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Applied Factor Analysis in the Natural Sciences

This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide;

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Applied Multivariate Research

serves students in applied programs in the social and behavioral sciences. Readers are encouraged to focus on design and interpretation rather;

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An Easy Guide to Factor Analysis

Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor;

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Mathematics Applied to Deterministic Problems in the Natural Sciences

Addresses the construction, analysis, and intepretation of mathematical models that shed light on significant problems in the physical;

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Applied Univariate, Bivariate, & Multivariate Stat istics

AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND NATURAL SCIENCES This revised and updated second edition;

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Correlation And Regression Analysis

It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression;

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The Changing Image of the Sciences

natural sciences are applied? How can it be connected to the phenomenon of the low number of women in science? It is of interest to researchers;

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Applied Multivariate Research

behavioral sciences are exposed to the complex multivariate statistical techniques such as correlation and multiple regression, exploratory factor;

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Statistical Data Analysis Explained

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This;

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Factor Analysis

This book is written primarily as a text for a course in factor analysis at the advanced undergraduate or graduate level. It is most;

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Factor Analysis at 100

Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a;

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Factor Analysis at 100

Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a;

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Factor Analysis and Related Methods

. This book clarifies the concepts of factor analysis for students or professionals in the social sciences who wish to know the technique, rather;

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Revealed Sciences

in Europe. Offering an innovative analysis of the relationship between religious thought and the natural sciences, Justin K. Stearns shows how;

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Exploratory Factor Analysis

A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory;

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open;

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Applied Compositional Data Analysis

students from applied fields like geochemistry, chemometrics, biology and natural sciences, economics, and social sciences, all the proposed;

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Fungal Genomics

applied research in agriculture, food sciences, natural resource management, pharmaceuticals, and biotechnology, as well as to basic studies;

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Exploratory Factor Analysis

contexts is whether the structure of associations that underlies the data is accounted for by a latent construct. Exploratory factor analysis is a;

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Factor Separation In The Atmosphere

intensive undertaking. One of the main difficulties is that there are a huge number of factors that need to be taken into account, some of which are;

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Factor Analysis

Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific;

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Applied Multivariate Analysis

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;

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Applied Multivariate Statistics for the Social Sciences

This revised edition of the text has been updated with such changes as: coverage of both exploratory and confirmatory factor analysis plus;

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python - A Beginner's Guide to Advanced Data Analysis

graduate students in the social, behavioral, and natural sciences, Applied Univariate, Bivariate, and Multivariate Statistics Using Python will;

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Contemporary Psychometrics

relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The;

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Contemporary Psychometrics

relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The;

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Remote Sensing Applications in Environmental and Earth System Sciences

the types of data that can be used as well as the image processing and analysis methods that can be applied to each type of application;

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