Lecture Conducting and reading research in health and human performance (4/e): Chapter 15 - Ted A. Baumgartner, Larry D. Hensley

Chapter 15 - Measurement in research. The main contents of the chapter consist of the following: Essential characteristics of data, establishing data characteristics, determining objectivity, determining reliability, types of relative reliability,...

Chapter 15 Measurement in Research

in order for them to be considered acceptable  evidence upon which to base conclusions

– Objectivity

– Reliability

– Validity

the values of collected measures or scores

dependent on who collected it

ability and not change over a short period of time

for validity

scores or measures derived from a measuring  instrument lead to correct interpretations

conclusions are based on correct information

– Uniqueness of setting and participation characteristics – Sample size does not need to be large

correlation coefficient

independently score a group of people on the 

test

as an estimate of the objectivity coefficient

– ANOVA technique

– Select appropriate computational formula for R

at least two repeated scores, such as. . 

– Scores on multiple trials of a test within a day

– Scores from multiple administrations on different days – Scores from multiple items on a test

– Scores on two different forms of a test

– Consistency of scores within a day

– Consistency of scores across days

– ANOVA technique

– Select appropriate computational formula for R

– Technique of determining reliability of dichotomously  scored tests

– Logical evidence

– Criterion evidence

– Construct evidence

– Other evidence

an attribute and yields scores that can be validly  interpreted

– Combine with other forms of evidence

– Jury of experts

scores on a test and scores on a criterion  measure or standard

challenging

it may not be precisely defined or measured

actually construct validity evidence

– Evidence that scores are interpreted correctly

Other Measurement Issues