Learner's Guide To Postgraduate Level Research And Data Analyses

by Zeleke Worku
Learner's Guide To Postgraduate Level Research And Data Analyses
  • ISBN-13: 9781569026212
  • Author(s): Zeleke Worku
  • Subject: Encyclopaedias & reference works
  • Publisher: Africa World Press
  • Imprint: Africa World Press
  • Publication Date: 28-03-2019
  • Format: p/b

Availability: In stock

£26.99
The book presents practical examples and lessons to learners on commonly used quantitative and qualitative methods of data collection and analyses for postgraduate level research. All relevant steps have been simplified and supplemented with numerical examples. Results of data analyses have been interpreted clearly. The book covers topics such as conducting literature review and scientific writing, study designs, how to write-up postgraduate level research proposals and dissertations, how to calculate sample sizes and power for quantitative studies, how to summarise raw and grouped data sets using quantitative and graphical methods, one and two-sample tests on means and proportions, the Pearson chi-square test of association (cross-tab analyses), simple and multiple linear regression and correlation analysis, binary and multinomial logistic regression analysis, and qualitative methods of data collection and analyses. The book demonstrates how quality research matters and is very ideal
About the book

The book presents practical examples and lessons to learners on commonly used quantitative and qualitative methods of data collection and analyses for postgraduate level research. All relevant steps have been simplified and supplemented with numerical examples. Results of data analyses have been interpreted clearly. The book covers topics such as conducting literature review and scientific writing, study designs, how to write-up postgraduate level research proposals and dissertations, how to calculate sample sizes and power for quantitative studies, how to summarise raw and grouped data sets using quantitative and graphical methods, one and two-sample tests on means and proportions, the Pearson chi-square test of association (cross-tab analyses), simple and multiple linear regression and correlation analysis, binary and multinomial logistic regression analysis, and qualitative methods of data collection and analyses. The book demonstrates how quality research matters and is very ideal