Download or read book Mastering Research Statistics written by Yan Piaw Chua and published by . This book was released on 2013 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mastering Research Methods written by Yan Piaw Chua and published by . This book was released on 2016 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mastering Metrics written by Joshua D. Angrist and published by Princeton University Press. This book was released on 2014-12-21 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible and fun guide to the essential tools of econometric research Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful. The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse. Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect. Shows why econometrics is important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples

Download or read book MASTERING RESEARCH METHODOLOGY A PRACTICAL GUIDE written by Dr. K. GANGADHARA CHARY and published by Academic Guru Publishing House. This book was released on 2024-05-17 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mastering Research Methodology: A Practical Guide" assists professionals, scholars, and students in attaining a comprehensive understanding of the art and science of research. This all-encompassing manual provides explicitand exhaustive guidance on a wide range of research methodologies, encompassing qualitative and quantitative approaches. The book commences by providing readers with an introduction to fundamental concepts, including the significance of ethical considerations, hypothesis formulation, and research design principles. The subsequent section explores distinct research methodologies, such as mixed-methods, experimental, survey, case study, and ethnographic approaches. Every chapter of the book offers precise instructions on how to execute these methods, beginning with data collection and concluding with analysis, thereby guaranteeing that readers are capable of effectively applying these techniques to their own projects. The practical orientation of "Mastering Research Methodology" is one of its defining characteristics. Practical advice, real-world illustrations, and case studies serve to reconcile the divide between theoretical concepts and their real-world implementation. This practical methodology enables readers to comprehend the intricacies of scientific inquiry, arrive at well-informed methodological decisions, and confront prevalent obstacles. The book places significant emphasis on the essential significance of data integrity and research ethics, in addition to methodological instruction. This resource offers approaches to guaranteeing the integrity of data, preserving openness, and adhering to ethical principles during the entirety of the research endeavour.

Download or read book Mastering Statistics written by Tim Hannagan and published by Red Globe Press. This book was released on 1997-08-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of this highly successful book covers all the essential information needed to master statistics. Included are up-to- date sections on probability, vital statistics, market research, experiments and scaling.

Download or read book Basic Statistics for Social Research written by Robert A. Hanneman and published by John Wiley & Sons. This book was released on 2012-12-04 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.

Download or read book Mastering Statistics written by Tim Hannagan and published by . This book was released on 1997 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mastering Statistics written by Elizabeth Page-Gould and published by Sage Publications Limited. This book was released on 2022-11-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides readers with the statistical tools to test almost any hypothesis and research question. By teaching complex analyses in simple, straight-forward language, and with an emphasis on statistical flexibility, this book enables readers to: Choose and apply the best statistical approach for their research design Get a buffet-style introduction to the major advanced statistical techniques Work with a clear set of best practices for statistical analysis in the social sciences Understand the relationship between statistics and statistical inference Get to grips with the advent of big datasets Avoid common errors and pitfalls in the research design phase Communicate the results of analysis effectively and with impact Learn statistics as a journey in testing a hypothesis and exploring empirical data.

Download or read book Mastering Statistics written by Kelvin Jordan and published by Nelson Thornes. This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to overcome the fear of statistics felt by many healthcare professionals and researchers by bridging the gap between theoretical knowledge and the practical application of statistics in real life health service research.

Download or read book Research Methods and Statistics written by Bernard C. Beins and published by Cambridge University Press. This book was released on 2017-11-02 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Methods and Statistics provides a seamless introduction to the subject, identifying various research areas and analyzing how one can approach them statistically. The text provides a solid empirical foundation for undergraduate psychology majors, and prepares the reader to think critically, and evaluate psychological research and claims they might hear in the news or popular press. The text can be used in all statistics, methods and experimental psychology courses.

