Mark Stemmler's Person-Centered Methods: Configural Frequency Analysis (CFA) PDF
By Mark Stemmler
This e-book takes an easy-to-understand examine the statistical strategy known as the person-centered approach. rather than interpreting capability, variances and covariances of scale ratings as within the universal variable-centered technique, the person-centered strategy analyzes folks or items grouped in response to their attribute styles or configurations in contingency tables. the main target of the booklet should be on Configural Frequency research (CFA; Lienert and Krauth, 1975) that's a statistical strategy that appears for over and under-frequented cells or styles. Over frequented implies that the observations during this phone or configuration are saw extra usually than anticipated, under-frequented implies that this telephone or configuration is saw much less usually than anticipated. In CFA a development or configuration that comprises extra saw circumstances than anticipated is termed a type; equally, a trend or configuration that's much less saw than anticipated are referred to as an antitype. CFA is identical to log-linear modeling. In log-linear modeling the aim is to return up with a becoming version together with all very important variables. rather than becoming a version, CFA appears on the major residuals of a log-linear model.
The e-book describes using an R-package referred to as confreq (derived from Configural Frequency Analysis). using the software program package deal is defined and tested with info examples.
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Extra info for Person-Centered Methods: Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables
2 Hierarchical Log-Linear Modeling Let us look at examples with three or more variables. The data is taken from Krauth and Lienert (1973). There are two groups of depressed subjects (‘−’ = recovered from minor depression due to treatment; ‘+’ = still suffering from depression while under treatment). Both groups were tested with a temperament scale that consists of three subscales: I = Introversion versus Extraversion (high scores represent Introversion; low scores Extraversion), R = Rigidity (high scores represent rigidity; low scores represent non-rigidity), and V = Vitality (high scores represent high vitality; low scores represent low vitality).
K /nd . 10) References 23 The probability p˜ is estimated by p˜ = (ni... − 1)(n. j.. − 1) . . k − 1)/nd . , it is a progressive test). It is true that |χ 2 | < |z| < |zL |. This test statistic is not available in the R-package. 7 Küchenhoff’s Continuity Correction of Lehmacher’s Asymptotic Test This test is not available in confreq. ” In order to avoid overly-liberal test results while using Lehmacher’s asymptotic test, Küchenhoff suggested using Lehmacher’s test together with the Yates’ continuity correction .
Log-lineare Modelle zur multivariaten Analyse qualitativer Daten [Loglinear models and the multivariate analysis of qualitative data]. München, Germany: R. Oldenbourg Verlag. , & Thöle, U. (2003). Classification and explanation of life conceptions using the case of the 14th Shell Youth Study 2002. Psychology Science, 45(2), 263–279. Rindskopf, D. (1990). Nonstandard log-linear models. Psychological Bulletin, 108(1), 150–162. 50 4 CFA and Log-Linear Modeling Stemmler, M. (1994). A nonparametrical evaluation of ANOVA and MANOVA designs usign interaction structure analysis.
Person-Centered Methods: Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables by Mark Stemmler