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K.G. Jöreskog: two papers
  • Language: en

K.G. Jöreskog: two papers

  • Type: Book
  • -
  • Published: 1973
  • -
  • Publisher: Unknown

None

Structural Equation Modeling
  • Language: en
  • Pages: 628
LISREL 8
  • Language: en
  • Pages: 260

LISREL 8

Simple examples - Mullti-sample examples - Path diagrams - Fitting and testing - Lisrel output - Simplis reference - Computer exercises.

Advances in Factor Analysis and Structural Equation Models
  • Language: en
  • Pages: 474

Advances in Factor Analysis and Structural Equation Models

  • Type: Book
  • -
  • Published: 1979
  • -
  • Publisher: Unknown

Advances in factor analysis; Structural equation models; New model forgroup comparisons.

LISREL 8
  • Language: en
  • Pages: 420

LISREL 8

None

LISREL VI
  • Language: en
  • Pages: 290

LISREL VI

  • Type: Book
  • -
  • Published: 1986
  • -
  • Publisher: Unknown

"This manual contains fifteen examples covering a wide range of typical LISREL models. The input and output for these models are discussed in detail. A number of computer exercises are also given" Preface

Structural equation models in the social sciences
  • Language: sv
  • Pages: 33

Structural equation models in the social sciences

  • Type: Book
  • -
  • Published: 1976
  • -
  • Publisher: Unknown

None

LISREL 7
  • Language: en
  • Pages: 376

LISREL 7

None

Statistical Estimation in Factor Analysis
  • Language: en
  • Pages: 154

Statistical Estimation in Factor Analysis

  • Type: Book
  • -
  • Published: 1963
  • -
  • Publisher: Unknown

Factor analysis is the common term of a number of statistical techniques for the resolution of a set of variables in terms of a small number of hypothetical variables, so-called factors. This resolution is accomplished by an analysis of the intercorrelation of the variables. Thus the principal aim is to attain scientific parsimony or economy of description.

Geological Factor Analysis
  • Language: en
  • Pages: 208

Geological Factor Analysis

Introduction; Basic mathematical and statistical concepts; Aim, ideas and models of factor analysis; R-mode methods; Q-mode methods; Steps in the analysis; Examples; References.