A Linear Structural Equation Approach to Cross-Sectional Models with Lagged Variables

1981 ◽  
Vol 13 (12) ◽  
pp. 1529-1537 ◽  
Author(s):  
H Folmer ◽  
G A van der Knaap
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Point Of View ◽  
Equation Approach ◽  
Cross Sectional ◽  
Statistical Point ◽  
The Relationship

Lagged variables play an important role in cross-sectional models in geography and regional sciences. This paper starts with an overview of the situations in which they may be required. Lagged variables also pose serious problems from a statistical point of view: multicollinearity and the determination of the length of the lag. Some common approaches to these two problems are discussed and evaluated. As an alternative a linear structural equation approach is presented, where the lagged variables are compressed to latent variables in a measurement model. The relationship between the lagged variables, thus compressed, and the dependent variable is expressed in the structural model. Both the measurement model and the structural model are estimated simultaneously. The paper ends with an application. A model of urban immigration for the thirty-three largest Dutch cities is estimated.

Interactions Between Intensive Care and Palliative Care Are Influenced by Training, Professionals’ Perceptions and Institutional Barriers

2020 ◽  
pp. 082585972095136
Author(s):  
María Camila Calle ◽  
Sara Lucia Pareja ◽  
María Margarita Villa ◽  
Juan Pablo Román-Calderón ◽  
Mariantonia Lemos ◽  
...  
Keyword(s):  
Palliative Care ◽  
Intensive Care ◽  
Latent Variables ◽  
Structural Equation ◽  
Ad Hoc ◽  
Structural Model ◽  
Measurement Model ◽  
Perceived Barriers ◽  
Validity And Reliability ◽  
Institutional Barriers

Background: There is growing interest in the use of a Palliative care approach in Intensive care. However, it tends to remain inconsistent, infrequent or non-existent, as does its acceptance by intensive care physicians. This study sought to explore the perceptions, level of knowledge, perceived barriers, and practices of physicians regarding palliative care practices (PC) in Intensive Care Units (ICU). Methods: Descriptive-correlational study. Participating physicians working in ICU in Colombia (n = 101) completed an ad hoc questionnaire that included subscales of perceptions, knowledge, perceived barriers, and PC practices in ICU. A Structural Equation Model (PLS-SEM) was used to examine the reciprocal relationships between the measured variables and those that could predict interaction practices between the 2 specialties. Results: First, results from the measurement model to examine the validity and reliability of the latent variables found (PC training, favorable perceptions about PC, institutional barriers, and ICU-PC interaction practices) and their indicators were obtained. Second, the structural model found that, a greater number of hours of PC training, a favorable perception of PC and a lower perception of institutional barriers are related to greater interaction between PC and ICU, particularly when emotional or family problems are detected. Conclusions: PC-ICU interactions are influenced by training, a positive perception of PC and less perceived institutional barriers. An integrated ICU-PC model that strengthens the PC training of those who work in ICU and provides clearer guidelines for interaction practices, may help overcome perceived barriers and improve the perception of the potential impact of PC.

scholarly journals THE MEDIATING ROLE OF ETHICAL CLIMATE BETWEEN ORGANIZATIONAL JUSTICE AND STRESS: A CB-SEM ANALYSIS

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Fahad Albejaidi
Keyword(s):  
Data Analysis ◽  
Organizational Justice ◽  
Ethical Climate ◽  
Structural Model ◽  
Measurement Model ◽  
The Body ◽  
Mediating Effect ◽  
Healthcare Organizations ◽  
Cross Sectional ◽  
The Relationship

