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

VOLUME ONE: STATISTICAL FOUNDATIONS FOR THE ANALYSIS OF CONTINUOUS DATA - Methods of Statistics, Some New Methods of Measuring Variation in General Prices, Contributions to the Mathematical Theory of Evolution, 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, On the Theory of Correlation, Mathematical Contributions to the Theory of Evolution, On the Reconstruction of the Stature of Prehistoric Races, Probable Error of a Mean, On the Criterion of Goodnes -of-Fit of the Regression Lines and on the Best Methods of Fitting Them to the Data , Notes on the History of Correlation, On the 'Probable Error' of a Co-Efficient of Correlation Deduced from a Small Sample, The Goodness-of-Fit of Regression Formulae and the Distribution of Regression Co-Efficients, Applications of 'Students' Distribution, 

VOLUME TWO: BASIC PRINCIPLES FOR THE STATISTICAL MODELING OF CONTINUOUS DATA - Testing for Normality, A General Distribution Theory for a Class of Likelihood Criteria, A Method for Judging All Contrasts in the Analysis of Variance, An Analysis of Transformations, Issues in Multiple Regression, Generalized Linear Models, Quasi-Likelihood Functions, Generalized Linear Models and the Gauss-Newton Method, Comparison of Stopping Rules in forward 'Stepwise' Regression, Additive and Multiplicative Models and Interactions, Maximum Likelihood Estimation and Large-Sample Inference for Generalized Linear and Non-Linear Regression Models, Iteratively Reweighted Least Squares for Maximum Likelihood Estimation and Some Robust and Resistant Alternatives, Selection of Subsets of Regression Variables, A Fast Model Selection Procedure for Large Families of Models, Control of Leaf Expansion in Sunflower (Helianthus anuus L.) by Nitrogen Nutrition, Saccadic Eye Movements in Families Multiply Affected with Schizophrenia, The Maudsley Family Study, 

VOLUME THREE: MULTIVARIATE ANALYSES OF CONTINUOUS DATA - The Generalization of Student's Ratio, On the Generalized Distance in Statistics, Significance Test for Sphericity of a Normal n-Variate Distribution, Tests with Discriminant Functions in Multivariate Analysis, Sample Criteria for Testing Equality of Means, Equality of Variances and Equality of Co-Variances in a Normal Multivariate Distribution, An Extension of Box's Results on the Use of the F Distribution in Multivariate Analysis, Multivariate Analysis of Variance (MANOVA), Some Non-Central Distribution Problems in Multivariate Analysis, Asymptotic Theory for a Principal Component Analysis, A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems, Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis, The Analysis of Association among Many Variates, A General Maximum Likelihood Discriminant, On Some Invariant Criteria for Grouping Data, On the Non-Central Distributions of Two Test Criteria in a Multivariate Analysis of Variance, Estimating the Components of a Mixture of Normal Distributions, Huyhn Huynh and Leonard Feldt

Conditions under Which Mean -Square Ratios in Repeated Measurements Designs Have Exact F-Distributions, Canonical Analysis of Several Sets of Variables, 

VOLUME FOUR: STATISTICAL MODELING OF MULTIVARIATE CONTINUOUS DATA - Principles of Path Analysis, Contingencies in Constructing Causal Models, Unmeasured Variables in Linear Models for Panel Analysis, Comparative Robustness of Six Tests in Multivariate Analysis of Variance, Multivariate Analysis with Latent Variables, Significance Tests and Goodness-of- Fit in the Analysis of Covariance Structures, Analysis of Covariance Structures [with Discussion and Reply], Recent Developments in Structural Equation Modeling, Random-Effects Models for Longitudinal Data, Statistics and Causal Inference, Structural Equation Models in the Social and Behavioural Sciences, Linear Modeling with Clustered Observations, An Illustrative Example of Earnings in the Engineering Industry, Structural Equation Modeling in Practice, A Review and Recommended Two-Step Approach, Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data, Evaluation of Goodness-of-Fit Indices for Structural Equation Models, Testing for the Equivalence of Factor Covariance and Mean Structures, The Issue of Partial Measurement Invariance, On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models, Applications of Structural Equation Modeling in Psychological Research, Beyond Structural Equation Modeling:, General Latent Variable Modeling, Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models, Modeling Trajectories through the Educational System in North-West England