A content analysis involves dividing the data into meaningful segments according
to emerging themes and concepts (Miles & Huberman, 1994) while listening
for Material that related to a theme was sorted and grouped by category with the aid of a word processing program to manipulate the data into category files and to help in the retrieval of segments. All units were coded with a sentence number, date and pseudonym. The frequency of codes was then counted and comparisons were made across categories as per procedures described by H. J. Rubin and I. S. Rubin (1995). The transcripts were read repeatedly for evidence to confirm or refute the themes. Additional sets of data were likewise read, with the named categories in mind and expanded as required. Questionnaire items were analyzed first by using frequency distributions
and then qualitatively. Responses to the open-ended questions were qualitatively
analyzed and, where indicated, further probing was done to ensure understanding
of parental beliefs and a link to emergent themes. The compiled data were
described comprehensively in a case study narrative. Quotations were used
for In the next section I will highlight the specific means employed to ensure the trustworthiness of the study and give credence to the research. |
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