The aim of the current study was to investigate the mediating effect of an ethical climate on the relationship between organizational justice and workplace stress. The quantitative survey research design was used and cross-sectional data was collected. Structured questionnaires were distributed. The population of the study was nurses from the healthcare professionals working in the healthcare organizations in Qassim region. There are total of 5542 nurses working in different public and private healthcare organizations. Convenience sampling technique was used for selecting sample size. Total 510 completed questionnaires were collected back and used in the study for data analysis. For data analysis, AMOS-SEM was used. Measurement and structural models were developed and tested in the current study. Reliabilities and validities were investigated through the measurement model, while for hypotheses testing structural model was developed. Findings of the study indicated that the scale used in the study was found reliable and valid. Factor loadings, average variance extracted, and construct reliability met the threshold level/standard criteria. The structural model also revealed that ethical climate mediated the relationship between organizational justice and stress. This is the original work and contribution to the body of knowledge by extending the literature on justice, stress, and ethical climate. The presence of justice and ethical climate made it possible for employees to better manage their stress.

scholarly journals ANALISIS STRUCTURAL EQUATION MODELING (SEM) DENGAN MULTIPLE GROUP MENGGUNAKAN R

2019 ◽  
Vol 19 (2) ◽  
pp. 85
Author(s):  
Holipah Holipah ◽  
I Made Tirta ◽  
Dian Anggraeni
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Multiple Group ◽  
Indicator Variables ◽  
Group 2 ◽  
Homogeneous Data ◽  
Group 1

Structural Equation Model (SEM) is a statistical technique with simultaneous processing involves measurement errors, indicator variables, and latent variables. SEM is used to test hypotheses that state the relationships between latent variables when latent variables have been assessed through each of the indicator variables. Multiple Group SEM is a basic model analysis that uses more than one sample. This analysis aims to determine whether the components or models of measurement and structural models are invariant for the two sample groups. In this study, the data generated by some requirements. First, the data generated with sample size n = 250. The first generated data is homogeneous data where the measurement model is the same as the structural model in group 1 and group 2, while the second data is non-homogeneous data where the measurement model and the structural model in group 1 and group 2 is not the same. The data was analyzed using the help of the lavaan package available in R to obtain SEM estimation results and Goodness of Fit Model from some data that was formed. From the results of the merger of the two groups, it shows that the invariant of the two models with the largest df (63) which is Fit Mean model states the simplest model. However, the smallest df (48) with Fit.configural model states the most complex model. Keywords: SEM, Multiple Group, R Program

scholarly journals Facebook Addiction among Afghan University Students: A Structural Equation Modelling

2021 ◽  
pp. 1-9
Author(s):  
Hassan Rahnaward Ghulami ◽  
◽  
Abdul Sammad Roesh ◽  
Mohammad Reza Ibrahim ◽  
Mohammad Akbari ◽  
...  
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Descriptive Analysis ◽  
Measurement Model ◽  
Validity And Reliability ◽  
Policy Makers ◽  
Postgraduate Students ◽  
Adopted Model ◽  
Facebook Addiction ◽  
The Relationship

The current research intends to evaluate the validity and reliability of the adopted model-BFAS, and investigate relationship between the motives and Facebook addiction in Afghanistan. The adopted instrument were online distributed to undergraduate and postgraduate students and only 431 responded across the country to determine their intentions for using Facebook. The software of RStudio used for descriptive analysis and SEM-PLS approach was applied to hypothesis the relationship between the constructs. Results showed that the BFAS measures intensity of Facebook addiction, although measurement model was reliable and structural model has discriminate validity. Further, the results show that students use Facebook for communication, social interaction and entertainment, and these motives positively predicted Facebook addiction. Based on the results, authors believe that the Facebook addiction is a phenomenon that exists across the countries, and greater use of Facebook would tend to create problem of addiction. In sum up, this research would help parents, serves provider, policy makers, current Facebook users, and students to control their excessive use of Facebook.

scholarly journals Facebook Addiction among Afghan University Students: A Structural Equation Modelling

