Propensity Score Analysis of Complex Survey Data with Structural Equation Modeling: A Tutorial with Mplus

2018 ◽  
Vol 26 (3) ◽  
pp. 448-469 ◽  
Author(s):  
Walter L. Leite ◽  
Laura M. Stapleton ◽  
Elizabeth F. Bettini
Keyword(s):  
Structural Equation Modeling ◽  
Propensity Score ◽  
Survey Data ◽  
Structural Equation ◽  
Propensity Score Analysis ◽  
Equation Modeling ◽  
Complex Survey ◽  
Complex Survey Data ◽  
Score Analysis

Fostering Product Innovation Through Digital Transformation and Absorptive Capacity

2020 ◽  
Vol 17 (06) ◽  
pp. 2050040
Author(s):  
Alejandro Coronado-Medina ◽  
Jose Arias-Pérez ◽  
Geovanny Perdomo-Charry
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Absorptive Capacity ◽  
Product Innovation ◽  
Structural Equation ◽  
Digital Transformation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Relationship

This paper analyzes the mediating effect of absorptive capacity (AC) on the relationship between digital transformation from e-business capabilities (EBC) perspective and product innovation (PI). Structural equation modeling (SEM) was carried out with the survey data from a sample of firms that belong mainly to highly digitalized sectors. The results indicate the existence of a full mediation, which means knowledge derived from the digital operation of the business can only result in PI if AC plays an intermediation role. Hence, this finding calls into question the idea that digitalization alone and automatically acts as a PI driver.

scholarly journals Pengaruh Proses Pelaporan Dan Penyetoran Pajak Serta Kepuasan Dan Kepatuhan Dalam Wajib Pajak Pribadi Kabupaten Sleman Terhadap Ketahanan Ekonomi Wilayah

2018 ◽  
Vol 24 (3) ◽  
pp. 354
Author(s):  
Diki Ferdiana ◽  
Ayu Chairina Laksmi
Keyword(s):  
Structural Equation Modeling ◽  
Computer Program ◽  
Survey Data ◽  
Empirical Research ◽  
Structural Equation ◽  
Equation Modeling ◽  
Economic Resilience ◽  
Descriptive Method

ABSTRACT This study examinedthe influence of the process of reporting and depositing taxes as well as satisfaction and compliance in personal taxpayers in Sleman regency against economic resilience. The purpose of this study was to analyzed the influence of the process of reporting and depositing taxes and taxpayer compliance and compliance with economic resilience.This research was an empirical research by taking samples of taxpayers in Sleman District. Survey data were analyzed statistically using descriptive method and Structural Equation Modeling (SEM) with the help of computer program AMOS v22. The results showed that the process of reporting and depositing taxes and satisfaction and compliance in taxpayershad posistive influence, which had a significant impact on the economic resilience of the region. This could be said as a form of economic resilience of the region which was the basis of national resilienceABSTRAK Penelitian ini mengkaji tentang pengaruh proses pelaporan dan penyetoran pajak serta kepuasan dan kepatuhan dalam wajib pajak pribadi di Kabupaten Sleman terhadap ketahanan ekonomi. Tujuan penelitian ini untuk menganalisis pengaruh proses pelaporan dan penyetoran pajak serta kepuasan dan kepatuhan wajib pajak terhadap ketahanan ekonomi.Penelitian ini merupakan penelitian empiris dengan mengambil sampel para wajib pajak di Kabupaten Sleman. Data survei dianalisis secara statistik menggunakan metode deskriptif dan Structural Equation Modeling (SEM) dengan bantuan program komputer AMOS v22.Hasil penelitian menunjukkan bahwa proses pelaporan dan penyetoran pajak serta kepuasan dan kepatuhan dalam wajib pajak berpengaruh posistif, yang berdampak signifikan terhadap ketahanan ekonomi wilayah. Hal ini dapat dikatakan sebagai wujud dari ketahanan ekonomi wilayah yang merupakan dasar dari ketahanan nasional. 

scholarly journals Analyzing factorial survey data with structural equation models

2021 ◽  
pp. 004912412110431
Author(s):  
Bert Weijters ◽  
Eldad Davidov ◽  
Hans Baumgartner
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Structural Equation ◽  
Multilevel Models ◽  
Structural Equation Models ◽  
Social Science Research ◽  
Science Research ◽  
Equation Modeling ◽  
Factorial Survey ◽  
Modeling Framework

In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different attributes by participants to arrive at an overall response to the vignettes. In the current paper, we explain how data from factorial surveys can be analyzed in a structural equation modeling framework using an approach called structural equation modeling for within-subject experiments. We review the use of factorial surveys in social science research, discuss typically used methods to analyze factorial survey data, introduce the structural equation modeling for within-subject experiments approach, and present an empirical illustration of the proposed method. We conclude by describing several extensions, providing some practical recommendations, and discussing potential limitations.

