Introduction to the New Statistics : Estimation, Open Science, and Beyond
Geoff Cumming
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Introduction to the New Statistics : Estimation, Open Science, and Beyond
Geoff Cumming
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Set-Theoretic Multi-Method Research : A Guide to Combining QCA and Case Studies
Carsten Q. (Central European University, Vienna) Schneider
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Collaborate Now! : How Expertise Becomes Useful in Civic Life
Adam Seth Levine
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Active Statistics : Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference
Andrew (Columbia University, New York) Gelman
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Practical Introduction to Regression Discontinuity Designs : Extensions
Matias D. Cattaneo
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An Introduction to Qualitative Research : Becoming Culturally Responsive
Maria K. E. Lahman
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Disrupting the Academy with Lived Experience-Led Knowledge : Decolonising and Disrupting the Academy
Uncle Stan Grant
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Biographical Research and New Social Architectures : Challenges and Opportunities for Creative Applications across Europe
Tamsin Barber
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Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data
Engineering, and Medicine National Academies of Sciences
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The Crime Data Handbook
Ian (University of Surrey) Brunton-Smith
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Discovering Statistics Using R
Andy (University of Sussex, UK) Field
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Andrew (Columbia University, New York) Gelman
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The Research Imagination : An Introduction to Qualitative and Quantitative Methods
Paul S. (Boston College, Massachusetts) Gray
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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Overcoming the Odds : Raising Academically Successful African American Young Women
Freeman A. Hrabowski III
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Why are Women more Religious than Men?
Marta Trzebiatowska
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Decolonizing Methodologies : Research and Indigenous Peoples
Smith Linda Tuhiwai Smith
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Quantitative Data Analysis : Doing Social Research to Test Ideas
Donald J. Treiman
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Social Research : Paradigms in Action
Norman Blaikie
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Statistical Rethinking : A Bayesian Course with Examples in R and STAN
Richard McElreath
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