2021 ◽  
Vol 1 (2) ◽  
pp. 1-9
Author(s):  
Hassan Rahnaward Ghulami* ◽  
Sammad Roesh Abdul ◽  
Mohammad Reza Ibrahim ◽  
Akbari Mohammad ◽  
Hossein Mohammadi
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Descriptive Analysis ◽  
Measurement Model ◽  
Validity And Reliability ◽  
Policy Makers ◽  
Postgraduate Students ◽  
Adopted Model ◽  
Facebook Addiction ◽  
The Relationship

The current research intends to evaluate the validity and reliability of the adopted model-BFAS, and investigate relationship between the motives and Facebook addiction in Afghanistan. The adopted instrument were online distributed to undergraduate and postgraduate students and only 431 responded across the country to determine their intentions for using Facebook. The software of RStudio used for descriptive analysis and SEM-PLS approach was applied to hypothesis the relationship between the constructs. Results showed that the BFAS measures intensity of Facebook addiction, although measurement model was reliable and structural model has discriminate validity. Further, the results show that students use Facebook for communication, social interaction and entertainment, and these motives positively predicted Facebook addiction. Based on the results, authors believe that the Facebook addiction is a phenomenon that exists across the countries, and greater use of Facebook would tend to create problem of addiction. In sum up, this research would help parents, serves provider, policy makers, current Facebook users, and students to control their excessive use of Facebook.

scholarly journals Application of the fuzzy clusterwise generalized structured component method to evaluate implementation of national education standard in Indonesia

2021 ◽  
pp. 1379-1384 ◽  
Author(s):  
Susetyo Budi ◽  
Wahyuni Rezi
Keyword(s):  
Academic Performance ◽  
Latent Variables ◽  
Structural Model ◽  
Component Analysis ◽  
Measurement Model ◽  
Education Standards ◽  
National Education ◽  
Homogeneity Of Variance ◽  
The Relationship ◽  
Cluster 2

Results of school accreditation and national examinations are two indicators that are often used to describe the achievement of quality in education in Indonesia. ‘Accreditation’ reflects the fulfillment of 8 national education standards (NES), while the national exam (NE, or UN in Bahasa) for students describes academic performance. Eight NES and academic performance are latent variables. The relationship between the two variables and the validity of its indicators can be evaluated by several methods. Path analysis with latent variables can be obtained through general structured component analysis (GSCA) with the assumption of homogeneity of variance. Since the data are not homogeneous, this study aims to apply the fuzzy clusterwise generalized structured component analysis (FCGSCA) to evaluate the relationship between the NES and the UN, and the validity of the indicators. The results showed that there were two school clusters in Indonesia. The evaluation of the measurement model indicated that some indicators of the accreditation instrument were not valid, i.e., 6 indicators in cluster 1 and 15 indicators in cluster 2. The structural model evaluation of the two clusters indicated that standard of process to the UN was not significant. Based on the overall goodness of the fit model, the total diversities of all variables that could be explained were 61.60% in cluster 1 and 59.90% in cluster 2.

scholarly journals The Relationship between Self-esteem and Reading Motivation: Moroccan EFL University Students as a Case Study

2021 ◽  
Vol 4 (3) ◽  
pp. 42-53
Author(s):  
Abdelouahed Bouih ◽  
Driss Benattabou
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Reading Motivation ◽  
Measurement Model ◽  
Self Esteem ◽  
Equation Modeling ◽  
Significant Difference ◽  
The Relationship

This study aims primarily to investigate the relationship between Self-esteem (SE) and Reading Motivation (RM) among EFL university students in Morocco. Another aim of this research is to examine the role of gender in shaping this relationship. A questionnaire on SE, RM and socio-biographical data was completed by one hundred and eighty (N = 180) participants of undergraduate and graduate levels. Bivariate statistical analyses showed low significant correlational results using standardized summed scores of SE and RM. Moderately significant results have been observed based on SE and RM factors extracted using Principal Component Analysis (PCA) after both constructs were shown to have acceptable internal consistency. Using structural equation modeling (SEM), we evaluated a direct effect measurement model to investigate the unidirectional impact of SE on RM and its concordance with the structural model. Corresponding results revealed acceptable goodness-of-fit indexes indicating the validity of the structural model and demonstrating a positive effect of SE on RM. The examination of gender-based scores showed that there was no significant difference between males and females both in SE and RM.

