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1. |
Record Nr. |
UNINA9910464265103321 |
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Titolo |
Causality and motivation [[electronic resource] /] / Roberto Poli (ed.) |
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Pubbl/distr/stampa |
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Frankfurt ; ; New Brunswick, : Ontos Verlag, 2010 |
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ISBN |
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Descrizione fisica |
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1 online resource (197 p.) |
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Collana |
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Philosophische Analyse = Philosophical analysis ; ; Bd. 35 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Causation |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Front matter -- Table of Contents -- Foreword -- The Structure of Motivation. A First Introduction / Poli, Roberto -- The Exclusion Problem and the Prospects of a Motivational Solution / Roy, Jean-Michel -- Two Kinds of Motivation: Character and Reward / Weissman, David -- Supervenience (on Steroids) and the Mind / Jacquette, Dale -- The Subjective Origin of Causality / Albertazzi, Liliana -- A Process-oriented Framework for Goals and Motivations in Biological and Artificial Agents / Manzotti, Riccardo -- Causality and Motivation in Edith Stein / Bello, Angela Ales -- The Futures of Causality: Hans Jonas and Gilles Deleuze / Groves, Christopher -- Christian Doctrine and Theories of Emergence / Love, Cyprian -- The Contributors to this Volume -- Backmatter |
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Sommario/riassunto |
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The belief is widely held that the physical world is causally-driven. The world is one because a tangled web of causally-driven processes keeps it together. However, both the psychological and the social worlds cannot be articulated in causal terms only. Hereby, "motivation" is used as the most general term referring to whatever keeps (synchronically) together and provides (diachronic) reasons explaining the behavior of psychological and social systems. In order to systematically address these problems, a categorical framework is needed for understanding the various types of realities population |
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2. |
Record Nr. |
UNINA9910794753503321 |
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Autore |
Ramlall Indranarain |
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Titolo |
Applied structural equation modelling for researchers and practitioners : using R and Stata for behavioural research / / by Indranarain Ramlall |
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Pubbl/distr/stampa |
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Bingley, England : , : Emerald, , 2017 |
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©2017 |
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ISBN |
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Descrizione fisica |
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1 online resource (152 pages) : illustrations |
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Disciplina |
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Soggetti |
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Structural equation modeling |
R (Computer program language) |
Education - Teaching Methods & Materials / Social Science |
Sociology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Definition of SEM -- Types of SEM -- Benefits of SEM -- Drawbacks of SEM -- Steps in structural equation modelling -- Model specification: path diagram in SEM -- Model identification -- Model estimation -- Model fit evaluation -- Model modification -- Model cross-validation -- Parameter testing -- Reduced=form version of SEM -- Multiple indicators multiple causes model of SEM -- Practical issues to consider when implementing SEM -- Review questions -- Enlightening questions on SEM -- Applied structural equation modelling using R -- Applied structural equation modelling suing STATA. |
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Sommario/riassunto |
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During the last two decades, structural equation modelling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Social science researchers and students benefit greatly from acquiring knowledge and skills in SEM, since the methods can provide a bridge between the theoretical and empirical aspects of behavioural research. Ramlall explains in a rigorous, concise, and practical manner all the vital components embedded in structural equation modelling (SEM). Focusing on R and Stata to implement and perform various structural equation models, Ramlall examines the types, benefits, and |
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drawbacks of SEM, delving into model specifications and identifications, fit evaluations, and path diagrams. |
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