionnaire 2

Item 1

Item 2

Item 3

Validity

The extent to which a measured variable

actually measures the conceptual variable

(that is, the construct) that it is designed

to assess.

Construct Validity

Criterion Validity

The extent to which a self-report measure

correlates with a behavioral measured

variables.

Face Validity

The extent to which the measured

variable appears to be an adequate

measure of the conceptual variables

I don’t like Japanese

Strongly Disagree 1 2 3 4 5 6 7 8 Strongly Agree

Measured

Variable

Conceptual

Variable

Discrimination

towards Japanese

X

Construct Validity

Content Validity

The degree to which the measured

variable appears to have adequately

sampled from the potential domain

of question that might relate to

the conceptual variable of interest.

Intelligence

Math Aptitude

Verbal Aptitude

Sympathy

Construct Validity

Convergent Validity

Construct Validity

Discriminant Validity

The extent to which a measured variable

is found to be related to other measured

variables designed to measure the same

conceptual variable.

The extent to which a measured variable

is found to be unrelated to other measured

variables designed to measure the different

conceptual variables.

Interdependence Scale

Collectivism Scale

Independence Scale

Interdependence Scale

Predictive Validity

Concurrent Validity

Criterion Validity

The extent to which the scores

can predict the participants’

future performance.

Example. GRE, SAT...

The extent to which the self-report

measure correlate with the behavioral

measure that is assessed at the same

time.

How Do You Improve the Reliability and Validity of

Your Measured Variables?

1. Conduct a pilot test, trying out a questionnaire or other

research instruments on a small group.

2. Use multiple measures.

3. Ensure variability that there is in your measures.

4. Write good items.

5. Get your respondents to take your questions

seriously.

6. Make your items nonreactive.

7. Be certain to consider face and content validity by choosing

reasonable terms and that cover a broad range of issues

reflecting the conceptual variables..

8. Use existing measures.

Face Validity

Content Validity

Convergent Validity

Discriminant Validity

Predictive Validity

Concurrent Validity

Measured

Variables

(Self-Report)

Conceptual

Variables

Other

Domain of the

CVs

Future

behaviors

time

Measured

Variables

(Behavioral)

Items-Scales

Other Items-Scales

Similar Items-Scales