Relational Uncertainty Within Relational Turbulence Theory: The Bifactor Exploratory Structural Equation Model

2021 ◽  
Author(s):  
Alan K Goodboy ◽  
San Bolkan ◽  
, Kellie Brisini ◽  
Denise Haunani Solomon
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Factor Model ◽  
Equation Model ◽  
Turbulence Theory ◽  
General Factor ◽  
Relational Uncertainty ◽  
Measurement Models ◽  
Relational Turbulence ◽  
Confirmatory Factor

Abstract Relational uncertainty consists of self, partner, and relationship uncertainty, which are core parameters in relational turbulence theory (RTT). Advances in latent variable modeling allow researchers to examine the multidimensional construct as a bifactor model, including a general factor of relational uncertainty and residualized factors of self, partner, and relationship uncertainty. This advance is theoretically consequential because RTT maintains the importance of distinctions among the facets of relational uncertainty, even while empirical evidence demonstrates considerable overlap among them. In two data sets (college sample, N = 513; married sample, N = 354), competing measurement models specified Relational Uncertainty Scale items as a unidimensional confirmatory factor model, 3-factor independent clusters confirmatory factor model, 3-factor exploratory structural equation model (ESEM), bifactor confirmatory factor model, and bifactor-ESEM. The bifactor-ESEM provided the best fit in both samples, and bifactor statistics clarified how variance from the scale is partitioned to yield essential unidimensionality for the general factor of relational uncertainty, controlling for its residualized factors. Tests of a latent predictive model using a bifactor specification of relational uncertainty were consistent with RTT. Implications for testing communication theory using bifactor-ESEM are discussed in light of these findings.

A Longitudinal Test of Relational Turbulence Theory

2020 ◽  
Vol 11 ◽  
Author(s):  
James B. Stein
Keyword(s):  
Structural Equation ◽  
Feedback Loop ◽  
Negative Emotions ◽  
Turbulence Theory ◽  
Relational Communication ◽  
Partial Support ◽  
Relational Uncertainty ◽  
Relational Turbulence ◽  
Equation Modelling ◽  
Uncertainty Relationship

Abstract Relational turbulence theory (RTT) proposes causal relationships across cognitive, emotional and communicative variables. Although many tenets of this theory have been tested individually, there has not yet been a comprehensive, predictive examination of RTT. Using structural equation modelling, this study longitudinally tested several propositions and axioms of RTT. Results are largely in line with many of RTT's predictions. Time 1 relational uncertainty predicted time 2 biased cognitions. Time 1 facilitation from a partner predicted time 2 negative emotions. Negative emotions cross-sectionally related to both the enactment and valence of relational communication episodes. Relational turbulence theory's proposed feedback loop received partial support, such that time 1 communication valence (but not engagement) predicted time 2 partner uncertainty, relationship uncertainty and partner facilitation. Results are discussed in terms of theory expansion and refinement.

scholarly journals PERAN INOVASI KONSUMEN DALAM MENCIPTAKAN NIAT BERPERILAKU (Survei Pada Konsumen SFA Steak & Resto Surakarta)

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Lamidi Lamidi ◽  
Marjam Desma Rahadhini
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Confirmatory Factor ◽  
Convenience Sampling

Penelitian ini bertujuan menganalisis pengaruh inovasi konsumen dengan beberapa faktor yang menjadi penentu niat berperilaku konsumen. Penelitian ini berupaya mengetahui pentingnya inovasi konsumen, dengan mempertimbangkan rasa terima kasih konsumen, citra restoran dalam berinovasi, dan kewajaran harga sebagai variabel mediasi. Penelitian ini merupakan survei. Pengumpulan data menggunakan kuesioner. Populasi penelitian adalah konsumen di wilayah Surakarta. Sampel ditentukan sebanyak 130 responden dengan metode convenience sampling, yaitu konsumen yang melakukan pembelian di SFA Steak & Resto Surakarta. Pengujian validitas menggunakan Confirmatory Factor Analysis (CFA), dan Cronbach’s Alpha untuk uji reliabilitas. Analisis data menggunakan Structural Equation Model (SEM) dengan program Amos. Temuan penelitian menunjukkan bahwa inovasi konsumen berpengaruh terhadap ucapan terima kasih dan citra restoran, tetapi tidak berpengaruh terhadap kewajaran harga; ucapan terima kasih berpengaruh terhadap kewajaran harga dan niat berperilaku; citra restoran berpengaruh terhadap kewajaran harga dan niat berperilaku; kewajaran harga tidak berpengaruh terhadap niat berperilaku. Implikasi penelitian hendaknya SFA Steak & Resto Surakarta perlu mempertimbangkan pembuatan menu-menu baru supaya semakin variatif pilihan konsumen, selain itu karyawan perlu mengucapkan terima kasih setelah memberikan pelayanan kepada konsumen.Kata kunci: inovasi konsumen, rasa terima kasih, kewajaran harga, citra restoran, dan niat berperilaku

