Jeremy F Dawson

Analysing Quantitative Survey Data for Business and Management Students

• Broschiertes Buch

Produktbeschreibung

In Analysing Quantitative Survey Data for Business and Management Students Jeremy Dawson guides you through methodological assumptions, reliability and validity; approaches to analysis of questionnaire data; analysis techniques; examples of questionnaire data analysis; strengths and weaknesses of the techniques. The Mastering Business Research Methods series supports business and management students with their research-based dissertations by providing in-depth and practical guidance on using a chosen method of data collection or analysis. Expert authors, and series editors Bill Lee, Mark N K Saunders and Vadake K Narayanan, share their extensive experience on how to get the best from each method, through clear, understandable and applied examples. The books are written in a concise and accessible way, and contain a range of features, including checklists and a glossary, designed to support self-guided research. Ideal for Business and Management students studying for a Master's degree, each book provides all you need to know before employing a particular research method for your dissertation.

Produktdetails

• Verlag: Orient Blackswan Pvt Ltd
• Seitenzahl: 104
• Erscheinungstermin: 4. Februar 2017
• Englisch
• Abmessung: 241mm x 169mm x 10mm
• Gewicht: 209g
• ISBN-13: 9781473907515
• ISBN-10: 1473907519
• Artikelnr.: 41096017

Autorenporträt

Jeremy Dawson is professor of Health Management at the University of Sheffield, where he works jointly with the Institute of Work Psychology (part of the Management School) and the School of Health and Related Research (ScHARR). His research includes a range of topics in the areas of health services management, and research methodology. He has led several large-scale projects in the National Health Service (NHS), particularly focusing on team working, staff engagement and well-being, and their links with patient outcomes, and he led the team that ran the NHS national staff survey between 2003 and 2010. Among his other research interests include team and organizational climate, and work group diversity. He is a statistician by background and teaches a wide variety of subjects in the fields of statistics and research methods, as well as researching in these areas. He has published more than 40 papers in refereed academic journals, as well as numerous project reports and articles in practitioner publications. He is an editorial board member of six journals and an associate editor of the Journal of Occupational and Organizational Psychology. He gained his PhD from Aston University in 2011.

Inhaltsangabe

Chapter 1: An Introduction to Classical Test Theory and Quantitative Survey
Data
Chapter 2: Methodological Assumptions, Reliability and Validity
Chapter 3: Basic Components of Analysing Quantitative Survey Data
Chapter 4: Conducting Classical Test Theory Analyses
Chapter 5: Examples of Analysis Using Classical Test Theory
Chapter 6: Conclusions