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Engineering Happiness : A New Approach for Building a Joyful Life / / Manel Baucells, Rakesh Sarin
| Engineering Happiness : A New Approach for Building a Joyful Life / / Manel Baucells, Rakesh Sarin |
| Autore | Baucells Manel |
| Pubbl/distr/stampa | Berkeley, CA : , : University of California Press, , [2012] |
| Descrizione fisica | 1 online resource (247 p.) |
| Disciplina |
152.4/2
152.42 |
| Soggetto topico |
Happiness
SOCIAL SCIENCE / Popular Culture |
| Soggetto non controllato |
anthropology
behavioral sciences behavioral scientists choose happiness economics emotions everyday life happiness research happiness joy life building life satisfaction management science mental health modern life nonfiction popular culture positive psychology practical guide psychology self help social researchers social sciences social scientists sociology therapists therapy wisdom world literature world religions |
| ISBN |
1-283-36971-0
9786613369710 0-520-95142-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface: Engineers on Happiness -- Acknowledgments -- Introduction: The Science of Happiness -- Part I. Overview -- Part II. Laws of Happiness -- Part III. Engineering a Happier Life -- Notes -- Index |
| Record Nr. | UNINA-9910781551703321 |
Baucells Manel
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| Berkeley, CA : , : University of California Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Small sample size solutions : a guide for applied researchers and practitioners / / edited by Rens van de Schoot and Milica Miočević
| Small sample size solutions : a guide for applied researchers and practitioners / / edited by Rens van de Schoot and Milica Miočević |
| Autore | van de Schoot Rens |
| Pubbl/distr/stampa | Taylor & Francis, 2020 |
| Descrizione fisica | 1 online resource (xiv, 269 pages) : digital, PDF file(s) |
| Disciplina | 001.42 |
| Collana | European Association of Methodology series |
| Soggetto topico |
Research - Methodology
Data sets |
| Soggetto non controllato |
statistical methods
researchers statistical model research small sample estimation population variables observations social sciences behavioral sciences medical sciences epidemiology psychology marketing economics analysis |
| ISBN |
1-000-76101-0
1-000-76108-8 0-367-22222-1 0-429-27387-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction (Van de Schootand Miočević) List of Symbols Part I: Bayesian solutions 1. Introduction to Bayesian statistics(Miočević, Levy,and van de Schoot) 2.The role of exchangeability in sequential updating of findings from small studies and the challenges of identifying exchangeable data sets (Miočević, Levy,and Savord) 3. A tutorial on using the WAMBS checklist to avoid the misuse of Bayesian statistics(van de Schoot, Veen, Smeets, Winter,and Depaoli) 4. The importance of collaboration in Bayesian analyses with small samples (Veenand Egberts) 5. A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes (van Erp) PartII: n=1 6. One by one: the designand analysis of replicated randomized single-case experiments(Onghena) 7. Single-case experimental designs in clinical intervention research (Maricand van der Werff) 8. How to improve the estimation of a specific examinee's (n=1)math ability when test data are limited(Lekand Arts) 9. Combining evidence over multiple individual analyses(Klaassen) 10. Going multivariate in clinical trial studies: a Bayesian framework for multiple binary outcomes(Kavelaars) PartIII: Complex hypotheses and models 11. An introduction to restriktor: evaluating informative hypotheses for linear models (VanbrabantandRosseel) 12. Testing replication with small samples: applications to ANOVA(Zondervan-Zwijnenburgand Rijshouwer) 13. Small sample meta-analyses: exploring heterogeneity using MetaForest (van Lissa) 14. Item parcels as indicators: why, when, and how to use them in small sample research(Rioux, Stickley, Odejimi,and Little) 15. Small samples in multilevel modeling(Hoxand McNeish) 16. Small sample solutions for structural equation modeling(Rosseel) 17. SEM with small samples: two-step modeling and factor score regression versus Bayesian estimation with informative priors (Smidand Rosseel) 18. Important yet unheeded: some small sample issues that are often overlooked(Hox) Index |
| Record Nr. | UNINA-9910377813603321 |
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van de Schoot Rens
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| Taylor & Francis, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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