Research Project

What are the key characteristics of qualitative research methods?

• Emphasis on statistical analysis

• Focus on proving cause and effect relationships

• Use of large sample sizes

• Focus on exploring human behavior, emotions, and experiences

Explain the difference between qualitative and quantitative research methods.

• Qualitative research methods focus on measuring and analyzing numerical data, while quantitative research methods focus on understanding and interpreting social phenomena.

• Qualitative research methods and quantitative research methods are the same.

• Qualitative research methods focus on understanding and interpreting social phenomena, while quantitative research methods focus on measuring and analyzing numerical data.

• Qualitative research methods only use surveys, while quantitative research methods only use interviews.

List and describe three data collection techniques commonly used in research.

• Three common data collection techniques used in research are surveys, interviews, and observations.

• Data mining, focus groups, and content analysis

• Questionnaires, secondary data analysis, and field trials

• Experimentation, case studies, and literature review

Outline the steps involved in the research design process.

• Writing a research proposal, conducting a survey, and presenting the findings

• Interviewing participants, creating a hypothesis, and analyzing the results

• Choosing a research topic, brainstorming ideas, and writing a report

• Defining the research problem, conducting a literature review, determining the research design, selecting the research method, collecting and analyzing data, and drawing conclusions and reporting the findings.

Discuss the different sampling methods used in research.

• Extreme sampling

• Randomized sampling

• Different sampling methods used in research include simple random sampling, stratified sampling, cluster sampling, systematic sampling, and convenience sampling.

• Arbitrary sampling

Explain the data analysis procedures for qualitative research.

• Qualitative data analysis focuses on numerical data only

• Qualitative data analysis involves organizing, categorizing, and interpreting non-numerical data.

• Qualitative data analysis includes statistical tests and calculations

• Qualitative data analysis involves conducting surveys and questionnaires

What is research philosophy and why is it important in the research process?

• Research philosophy has no impact on the quality of research findings

• Research philosophy is irrelevant in the research process

• Research philosophy only affects the researcher's personal beliefs

• Research philosophy is the set of beliefs, values, and assumptions that guide the research process. It is important because it influences the choice of research methods, data collection, and analysis, ultimately shaping the quality and validity of the research findings.

Describe the key features of quantitative research methods.

• Quantitative research methods involve the use of qualitative data

• Quantitative research methods focus on subjective and immeasurable outcomes

• Quantitative research methods involve the collection and analysis of numerical data, use of statistical techniques, and focus on objective and measurable outcomes.

• Quantitative research methods do not involve statistical techniques

Discuss the importance of choosing the right data analysis procedures in research.

• It ensures accurate and reliable results, helps in drawing valid conclusions, and contributes to the overall quality of the research.

• It has no impact on the research outcomes

• Choosing data analysis procedures is a waste of time

• Any data analysis procedure will yield the same results

Explain the role of research methods in the overall research process.

• Research methods only focus on gathering data, not analyzing or interpreting it

• Research methods are not important in the research process

• Research methods are only used in qualitative research, not quantitative research

• Research methods provide a systematic approach to gathering, analyzing, and interpreting data to ensure the validity and reliability of research findings.