Metodologi Penelitian untuk Pemula

Metodologi Penelitian: Panduan Lengkap untuk Riset Bisnis

This course provides a comprehensive understanding of research methodology, equipping you with the skills to conduct effective business research. We define business research as a systematic, data-driven, and objective investigation into specific problems, aimed at discovering solutions. Upon completion, you'll be prepared to design and execute your own research projects.

Here's a detailed look at the topics covered:

• Introduction to Research: A foundational overview of the research process.
• Identifying the Research Problem:
  • The Broad Problem Area and Defining the Problem Statement – Part 1
  • The Broad Problem Area and Defining the Problem Statement – Part 2
• Theoretical Framework & Hypothesis Development: Building a strong theoretical foundation for your research and formulating testable hypotheses.
• Research Design Elements: Understanding the key components of a robust research design.
• Variable Measurement: Learn how to accurately measure the variables relevant to your study.
• Data Collection & Sampling Methods: Mastering various techniques for gathering data and selecting appropriate samples.
• Quantitative Data Analysis: In-depth exploration of statistical methods for analyzing numerical data. Includes:
  • Quantitative Data Analysis (Data Collection Techniques): Exploring different methods for collecting quantitative data.
  • Quantitative Data Analysis (Research Procedures): Understanding the steps involved in analyzing quantitative data.
• Qualitative Data Analysis: Techniques for analyzing non-numerical data, including thematic analysis.

By the end of this course, you will be able to:

• Define and differentiate business research, distinguishing between applied and fundamental research.
• Identify and narrow down broad problem areas into focused research topics.
• Formulate clear research questions and objectives.
• Identify and label variables relevant to your research.
• Define relationships between variables and develop a robust theoretical framework.
• Develop both null and alternative hypotheses.
• Prepare data for quantitative analysis and perform descriptive and inferential statistical analysis.
• Operationalize variables for measurement.
• Understand qualitative data collection techniques and organize qualitative data within NVivo 12.
• Demonstrate proficiency in using NVivo 12 for qualitative data analysis.