Download or read book RESEARCH METHODOLOGY written by Narayan Changder and published by CHANGDER OUTLINE. This book was released on 2022-12-21 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a scholarly journey into the art and science of research with our specialized guide, "Research Methodology." This comprehensive book serves as a beacon for researchers, guiding them through the intricacies of planning, conducting, and analyzing research effectively. Enriched with practical applications, methodological insights, and extensive Multiple-Choice Question (MCQ) practice, this guide is designed to empower researchers across disciplines in mastering the craft of rigorous and impactful research. Key Features: Holistic Research Approach: Explore a comprehensive range of research methodologies, from quantitative and qualitative methods to mixed methods. "Research Methodology" provides a well-rounded understanding, ensuring researchers are equipped to choose the most suitable approach for their study. Practical Applications: Translate theoretical knowledge into practical research applications. The guide offers real-world examples, case studies, and step-by-step guidance, facilitating the application of research methodologies in diverse academic and professional contexts. Ethical Considerations: Navigate the ethical complexities of research with confidence. "Research Methodology" addresses ethical considerations, promoting responsible and morally sound research practices. MCQ Practice Questions: Reinforce your understanding with a diverse array of Multiple-Choice Question practice. Each question is strategically designed to challenge your knowledge, critical thinking skills, and prepare you thoroughly for research-related examinations and assessments. Keyword Integration: Seamlessly incorporate key terms and concepts throughout your learning journey. "Research Methodology" strategically places important keywords such as Quantitative Research, Qualitative Research, Mixed Methods, Ethical Considerations, MCQ Practice Questions, and more, aligning your understanding with the language used in research academia. Visual Learning Support: Enhance your comprehension with visually stimulating illustrations, diagrams, and charts. Visual learners will find these aids invaluable in conceptualizing complex research methodologies. Who Will Benefit: Researchers Across Disciplines Graduate Students and Academics Professionals Engaged in Research Research Enthusiasts Prepare for excellence in your research endeavors with confidence. "Research Methodology" is not just a guide; it's your key to mastering the art and science of research, backed by extensive MCQ practice. Order now and embark on a journey of scholarly discovery and academic achievement. Elevate your research acumen. Master the methodologies that drive impactful research with the ultimate guide. 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1 What?s Research? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Meaning of research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 Aim of research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.4 Importance of Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.5 Research concept . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.6 Nature of Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 1.7 Nature and Inquiry of Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.8 Steps of Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 1.9 Approaches in research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 1.10 Types of Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 1.11 Research design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 1.12 Characteristics of research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 1.13 Scientific Inquiry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 1.14 Philosophy of research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 1.15 Interdisciplinary research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 1.16 Research and scientific methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 2 Methods of Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 2.1 Basic/Fundamental Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 2.2 Applied research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 2.3 Action research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 2.4 Classification research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 2.5 Comparative research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 2.6 Survey research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 2.7 Qualitative research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 2.8 Characteristics and Importance of Qualitative Research . . . . . . . . . . 127 2.9 Quantitative research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130 2.10 Nature of Quantitative Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136 2.11 Historical research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 2.12 Descriptive research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 2.13 Experimental research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 2.14 case study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144 2.15 Ethnography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146 2.16 Documentary and content analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 2.17 Narrative Research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154 2.18 Practical research . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156 3 Identification of Research Problem . . . . . . . . . . . . . . . . . . . . . . 195 3.1 Selecting the Research problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 3.2 Necessity of defining the problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 3.3 Choosing a Topic & Defining a Research Question . . . . . . . . . . . . . . 198 3.4 Goals and Criteria for identifying problems for research. . . . . . . . . . 200 3.5 Research problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 4 Research Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 4.1 Need for Research design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207 4.2 Features of a good design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 4.3 Different research designs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 5 Development of research proposal . . . . . . . . . . . . . . . . . . . . . . . 217 5.1 Parts of a Research Proposal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217 5.2 Hypotheses & Research Questions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220 5.3 Development of objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227 5.4 Characteristics of objectives. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228 5.5 Development of hypotheses and applications . . . . . . . . . . . . . . . . . . . 228 6 Methods of data collection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 6.1 Concept of sampling and other concepts related to sampling . . . . . 