Results of a Mixed-Methods Study on One CLD Group: MENASWA Families

Results of a Mixed-Methods Study on One CLD Group: MENASWA Families

Copyright: © 2020 |Pages: 64
DOI: 10.4018/978-1-7998-2069-7.ch007
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Abstract

The chapters in this book interpret results in light of the study's research questions, literature review, and conceptual framework. Each section of this chapter analyzes the five constructs related to this study; understanding the term “disability, the significance of home/school partnerships, the school's cultural competency, challenges facing MENASWA parents of CLD children, and the improvement of the American school system to address these students' learning needs. Included in the chapter under each of these constructs are numerous studies yielding data from parent responses, extensive discussion related to these data, methodologies applied to the analysis of research findings, and the role effective leadership plays in an effort to achieve the final objective of this work: meeting the learning needs of CLD children of MENASWA families in the American school setting.
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Introduction

Chapter Six of this book includes the full methodology of a study on Middle Eastern, North African, Southwest Asian (MENASWA) families of children with disabilities who have participated in the United States Special Education system. The chapter presents data and subsequent analyses resulting from the mixed methods study and summarizes the findings from responses to surveys and interviews. An analysis of the results and their meaning and implications are presented in each section by focusing on one research question/construct at the time. Readers are reminded that the book’s appendix contains the definition of some operational key terms used in this work that may be helpful in understanding the discussion. As comprehensively described in chapter six, the researcher utilized one of the most popular mixed method designs in educational research: sequential explanatory mixed methods design entailing two separate phases (Creswell, 2002) enabling the use of both numeric and in-depth data to determine possible answers to the research questions and statistical hypotheses.

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