Latent class analysis (LCA) has been found to have important applications in social and behavioral sciences for modeling categorical response variables, and nonresponse is typical when collecting data. In this study, the nonresponse mainly included “contingency questions” and real “missing data.” The primary objective of this research was to evaluate the effects of some potential factors on model selection indices in LCA with nonresponse data.
We simulated missing data with contingency questions and evaluated the accuracy rates of eight information criteria for selecting the correct models. The results showed that the main factors are latent class proportions, conditional probabilities, sample size, the number of items, the missing data rate, and the contingency data rate. Interactions of the conditional probabilities with class proportions, sample size, and the number of items are also significant. From our simulation results, the impact of missing data and contingency questions can be amended by increasing the sample size or the number of items. 相似文献
The standard deviation of the average run length (SDARL) is an important performance metric in studying the performance of control charts with estimated in-control parameters. Only a few studies in the literature, however, have considered this measure when evaluating control chart performance. The current study aims at comparing the in-control performance of three phase II simple linear profile monitoring approaches; namely, those of Kang and Albin (2000), Kim et al. (2003), and Mahmoud et al. (2010). The comparison is performed under the assumption of estimated parameters using the SDARL metric. In general, the simulation results of the current study show that the method of Kim et al. (2003) has better overall statistical performance than the competing methods in terms of SDARL values. Some of the recommended approaches based solely on the usual average run length properties can have poor SDARL performance. 相似文献
ABSTRACTThe phenomenon of immigration has been studied from diverse perspectives. It is important to note that immigration is common during times of crisis. The reason for the avalanche of immigrants to the Canary Islands (Spain) is because it is the gateway to Europe, and therefore, immigrants wanted to enter from this point. This research is based on the need to linguistically determine the treatment of the phenomenon of immigration in the Spanish press. This analysis is relevant given the arrival of thousands of foreign citizens to the coast of the Canary Islands, first in 2006 and almost a decade later, in 2015 to the south of Europe in another great population movement. This research attempts to study four Spanish newspapers, two from the Canary Islands (El Día and Canarias 7) and two Spanish mainland national newspapers (El País and ABC), the online version of the newspapers and their websites were analyzed beside one of the most important social networks, Twitter. The role of incorporating social networks to immigration discourse is also analyzed. To support the data analysis of this research, the Iramuteq software was used. 相似文献