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Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measures of tolerance and VIF within the discussion about collinearity.
A practical step-by-step guide to using Excel in the data preparation process
The bestseller continues to offer immensely practical advice and technical expertise to aid researchers in making sense of their collected data.
This practical, hands-on guide helps beginning researchers create a mixed methods research proposal for their dissertations, grants, or general research studies.
Pairing each data collection technique with the appropriate analytic method, this book provides readers with information on doing qualitative collection and analysis, and guides them on selecting among the complete variety of qualitative techniques.
This book visually presents quantitative, qualitative, and mixed methods research designs in a way that students and researchers can readily understand and accurately apply in their own investigations.
Conducting Online Research on Amazon Mechanical Turk and Beyond, by Leib Litman and Jonathan Robinson, provides researchers with... Læs mere
The updated Second Edition of the comprehensive how-to guide functions as a set of blueprints, supported by research and the author’s extensive experience with clients in industries all over the world, for conveying data in an impactful way.
A Crash Course in Statistics is a short introduction to key statistical methods including descriptive statistics, one-way and two-way ANOVA, the t-test, and Chi Square. Each... Læs mere
Students and researchers across the social sciences
This is a core research design text for courses in experimental design aimed at social scientists, focusing on the methodological and design issues in planning an experiment.