Structural Equation Modeling in Special Education Research

1995 ◽  
Vol 16 (3) ◽  
pp. 178-183 ◽  
Author(s):  
Alan D. Moore
Keyword(s):  
Special Education ◽  
Education Research ◽  
Structural Equation Modeling ◽  
Experimental Research ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Multivariate Data ◽  
Measurement Model ◽  
Equation Modeling

Structural equation modeling is a method for analysis of multivariate data from both nonexperimental and experimental research. the method combines a structural model linking latent variables and a measurement model linking observed variables with latent variables. its use in special education research has been limited to date, but the approach offers promise as a method useful in theory-based research. a nontechnical introduction to the method and cautions concerning the limits of its use are presented.

scholarly journals Freeing the performer’s mind: A structural exploration of how mindfulness influences music performance anxiety, negative affect and self-consciousness among musicians

2017 ◽  
Author(s):  
Raquel Rodríguez-Carvajal ◽  
Oscar Lecuona ◽  
Luz-Sofía Vilte ◽  
Jennifer Moreno-Jiménez ◽  
Sara de Rivas
Keyword(s):  
Negative Affect ◽  
Structural Equation ◽  
Structural Model ◽  
Music Performance ◽  
Performance Anxiety ◽  
Equation Model ◽  
Dispositional Mindfulness ◽  
Cross Sectional ◽  
Music Performance Anxiety ◽  
The Relationship

Music performing usually binds intense psychological experiences, from which music performance anxiety (MPA) is amongst the most damaging and pervasive ones. Alongside, some constructs seem to be associated with MPA, like negative affect and self-consciousness. In the interaction between these three elements, mindfulness seems to be an effective tool to cope with MPA by altering the relationships between it and self-consciousness or negative affect. In this study, a structural model is proposed following a cross-sectional design with a total of 151 spanish-speaking music performers. Results from a structural equation model seems to support the proposed model, making dispositional mindfulness an effective mechanism to alter the way MPA interacts with self-consciousness and negative affect. More specifically, dispositional mindfulness seems to inversely mediate the relationship between negative affect and MPA, while also inversely moderating the relationship between self-consciousness and MPA. In other words, dispositional mindfulness seems to prevent how self-conscious music performers can be or how negative is their mood into developing career-damaging MPA phenomena. Limitation of these findings are discussed, alongside future lines of work to improve the likelihood of this conclusions.

scholarly journals PLS-based SEM Algorithms: The Good Neighbor Assumption, Collinearity, and Nonlinearity

2015 ◽  
Vol 7 (2) ◽  
pp. 113-130 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Systems Research ◽  
Inner Model ◽  
Good Neighbor

The partial least squares (PLS) method has been extensively used in information systems research, particularly in the context of PLS-based structural equation modeling (SEM). Nevertheless, our understanding of PLS algorithms and their properties is still progressing. With the goal of improving that understanding, we provide a discussion on the treatment of reflective and formative latent variables in the context of three main algorithms used in PLS-based SEM analyses –PLS regression, PLS Mode A, and PLS Mode B. Two illustrative examples based on actual data are presented. It is shown that the “good neighbor” assumption underlying modes A and B has several consequences, including the following: the inner model influences the outer model in a way that increases inner model coefficients of association and collinearity levels in tandem, and makes measurement model analysis tests dependent on structural model links; instances of Simpson’s paradox tend to occur with Mode B at the latent variable level; and nonlinearity is improperly captured. In spite of these mostly detrimental outcomes, it is argued that modes A and B may have important and yet unexplored roles to play in PLS-based structural equation modeling analyses.

Sign in / Sign up

Export Citation Format

Share Document