Enhancing BI Systems Application Through the Integration of IT Governance and Knowledge Capabilities of the Organization

2012 ◽  
pp. 161-182 ◽  
Author(s):  
Samir Hammami ◽  
Firas M. Alkhaldi
Keyword(s):  
Business Intelligence ◽  
Structural Equation ◽  
Factor Model ◽  
It Governance ◽  
Organizational Knowledge ◽  
Equation Model ◽  
Empirical Examination ◽  
Governance Framework ◽  
Confirmatory Factor ◽  
Intelligence Application

Over years, research in Management Information Systems (MIS) has resulted in significant implications for organizations in a wide variety of areas by using socio-technical perspective, which has helped to deliver more business focused solutions. This study reports the results of an empirical examination of the effect of IT governance framework based on COBIT and Organizational Knowledge Pillars in enhancing the IT Governance framework (Business / IT Strategic alignment, Business value delivery, risk management, Resource management, performance measurement) to enhance the business intelligence application and usability within the organization. Quantitative method is adopted for answering the research questions. A questionnaire was used for data collection after contacting several companies, in addition confirmatory factor model and structural equation model were developed and tested and the overall results of the empirical investigation supported the general framework. Using confirmatory factor analysis techniques, the effects of the combination between IT governance factors seen by ITGI and organizational knowledge pillars of the firm on BI Systems application in it were tested and confirmed and the models were also verified. Several statistical methods were used for data analysis; moreover different statistical tools as software packages were employed such as SPSS 17 and EQS 6.1. The study proposes that knowledge management (KM) and IT Governance framework are vital organizational abilities that support business intelligence application; it also observes that combination of IT governance framework with organizational knowledge within the firm can enhance the organization’s BI system application and usability, and its goal is to advance the understanding of the relationships among these factors. The study develops and tested two main hypothesizes: (1) IT Governance framework supports business intelligence application. (2) Organizational knowledge, in turn, leads to support business intelligence application.

Higher-Order and Bifactor Models of the Drinking Motives Questionnaire

Assessment ◽  
2016 ◽  
Vol 24 (2) ◽  
pp. 222-231 ◽  
Author(s):  
Andrew Lac ◽  
Candice D. Donaldson
Keyword(s):  
Structural Equation ◽  
Negative Reinforcement ◽  
Factor Model ◽  
Equation Model ◽  
Higher Order ◽  
Bifactor Model ◽  
Drinking Motives ◽  
General Factor ◽  
Fit Indices ◽  
Confirmatory Factor Analyses

The Drinking Motives Questionnaire, previously postulated and documented to exhibit a measurement structure of four correlated factors (social, enhancement, conformity, and coping), is a widely administered assessment of reasons for consuming alcohol. In the current study ( N = 552), confirmatory factor analyses tested the plausibility of several theoretically relevant factor structures. Fit indices corroborated the original four-factor model, and also supported a higher-order factor model involving a superordinate motives factor that explicated four subordinate factors. A bifactor model that permitted items to double load on valence type (positive or negative reinforcement) and source type (external or internal) generated mixed results, suggesting that this 2 × 2 motivation paradigm was not entirely tenable. Optimal fit was obtained for a bifactor model depicting a general factor and four specific factors of motives. Latent factors derived from this structure exhibited criterion validity in predicting frequency and quantity of alcohol usage in a structural equation model. Findings are interpreted in the context of theoretical implications of the instrument, alternative factor structures of drinking motives, and assessment applications.

