Latent Growth Modeling in IS Research: Basic Tenets, Illustration, and Practical Guidelines
نویسندگان
چکیده
This paper introduces Latent Growth Modeling (LGM) as a feasible method for analyzing longitudinal data to understand the process of change over time. Given the need to go beyond cross-sectional models, explore longitudinal Information Systems (IS) phenomena, and test IS theories over time, LGM is proposed as a complementary method to help IS researchers propose and evaluate time-centric hypotheses and make longitudinal inferences. The paper first describes the basic tenets of LGM and offers guidelines for using LGM in IS research, including framing hypotheses with time as a central component and implementing LGM models to test these hypotheses. The application of LGM in IS research is illustrated by modeling the longitudinal relationship between two IT variables (IT infrastructure and IT labor) and firm performance with 2001-2004 data from Fortune 1000 firms. Comparisons with other methods for analyzing longitudinal data reveal the advantages of LGM for studying time-dependent relationships and growth patterns.
منابع مشابه
Using PLS Path Modeling for Assessing Hierarchial Construct Models: Guidelines and Impirical Illustration
In this paper, the authors show that PLS path modeling can be used to assess a hierarchical construct model. They provide guidelines outlining four key steps to construct a hierCarol Saunders was the accepting senior editor for this paper. archical construct model using PLS path modeling. This approach is illustrated empirically using a reflective, fourthorder latent variable model of online ex...
متن کاملLatent Growth Modeling for Information Systems: Theoretical Extensions and Practical Applications
متن کامل
Finite mixture modeling with mixture outcomes using the EM algorithm.
This paper discusses the analysis of an extended finite mixture model where the latent classes corresponding to the mixture components for one set of observed variables influence a second set of observed variables. The research is motivated by a repeated measurement study using a random coefficient model to assess the influence of latent growth trajectory class membership on the probability of ...
متن کاملمدل معادلات ساختاری و کاربرد آن در مطالعات روانشناسی: یک مطالعه مروری
Introduction: Structural Equation Modeling (SEM) is a very general statistical modeling technique, which is widely used in the behavioral sciences. It can be viewed as a combination of path analysis, regression and factor analysis. One of the prominent features of this method is the ability to compute direct, indirect and total effects, as well as latent variable modeling. Methods: This sy...
متن کاملTechnical Efficiency of Nigerian Insurance Companies: A Data Envelopment Analysis and Latent Growth Curve Modelling Approach
The main purpose of this paper is to investigate the performance of Nigerian insurance companies using Data Envelopment Analysis (DEA). Because of the unavailability of the required data, the study is limited to ten Nigerian insurance companies for the period of five years from 2008 to 2012. The input employed were commission expenses and management expenses, while premium and investment income...
متن کامل