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Analysis of Variance (ANOVA)

Created By: Rachel Bruhn | Last Updated: Dec 03, 2021

Resources related to the ANOVA family of statistical tests, including One-Way ANOVA, Two-Way/Factorial ANOVA, and Repeated Measures ANOVA

(Contains 11 resources)

  • Cover of Analysis of Variance (ANOVA)

    Analysis of Variance (ANOVA)

    Found in: Encyclopedia of Survey Research Methods

    Edited by:

    Content Type: encyclopedias

    Publisher: Sage Publications, Inc. (2008)

    To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other 'how-to' guides and references texts on survey research, none are as comprehensive as this encyclopedia, nor do they present the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective which considers all aspects of possible survey error from a cost//benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, brief listing of further readings, and stable website URLs following most entries Provides appendices that include a general bibliography to build on 'Further Readings,' an annotated list of organizations relevant to survey research, and sample survey designs and actual instruments to further offer the user guidance in designing his or her own research The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.

  • Cover of Learn to Use One-Way ANOVA in SPSS With Data From the Time Sharing Experiments for the Social Sciences (2004)

    Learn to Use One-Way ANOVA in SPSS With Data From the Time Sharing Experiments for the Social Sciences (2004)

    By:

    Content Type: datasets

    Publisher: SAGE Publications, Ltd. (2015)

    This dataset is designed for teaching the one-way Analysis of Variance (ANOVA). The dataset is a subset of data derived from an experiment in social psychology titled ‘Shame, Blame and Contamination: Mental Illness Stigma and the Family’, and the example shows how to test whether particular kinds of health conditions induce different levels of family stigma. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

  • Cover of Learn to Use Two-Way ANOVA in SPSS With Data From the UK Living Cost and Food Survey (2010)

    Learn to Use Two-Way ANOVA in SPSS With Data From the UK Living Cost and Food Survey (2010)

    By: &

    Content Type: datasets

    Publisher: SAGE Publications, Ltd. (2015)

    This dataset is designed for teaching the two-way Analysis of Variance (ANOVA). The dataset is a subset of data derived from the 2010 UK Living Cost and Food Survey (LCFS), and the example analyses whether household expenditure differs as a consequence of where someone lives in the UK and the tenure agreement on the property in which they reside. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

  • Cover of Learn to Use One-Way ANOVA in SPSS With Data From the Disgust Scale Revised (2012)

    Learn to Use One-Way ANOVA in SPSS With Data From the Disgust Scale Revised (2012)

    By:

    Content Type: datasets

    Publisher: SAGE Publications, Ltd. (2015)

    This dataset is designed for teaching the one-way Analysis of Variance (ANOVA). The dataset is a subset of data derived from a psychological study of disgust sensitivity: “Demographic influences on disgust: evidence from a heterogeneous sample”, and the example tests whether people with different kinds of religious observance have different propensities to experience the emotion of disgust when confronted with a range of potentially disturbing scenarios. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

  • Cover of Learn to Use Two-Way ANOVA in SPSS With Data From the News Coverage Index (2012)

    Learn to Use Two-Way ANOVA in SPSS With Data From the News Coverage Index (2012)

    By: The Odum Institute

    Content Type: datasets

    Publisher: SAGE Publications, Ltd. (2017)

    This dataset is designed for teaching the two-way Analysis of Variance (ANOVA). The dataset is a subset of data derived from the Pew Research Center’s Project for Excellence in Journalism News Coverage Index for 2012, and the example shows how to test whether the length of TV news stories differs based on where in the broadcast the story is placed and whether the news program in question airs on network TV or cable TV. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

  • Cover of Factorial Analysis of Variance

    Factorial Analysis of Variance

    Found in: The SAGE Encyclopedia of Communication Research Methods

    Edited by:

    Content Type: encyclopedias

    Publisher: SAGE Publications, Inc (2017)

    Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: • 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. • Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. • Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. • Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. • The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version.

