Quantitative Research for the Qualitative Researcher is a concise, supplemental text that provides qualitatively oriented students and researchers with the requisite skills for conducting quantitative research. Throughout the book, authors Laura M. O'Dwyer and James A. Bernauer provide ample support and guidance to prepare readers both cognitively and attitudinally to conduct high quality research in the quantitative tradition. Highlighting the complementary nature of quantitative and qualitative research, they effectively explain the fundamental structure and purposes of design, measurement, and statistics within the framework of a research report, (including a dissertation). The text encourages the reader to see quantitative methodology for what it is, a process for systematically discovering new knowledge that can help describe, explain, and predict the world around us.

Inferential Analyses for Data Generated by Quantitative Research

Inferential Analyses for Data Generated by Quantitative Research

Inferential analyses for data generated by quantitative research

Chapter Outline

  • Fundamentals of Inferential Statistics
  • Summary of the Steps for Interval Estimation and Hypothesis Testing
  • Commonly Used Inferential Tests

In this chapter, we introduce readers to the fundamental characteristics of inferential analyses and describe the most common types of inferential analyses conducted in social science research. As with the choice of research design, the choice of data analysis procedure will depend on the purpose of the research, the research questions that are posed, and the type of data collected. Furthermore, the choice of data analysis procedures should be guided by previous research in the field. For more complete coverage of the inferential analyses described in this chapter, we refer readers to classic statistics ...

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