Understanding Research Validity and Reliability: A Comprehensive Guide, Study notes of Production and Operations Management

An in-depth exploration of research validity and reliability, two essential concepts in research design. It covers the definitions, aspects, and methods to assess both validity and reliability, including internal, external, measurement, and statistical validity. The document also discusses the importance of measurement reliability and statistics, as well as ways to increase power and appropriate interpretation of results.

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Reliability and Validity
Validity
īš„Term most often used to judge the
quality or merit of a study
īš„Found on truth or fact, capable of being
justified or defended
īš„Webster, 1997
īš„Is the study/instrument measuring what
it says it measuring?
Reliability
īš„Fit to be trusted or relied on, trustworthy,
dependable
īš„Webster, 1997
īš„Consistency throughout a series of
measurements
īš„Cronbach, 1960, p. 127
īš„If you measure a variable more than once
with the same instrument, you will obtain
similar results.
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Reliability and Validity

Validity

Ā„ Term most often used to judge the

quality or merit of a study

Ā„ Found on truth or fact, capable of being

justified or defended

Ā„ Webster, 1997

Ā„ Is the study/instrument measuring what

it says it measuring?

Reliability

Ā„ Fit to be trusted or relied on, trustworthy,

dependable

Ā„ Webster, 1997

Ā„ Consistency throughout a series of

measurements

Ā„ Cronbach, 1960, p. 127

Ā„ If you measure a variable more than once

with the same instrument, you will obtain

similar results.

Measurement Reliability of Each Instrument

Measurement Validity of Each Instrument

Internal

Validity

Measurement Reliability and Statistics for the Study

Operations and Measurement Validity for the Study

External

Validity

Overall Research Validity of the Study

Overall validity of a research study depends on the four major aspects or dimensions of research validity and in turn on the measurement reliability and validity of the several variables.

Four Major Aspect of Research

Validity

Ā„ Internal validity

Ā„ External validity

Ā„ Measurement reliability and statistics

Ā„ Operations and measurement validity

Measurement Reliability of Each Instrument

Measurement Validity of Each Instrument

Internal

Validity

Measurement Reliability and Statistics for the Study

Operations and Measurement Validity for the Study

External

Validity

Overall Research Validity of the Study

Ā„ Other methods

Ā„ Random assignment of treatment to intact

groups

Ā„ Better than self assignment

Ā„ Example: Choosing a certain teacher in school

Ā„ Matching

Ā„ Matching participant characteristics other than

the IV

Ā„ Age, gender, educational level

Ā„ Pretest to test for equivalence

Ā„ Associational research

Ā„ One group

Ā„ Are participants who scored high on the IV

equivalent to those who scored low?

Control of Experience

/Environmental Variables

Ā„ Do extraneous variables effect on group more

than the other

Ā„ Ex: One groups finds out they are the control

Ā„ May give up

Ā„ May try extra hard eliminating potential

differences

Ā„ Associational

Ā„ Are the experiences for those high on the IV

different form those that are low

Ā„ Is something other than the IV affecting

the DV for both/all groups?

Ā„ Historical events, maturation

Ā„ Longitudinal studies

Ā„ Maturation IS a variable

Ā„ Very complex issue!

Measurement Reliability of Each Instrument

Measurement Validity of Each Instrument

Internal

Validity

Measurement Reliability and Statistics for the Study

Operations and Measurement Validity for the Study

External

Validity

Overall Research Validity of the Study

External Validity

Ā„ Answers the question of generalizability

Ā„ To what populations or settings can this

effect be generalized?

Ā„ Two aspects

Ā„ Population validity

Ā„ Ecological Validity

Sampling and

Internal/External Validity

Ā„ Internal validity not directly effected by

sample design

Ā„ Randomized experiments on a convenience

sample

Ā„ High internal validity

Ā„ Randomization control for extraneous

variables and group differences

Ā„ Careful about the word ā€œrandomā€

Ā„ Random selection of participants = high

external validity

Ā„ Random assignment of participants to

groups/treatments = high internal validity

Measurement Reliability and

Validity

Ā„ 2 aspects/dimensions

Ā„ Measurement reliability and statistics

Ā„ Operations and measurement validity

Measurement Reliability of Each Instrument

Measurement Validity of Each Instrument

Internal

Validity

Measurement Reliability and Statistics for the Study

Operations and Measurement Validity for the Study

External

Validity

Overall Research Validity of the Study

Measurement Reliability and

Statistics

Ā„ Also called ā€œstatistical conclusion

validityā€

Ā„ Measurement reliability is involved

(more on this later)

Ā„ Four important issues:

Ā„ Reliability of instruments/measures

Ā„ Where the variables measured reliably?

