A case study of student and teacher relationships and the effect on student learning
participant reviewed the data, as well as the interpretation of the
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A CASE STUDY OF STUDENT AND TEACHER RELATIONSHIPS AND THE EFFECT
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participant reviewed the data, as well as the interpretation of the researcher. 5) Data triangulation from the above sources provides corroborating evidence of the topic being studied and creates a chain of evidence to support the case study conclusions. According to Stake (2010) evidence is an attribute of information and contributes to understanding and conviction. As such, it should be valid and relevant and allow people to attain a deeper conviction of how something works. Procedure The following formal case study protocol was developed to enhance the reliability of this case study research. The participant completed an initial audio-taped interview, and then a follow-up interview was conducted for clarification purposes. The interviews were semi-structured, using prepared interview questions with clarifying or probing question interspersed by the interviewer. A general interview guide was used with semi-structured interview questions in an emergent design format developed to gain 52 information from the interviewee. Follow-up questions designed to clarify and refine analysis were developed based on the unique responses of the participant. The questions for the interview guide were designed to be interpretive and were drawn from a review of the literature. Following the interview, classroom observations were conducted using the Marzano Observational Protocol (1999) (see Appendix A) and the Teacher Expectations for Student Achievement (TESA) Protocol (see Appendix G) to gather further evidence to corroborate information obtained during the interview. These observations occurred during a variety of content areas and at various times of day. Follow-up interviews were conducted to address researcher questions that came up during the observations and needed further clarification. These interviews lasted approximately twenty to thirty minutes each. Data Analysis Patton (2002) advises “because each qualitative study is unique, the analytical approach will be unique. Because qualitative inquiry 53 depends, at every stage, on the skills, training, insights, and capabilities of the inquirer, qualitative analysis ultimately depends on the analytical intellect and style of the analyst” (p. 433). Data were analyzed following the steps outlined by Rubin & Rubin (2005) for Responsive Interviewing analysis techniques: 1) Recognition: finding the concepts, themes, events, and topical markers in interviews; 2) Clarify and Synthesize: through systematic examination of the different interviews to begin understanding of the overall narrative; 3) Elaboration: generating new concepts and ideas after clarification and synthesis; 4) Coding: systematically labeling concepts, themes, events, and topical markers, giving them a brief label to designate each and then marking in the interview text where they are found; 5) Sort: sorting the data units and ranking them and building relationships toward a theory (p. 207). Download 1.49 Mb. Do'stlaringiz bilan baham: |
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