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A mathematical analysis of multi-level verbal learning. psychology series [microform] / William H. Batchelder
Bib ID 5188458
Format BookBook, MicroformMicroform, OnlineOnline
Author
Batchelder, William H
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1966 
166 p. 
Summary

Research is reported here concerning the assumption that items in a list mutually affect each other in verbal list-learning. The author considers both the mode of the data analysis and the method of s-r (stimulus response) presentation for a number of restricted theoretical assumptions involving item interactions in s-r list-learning experiments. In succeeding chapters--(1) an analysis is made of how best to use data in list-learning experiments so as to bear on a psychological theory or evaluate a model--(2) a model is presented to indicate how inferences can be made by considering a fixed model on various levels of data analysis and in various experimental settings ("all-or-none multi-level model")--(3) a mathematically rigorous framework is developed for analyzing a large class of models which embody item dependencies--(4) this framework is applied to specific models (including the "all-or-none model") and results for various presentation schedules are presented to illustrate the flexibility of the framework. Also analyzed in terms of the framework are markov models derived for a particular choice of presentation schedule, and restle's strategy-selection theory. The final chapter reports on two list-learning experiments conducted by the author to generate data relevant to these ideas and methods of analyses. (jd)

Notes

Contract Number: OEC-6-14-009.

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Associative Learning.  |  Educational Psychology.  |  Learning Processes.  |  Learning Theories.  |  Mathematical Models.  |  Paired Associate Learning.  |  Psychology.  |  Psychometrics.  |  Recall (Psychology)  |  Research Methodology.  |  Time Factors (Learning)  |  Verbal Learning.  |  Markov Processes
Other authors/contributors Stanford Univ., CA. Inst. for Mathematical Studies in Social Science
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