# Statistical Analysis of Continuous Data

Four Volume Set

**Edited by:**

- Roger Penn - Queen's University Belfast, UK
- Damon Berridge - University of Lancaster, UK

1 800 pages | SAGE Publications Ltd

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

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VOLUME ONE: STATISTICAL FOUNDATIONS FOR THE ANALYSIS OF CONTINUOUS DATA

F. Edgeworth

Methods of Statistics

F. Edgeworth

Some New Methods of Measuring Variation in General Prices

Karl Pearson

Contributions to the Mathematical Theory of Evolution

Regression, Heredity and Panmixia

G. Udny Yule

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

Karl Pearson

Mathematical Contributions to the Theory of Evolution

On the Reconstruction of the Stature of Prehistoric Races

L. Gossett ('Student')

Probable Error of a Mean

E. Slutsky

On the Criterion of Goodnes -of-Fit of the Regression Lines and on the Best Methods of Fitting Them to the Data

Karl Pearson

Notes on the History of Correlation

R.A. Fisher

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

A. Fisher

Applications of 'Students' Distribution

VOLUME TWO: BASIC PRINCIPLES FOR THE STATISTICAL MODELING OF CONTINUOUS DATA

R. Geary

Testing for Normality

G. Box

A General Distribution Theory for a Class of Likelihood Criteria

Henry Scheffe

A Method for Judging All Contrasts in the Analysis of Variance

G. Box and D. Cox

An Analysis of Transformations

Robert Gordon

Issues in Multiple Regression

J. Nelder and R. Wedderburn

Generalized Linear Models

R. Wedderburn

Quasi-Likelihood Functions, Generalized Linear Models and the Gauss-Newton Method

Robert Bendall and A. Afifi

Comparison of Stopping Rules in forward 'Stepwise' Regression

J. Darroch and T. Speed

Additive and Multiplicative Models and Interactions

Bent Jorgensen

Maximum Likelihood Estimation and Large-Sample Inference for Generalized Linear and Non-Linear Regression Models

P. Green

Iteratively Reweighted Least Squares for Maximum Likelihood Estimation and Some Robust and Resistant Alternatives

Alan Miller

Selection of Subsets of Regression Variables

D. Edwards and T. Havranek

A Fast Model Selection Procedure for Large Families of Models

S. Palmer et al

Control of Leaf Expansion in Sunflower (Helianthus anuus L.) by Nitrogen Nutrition

T Crawford et al

Saccadic Eye Movements in Families Multiply Affected with Schizophrenia

The Maudsley Family Study

VOLUME THREE: MULTIVARIATE ANALYSES OF CONTINUOUS DATA

Harold Hotelling

The Generalization of Student's Ratio

P. Mahalanobis

On the Generalized Distance in Statistics

John Mauchly

Significance Test for Sphericity of a Normal n-Variate Distribution

Radhakrishna Rao

Tests with Discriminant Functions in Multivariate Analysis

S. Wilks

Sample Criteria for Testing Equality of Means, Equality of Variances and Equality of Co-Variances in a Normal Multivariate Distribution

Seymour Geisser and Samuel Greenhouse

An Extension of Box's Results on the Use of the F Distribution in Multivariate Analysis

H. Smith et al

Multivariate Analysis of Variance (MANOVA)

A. Constantine

Some Non-Central Distribution Problems in Multivariate Analysis

T. Anderson

Asymptotic Theory for a Principal Component Analysis

Richard Potthoff and S. Roy

A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems

J. Gower

Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis

E. Williams

The Analysis of Association among Many Variates

N. Day and D. Kerridge

A General Maximum Likelihood Discriminant

H. Friedman and J. Rubin

On Some Invariant Criteria for Grouping Data

C. Khatri and K. Pillai

On the Non-Central Distributions of Two Test Criteria in a Multivariate Analysis of Variance

N. Day

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

J. Kettenring

Canonical Analysis of Several Sets of Variables

VOLUME FOUR: STATISTICAL MODELING OF MULTIVARIATE CONTINUOUS DATA

Kenneth Land

Principles of Path Analysis

Otis Dudley Duncan

Contingencies in Constructing Causal Models

Otis Dudley Duncan

Unmeasured Variables in Linear Models for Panel Analysis

Chester Olson

Comparative Robustness of Six Tests in Multivariate Analysis of Variance

P. Bentler

Multivariate Analysis with Latent Variables

Causal Modeling

P. Bentler and Douglas Bonett

Significance Tests and Goodness-of- Fit in the Analysis of Covariance Structures

Karl Joreskog et al

Analysis of Covariance Structures [with Discussion and Reply]

Karl Joreskog and Dag Sörbom

Recent Developments in Structural Equation Modeling

Nan Laird and James Ware

Random-Effects Models for Longitudinal Data

Paul Holland

Statistics and Causal Inference

James Anderson

Structural Equation Models in the Social and Behavioural Sciences

Model-Building

R. Davies et al

Linear Modeling with Clustered Observations

An Illustrative Example of Earnings in the Engineering Industry

James Anderson and David Gerbing

Structural Equation Modeling in Practice

A Review and Recommended Two-Step Approach

Mary Lindstrom and Douglas Bates

Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data

Stanley Mulaik et al

Evaluation of Goodness-of-Fit Indices for Structural Equation Models

Barbara Byrne et al

Testing for the Equivalence of Factor Covariance and Mean Structures

The Issue of Partial Measurement Invariance

Nanny Wermuth and Steffen Lilholt Lauritzen

On Substantive Research Hypotheses, Conditional Independence Graphs and Graphical Chain Models

Robert MacCallum and James Austin

Applications of Structural Equation Modeling in Psychological Research

Bengt Muthen

Beyond Structural Equation Modeling:

General Latent Variable Modeling

Ke-Hai Yuan and Peter Bentler

Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models

Roger Penn and Damon Berridge

Modeling Trajectories through the Educational System in North-West England