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Psychological Theories from a Structuralist Point of View
Metatheoretical and, more generally, methodological analyses of psychological problems and theories have a long tradition; however, their impact on scientific practice, especially on the clarification and testing of existing psychological theories and the formulation of new ones, has so far been less than spectacular. The increased interest in theoretical psychology visible during the past ten or twenty years is associated with the hope that a change of this situation will gradually be effected. Thus, in their preface to the proceedings of the founding conference of The International Society for Theoretical Psychology, Baker et al. (1987, pp. Vf)1 take up 2 once more the objectives of a theo...
Stochastic Models, Statistics and Their Applications
This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.
Analysis of an Intelligence Dataset
In this issue, psychometrics researchers were invited to make reanalyses or extensions of a previously published dataset from a recent paper by Myszkowski and Storme (2018). The dataset analyzed consisted of responses to a multiple-choice logical reasoning nonverbal test, comprising the last series of Raven’s (1941) Standard Progressive Matrices. Although the original paper already proposed several modeling strategies, this issue presents new or improved procedures to study the psychometrics properties of tests of this type.
Meta-analysis
Meta-analysis has become the standard method for summarizing research findings in many scientific fields. This book provides a comprehensive treatment and comparison of the statistical procedures available for meta-analysis with correlations as effect sizes.
mODa 9 – Advances in Model-Oriented Design and Analysis
Statisticians and experimentalists will find the latest trends in optimal experimental design research. Some papers are pioneering contributions, leading to new open research problems. It is a colection of peer reviewed papers.
An Introduction to Optimal Designs for Social and Biomedical Research
The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests. The objectives of a good design are to provide interpretable and accurate inference at minimal costs. Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions. This Book: Introduces optimal experimental design in an accessible format. Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce ...
Econometric Models in Marketing
In the 16th Edition of "Advances in Econometrics", we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing. Given the applied nature of marketing research, measurement and quantitative issues arise frequently. ...
Empirical Social Research
Social science methods such as surveys, observations and content analyses are used in market research, studies of contemporary history, urban planning and communication research. They are all the more needed by sociologists and empirically working political scientists. Whether in the context of evaluating a prevention programme or for surveying health behaviour or for a study on social mobility, the confident handling of the social science instruments is always a prerequisite for obtaining reliable results. This book provides important information for users and developers of these instruments. It deals with the theoretical foundations of the methods, the steps in the conception and implement...
Psychology Science
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Scalable Innovation
Innovation is a primary source of economic growth, and yet only one idea out of 3,000 becomes a successful product or service. Scalable Innovation: A Guide for Inventors, Entrepreneurs, and IP Professionals introduces a model for the innovation process, helping innovators to understand the nature and timing of opportunities and risks on the path to
