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140524s2014 sz | s |||| 0|eng d |
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|a 9783319055367
|9 978-3-319-05536-7
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|a 10.1007/978-3-319-05536-7
|2 doi
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|a 300.727
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|a Stemmler, Mark.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Person-Centered Methods
|h [electronic resource] :
|b Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables /
|c by Mark Stemmler.
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|a 1st ed. 2014.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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300 |
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|a VIII, 88 p. 18 illus., 2 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Statistics,
|x 2191-5458
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|a Introducing Person-Centered Methods -- CFA Software -- Significance Testing in CFA -- CFA and Log-Linear Modeling -- Longitudinal CFA -- Other Person-Centered Methods Serving as Complimentary Tools to CFA -- CFA and its derivatives -- Glossary -- Index.
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|a This book takes an easy-to-understand look at the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. The main focus of the book will be on Configural Frequency Analysis (CFA; Lienert and Krauth, 1975) which is a statistical method that looks for over and under-frequented cells or patterns. Over frequented means that the observations in this cell or configuration are observed more often than expected, under-frequented means that this cell or configuration is observed less often than expected. In CFA a pattern or configuration that contains more observed cases than expected is called a type; similarly, a pattern or configuration that is less observed than expected are called an antitype. CFA is similar to log-linear modeling. In log-linear modeling the goal is to come up with a fitting model including all important variables. Instead of fitting a model, CFA looks at the significant residuals of a log-linear model. The book describes the use of an R-package called confreq (derived from Configural Frequency Analysis). The use of the software package is described and demonstrated with data examples.
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650 |
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|a Social sciences-Statistical methods.
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650 |
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|a Statistics .
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650 |
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|a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
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650 |
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|a Statistical Theory and Methods.
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650 |
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|a Statistics.
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783319055374
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776 |
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|i Printed edition:
|z 9783319055350
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830 |
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|a SpringerBriefs in Statistics,
|x 2191-5458
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-319-05536-7
|z Texto Completo
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912 |
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|a ZDB-2-SMA
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912 |
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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950 |
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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