Understanding Research Methodology

What are the main types of research designs?

• Survey, Focus Group, Ethnography, Literature Review

• Qualitative, Quantitative, Mixed Methods, Case Study

• Experimental, Observational, Correlational, Descriptive

• Field Study, Longitudinal, Cross-Sectional, Meta-Analysis

What is the difference between qualitative and quantitative data collection methods?

• Quantitative data is descriptive and non-numerical.

• Qualitative data is descriptive and non-numerical, while quantitative data is numerical and can be measured.

• Qualitative data can be easily counted and analyzed statistically.

• Qualitative data is always numerical and can be measured.

Name one advantage of using surveys as a data collection method.

• They are always free to conduct.

• They can reach a large audience quickly.

• They provide in-depth qualitative data.

• They require minimal planning and design.

What is purposive sampling?

• Purposive sampling is a random selection method for participants.

• Purposive sampling involves selecting participants based on their availability.

• Purposive sampling is a technique that requires equal representation from all demographics.

• Purposive sampling is a technique where participants are selected based on specific characteristics relevant to the research.

Describe the concept of random sampling.

• Random sampling involves choosing individuals based on their characteristics rather than randomly.

• Random sampling is a method where only a few individuals are selected from a population without any chance of equal selection.

• Random sampling is a technique that guarantees the selection of the best individuals from a population.

• Random sampling is a method of selecting individuals from a population where each individual has an equal chance of being chosen.

What is the purpose of a control group in experimental research?

• The purpose of a control group is to provide a baseline for comparison in experimental research.

• To eliminate all variables in the experiment.

• To increase the sample size of the experiment.

• To ensure the experiment is conducted in a controlled environment.

What statistical method would you use to analyze categorical data?

• T-test

• Chi-square test

• ANOVA

• Regression analysis

What is the difference between descriptive and inferential statistics?

• Descriptive statistics summarize data; inferential statistics make predictions about a population based on a sample.

• Descriptive statistics analyze data; inferential statistics visualize data.

• Descriptive statistics are used for large datasets; inferential statistics are for small datasets.

• Descriptive statistics predict future trends; inferential statistics summarize data.

How can you ensure the reliability of your data analysis?

• Ignore data sources completely

• Ensure data reliability through validation, proper methods, data cleaning, cross-validation, and documentation.

• Rely solely on personal intuition

• Use random data without verification

What is a case study in research methodology?

• A case study is a theoretical framework for research.

• A case study is a statistical analysis of data.

• A case study is an in-depth analysis of a specific subject or phenomenon.

• A case study is a brief overview of a topic.