scholarly journals Specifying Location-Scale Models for Heterogeneous Variances as Multilevel SEMs

2020 ◽  
pp. 109442812091308 ◽  
Author(s):  
Daniel McNeish
Keyword(s):  
Random Effects ◽  
Repeated Measures ◽  
Structural Equation ◽  
Multilevel Models ◽  
Equation Model ◽  
Scale Model ◽  
General Version ◽  
Cross Sectional ◽  
Mixed Effect ◽  
The Mean

Standard multilevel models focus on variables that predict the mean while the within-group variability is largely treated as a nuisance. Recent work has shown the advantage of including predictors for both the mean (the location submodel) and the variability (the scale submodel) within a single model. Constrained versions of the model can be fit in standard mixed effect model software, but the most general version with random effects in each of the location and scale submodels has been noted for being difficult to fit and estimate in software. However, the latest release of Mplus includes new capabilities that facilitate fitting the general version of the model as a multilevel structural equation model (SEM). This article introduces the general form of the model that includes location and scale random effects (called the location-scale model) and notes how it can be envisioned as a multilevel SEM. We provide a tutorial with example analyses and Mplus code for the model with two-level cross-sectional data and three-level repeated measures data and discuss how such a model has potential to extend recent developments in organizational science.

scholarly journals Specifying Location–Scale Models for Heterogeneous Variances as Multilevel SEMs

2020 ◽  
Author(s):  
Daniel McNeish
Keyword(s):  
Random Effects ◽  
Repeated Measures ◽  
Multilevel Models ◽  
Scale Model ◽  
General Version ◽  
Cross Sectional ◽  
Mixed Effect ◽  
Recent Developments ◽  
Multilevel Sem ◽  
The Mean

Standard multilevel models focus on variables that predict the mean while the within-group variability is largely treated as a nuisance. Recent work has shown the advantage of including predictors for both the mean (the location submodel) and the variability (the scale submodel) within a single model. Constrained versions of the model can be fit in standard mixed effect model software, but the most general version with random effects in each of the location and scale submodels has been noted for being difficult to fit and estimate in software. However, the latest release of Mplus includes new capabilities that facilitate fitting the general version of the model as a multilevel SEM. This paper introduces the general form of the model that includes location and scale random effects (called the location-scale model) and notes how it can be envisioned as a multilevel SEM. We provide a tutorial with example analyses and Mplus code for the model with two-level cross-sectional data and three-level repeated measures data and discuss how such a model has potential to extend recent developments in organizational science.

Upaya Preventif, Mutu, Kepuasan Dan Loyalitas Ibu Hamil Terhadap Minat Kunjungan Ulang di Klinik Abdi Persada Banjarmasin

2019 ◽  
Vol 2 (1) ◽  
pp. 69-84
Author(s):  
Nur Cahyani Ari Lestari
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Cross Sectional

Upaya preventif dalam kesehatan dan peningkatan mutu pelayanan merupakan salah satu ukuran dari kepuasan pasien dan loyalitas pasien yang mempengaruhi keinginan pasien untuk melakukan kunjungan ulang kembali terhadap penyedia jasa layanan kesehatan tersebut. Penelitian ini bertujuan untuk mengetahui pengaruh langsung maupun tidak langsung serta besaran antara upaya preventif, mutu pelayanan kepuasaan dan loyalitas ibu hamil terhadap minat kunjungan ulang ibu hamil di Klinik Abdi Persada Banjarmasin Tahun 2018. Penelitian ini, menggunakan metode cross sectional. Populasinya adalah ibu hamil yang memeriksakan kehamilannya di Klinik Abdi Persada Banjarmasin. Sampel penelitian ini berjumlah 90 orang ibu hamil. Penelitian ini menggunakan metode analisis Structural Equation Model menggunakan Smart PLS 2.0 dan SPSS 18. Hasil pengujian hipotesis dengan Structural Equation Model (SEM) dengan metode smartPLS menghasilkan temuan penelitian yaitu upaya preventif (24,56%), mutu pelayanan (26,89%), kepuasan (8,13%) dan loyalitas (38,33%). Loyalitas ibu hamil merupakan faktor dominan yang mempengaruhi minat kunjungan ulang ibu hamil di Klinik Abdi Persada Banjarmasin. Model - Model hasil analisis dapat menjelaskan 99,9% keragaman data dan mampu mengkaji fenomena yang dipakai dalam penelitian, sedangkan 0,1% dijelaskan komponen lain yang tidak ada dalam penelitian ini. Dapat disimpulkan bahwa terdapat pengaruh antara upaya preventif, mutu pelayanan, kepuasan dan loyalitas tehadap minat kunjungan ulang ibu hamil. Sarannya sebagai masukkan untuk lebih meningkatkan pelayanan kepada ibu hamil dalam pemeriksaan kehamilannya sehingga memberikan kepuasan ibu hamil agar dapat berkunjung kembali. Kata Kunci: Preventif, Mutu Pelayanan, Kepuasaan, Loyalitas, Kunjungan Ulang

