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• W2116814842 abstract "Egocentered networks are common in social science research. Here, the unit of analysis is a respondent (ego) together with his/her personal network (alters). Usually, several variables are used to describe the relationship between egos and alters. In this paper, the aim is to estimate the reliability and validity of the averages of these measures by the multitrait–multimethod (MTMM) approach. This approach usually requires at least three repeated measurements (methods) of the same variable (trait) for model identification. This places a considerable burden on the respondent and increases the cost of data collection. In this paper, we use a split ballot MTMM experimental design, proposed by Saris (1999), in which separate groups of respondents get different combinations of just two methods. The design can also be regarded as having a planned missing data structure. The maximum likelihood estimation is used in the manner suggested by Allison (1987) of a confirmatory factor analysis model for MTMM-designs specified in Saris and Andrews (1991). This procedure is applied to social support data collected in the city of Ljubljana (Slovenia) in the year 2000." @default.
• W2116814842 created "2016-06-24" @default.
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• W2116814842 date "2002-01-01" @default.
• W2116814842 modified "2023-10-17" @default.
• W2116814842 title "Estimating the reliability and validity of personal support measures: full information ML estimation with planned incomplete data" @default.
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• W2116814842 doi "https://doi.org/10.1016/s0378-8733(01)00047-8" @default.
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