A5070225279- Health disparities and outcomes
- Customer Service Quality and Loyalty
- Quality and Supply Management
- Business Strategy and Innovation
- Outsourcing and Supply Chain Management
- Spatial and Panel Data Analysis
- Advanced Causal Inference Techniques
- Advanced Text Analysis Techniques
- Global Health Care Issues
- Product Development and Customization
- Climate Change Policy and Economics
- Language, Metaphor, and Cognition
- Intergenerational and Educational Inequality Studies
- Evolutionary Psychology and Human Behavior
- Consumer Behavior in Brand Consumption and Identification
- Psychological Well-being and Life Satisfaction
CY Cergy Paris Université
2019-2021
École Supérieure des Sciences Économiques et Commerciales
2019-2021
The University of Melbourne
2021
Islamic Azad University, Science and Research Branch
2014
This is the first paper in a series of two that synthesizes, compares, and extends methods for causal inference with longitudinal panel data structural equation modeling (SEM) framework. Starting cross-lagged approach, this builds general model (GCLM) parameters to account stable factors while increasing range dynamic processes can be modeled. We illustrate GCLM by examining relationship between national income subjective well-being (SWB), showing how examine hypotheses about short-run (via...
This article compares a general cross-lagged model (GCLM) to other panel data methods based on their coherence with causal logic and pragmatic concerns regarding modeled dynamics hypothesis testing. We examine three “static” models that do not incorporate temporal dynamics: random- fixed-effects estimate contemporaneous relationships; latent curve models. then describe “dynamic” in the form of lagged effects: estimated structural equation (SEM) or multilevel (MLM) framework; Arellano-Bond...
Cross-lagged panel models (CLPMs) are common, but their applications often focus on “short-run” effects among temporally proximal observations. This addresses questions about how dynamic systems may immediately respond to interventions, fails show evolve over longer timeframes. We explore three types of “long-run” in that extend recent work “impulse responses,” which reflect potential long-run one-time interventions. Going beyond these, we first treat evaluations system (in)stability by...
The authors draw on the sociological theories of “liability newness” and adolescence” to generate new insights into relationship evolution. First, they show how a in its “honeymoon” phase exhibits unique constellation two conditions, namely information asymmetry forbearance. Next, explain evolves along processes that involve passive learning decay, respectively. In themselves, these will move toward long-term “transactional” state possibly termination, but can also be actively shaped using...
This study extends prior research on brand naming by comparing recall for five types of words in various involvement and processing conditions. Experimental findings show that the differences are higher when there is semantic than sensory processing. Involvement not significant hence provides no advantage name recall. Several interactions among word information also observed extend marketing branding. More specifically, results showed different pattern between which was academic literature....
This .zip file contains all online appendices, Mplus program input and output, R code, as well other files relevant to the paper Long-Run Effects in Dynamic Systems: New Tools for Cross-Lagged Panel Models, published Organizational Research Methods.