To check my data analysis of the quantitative data collected
through the staff survey, I asked another iLead student to peer edit the data
collected and look over the final means, standard deviations, and frequencies
that I came up with. My peer also
performed validity checks on my quantitative data from AIMSweb student
reports. In addition to my peer’s review
of the AIMSweb data, I also performed a member check by asking the Special
Education department chair to review the data collected and the scores
resulting for each category.
To insure
the reliability of the data examined in this research study, I used member
checks to perform validity checks on the interviews. After typing the responses I read what I had
typed back to the member and also allowed the member to view the typed
response. I asked the member if she
would like to add anything and if I had accurately recorded her statement. Examining the validity of data is an
important aspect of research review. Validity
checks allow researchers to “evaluate whether the authors provide good evidence
that links their interpretation to their use” (Creswell, p. 162).