scholarly journals Testing the Reliability and Validity of the Nursing Activities Score in Critical Care Nursing

2018 ◽  
Vol 26 (1) ◽  
pp. 142-162 ◽  
Author(s):  
Siv K. Stafseth ◽  
Tor Inge Tønnessen ◽  
Lien My Diep ◽  
Lisbeth Fagerstrøm
Keyword(s):  
Factor Analysis ◽  
Critical Care ◽  
Conceptual Model ◽  
Structural Equation ◽  
Factor Model ◽  
Reliability And Validity ◽  
Equation Model ◽  
Critical Care Nursing ◽  
Measurement Models ◽  
Care Nursing

Background and Purpose:The purpose of this study was to test the reliability and validity of the conceptual model of critical care nursing using the Nursing Activities Score (NAS) for intensive care unit (ICU) patients.Methods:An observational study conducted in 2011 using the NAS scores of 219 patients in Norway. The inter-rater reliability (IRR) was tested by parallel classifications. The validity was explored by an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) as the measurement models in the structural equation model.Results:Within the paired ratings the Spearman's correlation coefficient was 0.39. The EFA results explained 77% of the variance with six factors. The reduced CFA model resulted in a three-factor model: relationship, prevention and treatment. Conclusion: The findings supported the IRR and construct validity of the conceptual model of the NAS.

scholarly journals Analysis of Organizational Silence Attitudes of Hotel Operations’ Employees by Structural Equation Model: Examplary of Rize Province

2016 ◽  
Vol 12 (19) ◽  
pp. 9 ◽  
Author(s):  
Ali Caglar Gulluce ◽  
Eren Erkilic
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Public Speaking ◽  
Equation Model ◽  
Work Related ◽  
Organizational Silence ◽  
Confirmatory Factor ◽  
The City

The objective of this research is to be able to identify the organization silence attitudes of the employees working at the hotels being operated in the city of Rize. For this purpose, questionnaire was applied to 228 employees functioning at the hotels. The data obtained have been analyzed with LISREL program. As a result of confirmatory factor analysis oriented towards determining the organizational silence behaviors of those who have taken part in the survey, favorable significant differences have been identified among the factors of organizational silence behavior. In this context, it has been determined that the most effective variable of "I think that my managers would not listen to my ideas" at a rate of .84 on the factors of Managerial and Organizational Reasons; at a rate of .83 on the factor of the Work – Related Topics "Public speaking can lead to loss of my job" variable; at the rate of .84 on the factor of Lack of Experience of “Since my position I am in is a lower level, my notification of an idea is disregarded” variable; at a rate of .84 on the factor of Isolation Factor “Reporting an issue may reduce confidence and respect felt to me" and at a rate of .87 on the factor of Fear Regarding Harming the Relationships “When I tell the problems, my relationships are damaged” variable. In addition, it has been observed that the Work – Related Topics factor had an influence at the rate of .93 between the factors of Fear of Isolation and Fear of Damaging the Relationships and the factors of Lack of Experience and Fear of Damaging the Relationships had an impact at the rate of .93 between each other.

scholarly journals PENGARUH FAKTOR KELEMBAGAAN, FISIK DAN EKSTERNAL TERHADAP PRODUKTIVITAS BONGKAR MUAT PETIKEMAS

2008 ◽  
Vol 4 (4) ◽  
Author(s):  
Sumarzen Marzuki
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Physical Factor ◽  
Equation Model ◽  
External Factors ◽  
Container Loading ◽  
Low Level ◽  
Confirmatory Factor ◽  
Loading And Unloading ◽  
High Level