231 6.2 Probability and non-probability samples . . . . . . . . . . . . . . . . . . . . . . . . 249 6.3 Tools of data collections, their types, attributes and uses . . . . . . . . 251 6.4 Redesigning research tools- questionnaire . . . . . . . . . . . . . . . . . . . . . . 257 6.5 Redesigning research tools- observation . . . . . . . . . . . . . . . . . . . . . . . 259 6.6 Redesigning research tools-interviews . . . . . . . . . . . . . . . . . . . . . . . . . 260 7 Methods of data analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265 7.1 Analysis of qualitative data based on various tools . . . . . . . . . . . . . . 265 7.2 Analysis of quantitative data and it presentation with tables, graphs etc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268 7.3 Statistical tools and techniques of data analysis . . . . . . . . . . . . . . . . . 270 7.4 measures of central tendency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272 7.5 Measures of dispersion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 7.6 Decision making with hypothesis testing . . . . . . . . . . . . . . . . . . . . . . . 298 7.7 parametric and non-parametric tests. . . . . . . . . . . . . . . . . . . . . . . . . . . 305 7.8 Validity and delimitations of research findings . . . . . . . . . . . . . . . . . . . 312 8 Statistical Techniques and Tools . . . . . . . . . . . . . . . . . . . . . . . . . 319 8.1 Introduction of statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 8.2 SPSS and statistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 8.3 Measure of Arithmetic mean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 328 8.4 Measure of Standard deviation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330 8.5 Measures of Center and Spread . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332 8.6 Measures of Variability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338 8.7 Coe?icient of variation (Discrete serious and continuous serious) . 347 8.8 Correlation Coe?icient & Coe?icient of Determination . . . . . . . . . . 347 8.9 Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352 8.10 Multiple Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361 8.11 Sampling distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366 8.12 Standard error . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381 8.13 Confidence Intervals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382 8.14 Concept of point and interval estimation . . . . . . . . . . . . . . . . . . . . . . . 397 8.15 Tests of Significance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399 8.16 Degree of freedom . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409 8.17 t-Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409 8.18 z-distrbution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412 8.19 Chi Square . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 8.20 Analysis of variance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417 8.21 One way ANOVA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423 9 Interpretation and Report Writing . . . . . . . . . . . . . . . . . . . . . . . 425 9.1 Significance of report writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425 9.2 Scientific Report Writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429 9.3 Different steps in writing a report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434 9.4 Layout of a Research report . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 438 9.5 Literature review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 9.6 writing a research paper . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445 10 Reporting and thesis writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449 10.1 Determining Experimental and Sample Designs. . . . . . . . . . . . . . . . . 449 10.2 Primary and Secondary Sources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453 10.3 Null hypothesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 462 10.4 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465 10.5 Research papers for journals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479 10.6 Research, Plagiarism, and Thesaurus . . . . . . . . . . . . . . . . . . . . . . . . . . . 479 10.7 Seminars and Conferences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 484 10.8 Impact factor of a journal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485 10.9 Formatting of reference . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485 10.10 APA Style of Referencing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485 10.11 Thesis writing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495 10.12 Citation Styles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 498 10.13 Chicago Style . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503 10.14 Mendeley . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 507 11 Research Ethics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511 11.1 Ethical Issues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511 11.2 Commercialization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 512 11.3 copy right . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518 11.4 Intellectual Property rights and patent law . . . . . . . . . . . . . . . . . . . . . 522 11.5 Citation and Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534 This book is primarily designed for students preparing for various competitive examinations. It will also be helpful for those preparing for midterm exams in schools or universities. The aim of this book is twofold: first, to help the students preparing for competitive examinations, seeking admission to universities or schools, or prepare for job interviews. Second, it will also be helpful for those studying RESEARCH METHODOLOGY. This book contains more than 4183 questions from the core areas of RESEARCH METHODOLOGY. The questions are grouped chapter-wise. There are total 11 chapters, 107 sections and 4183+ MCQ with answers. This reference book provides a single source for multiple choice questions and answers in RESEARCH METHODOLOGY. It is intended for students as well as for developers and researchers in the field. This book is highly useful for faculties and students. One can use this book as a study guide, knowledge test questions bank, practice test kit, quiz book, trivia questions . . . etc. The strategy used in this book is the same as that which mothers and grandmothers have been using for ages to induce kids in the family to sip more soup (or some other nutritious drink). The children are told that some cherries (their favourite noodles or cherries ) are hidden somewhere in the bowl, and that serves as an incentive for drinking the soup. In joint families, by the time the children are old enough to know the trick played by their grandma, there is usually another group of kids ready to fall for it! They excite the kids, but the real nutrition lies not in the noodles but in the soup. The problems given in this book are like those noodles/cherries while solving all these problems are nutritious soup. Now it is your choice to drink the nutritious soups or not!!!.

