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Determining Sample Size and Power in Research Studies
This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions. It explains how to enhance the authenticity of research by estimating the sample size and reporting the power of the tests used. Further, it discusses the issue of sample size determination in survey studies as well as in hypothesis testing experiments so that readers can grasp the concept of statistical errors, minimum detectable difference, effect size, one-tail and two-tail tests and the power of the test. The book also highlights the importance of fixing these...
Understanding Structural Equation Modeling
This book presents a comprehensive overview of Structural Equation Modeling and how it can be applied to address research issues in different disciplines. The authors employ a ‘simple to complex’ approach. The book reviews topics such as variance, covariance, correlation, multiple regression, mediation, moderation, path analysis, and confirmatory factor analysis. The authors then discuss the initial steps for performing structural equation modeling, including model specification, model identification, model estimation, model testing, and model modification. The book includes an introduction to the IBM SPSS and IBM SPSS Amos software. The authors the explain how this software can be utilized for developing measurement, structural models, and SEM models. The book provides conceptual clarity in understanding the models and discusses practical approaches to solving them. The authors also highlight how these techniques can be applied to various disciplines, including psychology, education, sociology, business, medicine, political science, and biological sciences.
Multi-Criteria Decision Analysis in Management
Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems. A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets. The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications. The content within this publication examines hybrid multicriteria models, value theory, and data envelopment. Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.
Determination of Sample Size and Power Analysis with G*Power Software
The book provides a step-wise approach to determine the sample size and power in survey studies and hypothesis testing experiments. Concepts involved in the process have been discussed in a crisp and easy manner so that one can understand them even without having much knowledge of statistical techniques. The G*Power software, which is a freeware has been used to determine sample size and power in research studies. In order to make it more simple lots of screenshots have been used so that the researchers can determine their own sample size in different types of experiments for specific power.
A Comment on Xu (2022)
Xu (2022) estimates the causal impact of bank failures on the level of trades with a staggered difference-in-differences design and an IV strategy with Bartik instrument, using the 1866 banking crisis as a quasi-natural experiment. Findings, based on historical data on the trades and loans between London banks and banks around the world, show that countries exposed to bank failures in London immediately exported significantly less and did not recover their lost growth relative to unexposed places. Moreover, the effect lasted for decades. First, we reproduce the paper's main findings by running the original code and uncover three issues, one of which that slightly affects the main estimates reported in the study. Second, we test the robustness of the results to (1) removing weights from the regressions, (2) using a spatial HAC correction for the standard errors, and (3) implementing a method for possibly heterogeneous treatment effects with a staggered difference-indifferences design. Overall, we conclude that the main findings are valid and robust.
Annual Report
None
Agriculture in Bihar
Study based on the 1981 data.
Indian Literature
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India
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