Assembling The Project Compendium - Computing Technical ...
Assembling The Project Compendium - Computing Technical ...
Assembling The Project Compendium - Computing Technical ...
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CHAPTER 4 DATA COLLECTION<br />
4.1 INTRODUCTION<br />
Data collection involved identifying who, from where and how survey participants could be<br />
sought. Once the data was collected, it was filtered, manipulated and analysed. Finally the<br />
data was checked for answer consistency.<br />
4.2 PROCESS AND DATA SOURCES<br />
<strong>The</strong> data sources were selected by compiling a list of all personal acquaintances with<br />
experience managing software/IT projects. <strong>The</strong>y were personally requested to participate in<br />
the survey and additionally to forward the survey link to their personal contacts. <strong>The</strong> other<br />
data source was a web link posted to the Open University course chat sites including M865<br />
<strong>Project</strong> Management and M80. <strong>The</strong> links were left open for three weeks and then closed.<br />
<strong>The</strong>re was a sixty percent response rate to the personal email invitations which contributed<br />
to thirty percent of the overall responses. Approximately sixty percent of the responses<br />
were a result of „friends of friends‟ completing the survey. Approximately ten percent of<br />
responses were from links posted on websites.<br />
4.3 PRELIMINARY ANALYSIS<br />
All completed surveys were reviewed. Five responses were deleted as no core answers had<br />
been completed. Data from the remaining seventy-nine responses was extracted.<br />
Numerical data was re-entered into spreadsheets for quantitative analysis and worded<br />
answers were copied and pasted into a word document for qualitative analysis. (Refer to<br />
appendix C for extracts of the raw data.)<br />
Qualitative analysis involved summarising over ten thousand words extracted from the open<br />
ended questions. For each answer set, key themes were identified and all answers were<br />
coded under these themes and clustered into lower level ideas.<br />
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