The concomitant proliferation of causal modeling and hypotheses of multiplicative effects has brought about a tremendous need for procedures that allow the testing of moderated structural equation models (MSEMs). The seminal work of Kenny and Judd and Hayduk has been drawn on by several authors in the past 10 years, thus producing procedures that allow for such tests. Yet, utilization of MSEMs ...

forecasting stock price had been paying attention to many analysts and stockholders. today, this issue more recent years has been do by new methods but new methods, good enough, not have analysis of description and changes effective variables on stock price whereas all this method rely on regression bases. ardl (autoregression distributed lag ) of one equation cumulative regression method obtai...

Predictive modeling is becoming more popular in psychological science. Machine learning techniques have been used to develop prediction rules based on items of tests. However, this approach does not take into account that these are noisy indicators the constructs they intend measure. Structural equation account. Several authors concluded it impossible make out-of-sample predictions a reflective...

Using census block groups data on socio-demographics, land use, and travel behavior, we test the cutoffs suggested in the literature for trustworthy estimates and hypothesis testing statistics, and evaluate the efficacy of deleting observations as an approach to improving multivariate normality, in structural equation modeling. The results show that the measures of univariate and multivariate n...

В работе предложен новый подход, который позволяет провести сравнительный анализ критериев проверки отклонения от нормального закона.Использование в качестве альтернативных гипотез серии распределений, последовательно сходящихся к нормальному закону, позволило ввести интервальную шкалу, по которой можно определить не только какой из сравниваемых лучше, но и насколько лучше. The paper proposes a...