Relationship between women’s characteristics and continuum of care for maternal health in Kenya: Complex survey analysis using structural equation modeling

2016 ◽  
Vol 57 (8) ◽  
pp. 942-961 ◽  
Author(s):  
Patrick Opiyo Owili ◽  
Miriam Adoyo Muga ◽  
Yiing-Jenq Chou ◽  
Yi-Hsin Elsa Hsu ◽  
Nicole Huang ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Maternal Health ◽  
Structural Equation ◽  
Continuum Of Care ◽  
Equation Modeling ◽  
Survey Analysis ◽  
Complex Survey

The impact of brand logo identification and brand logo benefit on Indonesian consumers’ relationship quality

2015 ◽  
Vol 7 (3) ◽  
pp. 237-252 ◽  
Author(s):  
Arnold Japutra ◽  
Keni Keni ◽  
Bang Nguyen
Keyword(s):  
Structural Equation Modeling ◽  
Empirical Study ◽  
Relationship Quality ◽  
Survey Data ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this paper is to examine the relationships between brand logo identification and brand logo benefit on Indonesian consumers’ relationship quality. Design/methodology/approach – This study utilizes survey data in Indonesia and structural equation modeling. In total, 282 participants responded to the survey. Findings – Brand logo benefit predicts all three relationship quality constructs, whereas brand logo identification only predicts satisfaction and trust. Out of the two, brand logo benefit is a better predictor of satisfaction, trust, and commitment. Originality/value – This is a first empirical study to examine brand logo identification and brand logo benefit on Indonesian consumer’s relationship quality. In addition, this is the first study to investigate the link between brand logo benefit with satisfaction and trust.

The moderating effect of self-efficacy on the antecedents of online satisfaction with an electronic document exchange system

2009 ◽  
Vol 37 (2) ◽  
pp. 239-253 ◽  
Author(s):  
Chyi-Lu Jang
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Self Efficacy ◽  
Structural Equation ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Electronic Document ◽  
Public Employees ◽  
Exchange System ◽  
Modeling Analysis

This study was aimed at testing the moderating effect of self-efficacy on antecedents to online satisfaction using the Electronic Document Exchange System (EDES). Based on survey data gained from 374 public employees, Structural Equation Modeling analysis was employed to assess the differences between high and low self-efficacy respondents. It was found that antecedents to online satisfaction differ between high and low self-efficacy respondents. Using this information, organizations could develop and provide differentiated versions and services of EDES to high and low self-efficacy users.

scholarly journals It’s all about balance: propensity score matching in the context of complex survey data

Biostatistics ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 147-163 ◽  
Author(s):  
David Lenis ◽  
Trang Quynh Nguyen ◽  
Nianbo Dong ◽  
Elizabeth A Stuart
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Survey Data ◽  
Complex Survey ◽  
Complex Survey Data

scholarly journals Does Supply Chain Analytics Enhance Supply Chain Innovation and Robustness Capability?

Organizacija ◽  
2019 ◽  
Vol 52 (2) ◽  
pp. 95-106 ◽  
Author(s):  
Mohamed Dawood Shamout
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Survey Data ◽  
Structural Equation ◽  
Design Methods ◽  
Equation Modeling ◽  
Line Managers ◽  
Knowledge Based

Abstract Background and purpose: Little are known about the nature of the interaction between supply chain analytics, supply chain innovation and robustness capability. The purpose of this paper is to examine the effectiveness of supply chain analytics in enhancing firms supply chain innovation and robustness capability in the Arabian context. Design/Methods: Using knowledge-based view and survey data from line managers in supply and logistics departments, the present study uses variance-based structural equation modeling (PLS-SEM) to diagnose the association between supply chain analytics, supply chain innovation and robustness capability. Findings: Results suggest that supply chain analytics exerted significant impact on supply chain innovation and not on robustness capability. It appears that supply chain innovation exerted a significant impact on robustness capability, in doing so, supply chain innovation mediates the link supply chain analytics and robustness capability. Conclusion: The outcome of this study points to the importance of supply chain analytics as a functional tool for supply chain and/or logistic routes stability and success. The paper concludes supply chain analytics can help managers have access timely and useful data for greater innovation; and that supply chain innovation is reliant not only on data, but also on firms’ analytic capabilities.

Sign in / Sign up

Export Citation Format

Share Document