Mathematics

Field Experiments
Principles and Practices in Experimental Design

Editors: Dr. Preety Kalra
Dr. Amir Ahmad Dar

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Field Experiments

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Short description of the Book:

Field Experiments: Principles and Practices in Experimental Design serves as a comprehensive guide for researchers, students, and practitioners engaged in the intricate process of designing and conducting field experiments. This book delves into the core principles and practical applications necessary to execute successful field experiments across various disciplines, including social sciences, agriculture, economics, and public health.

The book provides a detailed exploration of the different types of field experiments, such as randomized controlled trials, natural experiments, and quasi-experiments, highlighting their unique strengths and limitations. Readers will gain insights into how to choose the appropriate experimental design based on their research questions and contextual constraints.

As editors, we shall endeavor that this book explores the applied and empirical facets of data rather than their theoretical descriptions.

Coverage:

We request potential authors to consider submitting their scholarly findings to enrich the content of this intended book. The book will cover the following topics, but not limited to:

• Introduction to Field Experiments
• Fundamentals of Experimental Design
• Planning and Designing Field Experiments
• Site Selection and Participant Recruitment
• Ethical Considerations in Field Experiments
• Implementing Field Experiments
• Data Collection Methods
• Statistical Analysis of Field Experiment Data
• Introduction to Statistics in Field Experiments
• Descriptive Statistics
• Probability and Inferential Statistics
• Experimental Design
• Statistical Tests in the field
• Correlation and Regression Analysis
• Factor Analysis and Structural Equation Modeling
• Advanced Topics in Statistical Analysis
• Practical Applications and Case Studies
• Ethical Considerations in Statistical Analysis
• Correlation and Regression Analysis: Examining Relationships between Variables
• ANOVA (Analysis of Variance): Comparing Multiple Group Means
• Chi-Square Analysis: Investigating Categorical Data Relationships
• Time Series Analysis: Understanding Temporal Patterns and Trends
• Sampling Techniques: Ensuring Representative Data Collection
• Experimental Design: Controlling for Confounding Factors
• Factor Analysis: Identifying Underlying Factors in Complex Data
• Structural Equation Modeling: Examining Complex Relationships in Data

Important Dates:

Initial Proposal / Abstract Submission (250 - 350 words)
Deadline: Nov 10th, 2024
Notification of Acceptance: Nov 20th, 2024
Full Chapter (8,000 - 10,000 words) Submission Due: On or before Jan 10th, 2025

Submission procedure:
Researchers and practitioners are invited to submit a one-page chapter proposal or abstract on or before Nov 10th, 2024, clearly mentioning the title of the paper and author(s) details.

Author(s) will be notified about the status of their proposals by Nov 20th, 2024. Full chapters (15-30 pages) are expected to be submitted by Jan 10th, 2024. All submitted chapters will be peer-reviewed.

Prospective authors are requested to submit their proposals / full-length chapters as an email attachment in a Word file to:
Email: kalra.preety@gmail.com

Authors must refer to the following link for detailed guidelines for chapter preparation:
http://www.appleacademicpress.com/publishwithus

Note: There is no publication fee for manuscripts submitted to this book publication. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere.


About the Authors / Editors:
Editors: Dr. Preety Kalra
Associate Professor, Department of Mathematics, Lovely Professional University, Punjab, India Email: kalra.preety@gmail.com


Dr. Amir Ahmad Dar
Assistant Professor, Department of Statistics, Lovely Professional University, Punjab, India Email: sagaramir200@gmail.com





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