Loading and unloading container productivity is basically important, because it is support enter and exit of a ship successfully. Cost, time affectivity which is appear during loading and unloading container is give an influence to the efficiency and affectivity in every work. Productivity in a container harbor becomes a work measurement in a container harbor which has correlation in a complexity to take a responsibility in a long period.This observation and analysis started with collected data by responder high value level and low value level in two research places. The observation and analysis bagan with collecting the high level value and low level value data from tow different location, PT. TPS and PT. JICT.The objective of this search are, (1) To estimate the institutional factor regarding the productivity of the loading and unloading container activity; (2) To estimate and analyze the physical factor which consist of the container yard, equipments, gates berth, vessels, and labor regarding the productivity loading and unloading container; (3) To study and analyze the external factors such as economic macro factor and weather factor; (4) study the correlation between the three factors in loading and unloading productivity; (5) In addition to measure differences of worker productivity high and low value level in container both of container proses loading anf unloading terminal is intended.Data which are derived from this search are cross section and time series, which is collected from primary data which allocated a questions sheet to 287 respondents and secondary data which is revelvant and have a correlation with this research.Analysis techniques that applied in this research are Confirmatory Factor Analysis and Full Model from Structural Equation Model (SEM) which is supported by SPSS 14, AMOS 4.01 and MANOVA.There are several result that obtained from this research, (1) Institution have significant effect to container loading and unloading productivity in PT. TPS and PT. JICT; (2) Physical factor which consist of container yard factor, equipments/cranes, gates berth, vessels and labor flow constantly to loading and unloading productivity; (3) The indicator which is derived from external factors mostly does not affect to loading and unloading container productivity; (4) have a strong correlation to container loading and unloading productivity, from the three factors which are shown above; (5) There is no significant difference, between worker on high level stratum as well as on low level in case of handling the productivity of loading anf unloading container activity. Keywords:Institutional, physic and external factor, confirmatory factor, Structural Equation Model and MANOVA.

scholarly journals Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wenwen Wu ◽  
Jie Diao ◽  
Jinru Yang ◽  
Donghan Sun ◽  
Ying Wang ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Sociodemographic Characteristics ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Total Prevalence ◽  
Confirmatory Factor

Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods. A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results. The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, P < 0.001 ), followed by obesity (β = 0.353, P < 0.001 ) and sociodemographic characteristics (β = 0.315, P < 0.001 ). All paths of the model were significant ( P < 0.001 ). Conclusion. CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.

scholarly journals Analisis Model Hubungan Attachment OrangT Dan Attachment Sahabat Terhadap Character Strength Dengan Teknik Analisis Structural Equetion Modeling (SEM)

2019 ◽  
Vol 7 (2) ◽  
pp. 104-112
Author(s):  
Natris Idriyani
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Model ◽  
Random Sampling ◽  
Structural Equation ◽  
Character Strengths ◽  
Equation Model ◽  
Model Fit ◽  
Confirmatory Factor ◽  
Cluster Random Sampling

Tujuan dari penelitian ini adalah ingin menguji model teoritik hubungan antara kelekatan dengan orang tua dan kelekatan sahabat dengan kekuatan karakter mahasiswa DKI Jakarta. Responden pada penelitian ini berjumlah 902 dari universitas yang ada di sekitar DKI Jakarta. Teknik pengambilan sampel menggunakan cluster random sampling. Metode pengumpulan data dalam penelitian ini menggunakan inventory dalam bentuk skala.  Alat ukur yang digunakan dalam penelitian ini adalah skala kelekatan orang tua dan sahabat, dan skala kekuatan karakter. Untuk menganalisis validitas alat ukur, penelitian ini menggunakan analisis Confirmatory Factor Analysis (CFA). Pengujian model fit dan uji hipotesis penelitian ini menggunakan teknik Structural Equation Model (SEM) dengan bantuan program software Lisrel 8.8.Berdasarkan hasil penelitian, diperoleh bahwa; terdapat kesesuaian model teoritik - hubungan antara kelekatan orang tua dan kelekatan sahabat serta kekuatan karakter mahasiswa- dengan data.  Purpose of this study was to assess the theoretical model of relationship between attachment to parents and attachment close friend with the character strengths students college in Jakarta.Respondents in this study amounted to 902 from universities around Jakarta. The sampling technique using cluster random sampling. Methods of data collection in this study using the inventory in the form of scale. Measuring instruments used in this study is the scale of attachment of parents and close friends and the scale character strengths. To analyze the validity of the measuring instrument, this study uses Analysis Confirmatory Factor Analysis (CFA). Testing the model fit and test the hypothesis of this study using the technique of Structural Equation Model (SEM) with the help of a software program lisrel 8.8.Based on the results of the study, found that; there is a fitness model theoretical- relationship between parental attachment and attachment to close friends and character strengths student college- with data.

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