## Configural Frequency Analysis: Methods, Models, and ApplicationsConfigural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. Step-by-step program sequences are used to show readers how to employ CFA methods using commercial software packages, such as SAS, SPSS, SYSTAT, S-Plus, or those written specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data. It allows one to answer the question of whether individual cells or groups of cells of cross-classifications differ significantly from expectations. The expectations are calculated using methods employed in log-linear modeling or a priori information. It is the only statistical method that allows one to make statements about empty areas in the data space. Applied and or person-oriented researchers, statisticians, and advanced students interested in CFA and categorical and longitudinal data will find this book to be a valuable resource. Developed since 1969, this method is now used by a large number of researchers around the world in a variety of disciplines, including psychology, education, medicine, and sociology. Configural Frequency Analysis will serve as an excellent text for courses on configural frequency analysis, categorical variable analysis, or analysis of contingency tables. Prerequisites include an understanding of descriptive statistics, hypothesis testing, statistical model fitting, and some understanding of categorical data analysis and matrix algebra. |

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### Contents

Models and Applications of CFA | 105 |

Methods of Longitudinal CFA | 203 |

The CFA Specialty File and Alternative Approaches to CFA | 279 |

Computational Issues | 361 |

References Appendices and Indices | 401 |

### Other editions - View all

Configural Frequency Analysis: Methods, Models, and Applications Alexander von Eye Limited preview - 2003 |

Configural Frequency Analysis: Methods, Models, and Applications Alexander von Eye No preview available - 2002 |

Configural Frequency Analysis: Methods, Models, and Applications Alexander von Eye No preview available - 2002 |

### Common terms and phrases

analysis analyze approximation binomial test Bonferroni Bonferroni-adjusted CFA base model classiﬁcation coefﬁcient column Consider constituted by Conﬁguration continuity correction correlation covariates criterion variables cross-classiﬁcation Data example deﬁned describes design matrix discrimination type displays distribution estimated expected cell expected cell frequencies ﬁle ﬁrst differences ﬁrst order CFA ﬁve Frequencies Statistics Frequencies Test statistics Gender global CFA groups of variables identiﬁed indicates interpreted Krauth Lehmacher's Lienert log-linear modeling main effect model methods multinomial null hypothesis observed expected observed frequencies P-CFA parameters patient perform polynomial Prediction CFA priori probabilities probability is smaller procedure reﬂect relationships researchers respondents results in Table S-plus sampling scheme saturated model scores second order CFA Section signiﬁcance tests signiﬁcantly Speciﬁcally structural zeros suggest symptoms SYSTAT tail probability Tanner stage Test statistics Type three variables two-sample CFA types and antitypes types or antitypes vector von Eye z-test zero order CFA