An Explanatory Model of Problematic Internet Use of Southern Spanish University Students

2021 ◽  
pp. 089443932199865
Author(s):  
José-María Romero-Rodríguez ◽  
José-Antonio Marín-Marín ◽  
Francisco-Javier Hinojo-Lucena ◽  
Gerardo Gómez-García
Keyword(s):  
University Students ◽  
Undergraduate Students ◽  
Internet Addiction ◽  
Structural Equation ◽  
Internet Use ◽  
Sociodemographic Factors ◽  
Equation Model ◽  
Problematic Internet Use ◽  
Moderate Degree ◽  
Cross Sectional

The problematic Internet use (PIU) has become a topic of special relevance since it is a problem that affects the whole world. It has been detected that the population at greatest risk is university students along with adolescents. At the same time, Spain is one of the countries with the highest PIU rate. The purposes of this article were to analyze the presence and degree of Internet addiction among university students and to check the sociodemographic factors that influence the PIU. To this end, 13 hypotheses were put forward and contrasted using a structural equation model. The study adopted a cross-sectional approach by applying the Internet addiction test to a sample of undergraduate students in southern Spain ( n = 1,013). The results indicated a prevalence of PIU among students of almost 12.5% and with a moderate degree of addiction. In turn, the following hypotheses that had a significant effect on the PIU were supported: gender; field of knowledge; living in the parents’ home; Internet daily use for leisure; Internet daily use for academic purposes; number of social networks; sexual orientation; marital status. Finally, the main findings of the study were reviewed, and the main recommendations and implications for mitigating the negative effects of technology and enhancing the positive ones were established.

Examining the boundaries of journalism in the digital age : a SEM test of digital transitions in newsrooms

2017 ◽  
Author(s):  
◽  
Yanfang Wu
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Business Models ◽  
Equation Model ◽  
Sem Analysis ◽  
Media Industry ◽  
Cross Sectional ◽  
News Organizations ◽  
Use Of Social Media

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] The debate about boundaries in journalism amid the rise of citizen journalism, the crisis of business models in the news industry and the use of social media in the news-gathering and dissemination process, has become a central focus in the media industry and academia. There is no doubt that the digital transition is a trend. Based on the Carlson's (2015) boundaries of journalism theory and Shoemaker and Vos' (2009) levels of analysis in the gatekeeping theory, administering a cross-sectional, self-administered questionnaire, national online survey (N=1063), conducting a Structural Equation Model (SEM) analysis, the study seeks to find out the relationships between socialization and perceptions of digital impact on journalism, journalists and news organizations. The findings showed news organizations' social media culture affects journalists' use of social media. Twitter interactivity mediates journalists' social media internalization and their attitude toward social media. However, this mediating effects does not apply to Facebook and other social media interactivity. The distinguishing line between reporters and editors is blurring in news organizations. Older journalists (age>40) are picking up social media as additional journalistic tools and developing a positive attitude toward them. However, there still may be a long way to go before old journalists become experts in social media.

scholarly journals Love Hurts: The Influence of Social Relations on Exercise Self-Efficacy for Older Adults with Osteoarthritis

