Research Methods Knowledge Base IT and Computer 1st Edition by William Trochim
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Authors:William M.K. Trochim , Series:IT & Computer [303] , Tags:Economics; Computer , Author sort:Trochim, William M.K. , Languages:Languages:eng , Published:Published:Dec 2022 , Publisher:Atomic Dog , Comments:Comments:The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical introductory undergraduate or graduate course in social research methods. It covers the entire research process including: formulating research questions; sampling (probability and nonprobability); measurement (surveys, scaling, qualitative, unobtrusive); research design (experimental and quasi-experimental); data analysis; and, writing the research paper. It also addresses the major theoretical and philosophical underpinnings of research including: the idea of validity in research; reliability of measures; and ethics. The Knowledge Base was designed to be different from the many typical commercially-available research methods texts. It uses an informal, conversational style to engage both the newcomer and the more experienced student of research. It is a fully hyperlinked text that can be integrated easily into an existing course structure or used as a sourcebook for the experienced researcher who simply wants to browse.
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Author: William Trochim
a comprehensive guide to understanding research methods, particularly in the fields of social sciences and computer science. The book provides a clear and concise explanation of the various research methodologies, from planning and designing research studies to analyzing and interpreting data. It covers both qualitative and quantitative research methods, offering practical insights into experimental design, sampling, data collection, and statistical analysis. With its user-friendly approach, the book serves as an essential resource for students and professionals seeking to deepen their understanding of research practices and improve their ability to conduct methodologically sound research in IT and computer-related fields.
Research Methods Knowledge Base IT and Computer 1st Edition Table of contents:
Chapter 1: Introduction to Research
- Defining Research and Its Purpose
- Types of Research: Basic vs. Applied Research
- The Research Process Overview
- Ethical Considerations in Research
Chapter 2: Research Design
- The Role of Research Design
- Types of Research Designs: Exploratory, Descriptive, Experimental
- Developing a Research Hypothesis
- Operationalizing Variables
Chapter 3: Literature Review
- Importance of a Literature Review
- Sources of Literature: Academic Journals, Databases
- How to Conduct a Systematic Literature Review
- Synthesizing Findings from Literature
Chapter 4: Data Collection Methods
- Qualitative vs. Quantitative Data
- Surveys, Interviews, and Observations
- Sampling Methods and Techniques
- Validity and Reliability of Data Collection Methods
Chapter 5: Measurement and Scaling
- Types of Scales: Nominal, Ordinal, Interval, and Ratio
- Reliability and Validity of Measurement Tools
- Developing and Using Surveys and Questionnaires
- Scaling Techniques in Research
Chapter 6: Quantitative Research Methods
- Introduction to Quantitative Research
- Survey Design and Sampling Methods
- Descriptive and Inferential Statistics
- Statistical Software and Tools for Analysis
Chapter 7: Qualitative Research Methods
- Qualitative Research Overview
- Case Studies, Ethnography, and Grounded Theory
- Coding and Thematic Analysis
- Validity in Qualitative Research
Chapter 8: Data Analysis Techniques
- Descriptive Statistics: Measures of Central Tendency
- Inferential Statistics: Hypothesis Testing and P-Values
- Multivariate Analysis: Regression and Factor Analysis
- Analyzing Qualitative Data: Content and Narrative Analysis
Chapter 9: Research Ethics and Integrity
- Ethical Guidelines in Research
- Informed Consent and Confidentiality
- Addressing Bias and Conflicts of Interest
- The Role of Institutional Review Boards (IRBs)
Chapter 10: Writing and Presenting Research
- Structuring a Research Paper
- Writing the Introduction, Methodology, Results, and Discussion
- Referencing and Citing Sources
- Presenting Research Findings: Oral Presentations and Posters
Chapter 11: Research in IT and Computer Science
- Application of Research Methods in IT and Computer Science
- Case Studies in Software Development, Networking, and AI
- Analyzing Big Data and Machine Learning Research
- Emerging Trends in IT and Computer Science Research
Chapter 12: Advanced Research Topics
- Mixed-Methods Research
- Longitudinal and Experimental Designs in IT
- Using Data Mining and Artificial Intelligence in Research
- Big Data and Ethical Issues in IT Research
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