Statistical Analysis of Continuous Data (Sage Benchmarks in Social Research Methods)

Statistical Analysis of Continuous Data (Sage Benchmarks in Social Research Methods)

By: Roger Penn (editor), Dr. Damon Berridge (editor)Hardback

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Description

This new four-volume collection tracks the development of statistical methods for continuous, or interval-scale data. Examples of such data occurring in the social sciences include indicators of educational attainment (for example, GCSE scores) and psychometric measures of intelligence. Framed by a new contextualising introduction, the volumes are organised thematically, covering key areas to enable a well-rounded and comprehensive understanding of the discipline: Volume One: Statistical Foundations for the Analysis of Continuous Data Volume Two: Basic Principles for the Statistical Modelling of Continuous Data Volume Three: Multivariate Analyses of Continuous Data Volume Four: Statistical Modelling of Multivariate Continuous Data

About Author

Roger Penn is Professor of Sociology, Queen's University, Belfast. Currently, he is Visiting Research Professor at the International Center of Research in International Management (ICRIM), Universita Cattolica del Sacro Cuore, Milan. Previously, he was Professor of Economic Sociology and Statistics at Lancaster University and Visiting Professor at the University of Bologna, the University of California, Los Angeles (UCLA) and the University of California, Berkeley. He is the author of 14 books, including Children of International Migrants in Europe (Palgrave Macmillan 2009), Social Statistics: 4 Volume Edited Series (SAGE, 2010) and The Statistical Analysis of Continuous Data: 4 Volume Edited Series (SAGE, 2013), and the author of 150 refereed journal articles in economic sociology, quantitative methods, and the sociology of football. He has authored five earlier SAGE Case studies in Research Methods and has worked as a tutor for the MBA at the Open University.

