The Learning Curve Equation (Classic Reprint): A Dissertation Submitted to the Faculty, of the Graduate School of Arts and Literature in Candidacy for the Degree of Doctor of Philosophy - Couverture souple

Louis Leon Thurstone

Couverture souple

ISBN 10 : 1330595351 ISBN 13 : 9781330595350

Editeur : Forgotten Books, 2018

Synopsis

Unlock the math behind how we learn. This study lays out a practical approach to analyzing learning data with statistics, and explains how to model progress using the learning curve equation.

The work surveys methods for treating learning data, discusses the meaning of correlation, and shows how to interpret and apply empirical equations to real-world tasks. It also delves into the popular learning-curve form, examines its limitations, and demonstrates its use with a typewriter-learning example. The discussion emphasizes balancing measurement certainty with statistical clarity, and warns against overreliance on crude scores when study conditions vary.

• Learn how correlation and partial correlation help separate true relationships from confounding factors.


• Explore the hyperbolic speed-amount curve and how it informs predictions of practice limits.


• See how to fit empirical equations to data, check for initial acceleration, and interpret the implications for learning research.


• Understand practical steps for designing experiments that yield meaningful learning curves under varying conditions.

Ideal for readers of psychology, statistics, and education who want a clear, method‑driven view of how learning curves are derived and applied.

A propos du livre

Présentation de l'éditeur

This book was originally published prior to 1923, and represents a reproduction of an important historical work, maintaining the same format as the original work. While some publishers have opted to apply OCR (optical character recognition) technology to the process, we believe this leads to sub-optimal results (frequent typographical errors, strange characters and confusing formatting) and does not adequately preserve the historical character of the original artifact. We believe this work is culturally important in its original archival form. While we strive to adequately clean and digitally enhance the original work, there are occasionally instances where imperfections such as blurred or missing pages, poor pictures or errant marks may have been introduced due to either the quality of the original work or the scanning process itself. Despite these occasional imperfections, we have brought it back into print as part of our ongoing global book preservation commitment, providing customers with access to the best possible historical reprints. We appreciate your understanding of these occasional imperfections, and sincerely hope you enjoy seeing the book in a format as close as possible to that intended by the original publisher.

Détails de l'édition

• Éditeur: Forgotten Books
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 1330595351
• ISBN 13: 9781330595350
• Reliure: Broché
• Nombre de pages: 58
• Coordonnées du fabricant: Copytech (UK) Ltd, Trading as Printondemand-worldwide.com; gpsr@podww.com; ; 9 Culley Court; Orton Southgate; Peterborough; Cambridgeshire; PE2 6WA; Royaume-Uni
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