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¶ … statistical test (SPSS Output) is effective as far as it goes in this particular case, but the results are not as clear as what they could be. A number of variables were used to generate results that on the surface were easily defined but a more analytical approach shows that the results could be much more comprehensive. The variables included three groups; low, medium and high scores depending on the respondent's answers to 10 questions. Additional variables included the gender of the respondent as well as the number of respondents in each category. Other variables could include the questions themselves and how the questions were written. Since there were only ten total questions, the validity and reliability of the questionnaire are two unspoken variables that should have been addressed.
SPSS serves a primary purpose of measuring the output from the respondents question, but since they questions were seeking qualitative responses, the SPSS may not have been the best methodology for assessment. One of the best things about SPSS is that the researcher can plug in the data and that SPSS will automatically provide a comprehensive analysis. Such a program does not necessarily mean that the analysis is measuring what the researcher wished...
Understanding reliability and validity becomes important then from the researcher's viewpoint. Attempting to determine whether the data measures what it sets out to measures can often be described as one of the primary functions of the research and in this particular case, it does not seem that the results are particularly valid. Regarding reliability of the data means that testing quantitative data in order to evaluate if it is reliable or not. Many experts believe that reliability in assessing qualitative data (such as the data in this study) is irrelevant, and according to Golafashani (2003) "the difference in purposes of evaluating the quality of studies in quantitative and qualitative research is one of the reasons that the concept of reliability is irrelevant in qualitative research" (p. 601). Stenbacka (2001) went even further, writing that the very concept of reliability in qualitative research is misleading at best, and that "if a qualitative study is discussed with reliability as a criterion, the consequence is rather that the study is no good" (p. 552). In this case the data is more qualitative in nature, and perhaps a different test would have been applicable.
In qualitative research design, the…
References
Golafshani, N.; (2003) Understanding reliability and validity in qualitative research, The
Qualitative Report, 8(4), p. 597-607
Stenbacka, C., (2001) Qualitative research requires quality concepts of its own,
Management Decision, 39(7), 551-555
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