Download or read book Mastering Research Methods written by Yan Piaw Chua and published by . This book was released on 2012 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mastering the Semi Structured Interview and Beyond written by Anne Galletta and published by NYU Press. This book was released on 2013-06-17 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering the Semi-Structured Interview and Beyond offers an in-depth and captivating step-by-step guide to the use of semi-structured interviews in qualitative research. By tracing the life of an actual research project–an exploration of a school district's effort over 40 years to address racial equality–as a consistent example threaded across the volume, Anne Galletta shows in concrete terms how readers can approach the planning and execution of their own new research endeavor, and illuminates unexpected real-life challenges they may confront and how to address them. The volume offers a close look at the inductive nature of qualitative research, the use of researcher reflexivity, and the systematic and iterative steps involved in data collection, analysis, and interpretation. It offers guidance on how to develop an interview protocol, including the arrangement of questions and ways to evoke analytically rich data. Particularly useful for those who may be familiar with qualitative research but have not yet conducted a qualitative study, Mastering the Semi-Structured Interview and Beyond will serve both undergraduate and graduate students as well as more advanced scholars seeking to incorporate this key methodological approach into their repertoire.

Download or read book Mastering Data Analysis with R written by Gergely Daroczi and published by Packt Publishing Ltd. This book was released on 2015-09-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

Download or read book Doing Research in Political Science written by Paul Pennings and published by SAGE. This book was released on 2005-11-11 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an immensely helpful book for students starting their own research... an excellent introduction to the comparative method giving an authoritative overview over the research process - Klaus Armingeon, University of Bern Doing Research in Political Science is the book for mastering the comparative method in all the social sciences - Jan-Erik Lane, University of Geneva This book has established itself as a concise and well-readable text on comparative methods and statistics in political science I...strongly recommend it. - Dirk Berg-Schlosser, Philipps-University Marburg This thoroughly revised edition of the popular textbook offers an accessible but comprehensive introduction to comparative research methods and statistics for students of political science. Clearly organized around three parts, the text introduces the main theories and methodologies used in the discipline. Part 1 frames the comparative approach within the methodological framework of the political and social sciences. Part 2 introduces basic descriptive and inferential statistical methods as well as more advanced multivariate methods used in quantitative political analysis. Part 3 applies the methods and techniques of Parts 1 & 2 to research questions drawn from contemporary themes and issues in political science. Incorporating practice exercises, ideas for further reading and summary questions throughout, Doing Research in Political Science provides an invaluable step-by-step guide for students and researchers in political science, comparative politics and empirical political analysis.

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Download or read book SAS Essentials written by Alan C. Elliott and published by John Wiley & Sons. This book was released on 2015-08-10 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples. Keeping different experience levels in mind, the highly-qualified author team has developed the book over 20 years of teaching introductory SAS courses. Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures. Featuring self-contained chapters to enhance the learning process, the Second Edition also includes: Programming approaches for the most up-to-date version of the SAS platform including information on how to use the SAS University Edition Discussions to illustrate the concepts and highlight key fundamental computational skills that are utilized by business, government, and organizations alike New chapters on reporting results in tables and factor analysis Additional information on the DATA step for data management with an emphasis on importing data from other sources, combining data sets, and data cleaning Updated ANOVA and regression examples as well as other data analysis techniques A companion website with the discussed data sets, additional code, and related PowerPoint® slides SAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses. The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.