Advantages Of Mixed Methods

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Mixed methods is defined by Johnson and Onwuegbuzie [1] as the class of research in which quantitative and qualitative research techniques, methods, approaches, concepts or language are combined into a single study. A growing body of literature debates the philosophy behind using mixed methods and reports the findings of studies conducted using mixed methods designs [2].Despite some paradigm wars between qualitative and quantitative research (discussed by Nudzor[3] and Andrew [2]), mixed methods research (MMR) is commonly known as valuable method of addressing the deficits behind the qualitative and quantitative paradigms through combining the respective strengths within one single method [4, 5], that has led to popularity and a growing body of literature in the MMR [6].
The literature on MMR has classified several types of configurations among which two major designs are identifiable. Where the purpose of the design is to merge the qualitative and quantitative data in a parallel way, and where one type of data (qualitative or quantitative) sequentially build on
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Specifying the error terms in suggested mixed model helps the mixed methods researchers to think about the unexplained parts of the theory components under study. It may shed some insight into alternative explanations of the effects (and may a need to get more data). Moreover it may alert the researchers about the nature of error (e.g. error term associated with observed cause (x i) indicators, error term associated with observed effect (yi) indicators and error term associated with a formative construct, etc.) and even meaning of the construct [27]. Consequently it may modify the researchers’ perspective in reporting the study results in that it leads them to be more cautious in the interpretation and generalization of the
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