Ratio Data
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TEXT BOOK OF RESEARCH METHODOLOGY
Author: Prof. (Dr.) Mukesh Chandra Sharma , Dr. Prashant Vishnu Ajmire, Dr. Manoj Kumar Katual, Vandana Bhatia, Dr Swati Rana
language: en
Publisher: Shashwat Publication
Release Date: 2025-01-10
Textbook of Research Methodology is an essential guide for students and researchers, providing a comprehensive understanding of research fundamentals. The book is systematically organized into nine chapters, covering the foundational aspects of research, including its meaning, objectives, and motivation, along with concepts like theory, empiricism, and the scientific method. Readers are introduced to the intricacies of problem identification and hypothesis formulation, with detailed explanations of null and alternative hypotheses, and the importance of hypothesis testing. The chapter on research design explores various types, such as exploratory, descriptive, and experimental designs, emphasizing their features and applications. Qualitative and quantitative research methodologies are thoroughly explained, highlighting key concepts like causality, generalization, and replication. The book also delves into measurement techniques, addressing challenges in validity, reliability, and different levels of measurement, such as nominal, ordinal, interval, and ratio scales. Sampling techniques are extensively discussed, including probability sampling methods like simple random sampling, stratified sampling, and multi-stage sampling, with practical insights on determining sample size and addressing sampling errors. Data analysis is covered with a focus on univariate and bivariate methods, such as cross-tabulations and chi-square tests, aiding readers in hypothesis testing and statistical interpretation. The final chapters guide researchers on paper writing, ethical publishing practices, and the use of modern tools like reference management software, LaTeX, and plagiarism detection tools. This textbook serves as a valuable resource for understanding the research process, making it an indispensable companion for academic and professional pursuits.
Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis
Author: Farhad Hosseinzadeh Lotfi
language: en
Publisher: Springer Nature
Release Date: 2023-09-30
The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.
Biostatistics
This new edition of the book will be produced in two versions. The textbook will include a CD-Rom with two videotaped lectures by the authors. This book translates biostatistics in the health sciences literature with clarity and irreverence. Students and practitioners alike, applaud Biostatistics as the practical guide that exposes them to every statistical test they may encounter, with careful conceptual explanations and a minimum of algebra. What's New? The new Bare Essentials reflects recent advances in statistics, as well as time-honored methods. For example, "hierarchical linear modeling" which first appeared in psychology journals and only now is described in medical literature. Also new, is a chapter on testing for equivalence and non-inferiority. As well as a chapter with information to get started with the computer statistics program, SPSS. Free of calculations and jargon, Bare Essentials speaks so plainly that you won't need a technical dictionary. No math, all concepts. The objective is to enable you to determine if the research results are applicable to your own patients. Throughout the guide, you'll find highlights of areas in which researchers misuse or misinterpret statistical tests. We have labeled these "C.R.A.P. Detectors" (Convoluted Reasoning and Anti-intellectual Pomposity), which help you to identify faulty methodology and misuse of statistics.