![]() |
![]() |
Your cart is empty |
||
Showing 1 - 4 of 4 matches in All Departments
Inferencing is defined as 'the act of deriving logical conclusions from premises known or assumed to be true', and it is one of the most important processes necessary for successful comprehension during reading. This volume features contributions by distinguished researchers in cognitive psychology, educational psychology, and neuroscience on topics central to our understanding of the inferential process during reading. The chapters cover aspects of inferencing that range from the fundamental bottom-up processes that form the basis for an inference to occur, to the more strategic processes that transpire when a reader is engaged in literary understanding of a text. Basic activation mechanisms, word-level inferencing, methodological considerations, inference validation, causal inferencing, emotion, development of inferences processes as a skill, embodiment, contributions from neuroscience, and applications to naturalistic text are all covered as well as expository text, online learning materials, and literary immersion.
During the last 20 years, there has been an enormous amount of
research examining sources of coherence in reading. A major tenet
of this work has been the distinction between two major sources of
coherence. "Text-based" sources of coherence are contained within
the text itself -- use of headings to indicate aspects of a text's
macrostructure; "reader-based" sources of coherence encompass the
information and strategies that the reader brings to the
comprehension process. Many early models of reading comprehension
emphasized text-based sources of coherence as a way of
understanding how a representation of the text is constructed in
memory. However, during the last decade, there has been a clear
shift of theoretical perspective away from viewing reading
comprehension as a process of representing a text to viewing
comprehension as a process of representing what a text is about.
This has led to a greater emphasis on reader-based sources of
coherence. The purpose of this book is to bring together the large
body of evidence addressing the roles of text-based and
reader-based sources of coherence in reading comprehension. The
contributors present the current state of cognitive theory and
research on comprehension of discourse.
Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition:
Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers."
Inferencing is defined as 'the act of deriving logical conclusions from premises known or assumed to be true', and it is one of the most important processes necessary for successful comprehension during reading. This volume features contributions by distinguished researchers in cognitive psychology, educational psychology, and neuroscience on topics central to our understanding of the inferential process during reading. The chapters cover aspects of inferencing that range from the fundamental bottom-up processes that form the basis for an inference to occur, to the more strategic processes that transpire when a reader is engaged in literary understanding of a text. Basic activation mechanisms, word-level inferencing, methodological considerations, inference validation, causal inferencing, emotion, development of inferences processes as a skill, embodiment, contributions from neuroscience, and applications to naturalistic text are all covered as well as expository text, online learning materials, and literary immersion.
|
![]() ![]() You may like...
Stochastic Processes and Operator…
U. Franz, Rene Schott
Hardcover
Numerical Solution of Stochastic…
Peter E. Kloeden, Eckhard Platen
Hardcover
R4,015
Discovery Miles 40 150
Decolonising The University
Gurminder K Bhambra, Dalia Gebrial, …
Paperback
![]()
The Big Con - How The Consulting…
Mariana Mazzucato, Rosie Collington
Paperback
|