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Managing Your Research Data and Documentation (Concise Guides to Conducting Behavioral, Health, and Social Science Research Series)

معرفی کتاب «Managing Your Research Data and Documentation (Concise Guides to Conducting Behavioral, Health, and Social Science Research Series)» نوشتهٔ Kathy R Berenson; American Psychological Association، منتشرشده توسط نشر American Psychological Association در سال 2017. این کتاب در فرمت epub، زبان انگلیسی ارائه شده است.

Choice Reviews Outstanding Academic Title In the behavioral sciences today, there is increasing emphasis on transparency, and the need for research studies to be made replicable. This book presents a straightforward approach to managing and documenting one’s data so that other researchers can repeat the study. While data management may seem intimidating to new researchers, this book shows how easy it can (and should!) be. The first chapter presents a basic structure of folders and subfolders for organizing data files, and then each subsequent chapter delves into details for a specific folder. Step by step, readers learn to label and archive different kinds of project documents and data files, including original, processed, and working data. Readers also learn to write command codes showing exactly how the original data are analyzed. Examples illustrate how to document the most common types of research (an online survey, a paper questionnaire, and a multiple-trial experiment). Since major research funders now require recipients to meet strict standards for data handling, this book will foster a vital career skill for students and promote transparency and replicability of research. Choice Reviews Outstanding Academic TitleIn the behavioral sciences today, there is increasing emphasis ontransparency, and the need for research studies to be madereplicable. This book presents a straightforward approach tomanaging and documenting one's data so that other researchers canrepeat the study. While data management may seem intimidating tonew researchers, this book shows how easy it can (and should!) be.The first chapter presents a basic structure of folders andsubfolders for organizing data files, and then each subsequentchapter delves into details for a specific folder. Step by step,readers learn to label and archive different kinds of projectdocuments and data files, including original, processed, andworking data. Readers also learn to write command codes showingexactly how the original data are analyzed. Examples illustrate howto document the most common types of research (an online survey, apaper questionnaire, and a multiple-trial experiment). Since majorresearch funders now require recipients to meet strict standardsfor data handling, this book will foster a vital career skill forstudents and promote transparency and replicability of research.Choice Reviews Outstanding Academic TitleThis book presents a straightforward approach to managing anddocumenting one's data with enough clarity and precision that otherresearchers can fully replicate the study. Step by step, readerslearn to label and archive different kinds of project documents anddata files, including original, processed, and working data. Theresult is a logical, comprehensive approach for making one'sresearch transparent and replicable---a vital skill for one'scareer in psychology and other behavioral sciences "In the behavioral sciences today, there is increasing emphasis on transparency, and the need for research studies to be made replicable. In this book, Kathy R. Berenson presents a straightforward approach to managing and documenting one's data so that other researchers can repeat the study. While data management may seem intimidating to new researchers, this guide shows how easy it can (and should) be. The first chapter presents a basic structure of folders and subfolders for organizing data files, and then each subsequent chapter delves into details for a specific folder. Step by step, readers learn to label and archive different kinds of project documents and data files, including original, processed, and working data. Readers also learn to write command codes showing exactly how the original data are analyzed. Examples illustrate how to document the most common types of research, and since major research funders now require recipients to meet strict data handling standards, this resource will foster a vital career skill for students." -- Publisher's website
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