| Target audience note |
<br/>Contents<br/><br/>[Understanding the Basics of Scientific Research in Management] This introductory chapter lays the foundation by exploring the importance and nature of scientific research, various types of research, and essential terminologies. It concludes with a summary, key terms, multiple-choice questions, descriptive questions, and a bibliography for further reading<br/>[Research Design and Process] Analysing the steps of the research process, this chapter covers different research designs, helping readers to formulate and plan their research projects effectively<br/>[Review of Literature] This chapter provides comprehensive guidance on conducting a literature review, including organising literature, identifying research gaps, understanding citation styles, and addressing plagiarism concerns<br/>[Foundations of Quantitative Research] This chapter introduces readers to fundamental statistical techniques such as univariate and bivariate analysis, t-tests, chi-square tests, correlation, and regression, with practical examples and exercises<br/>[Measurement of Constructs] This chapter focuses on the concepts, constructs, and variables essential for measurement in research, including various scaling techniques and levels of scale measurement<br/>[Understanding Reliability and Validity] This chapter discusses the critical aspects of ensuring the reliability and validity of research instruments, highlighting the importance of these concepts in producing credible research findings<br/>[Sampling for Quantitative Research] This chapter covers the principles and stages of sampling, different sampling techniques, and errors in sampling, providing a solid understanding of how to select and manage samples effectively<br/>[Questionnaire Designing] This chapter provides a step-by-step guide to designing effective questionnaires, discussing types, purposes, and best practices for creating reliable and valid data collection tools<br/>[Testing of Hypothesis] This chapter explains the concepts and methods of hypothesis testing, including statistical hypothesis, types of hypothesis tests, and practical application-oriented examples<br/>[Basic Quantitative Data Analysis] This chapter guides the readers through data processing, editing, and various statistical analyses using software tools like SPSS and Excel, ensuring they can handle data effectively<br/>[Advanced Quantitative Data Analysis] This chapter discusses more complex statistical techniques such as multiple correlation, multiple regression, and logistic regression, providing advanced tools for sophisticated data analysis<br/>[Foundations of Qualitative Research] This chapter introduces qualitative research paradigms, key characteristics, and processes, ensuring a robust understanding of qualitative methodologies<br/>[Sampling for Qualitative Research] This chapter discusses qualitative sampling techniques, with a focus on purposive sampling, theoretical sampling, and their practical applications<br/>[Qualitative Research Interviews] This chapter details the process of conducting in-depth qualitative interviews, including preparation, types of interviews, question typology, and ensuring reliability and validity<br/>[Qualitative Data Analysis | Grounded Theory] This chapter explains grounded theory methodology, including coding processes, memos, and the overall procedure, with an emphasis on practical application<br/>[Qualitative Data Analysis | Case Studies] This chapter focuses on case study research design, data collection, and analysis, ensuring readers can effectively use case studies in their research<br/>[Report Writing and Presentation] This chapter provides guidelines for preparing and presenting research reports, covering structure, qualities of an excellent report, and effective oral presentation techniques |
