By Alexander von Eye PhD, Patrick Mair, Eun-Young Mun PhD
Utilizing real-world information examples, this authoritative booklet exhibits easy methods to use the most recent configural frequency research (CFA) recommendations to investigate express info. a few of the suggestions are offered right here for the 1st time. not like equipment that target relationships between variables, resembling log-linear modeling, CFA permits researchers to guage adjustments and alter at the extent of person cells in a desk. Illustrated are how one can determine and try for mobilephone configurations which are both constant with or opposite to hypothesized styles (the forms and antitypes of CFA); keep watch over for strength covariates that may effect saw effects; enhance cutting edge prediction types; deal with questions of moderation and mediation; and research in depth longitudinal facts. The publication additionally describes unfastened software program purposes for executing CFA. (20110302)
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Extra resources for Advances in Configural Frequency Analysis (Methodology In The Social Sciences)
For two raters, the model can be formulated as the log-frequency model log mˆ = λ + λA + λB + δij ξ, where δij is the vector that contains the weights, the subscripts ij are used to indicate that these weights are placed on the agreement cells, and ξ is Configural Analysis of Rater Agreement 29 the parameter that is estimated for this vector. This model can be adapted for the case of more than two raters (von Eye & Mun, 2005). Schuster (2001) showed that the expression exp(2ξ) has a simple odds-ratio interpretation that reflects the degree of agreement.
18 ADVANCES IN CONFIGURAL FREQUENCY ANALYSIS The Null Hypothesis in CFA: In CFA, individual cells are examined. ˆ r. For Cell r, a test is performed under the null hypothesis H0 : E[mr ] = m This null hypothesis states that Cell r does not constitute a type or an antitype. If, however, Cell r constitutes a CFA type, the null hypothesis is rejected because (using the binomial test for an example) BN,πr (mr − 1) ≥ 1 − α, or, in words, the cell contains more cases than expected. If Cell r constitutes a CFA antitype, the null hypothesis is rejected because (again using the binomial test) BN,πr (mr ) ≤ α.
1 Rater Agreement CFA So far, exploratory applications of CFA scouted cross-classifications with the goal of finding types and antitypes, with no constraints concerning the location in the table on which to focus. CFA of rater agreement can proceed in a different way. In agreement tables, particular cells indicate agreement, and other cells indicate disagreement. CFA of rater agreement can focus on either or both (von Eye & Mun, 2005, 2006). 1. Agreement Table of Two Raters’ Judgments 1 Rater A Rating Categories 1 2 3 m11 m21 m31 Rater B Rating Categories 2 3 m12 m22 m32 m13 m23 m33 3 to judge objects.
Advances in Configural Frequency Analysis (Methodology In The Social Sciences) by Alexander von Eye PhD, Patrick Mair, Eun-Young Mun PhD