Ā„ A test or measure cannot be valid if it is

not reliable

Ā„ Appropriateness of power

Ā„ Can a statistically significant relationship be

detected, assuming one exists.

Ā„ This ability is calledpower

Operations and Measurement

Validity

Ā„ Are variables appropriately operationally

defined?

Ā„ Do they measure the concepts or

constructs under investigation?

Ā„ The key is whether operational

definitions are representative of the

intended concept or construct.

Measurement Reliability of Each Instrument

Measurement Validity of Each Instrument

Internal

Validity

Measurement Reliability and Statistics for the Study

Operations and Measurement Validity for the Study

External

Validity

Overall Research Validity of the Study

Methods to assess

Ā„ Test-Retest Reliability

Ā„ Common

Ā„ Same sample take test A and later take

test B

Ā„ Correlate the two sets of scores (Pearson

Product Moment Correlation Coefficient)

Ā„ .8 or higher, the test has good test-retest

reliability

Ā„ Considerations

Ā„ Do not establish reliabilityduring the study

Ā„ Usually already established by someone else

Ā„ Develop own instrument

Ā„ When selecting an instrument

Ā„ Reliability measure above. Ā„ Length of time between tests similar to time in study Ā„ As time increase, reliability decreases Ā„ Samples used to find reliability factor similar to sample in study

Ā„ Coefficients of Equivalence

Ā„ Parallel Forms

Ā„ Test-retest has a carryover effect

Ā„ This method eliminates that

Ā„ Two similar yet different forms of an instrument

Ā„ Eliminate the time between tests issue

Ā„ Reliability measure the same as test-retest

Ā„ Correlation Coefficient

Ā„ Internal Consistency Reliability

Ā„ Consistency among items on an instrument

Ā„ The instrument is measuring a single concept/construct

Ā„ 3 methods

Ā„ Split-half

Ā„ KR

Ā„ Cronbach’s Alpha

Ā„ Percentage Agreement

Ā„ 2 or more judges

Ā„ Before the study

Ā„ Measure of similar observations

Ā„ Intra-class correlation

Ā„ When observation of the behavior is the DV

Ā„ Calculate the reliability between 2 or more judges

Ā„ Must be interval scaled data

Ā„ Kappa

Ā„ Intra-class correlation with nominal data

Measurement Reliability of Each Instrument

Measurement Validity of Each Instrument

Internal

Validity

Measurement Reliability and Statistics for the Study

Operations and Measurement Validity for the Study

External

Validity

Overall Research Validity of the Study

Measurement Validity

Ā„ ā€œHow well does the instrument assess the

characteristic, construct, or behavior the user

desires to measure?ā€

Ā„ Cromack (1989)

Ā„ An instrument may be consistent (reliable),

but not valid.

Ā„ There are measurements for reliability, but

not validity

Ā„ 4 ways to assess validity

Face Validity

Ā„ Not really considered to be a recognized

measure of validity

Ā„ Does the content appear to be

appropriate for the purpose of the

instrument?

Ā„ Example – The title and table of

contents of a book.

Content Validity

Ā„ Refers to the actual content of the

instrument.

Ā„ Is the concept in the instrument

representative of the content you are trying

to measure?

Ā„ Questions/tasks are about the content being

measured.

Ā„ Questions/tasks are representative of real

life.

Ā„ Concurrent Validity

Ā„ Similar to predictive

Ā„ Measure instrument against an external criterion

Ā„ Have current graduate students take GRE and

then correlate scores

Ā„ Not as good as predictive

Ā„ Assuming no difference between undergraduate

and graduate school students

Ā„ Major draw back –

Ā„ Finding a criterion and being able to

measure it

Ā„ Example – Are the GRE a good measure of

success in graduate school?

Ā„ Asking the question ā€œwhat makes a good

graduate student?ā€

Construct Validity

Ā„ The most complex

Ā„ Constructs

Ā„ Hypothetical concepts which can not be

observed directly

Ā„ Intelligence, achievement, anxiety

Ā„ We know they exist through other

observable behaviors

Ā„ Cannot observe anxiety, but can observe

anxious behavior i.e. – sweat, pacing

Ā„ Construct validity must be grounded in

the theory

Ā„ This can take time

Ā„ A process of several studies where the

researcher attempts to demonstrate

validity