Contents

VOLUME ONE: STATISTICAL FOUNDATIONS FOR THE ANALYSIS OF CONTINUOUS DATA Methods of Statistics - F. Edgeworth Some New Methods of Measuring Variation in General Prices - F. Edgeworth Contributions to the Mathematical Theory of Evolution - Karl Pearson Regression, Heredity and Panmixia Notes on the History of Pauperism in England and Wales from 1850, Treated by the Method of Frequency-Curves, with an Introduction on the Method - G. Udny Yule On the Theory of Correlation - G. Udny Yule Mathematical Contributions to the Theory of Evolution - Karl Pearson On the Reconstruction of the Stature of Prehistoric Races Probable Error of a Mean - L. Gossett ('Student') On the Criterion of Goodnes -of-Fit of the Regression Lines and on the Best Methods of Fitting Them to the Data - E. Slutsky Notes on the History of Correlation - Karl Pearson On the 'Probable Error' of a Co-Efficient of Correlation Deduced from a Small Sample - R.A. Fisher The Goodness-of-Fit of Regression Formulae and the Distribution of Regression Co-Efficients - R.A. Fisher Applications of 'Students' Distribution - A. Fisher VOLUME TWO: BASIC PRINCIPLES FOR THE STATISTICAL MODELING OF CONTINUOUS DATA Testing for Normality - R. Geary A General Distribution Theory for a Class of Likelihood Criteria - G. Box A Method for Judging All Contrasts in the Analysis of Variance - Henry Scheffe An Analysis of Transformations - G. Box and D. Cox Issues in Multiple Regression - Robert Gordon Generalized Linear Models - J. Nelder and R. Wedderburn Quasi-Likelihood Functions, Generalized Linear Models and the Gauss-Newton Method - R. Wedderburn Comparison of Stopping Rules in forward 'Stepwise' Regression - Robert Bendall and A. Afifi Additive and Multiplicative Models and Interactions - J. Darroch and T. Speed Maximum Likelihood Estimation and Large-Sample Inference for Generalized Linear and Non-Linear Regression Models - Bent Jorgensen Iteratively Reweighted Least Squares for Maximum Likelihood Estimation and Some Robust and Resistant Alternatives - P. Green Selection of Subsets of Regression Variables - Alan Miller A Fast Model Selection Procedure for Large Families of Models - D. Edwards and T. Havranek Control of Leaf Expansion in Sunflower (Helianthus anuus L.) by Nitrogen Nutrition - S. Palmer et al Saccadic Eye Movements in Families Multiply Affected with Schizophrenia - T Crawford et al The Maudsley Family Study VOLUME THREE: MULTIVARIATE ANALYSES OF CONTINUOUS DATA The Generalization of Student's Ratio - Harold Hotelling On the Generalized Distance in Statistics - P. Mahalanobis Significance Test for Sphericity of a Normal n-Variate Distribution - John Mauchly Tests with Discriminant Functions in Multivariate Analysis - Radhakrishna Rao Sample Criteria for Testing Equality of Means, Equality of Variances and Equality of Co-Variances in a Normal Multivariate Distribution - S. Wilks An Extension of Box's Results on the Use of the F Distribution in Multivariate Analysis - Seymour Geisser and Samuel Greenhouse Multivariate Analysis of Variance (MANOVA) - H. Smith et al Some Non-Central Distribution Problems in Multivariate Analysis - A. Constantine Asymptotic Theory for a Principal Component Analysis - T. Anderson A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems - Richard Potthoff and S. Roy Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis - J. Gower The Analysis of Association among Many Variates - E. Williams A General Maximum Likelihood Discriminant - N. Day and D. Kerridge On Some Invariant Criteria for Grouping Data - H. Friedman and J. Rubin On the Non-Central Distributions of Two Test Criteria in a Multivariate Analysis of Variance - C. Khatri and K. Pillai Estimating the Components of a Mixture of Normal Distributions - N. Day Conditions under Which Mean -Square Ratios in Repeated Measurements Designs Have Exact F-Distributions - Huyhn Huynh and Leonard Feldt Canonical Analysis of Several Sets of Variables - J. Kettenring VOLUME FOUR: STATISTICAL MODELING OF MULTIVARIATE CONTINUOUS DATA Principles of Path Analysis - Kenneth Land Contingencies in Constructing Causal Models - Otis Dudley Duncan Unmeasured Variables in Linear Models for Panel Analysis - Otis Dudley Duncan Comparative Robustness of Six Tests in Multivariate Analysis of Variance - Chester Olson Multivariate Analysis with Latent Variables - P. Bentler Causal Modeling Significance Tests and Goodness-of- Fit in the Analysis of Covariance Structures - P. Bentler and Douglas Bonett Analysis of Covariance Structures [with Discussion and Reply] - Karl Joreskog et al Recent Developments in Structural Equation Modeling - Karl Joreskog and Dag Soerbom Random-Effects Models for Longitudinal Data - Nan Laird and James Ware Statistics and Causal Inference - Paul Holland Structural Equation Models in the Social and Behavioural Sciences - James Anderson Model-Building Linear Modeling with Clustered Observations - R. Davies et al An Illustrative Example of Earnings in the Engineering Industry Structural Equation Modeling in Practice - James Anderson and David Gerbing A Review and Recommended Two-Step Approach Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data - Mary Lindstrom and Douglas Bates Evaluation of Goodness-of-Fit Indices for Structural Equation Models - Stanley Mulaik et al Testing for the Equivalence of Factor Covariance and Mean Structures - Barbara Byrne et al The Issue of Partial Measurement Invariance On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models - Nanny Wermuth and Steffen Lilholt Lauritzen Applications of Structural Equation Modeling in Psychological Research - Robert MacCallum and James Austin Beyond Structural Equation Modeling: - Bengt Muthen General Latent Variable Modeling Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models - Ke-Hai Yuan and Peter Bentler Modeling Trajectories through the Educational System in North-West England - Roger Penn and Damon Berridge

Product Details

  • ISBN13: 9781446248690
  • Format: Hardback
  • Number Of Pages: 1800
  • ID: 9781446248690
  • weight: 3360
  • ISBN10: 1446248690

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