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Business research methods : an applied orientation

Author: S Sreejesh; Sanjay Mohapatra; M R Anusree
Publisher: Heidelberg ; New York : Springer, ©2014.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This book provides step by step guidelines for business research methods and data analysis using software programs and offers a mix of both qualitative and quantitative research that readers can apply directly in real market scenarios. Each chapter ends with a case study that demonstrates the business research concept discussed. Since research is best learned by doing, this book emphasizes a hands-on, do-it yourself  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: S Sreejesh; Sanjay Mohapatra; M R Anusree
ISBN: 9783319005386 3319005383 3319005391 9783319005393 9781299854871 1299854877
OCLC Number: 860716748
Description: 1 online resource (xxiii, 281 pages) : illustrations
Contents: Part I. Overview of business research --
1. Introduction to business research --
Scope of business research --
Basic research and applied research --
Role of business research in decision-making --
Factors affecting business research --
Globalization and business research --
Business research and the Internet --
2. Business research process --
Steps in the research process --
Part II. Research design --
3. Business research design: exploratory, descriptive and causal designs --
Introduction --
Exploratory research design --
Descriptive research design --
Self-administered interviews --
Mail surveys --
Errors in survey research --
Observation methods --
Causal research design --
Issues in experimentation --
Control of extraneous variables --
Experimental validity --
Type of experimental designs --
Questions --
Part III. Sources and methods of data collection: qualitative and quantitative data --
4. Scales and measurement --
Identifying and deciding on the variables --
Development of measurement scales --
Types of measurement scales --
Criteria for good measurement --
Sources of measurement problems --
Attitude measurement --
Components of attitude --
Relationship between attitudes and behaviour --
Changing attitudes --
Association between measurement and beliefs and situation --
Attitude scales --
Definition of attitude scale and scaling --
Types of attitude scales --
Considerations in selecting a scale --
5. Questionnaire design --
Preliminary decisions --
Question content --
Response format --
Question wording --
Questionnaire sequence --
Questionnaire pre-testing, revision and final draft --
Part IV. Multivariate data analysis using IBM SPSS 20.0 --
6. Data preparation and preliminary analysis --
Validating and editing --
Coding --
Data entry --
Data cleaning --
Tabulation of survey results --
Data mining --
7. Experimental analysis of variance (ANOVA) --
Launching fruit flavoured soft drinks at Fresh Cola (A) --
Launching fruit flavoured soft drinks at Fresh Cola (B) --
8. Multiple regression --
Introduction --
Important assumptions of multiple regression --
Multiple regression model with three independent variables --
Multiple regression equation --
Regression analysis using SPSS --
Output interpretation for regression analysis --
Examination of major assumptions of multiple regression analysis --
9. Exploratory factor and principal component analysis --
What is factor analysis? --
Factor analysis versus principal component analysis --
A hypothetical example of factor analysis --
SPSS procedures for performing factor analysis on PDI, price and value consciousness and sale proneness data in Windows --
KMO and Bartlett's test of sphericity (under correlation matrix) --
Principle component analysis --
Unrotated factor solution --
Scree plot --
Eigen values and Eigen values greater than one --
Rotated solution --
SPSS syntax method --
Output 1: IBM SPSS 20.0 output for factor analysis --
Results and interpretation --
Review Questions --
10. Cluster analysis --
Steps for conducting the cluster analysis --
SPSS output interpretation for hierarchical clustering --
SPSS procedure for hierarchical cluster analysis --
11. Binary logistic regression --
Logistic regression --
Logistic curve versus regression line --
Hypothetical example of logistic regression: defaulter prediction --
Logistic regression equation for defaulter prediction --
SPSS procedures for performing factor analysis on defaulter prediction --
IBM SPSS 20.0 syntax for binary logistic regression --
IBM SPSS 20.0 output for logistic regression --
Assessing a model's fit and predictive ability --
Part V. Data presentation --
12. Business research reports --
Types of research reports --
Components of research reports --
Written presentation --
Oral presentations --
Visual aids.
Responsibility: S. Sreejesh, Sanjay Mohapatra, M.R. Anusree.
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Business Research Methods  Read more...

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