Conducting necessary condition analysis: for business and management students (Record no. 812309)

MARC details
000 -LEADER
fixed length control field 02069 a2200193 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201019b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781526460141
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 650.072
Item number D8C6
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Dul, Jan.
9 (RLIN) 1603724
245 ## - TITLE STATEMENT
Title Conducting necessary condition analysis: for business and management students
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. SAGE
Date of publication, distribution, etc. 2019
Place of publication, distribution, etc. UK
300 ## - PHYSICAL DESCRIPTION
Extent 144 p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Mastering Business Research Methods
9 (RLIN) 342893
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents Chapter 1: Introduction Chapter 2: Philosophical Assumptions and Logic of NCA Chapter 3: Basic Components of NCA Chapter 4: Data Analysis with NCA Chapter 5: NCA Examples Chapter 6: Strengths and Weaknesses Glossary References Appendix 1: From Research Question to Hypotheses for NCA Appendix 2: Installing R, RStudio, NCA R and Importing Your Dataset Appendix 3: Writing Up Your NCA Study
520 ## - SUMMARY, ETC.
Summary, etc. Part of SAGE's Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support students by providing in-depth and practical guidance on using a chosen method of data collection or analysis. Necessary Condition Analysis (NCA) is an emerging method of data analysis, based on the idea that research factors can be necessary for an outcome: if the condition is not there, then the result will not occur. These necessary conditions are everywhere, and NCA is an intuitive and straightforward means of finding and testing data, either as a standalone tool or as a complement to other research methods. This book is an invaluable guide to using NCA effectively in business and management dissertations, and offers practical guidance and insight into how to successfully transcribe and analyse data using the NCA approach in research projects. Jan Dul is Professor of Technology and Human Factors at Rotterdam School of Management, Erasmus University, The Netherlands.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Research Methodology
9 (RLIN) 342894
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Research Methods for Business and Management
9 (RLIN) 342895
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
            Jammu Jammu   21/08/2020 Segment Books 2225.43     001.42 DUL IIMLJ-3181 22/12/2021     22/12/2021 Book
    Dewey Decimal Classification     Non-fiction Nagpur Nagpur On Display 13/10/2020 18 1470.30 1 6 650.072 D8C6 IIMN-002390 14/06/2021 02/11/2020 2162.21 13/10/2020 Book

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