Research and Biostatistics for Nurses

Research and Biostatistics for Nurses is a single comprehensive textbook written strictly as per the Indian Nursing Council (INC) syllabus, covering the concepts of nursing research and statistics exclusively rather than as an add-on to a broader subject. The book is organized into two clearly separated sections - Research and Biostatistics - so each discipline can be studied and referenced independently. The Research section walks through the entire research process step by step: an introduction to nursing research, problem statement formulation (research problem, aims and objectives, hypothesis, assumptions, delimitations, limitations), review of literature, conceptual frameworks and theory, research approaches and designs (experimental, historical, descriptive, qualitative, meta-analysis, epidemiological studies), and population/sample selection including power analysis. The companion Biostatistics section moves from descriptive to inferential statistical methods, with theoretical portions, formulas, and statistical items worked out step by step. Every concept throughout the book is correlated with examples drawn from the field of nursing itself, and each chapter carries specific learning objectives plus questions and exercises for self-practice. Who This Book Is For: DGNM Students: named explicitly on the back cover as core readership for INC-syllabus research and statistics. BSc Nursing Students: covered by the same single INC-aligned syllabus content. Post Basic BSc Nursing Students: explicitly named alongside BSc (N) as intended readership. MSc Nursing Students: explicitly named as the postgraduate tier this textbook also serves. Why This Book Helps: One book, two subjects, fully covered: research and biostatistics are taught together as a single comprehensive text rather than requiring two separate references. Every step of the research process explained with examples: from problem statement through sampling, each stage is broken down and illustrated. Statistics made approachable: descriptive and inferential methods are explained using nursing-specific examples, with formulas worked out step by step. Self-explanatory worked sums: statistical calculations are shown in full, step-by-step detail so students can follow the logic independently. Built-in practice: questions and exercises at the end of every chapter reinforce what has just been learned. Key Features: Organized into two clear sections: Research and Biostatistics. Covers the complete INC syllabus for DGNM, BSc (N), Post Basic BSc (N), and MSc (N). Step-by-step worked examples for every statistical method and formula. Specific learning objectives listed in every chapter. Chapter-end questions and exercises for self-assessment.

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