Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Overview
| Works: | 36 works in 36 publications in 36 languages | |
|---|---|---|
Titles
Essays on strategy and public healththe systematic reconfiguration of power relations /
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(Electronic resources)
Test data engineeringlatent rank analysis, biclustering, and Bayesian network /
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(Electronic resources)
The metrics of happinessthe art and science of measuring personal happiness and societal wellbeing /
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(Electronic resources)
Community quality-of-life indicatorsa guide for community indicators projects /
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Data analysis with machine learning for psychologistscrash course to learn Python 3 and machine learning in 10 hours /
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Modern classification and data analysismethodology and applications to micro- and macroeconomic problems /
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Statistics for empowerment and social engagementteaching civic statistics to develop informed citizens /
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Doing social research and publishing resultsa guide to non-native English speakers /
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Design of mechanical systemsaccelerated lifecycle testing and reliability /
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Pocket evidence based medicinea survival guide for clinicians and students /
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Social science research in the arab world and beyonda guide for students, instructors and researchers /
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Non-academic careers for quantitative social scientistsa practical guide to maximizing your skills and opportunities /
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Discrete choice experiments using Ra how-to guide for social and managerial sciences /
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State of the art in partial least squares structural equation modeling (PLS-SEM)methodological extensions and applications in the social sciences and beyond /
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Quantitative methods for the social sciencesa practical introduction with examples in R /
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Measuring gender equalitya multidisciplinary analysis of some EU countries /
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Database computing for scholarly researchcase studies using the Online Cultural and Historical Research Environment /
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Life and job satisfaction in Chinaexploring longitudinal analysis with Mplus /
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The independence of official statisticsnorms, arrangements, instruments /
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Partial least squares path modelingbasic concepts, methodological issues and applications /
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Fundamentals of supervised machine learningwith applications in Python, R, and Stata /
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Twenty interviews with Psychometric society presidentswhat's on the mind of the psychometrician? /
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Analysis of categorical data from historical perspectivesessays in honour of Shizuhiko Nishisato /
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