1.

Record Nr.

UNINA9911001787703321

Autore

Witkowski Tomasz

Titolo

Shaping Psychology : Perspectives on Legacy, Controversy and the Future of the Field / / by Tomasz Witkowski

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2020

ISBN

3-030-50003-9

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (viii, 331 pages, 16 illustrations, 15 illustrations in colour.)

Disciplina

150.922

Soggetti

Psychology

Social sciences - History

Psychology - Methodology

Science - History

Behavioral Sciences and Psychology

History of Psychology

Psychological Methods

History of Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1. Introduction -- 2. Elizabeth F. Loftus: Cognitive Psychology, Witness Testimony and Human Memory -- 3. Jerome Kagan: Temperament, Developmental Psychology and Methodology -- 4. Michael I. Posner: Cognitive Neuroscience, Attention Networks and Training the Brain -- 5. Scott O. Lilienfeld: Clinical Psychology, Evidence-Based Treatments and Skepticism -- 6. Robert J. Sternberg: Intelligence, Love, Creativity and Wisdom -- 7. Robert Plomin: Behavioral Genetics -- 8. Susan J. Blackmore: Parapsychology, Memetics and Consciousness -- 9. Joseph E. LeDoux: Fear, Anxiety, Emotions, Consciousness and Evolution -- 10. Noam Chomsky: Psycholinguistics -- 11. Roy F. Baumeister: Self-esteem, Self-control and the Power of Will -- 12. Erica Burman: Developmental Psychology, Feminist Research and Methodology -- 13. Brian A. Nosek: Open Science and Reproducibility Projects -- 14. VikramH. Patel: Global Mental Health -- 15. Daniel Kahneman:



Decision-making, Adversarial Collaboration and Hedonic Psychology -- 16. Carol A. Tavris: Cognitive Dissonance, Gender, Feminism, and Skepticism.

Sommario/riassunto

Shaping Psychology is a unique collection of in-depth conversations with a selection of the most influential psychologists working today, conducted at the end of a decade that shook psychological science. They provide insights into the controversies at the heart of contemporary psychology, revealing a clash of visions of what psychological science is all about and what its future holds. They are candid on the crisis in psychology and explore its causes, consequences and how to overcome it. They also discuss challenges in the field, their careers, and the experiences that shaped their worldview. Those interviewed include pioneers who have shaped psychology as we know it today and who represent a wide range of specializations, from research to mental health practice, mainstream psychology to critical psychology and neuroscience to the Open Science movement. Elizabeth F. Loftus, StanfordUniversity, USA Jerome Kagan, Harvard University, USA Michael I. Posner, University of Oregon, USA Scott O. Lilienfeld, Emory University, USA Robert J. Sternberg, Cornell University, USA Robert Plomin, King's College London, UK Susan J. Blackmore, University of Plymouth, UK Joseph E. LeDoux, New York University, USA Noam Chomsky, Massachusetts Institute of Technology, USA Roy F. Baumeister, University of Queensland, Australia Erica Burman, University of Manchester, UK Brian A. Nosek, University of Virginia, USA Vikram H. Patel, Harvard Medical School, USA Daniel Kahneman, Princeton University, USA Carol A. Tavris, independent academic,USA,.



2.

Record Nr.

UNINA9911031662903321

Autore

Giordano Giuseppe

Titolo

Statistical Models and Learning Methods for Complex Data / / edited by Giuseppe Giordano, Michele La Rocca, Marcella Niglio, Marialuisa Restaino, Maurizio Vichi

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-84702-4

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (312 pages)

Collana

Studies in Classification, Data Analysis, and Knowledge Organization, , 2198-3321

Altri autori (Persone)

La RoccaMichele

NiglioMarcella

RestainoMarialuisa

VichiMaurizio

Disciplina

519.5

Soggetti

Mathematical statistics - Data processing

Statistics

Data mining

Quantitative research

Statistics and Computing

Statistical Theory and Methods

Applied Statistics

Data Mining and Knowledge Discovery

Data Analysis and Big Data

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

- Exploring latent evolving ability in test equating and its effects on final rankings -- Hidden Markov and related discrete latent variable models An application to compositional data -- An application of Natural Language Processing Analysis on TripAdvisor Reviews -- Modelling football players field position via mixture of Gaussians with flexible weights -- Estimation Issues in Multivariate Panel Data -- Testing linearity in the single functional index model for dependent data -- A multi-step approach for streamflow classification -- Identification of misogynistic accounts on Twitter through Graph



Convolutional Networks -- Topic modeling of publication activity in Hungary and Poland in the fields of economics, finance, and business -- Circular kernel classification with errors-in-variables -- Classification Trees Applied to Time Lagged Data to Improve Quality in Official Statistics -- Trimmed factorial k-means a clustering application to a cookies dataset_Farné and Camillo -- Visualization of Proximity and Role-based Embeddings in a Regional Labour Flow Network -- Bridging the Gap Investigating Correlation Clustering and Manifold Learning Connections -- Improving Performance in Neural Networks by Dendrite-Activated Connection -- Regression models with compositional regressors in case of structural zeros -- Multi-Dimensional Robinson Dissimilarities -- Composite selection criteria for the number of components of a finite mixture for ordinal data -- Clustering of Italian higher education institutions based on a destination–specific approach -- Analyzing Italian crime data using matrix-variate hidden Markov models.

Sommario/riassunto

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2023), held in Salerno, Italy, September 11–13, 2023. The contributions span a variety of topics, including different approaches to clustering and classification, multidimensional data analysis, panel data, social networks, time series, statistical inference, and mixture models. These methodologies are applied to a range of empirical domains such as economics, finance, hydrology, the social sciences, education, and sports. Organized biennially by international scientific committees, the CLADAG meetings advance methodological research in multivariate statistics, with a strong focus on data analysis and classification. They facilitate the exchange of ideas in these fields and promote the dissemination of concepts, numerical methods, algorithms, and computational and applied results. Chapter "Identification of misogynistic accounts on Twitter through Graph Convolutional Networks" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.