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Essentials of research design and methodology
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This work focuses on the development of a strategy for controlling Artifact and Bias in research and on the design and methodology of such a strategy.Abstract:
Series Preface Acknowledgments One Introduction and Overview Two Planning and Designing a Research Study Three General Approaches for Controlling Artifact and Bias Four Data Collection, Assessment Methods, and Measurement Strategies Five General Types of Research Designs and Approaches Six Validity Seven Data Preparation, Analyses, and Interpretation Eight Ethical Considerations in Research Nine Disseminating Research Results and Distilling Principles of Research Design and Methodology References Indexread more
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Journal ArticleDOI
The Basis of Distinction Between Qualitative and Quantitative Research in Social Science: Reflection on Ontological, Epistemological and Methodological Perspectives
TL;DR: The authors examines methodological issues associated with qualitative and quantitative research and discusses how ontological and epistemological issues were translated in to specific methodological strategies and influence researchers' methodological decision, and the differences between the two research methodologies from Ontological, Epistemological and Methodological Perspectives and how they will be selected for research.
Journal Article
Qualitative and Quantitative Research Paradigms in Business Research: A Philosophical Reflection
Stephen Kwadwo Antwi,Kasim Hamza +1 more
TL;DR: In this paper, the authors discuss quantitative and qualitative research methodologies within the broad field of business research, and give an overview of the historical development of both methods, the paradigms and interpretative frameworks, discusses major advantages and limitations, and look at the new trend that combines both quantitative data in a single research project in an effort to reconcile both methods.
Journal Article
On the Detection and Prediction of Errors in EPC Business Process Models.
TL;DR: In this paper, the authors propose a soundness criterion for EPCs that offers a precise identification of those models which have errors, based on a set of business process model metrics that serve as predictors for error probability of an individual EPC.
Journal Article
Understanding the Occurrence of Errors in Process Models Based on Metrics
TL;DR: In this article, the connection between formal errors (such as deadlocks) and a set of metrics that capture various structural and behavioral aspects of a process model is discussed, and a comprehensive validation based on an extensive sample of EPC process models from practice is provided.
Book ChapterDOI
Understanding the occurrence of errors in process models based on metrics
TL;DR: This paper discusses the theoretical connection between errors and metrics, and provides a comprehensive validation based on an extensive sample of EPC process models from practice, and investigates the capability of the metrics to predict errors in a second independent sample of models.