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      • Trusted Partner
        Teaching, Language & Reference
        April 2020

        Mundane methods

        Innovative ways to research the everyday

        by Helen Holmes, Sarah Marie Hall

        Mundane Methods is an innovative and original collection which will make a distinctive methodological and empirical contribution to research on the everyday. Bringing together a range of interdisciplinary approaches it provides a practical, hands-on approach for scholars interested in studying the mundane and exploring its potential. Divided into three key themes this volume explores methods for studying: materials and memories, emotions and senses, and mobilities and motion; with encounters, relationships, practices, spaces, temporalities and imaginaries cross-cutting throughout. In doing so, it draws on the work of a range of established and up-and-coming scholars researching the everyday, including human geographers, sociologists, anthropologists, urban planners, cartographers, and fashion historians. With empirical examples, practical tips, ethical considerations, and exercises.

      • Trusted Partner
        Teaching, Language & Reference
        April 2020

        Mundane methods

        Innovative ways to research the everyday

        by Helen Holmes, Sarah Marie Hall

        Mundane Methods is an innovative and original collection which will make a distinctive methodological and empirical contribution to research on the everyday. Bringing together a range of interdisciplinary approaches it provides a practical, hands-on approach for scholars interested in studying the mundane and exploring its potential. Divided into three key themes this volume explores methods for studying: materials and memories, emotions and senses, and mobilities and motion; with encounters, relationships, practices, spaces, temporalities and imaginaries cross-cutting throughout. In doing so, it draws on the work of a range of established and up-and-coming scholars researching the everyday, including human geographers, sociologists, anthropologists, urban planners, cartographers, and fashion historians. With empirical examples, practical tips, ethical considerations, and exercises.

      • Research methods: general
        January 2015

        Basics of Research Methodology

        by Ekwal Imam

        The book begins with - Introduction, which deals with the concept of research methodology. Second includes details on collection of data, followed by sampling techniques. four enumerates sample size calculation. Basic concept of probability is provided in five, whereas, in six hypothesis formulation is discussed in detail. seven will give an insight on how to write a research proposal/ project with an example. In eight writing a scientific research paper, how to write a review paper, methods of presenting research outcome using oral presentation, poster presentation and ethics in research are discussed. At the end of this , some of the words which are commonly misused are pointed out. nine is all about the methods deal in data presentation using table, graph, figure etc. A is also devoted to selected bibliography, which may be helpful for further reading. The book is written considering the requirements of the students offering research methodology at under and postgraduate levels. This book will be attractive to researchers needing familiarity with research methods. The methods described in this book are made users friendly so that even general readers will find this book useful.

      • Research methods: general
        July 2021

        Statistical Analysis Using R Software

        by Abhiram Dash

        The book Statistical Analysis Using R software deals with the fundamental concept of R software and the codes in R used for statistical analysis. It includes the development and content of R software, the concept of writing codes in R, importing of data from other software for use in R software. The codes in R used for statistical analysis purpose are mentioned in the mentioned and vividly explained. The book would definitely help the students and the personnel involved in teaching and research in understanding the concepts of R and its use for statistical analysis purpose.

      • Humanities & Social Sciences
        February 2019

        Reengineering the Census Bureau's Annual Economic Surveys

        by National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on Reengineering the Census Bureau's Annual Economic Surveys, Nancy K. Kirkendall, Glenn D. White, Jr., Constance F. Citro, Katharine Abraham

        The U.S. Census Bureau maintains an important portfolio of economic statistics programs, including quinquennial economic censuses, annual economic surveys, and quarterly and monthly indicator surveys. Government, corporate, and academic users rely on the data to understand the complexity and dynamism of the U.S. economy. Historically, the Bureau’s economic statistics programs developed sector by sector (e.g., separate surveys of manufacturing, retail trade, and wholesale trade), and they continue to operate largely independently. Consequently, inconsistencies in questionnaire content, sample and survey design, and survey operations make the data not only more difficult to use, but also more costly to collect and process and more burdensome to the business community than they could be. This report reviews the Census Bureau’s annual economic surveys. Specifically, it examines the design, operations, and products of 11 surveys and makes recommendations to enable them to better answer questions about the evolving economy.

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