Sentence examples for conditional process from inspiring English sources

In this paper we address the practice of mediation and moderation analysis using linear regression in the pages of Behaviour Research and Therapy and offer some observations and recommendations, debunk some popular myths, describe some new advances, and provide an example of mediation, moderation, and their integration as conditional process analysis using the PROCESS macro for SPSS and SAS.

Hayes, A. F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Guilford Press, New York, NY, 2013).

The main statistical procedure used was conditional process analysis (Hayes, 2013).

Table 3 Model coefficients for the conditional process model Antecedent Consequent M (Environmental concern) Y (Green apparel shopping) Coeff.

Results from conditional process analysis (Hayes, 2013) suggested that masculinity and femininity fully mediated the effects of entrepreneurs' biological sex on his/her business growth intentions.

Conditional Process analysis, as described above, was performed in a complete case sample of 6533 (62%) of the 10464 adolescents who were invited to participate in the study.

By a mathematical result called the Doob-Meyer theorem [14], each of these (random) counting processes can be decomposed into an integrated conditional intensity process (the signal) and a random process called a martingale (the noise).

Further, Baillie et al. (1996) and Bollerslev and Mikkelsen (1996) proposed the fractionally integrated GARCH (FIGARCH) model that encounters for the short-run dynamics of the conditional mean process modeled following ARMA process in the standard GARCH model.

Starting from the moment generating function of X under Open image in new window, and using the conditional density process in Lemma 4 and the dynamics of the short rate process in (26)–(27), we arrive at Open image in new window (29).

Proposed models differ in terms of both the dynamics of the conditional volatility process and the forecasting capabilities compared to a family of GARCH models.

This paper deals with E-optimal incomplete block designs in blocks of size three when observations within each block are correlated according to a conditional autonormal process.