2008 ◽  
Vol 16 (4) ◽  
pp. 465-483 ◽  
Author(s):  
Kelly A. Cotter ◽  
Aurora M. Sherman
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Relations ◽  
Self Efficacy ◽  
Structural Equation ◽  
Physical Activity Behavior ◽  
Well Being ◽  
Equation Model ◽  
Cross Sectional ◽  
Social Strain

Exercise self-efficacy is a powerful predictor of physical activity behavior, which enhances health and well-being for older adults. Social relations have been proposed as influential precursors for exercise self-efficacy. In a longitudinal study of 160 older adults with osteoarthritis (76.9% women), the authors found that social support (but not social strain) significantly predicted exercise self-efficacy in a structural equation model examining cross-sectional data: χ2(178, N = 160) = 264.57, p < .01; RMSEA = .06; CFI = .92; TLI = .90. When data were examined longitudinally, however, social strain (but not social support) significantly predicted lower exercise self-efficacy 1 year later: χ2(233, N = 160) = 288.64, p < .01; RMSEA = .04; CFI = .96; TLI = .95. Results support the negativity effect, suggesting that social strain might be the more potent aspect of social relations and should be the target of interventions.

scholarly journals Cyberchondria severity and quality of life among Lebanese adults: the mediating role of fear of COVID-19, depression, anxiety, stress and obsessive–compulsive behavior—a structural equation model approach

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Clara Rahme ◽  
Marwan Akel ◽  
Sahar Obeid ◽  
Souheil Hallit
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Equation Model ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Obsessive Compulsive ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Compulsive Disorder

Abstract Background This study highlights the significant association between cyberchondria and quality of life among the Lebanese population in the time of COVID-19. The aim was to assess the association between cyberchondria and quality of life (QOL) of Lebanese community during the COVID-19 pandemic and assess the mediating effect of fear of COVID-19, depression, anxiety, stress and Yale-Brown Obsessive–Compulsive Scale in this association. Methods This cross-sectional study was carried out between December 2020 and January 2021, during the COVID-19 pandemic. A total of 449 persons participated in this study by filling the online questionnaire. Structural equation modeling (SEM) was performed to examine the structural relationship between cyberchondria severity, the mediator (anxiety, stress, depression, obsessive–compulsive disorder (OCD) and fear of COVID-19) and physical/mental QOL. Results Having a university level of education and older age were significantly associated with higher physical QOL scores, whereas higher obsession-compulsion disorder, higher stress and higher anxiety were significantly associated with lower physical QOL scores. Higher anxiety was significantly associated with lower mental QOL scores. The results of the SEM showed that stress, fear of COVID-19 and to a lesser limit OCD, mediated the association between cyberchondria severity and physical QOL, whereas anxiety, stress and fear of COVID-19 mediated the association between cyberchondria severity and mental QOL. Conclusion This research reported interesting results encouraging more exploration of cyberchondria and its association with quality of life during this unique period of the pandemic. However, this virus has altered the lives of individuals all across the world, and the consequences will last for a long time. Along with all of the steps done to stop the development of COVID-19 and improve physical outcomes, mental health requires immediate care. More research is needed to determine the coping techniques people are employing to deal with the pandemic.

scholarly journals Factors Affecting University Students’ Perspectives on Cyberbullying Factors Affecting

2021 ◽  
Vol 11 (2) ◽  
pp. 257-264
Author(s):  
Ayşe TAŞTEKİN OUYABA
Keyword(s):  
Health Behaviors ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Health Sciences ◽  
Equation Model ◽  
Cyber Victimization ◽  
Chi Square ◽  
Cross Sectional ◽  
Behavioral Skills ◽  
Factors Affecting

This research is a cross-sectional study. It was conducted with 340 students studying at the Faculty of Health Sciences of the Afyonkarahisar Health Sciences University. Data were collected through a questionnaire. T-test, Mann Whitney U, and Chi-square test were used to compare the sociodemographic and internet usage characteristics of the students according to their gender. Data were evaluated with Structural Equation Model. Being a woman is associated with better motivation (β: = -.20, p = 0.000) and health behaviors (β= -.22, p = 0.000). High motivation is associated with better behavioral skills (β= .15, p = 0.005) and better health behaviors (β= .28, p = 0.000). Better health behaviors indicate a decrease in cyber victimization (β= -.11, p = 0.042). It was observed that female students’ sensitivity towards preventing and preventing cyberbullying was higher than male students. Students with a high level of motivation have better behavioral skills and health behaviors. Students with better behavioral skills and health behaviors were less exposed to cyber victimization.

