Borrow Field Experiments Design Analysis And Interpretation
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Field Experiments
Author: Alan S. Gerber
language: en
Publisher: W W Norton & Company Incorporated
Release Date: 2012
A brief, authoritative introduction to field experimentation in the social sciences. Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings.
The SAGE Handbook of Applied Social Psychology
This book offers an overview of the field of social psychology and its disparate and evolving approaches. It also brings prominent research literature together and organizes it around several key areas: culture, race, indigeneity, gender & sexuality, politics, health and mental health, work, aging, communication, education, environment, and criminal justice, law, & crime.
TEXT BOOK OF BIOSTATISTICS AND RESEARCH METHODOLOGY
Author: Dr. Manish Baise, Dr. Narendra K. Nayak, Prof (Dr.) Meka Sreedhar Rao, Dr. Neelu Jhala, Dr. Nisha Tanwar
language: en
Publisher: Shashwat Publication
Release Date: 2025-01-30
The Text Book of Biostatistics and Research Methodology offers a comprehensive guide to the essential concepts and statistical techniques used in pharmaceutical research and biostatistics. Designed to serve as both a textbook and a reference, it covers a wide range of topics that are crucial for students and professionals in the field. The book begins with an introduction to measures of central tendency, including mean, median, and mode, providing practical pharmaceutical examples to help readers understand their applications. Next, it delves into measures of dispersion such as range, standard deviation, and their pharmaceutical implications. The section on correlation explores Karl Pearson’s coefficient and multiple correlation with a focus on real-world pharmaceutical problems. In the regression section, the book teaches methods like curve fitting, regression models, and the standard error of regression, applying these concepts to pharmaceutical scenarios. The book also provides an in-depth explanation of probability, covering binomial, normal, and Poisson distributions, along with various probability-related topics, including sample size, null and alternative hypotheses, and errors in statistical analysis. The parametric tests section includes t-tests, ANOVA, and least significance difference, while non-parametric tests such as Wilcoxon Rank Sum, Mann-Whitney U, and Kruskal-Wallis tests are also thoroughly covered. Additionally, the book explores research methodology, including the need for research, experimental design techniques, and the importance of plagiarism prevention. The section on graphs explains various types such as histograms, pie charts, and response surface plots, with practical examples for visual data representation. The methodology design chapter provides critical information on sample size determination, report writing, and designing clinical trials, including details on observational and experimental studies.