Business Research MethodsBusiness Research Methods, 2e, provides students with the knowledge, understanding and necessary skills to conduct business research. The reader is taken step-by-step through a range of contemporary research methods, while numerous worked examples and real-life case studies enable students to relate with the context and thus grasp concepts effectively. Keeping in mind the developments in the subject area and necessary feedback from the users of this book, the latest edition has been extensively revised to include the necessary updates. The revision has been carried out in three ways: (i) by adding a few topics in existing chapters, (ii) by restructuring chapters pertaining to multivariate techniques, and (iii) by including a new chapter - Chapter 20: Confirmatory Factor Analysis, Structural Equation Modelling and Path Analysis. |
Contents
NonParametric Statistics | 14 |
Business Research Process Design | 19 |
Research Design Formulation | 41 |
Questionnaire Design | 69 |
Sampling and Sampling Distributions | 93 |
Sources and Collection of Data | 123 |
Survey and Observation | 139 |
Experimentation | 161 |
Numerical Problems 453 Case 14 | 455 |
Coefficient | 461 |
Regression Model and Testing the Overall Model | 494 |
Discussion Questions 451 | 510 |
Multiple Regression Analysis | 515 |
Discriminant Analysis and Conjoint | 597 |
Factor Analysis Cluster Analysis | 637 |
Scaling | 683 |
Fieldwork and Data Preparation | 185 |
Data Analysis and Presentation | 207 |
Statistic | 224 |
Hypothesis Testing for | 251 |
Analysis of Variance and Experimental Designs | 307 |
for the Difference in Means of More Than | 319 |
Hypothesis Testing for Categorical Data ChiSquare Test | 363 |
Result Presentation | 697 |
Appendices | 717 |
Glossary | 739 |
| 753 | |
| 757 | |
Other editions - View all
Common terms and phrases
advertisement alternative hypothesis ANOVA box will appear brand Centre for Monitoring Chapter click OK cluster analysis coefficient column computed conducting confidence level conjoint analysis consumer correlation customers data analysis data collection decision maker degrees of freedom determine dialog box discriminant analysis discussed distribution employees error experimental designs F statistic factor analysis fieldwork Friedman test Hence hypothesis testing income independent variable India interview technique level of significance measure million rupees Minitab Minitab output multidimensional scaling multiple regression Mumbai n₂ null and alternative null hypothesis observation obtained output for Example p-value plot population mean procedure profit after tax questionnaire questions random sample rank rating scale regression analysis regression model rejection region residuals respondent respondent's sample mean sample statistic scores shown in Figure SPSS standard deviation Step sum of squares test market test statistic tion treatment validity variance