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International Journal of Scientific and Research Publications

Monograph:

Title: Optimizing Quantitative Research: Unlocking the Power of Sample Size

Author/s:
Ariel B. Mabansag


PREFACE

Welcome to "Optimizing Quantitative Research: Unlocking the Power of Sample Size." This monograph aims to provide researchers, practitioners, and students with a comprehensive guide to the fundamental concepts, techniques, and considerations surrounding sample size determination in quantitative research.

In the ever-evolving landscape of data-driven inquiry, understanding the importance of sample size is vital for generating robust and reliable results. The sample size directly impacts the validity and generalizability of study findings, influencing the accuracy of statistical inferences and the strength of evidence.

Sample size determination is a multifaceted process that requires careful consideration of various factors, including research questions, population characteristics, desired precision and confidence, and statistical techniques. Choosing an inadequate sample size can lead to imprecise estimates, reduced statistical power, and increased risks of making Type I or Type II errors. This monograph is designed to navigate the intricacies of sample size determination, providing a roadmap to enhance research quality and enhance the impact of your findings. We have structured this monograph into several chapters, each delving into different aspects of sample size determination.

It is my hope that this monograph serves as a valuable resource, empowering you to make informed decisions regarding sample size determination in your quantitative research endeavors. By optimizing your sample size, you can enhance the rigor and impact of your studies, contributing to the advancement of knowledge and evidence-based decision-making.

I invite you to embark on this journey of understanding and mastering sample size determination. May this monograph be your guide, supporting you in unlocking the power of sample size and elevating the quality of your research.

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