scholarly journals Modelo predictor de las conductas del balance energético corporal BEC (Predict model of the body energy balance BEB behaviors)

Retos ◽  
2021 ◽  
Vol 41 ◽  
pp. 653-663
Author(s):  
Andrés Gómez-Acosta ◽  
Constanza Londoño
Keyword(s):  
Energy Balance ◽  
Health Beliefs ◽  
Structural Equation ◽  
Contextual Factors ◽  
Equation Model ◽  
The Body ◽  
Sociocultural Factors ◽  
P Value ◽  
Cross Sectional ◽  
Body Energy

Hace falta evidencia acerca de la sinergia entre los factores psicológicos y contextuales que subyacen a la práctica simultánea de las conductas del balance energético corporal [BEC] (actividad física [AF], alimentación saludable [AS] y sueño de calidad [SC]). Por ello, se busca identificar si el optimismo disposicional [OD], flexibilidad en regulación emocional [RE], las creencias compensatorias en salud [CCS] y factores ambientales – socioculturales, predicen los dominios conductuales señalados en adultos, a través de un Modelo de Ecuaciones Estructurales [MEE]. Para ello, se dispuso de una investigación explicativa trasversal con una muestra de 300 participantes, que diligenciaron un cuadernillo compuesto por instrumentos psicométricos validados (uno por cada variable indagada). Los resultados establecieron que la tendencia a la realización de las conductas el BEC es predicha por los factores contextuales referidos y las variables psicológicas evaluadas (R=.54, valor p < .05). Se valida un modelo hipotético que incorpora el agregado conductual del sueño en la ecuación del BEC, susceptible de modificación e inclusión de nuevas variables.  Abstract. There is a lack of evidence about the synergy between the psychological and contextual factors that underlie the simultaneous practice of the behavioral domains of the Body Energy Balance [BEB] (Physical Activity [PA], Healthy Eating [HE] & Quality Sleep [QS]). Therefore, we seek to identify whether dispositional optimism [DO], emotion regulation [ER] flexibility, compensatory health beliefs [CHB], and environmental-sociocultural factors, predict behaviors of the body energy balance [BEB] in adults, through a Structural Equation Model [SEM]. To do this, cross-sectional explanatory research was available with a sample of 300 participants, who completed a booklet made up of validated psychometric instruments (one for each variable investigated). The results established that the tendency to perform the BEB behaviors is predicted by the contextual factors referred to, and the psychological variables were evaluated (R=.54, p-value < .05). A hypothetical model that incorporates the behavioral aggregate of sleep in the BEB equation is validated, subject to modification and inclusion of new variables.

Attachment style, serial argument, and taking conflict personally

2015 ◽  
Vol 4 (1) ◽  
pp. 63-86 ◽  
Author(s):  
Dale Hample ◽  
Adam S. Richards
Keyword(s):  
Structural Equation Model ◽  
Attachment Style ◽  
Attachment Styles ◽  
Structural Equation ◽  
Close Relationships ◽  
Equation Model ◽  
Personal Relationships ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Relationship

Serial argument theory explains recurring conflict within personal relationships. The theory specifies that an arguer’s goals influence his/her tactics, leading to argument outcomes which include effects on the relationship. We extend this model in two ways. First we suggest that attachment styles predict serial argument goals. Second, we hypothesize that taking conflict personally (TCP) is an outcome of such arguments. University students (N = 682) completed a cross-sectional survey about their attachment styles and felt personalization regarding a serial argument they experienced. A structural equation model tested relationships between attachment styles, goals, tactics, outcomes, and TCP. Results indicated that attachment styles predict goals of serial arguing and serial argument outcomes predict TCP. The study shows that attachment styles have modest but statistically significant effects on goals of serial arguing in close relationships and that the tactics used in serial arguing predict the degree to which people take recurring conflict personally.

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