Among them, the general cross-lagged panel model (GCLM) is the most recent development as a variant of the cross-lagged panel model (CLPM), while the random-intercept CLPM (RI-CLPM) has rapidly become a popular approach. In this article, we describe how common factors and cross-lagged ...
This paper proposes simple tests of error cross-sectional dependence which are applicable to a variety of panel data models, including stationary and unit root dynamic heterogeneous panels with shortTand largeN. The proposed tests are based on the average of pair-wise correlation coefficients of the...
Both suggested an association between loneliness and depression, but each used different combinations of items to measure loneliness and different statistical approaches (2 year cross-lagged panel analysis versus mean differences in depression score). Both Cacioppo et al. [45] and Cacioppo et ...
The order of integration of the factors is also treated as unknown, as is the order of integration of the regressors, which means that there is no need to pre-test for unit roots, or to decide on which deterministic terms to include in the model. 2 1 Introduction The use of panel ...
decrease in sales. We describe a model of cost behavior in which sticky costs may occur because managers deliberately adjust the resources committed to an activity. 1. Introduction 1 Understanding cost behavior is essential to cost and management accounting. In the classical model of cost behavior ...
Here, we present BITE (the BIotic disTurbance Engine), a general model to simulate biotic disturbances in forest ecosystems. Our objective was to develop a modeling framework that is general enough to simulate a wide range of biotic disturbance agents, from fungi to insects and large mammals. Fu...
3.3.5. Neural Network Auto-Regressive model Neural Network Auto-Regressive model (NNAR) is also a type of artificial neural network (ANN) which allows the modelling of complex non-linear relationships between input and output variables but uses lagged values of the current series as inputs for...
On the Differences between General Cross-Lagged Panel Model and Random-Intercept Cross-Lagged Panel Model: Interpretation of Cross-Lagged Parameters and Model Choicedoi:10.1080/10705511.2020.1821690Satoshi UsamiRoutledge
From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM)doi:10.1177/1094428119847278Michael J. ZyphurPaul D. AllisonLouis TayManuel C. VoelkleKristopher J. PreacherZhen ZhangEllen L. HamakerAli ShamsollahiDean C. Pierides...
Houkes I , YHWM Winants and M Twellaar ( 2008 ) Specific determinants of burnout among male and female general practitioners: A cross-lagged panel analysis . Journal of Occupational and Organizational Psychology 81 ( 2 ), 249 – 276 ....