Podcast
Questions and Answers
A literature review is a brief summary of existing research on a specific topic.
A literature review is a brief summary of existing research on a specific topic.
False
What is the purpose of a sampling strategy in research methodology?
What is the purpose of a sampling strategy in research methodology?
To select participants or data points for the study
The process of examining and interpreting data to draw conclusions is known as ______________________.
The process of examining and interpreting data to draw conclusions is known as ______________________.
Data Analysis
What is the primary focus of quantitative research methodology?
What is the primary focus of quantitative research methodology?
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Match the following data analysis techniques with their descriptions:
Match the following data analysis techniques with their descriptions:
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A mixed-methods approach combines qualitative and quantitative research methodologies.
A mixed-methods approach combines qualitative and quantitative research methodologies.
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What is the primary purpose of a hypothesis testing procedure?
What is the primary purpose of a hypothesis testing procedure?
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The process of searching for and selecting relevant sources and databases for a literature review is known as ______________________.
The process of searching for and selecting relevant sources and databases for a literature review is known as ______________________.
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What is the purpose of a critical appraisal in a literature review?
What is the purpose of a critical appraisal in a literature review?
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What is the primary focus of academic integrity in research?
What is the primary focus of academic integrity in research?
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Study Notes
Methodology
- Definition: A systematic and structured approach to conducting research
- Components:
- Research design: plan for collecting and analyzing data
- Sampling strategy: selecting participants or data points
- Data collection methods: surveys, interviews, experiments, etc.
- Data analysis: procedures for examining and interpreting data
- Types of research methodologies:
- Quantitative: focuses on numerical data and statistical analysis
- Qualitative: focuses on non-numerical data and thematic analysis
- Mixed-methods: combines quantitative and qualitative approaches
Data Analysis
- Definition: The process of examining and interpreting data to draw conclusions
- Types of data analysis:
- Descriptive statistics: summarizing and describing data
- Inferential statistics: making inferences about a population based on a sample
- Data analysis techniques:
- Data visualization: using graphs and charts to represent data
- Correlation analysis: examining relationships between variables
- Regression analysis: modeling the relationship between variables
- Hypothesis testing: testing hypotheses using statistical methods
Literature Review
- Definition: A critical analysis of existing research on a specific topic
- Purpose:
- To identify gaps in current research
- To understand the theoretical foundations of a topic
- To inform research design and methodology
- Components:
- Search strategy: identifying relevant sources and databases
- Inclusion and exclusion criteria: selecting studies for review
- Critical appraisal: evaluating the quality and relevance of studies
- Synthesis: summarizing and integrating findings
Hypothesis Testing
- Definition: A procedure for testing a hypothesis using statistical methods
- Steps:
- Formulate a null and alternative hypothesis
- Select a significance level (α) and test statistic
- Collect and analyze data
- Calculate the p-value and compare to α
- Reject or fail to reject the null hypothesis
- Types of hypothesis testing:
- One-tailed test: testing a directional hypothesis
- Two-tailed test: testing a non-directional hypothesis
Academic Integrity
- Definition: The commitment to upholding ethical standards in research and scholarship
- Principles:
- Honesty: accurately representing data and results
- Transparency: clearly documenting methods and data
- Accountability: taking responsibility for one's own work
- Fairness: giving credit to others for their contributions
- Academic integrity violations:
- Plagiarism: passing off others' work as one's own
- Falsification: manipulating or fabricating data
- Fabrication: making up data or results
- Misrepresentation: misrepresenting one's credentials or expertise
Methodology
- Systematic and structured approach to conducting research
- Consists of research design, sampling strategy, data collection methods, and data analysis
- Research design is a plan for collecting and analyzing data
- Sampling strategy is used to select participants or data points
- Data collection methods include surveys, interviews, experiments, etc.
Data Analysis
- Process of examining and interpreting data to draw conclusions
- Involves descriptive statistics, which summarizes and describes data
- Inferential statistics makes inferences about a population based on a sample
- Techniques include data visualization, correlation analysis, regression analysis, and hypothesis testing
Literature Review
- Critical analysis of existing research on a specific topic
- Identifies gaps in current research, understands theoretical foundations, and informs research design and methodology
- Search strategy identifies relevant sources and databases
- Inclusion and exclusion criteria select studies for review
- Critical appraisal evaluates the quality and relevance of studies
- Synthesis summarizes and integrates findings
Hypothesis Testing
- Procedure for testing a hypothesis using statistical methods
- Formulates a null and alternative hypothesis
- Selects a significance level (α) and test statistic
- Collects and analyzes data, calculates the p-value, and compares it to α
- Rejects or fails to reject the null hypothesis
- One-tailed test tests a directional hypothesis, while two-tailed test tests a non-directional hypothesis
Academic Integrity
- Commitment to upholding ethical standards in research and scholarship
- Principles include honesty, transparency, accountability, and fairness
- Violations include plagiarism, falsification, fabrication, and misrepresentation
- Plagiarism passes off others' work as one's own, while falsification manipulates or fabricates data
- Fabrication makes up data or results, and misrepresentation misrepresents one's credentials or expertise
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Description
Learn about the systematic approach to research, including research design, sampling strategies, data collection methods, and data analysis. Understand the difference between quantitative and qualitative research methodologies.
