Last edited by Tushicage
Tuesday, May 19, 2020 | History

6 edition of Analyzing Social Science Data found in the catalog.

Analyzing Social Science Data

50 Key Problems in Data Analysis

by David de Vaus

  • 128 Want to read
  • 15 Currently reading

Published by Sage Publications Ltd .
Written in English

    Subjects:
  • Data analysis: general,
  • Social research & statistics,
  • Statistical methods,
  • Social Science,
  • Sociology,
  • Philosophy,
  • Methodology,
  • Research,
  • Social Science / Research,
  • Social sciences

  • The Physical Object
    FormatPaperback
    Number of Pages402
    ID Numbers
    Open LibraryOL8030347M
    ISBN 100761959386
    ISBN 109780761959380

    Analyzing Social Science Data: 50 Key Problems in Data Analysis by David de Vaus and a great selection of related books, art and collectibles available now at Chapter 1: Basic Concepts in Research and Data Analysis 9 Scales of Measurement and JMP Modeling Types One of the most important schemes for classifying a variable involves its scale of measurement. Researchers generally discuss four scales of measurement: nominal, ordinal, interval, and Size: KB.

      This book is intended to show social science students the importance of attending to design issues when undertaking social research. One of the main problems in doing practical research is that design and structure are inappropriate for the uses of research. Research design in social research, Volume 10 Analyzing Social Science Data: 50 /5(5). Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural,/5(5).

    Qualitative data analysis Learning how to analyse qualitative data by computer can be fun. That is one assumption underpinning this new introduction to qualitative analysis, which takes full account of how computing techniques have enhanced and transformed the field. The book provides a practical and unpretentious discussion of the.   The Importance of Critical Data Analysis for the Social Sciences Current social science research and writing faces a number of possibilities that seem to be constrained by three major challenges. The first is the limits of the imagination; the second is knowing what kinds of data are now out there; and the third is having the tools to aggregate.


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Analyzing Social Science Data by David de Vaus Download PDF EPUB FB2

The book is a tour de force in making data analysis manageable and rewarding for today′s undergraduate studying research methods. `I′m full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students.5/5(2).

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice.

The book provides practical guidance on combining methods and tools from computer science, statistics, and social science.5/5(2).

Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the "how to" of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept.5/5(1).

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data.

In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field.

Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables. Analyzing Social Science Data by David de Vaus,available at Book Depository with free delivery worldwide.4/5(1).

Analyzing social science data. [D A De Vaus] -- David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field.

Data Analysis for the Social Sciences and millions of other books are available for Amazon Kindle. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - /5(5).

Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships.

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze : Quan Li.

In natural science or in social science data analysis is the heart of any quantitative research. As it is discussed earlier, the primary objective of quantitative research is to draw conclusion.

based on empirical observation and mathematical expression of the phenomena. Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at.

Apply statistics to your everyday life. Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful.

Rather than focusing on the “how to” of statistics, author Eric J. Brand new Book. In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis.

The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables.

It is a type of social science research that collects and works with non-numerical data that seeks to interpret meaning from these data that help us to understand social life through the study of targeted populations or places [Punch, ]. Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences.

Lia Figgou, Vassilis Pavlopoulos, in International Encyclopedia of the Social & Behavioral Sciences (Second Edition), Thematic Analysis. There is no agreement if it really constitutes a specific method in its own right.

It is often rather unclear which its differences with qualitative content analysis are, and its use has been fairly inconsistent (see, however, Braun and Clarke, Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships.

[from publisher's advertisement] xxiv, p.: ill. ; 24 cm. Studies and reports. Series N. Book Description.

Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation.

A Typology of Research Methods Within the Social Sciences 1. For the classification of research and the prioritisation of research methods within the social sciences. This could provide a useful framework for the identification of 4.

Data Handling and Data Analysis 5. ICT, Software and Simulation 6. Research Management and Application. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering.

This book is also an appropriate reference for practitioners who require a review of quantitative research. Transcribed interviews were analyzed using () qualitative data analysis software, a commonly used program in qualitative social science.

The researchers approached data analysis from an inductive perspective, allowing themes to emerge from the : Matthew DeCarlo. Students need books that will guide them through finding, cleaning, analyzing, and presenting data using statistical programs like R, making this book an important text for any higher-level data analysis, statistics or research course in the social sciences/5(3).