  • Cover of Repeated Measures Analysis of Variance

    Repeated Measures Analysis of Variance

    Found in: The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation

    Edited by:

    Content Type: encyclopedias

    Publisher: SAGE Publications, Inc. (2018)

    In an era of curricular changes and experiments and high-stakes testing, educational measurement and evaluation is more important than ever. In addition to expected entries covering the basics of traditional theories and methods, other entries discuss important sociopolitical issues and trends influencing the future of that research and practice. Textbooks, handbooks, monographs and other publications focus on various aspects of educational research, measurement and evaluation, but to date, there exists no major reference guide for students new to the field. This comprehensive work fills that gap, covering traditional areas while pointing the way to future developments. Features: Nearly 700 signed entries are contained in an authoritative work spanning four volumes and available in choice of electronic and/or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of education research, measurement, and evaluation to more easily locate directly related entries. (For instance, sample themes include Data, Evaluation, Measurement Concepts & Issues, Research, Sociopolitical Issues, Standards.) Back matter includes a Chronology of the development of the field; a Resource Guide to classic books, journals, and associations; and a detailed Index. Entries conclude with References/Further Readings and Cross References to related entries. The Index, Reader’s Guide themes, and Cross References will combine to provide robust search-and-browse in the e-version.

  • Cover of Two-Way Analysis of Variance

    Two-Way Analysis of Variance

    Found in: The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation

    Edited by:

    Content Type: encyclopedias

    Publisher: SAGE Publications, Inc. (2018)

    In an era of curricular changes and experiments and high-stakes testing, educational measurement and evaluation is more important than ever. In addition to expected entries covering the basics of traditional theories and methods, other entries discuss important sociopolitical issues and trends influencing the future of that research and practice. Textbooks, handbooks, monographs and other publications focus on various aspects of educational research, measurement and evaluation, but to date, there exists no major reference guide for students new to the field. This comprehensive work fills that gap, covering traditional areas while pointing the way to future developments. Features: Nearly 700 signed entries are contained in an authoritative work spanning four volumes and available in choice of electronic and/or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of education research, measurement, and evaluation to more easily locate directly related entries. (For instance, sample themes include Data, Evaluation, Measurement Concepts & Issues, Research, Sociopolitical Issues, Standards.) Back matter includes a Chronology of the development of the field; a Resource Guide to classic books, journals, and associations; and a detailed Index. Entries conclude with References/Further Readings and Cross References to related entries. The Index, Reader’s Guide themes, and Cross References will combine to provide robust search-and-browse in the e-version.

  • Cover of Learn About ANOVA for Repeated Measures in SPSS With Data From the Health Insurance Marketplace (2014–2016)

    Learn About ANOVA for Repeated Measures in SPSS With Data From the Health Insurance Marketplace (2014–2016)

    By: The Odum Institute

    Content Type: datasets

    Publisher: SAGE Publications, Ltd. (2018)

    This dataset is designed for teaching ANOVA for repeated measures. The dataset is a subset of data derived from the Health Insurance Marketplace Public Use Files released by the Centers for Medicare & Medicaid Services (CMS), and the example tests whether there are statistically significant differences in the average rate of plans offered by insurance issuers between years 2014, 2015 and 2016. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

  • Cover of Learn About ANOVA for Repeated Measures in SPSS With Data From the World Development Indicators (2002–2012)

    Learn About ANOVA for Repeated Measures in SPSS With Data From the World Development Indicators (2002–2012)

    By: The Odum Institute

    Content Type: datasets

    Publisher: SAGE Publications, Ltd. (2018)

    This dataset is designed for teaching ANOVA for repeated measures. The dataset is a subset of data derived from the World Development Indicators from the World Bank, and the example tests whether there is a statistically significant difference in the Gini index between years 2002, 2007 and 2012. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

  • Cover of Learn to Use Factorial Analysis of Variance (ANOVA) in SPSS With Data From the English Health Survey (Teaching Dataset) (2002)

    Learn to Use Factorial Analysis of Variance (ANOVA) in SPSS With Data From the English Health Survey (Teaching Dataset) (2002)

    By:

    Content Type: datasets

    Publisher: SAGE Publications Ltd. (2019)

    This dataset is for learning to use Factorial Analysis of Variance (henceforth ANOVA). The dataset is a subset of data derived from the 2002 English Health Survey (Teaching Dataset), and the example tests whether waist/hip ratio varies by both sex and marital status. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for IBM®SPSS®.