scholarly journals Introducing Emotioncy as an Invisible Force Controlling Causal Decisions: A Case of Attribution Theory

2017 ◽  
Vol 48 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Reza Pishghadam ◽  
Hannaneh Abbasnejad
Keyword(s):  
Decision Making ◽  
Attribution Theory ◽  
Structural Equation ◽  
Judgment And Decision Making ◽  
External Factors ◽  
Equation Modeling ◽  
Internal Factors ◽  
Factors Influencing ◽  
Confirmatory Factor ◽  
Causal Judgments

Abstract Given the prominence of studies aimed at determining the factors influencing causal judgments, this study attempts to introduce the newly-developed concept of emotioncy as one of the guiding factors pushing attribution judgments toward a certain spectrum. To this end, two scales of attribution and emotioncy were designed using ten hypothetical situations. A total number of 309 participants filled out the scales. The construct validity of the scales was substantiated through confirmatory factor analysis (CFA). Afterwards, structural equation modeling (SEM) was utilized to examine the possible relationships among the sub-constructs of attribution and emotioncy scales. The results indicated that as the participants’ emotioncy level increases, it becomes more likely for them to attribute probable causes to external factors. Moreover, it was revealed that while the involved individuals attribute causes to external factors, the exvolved ones attribute them to internal factors. In the end, implications of the findings were discussed in the realm of judgment and decision making.

scholarly journals PENGARUH FAKTOR INTERNAL DAN EKSTERNAL TERHADAP SIKAP DAN NIAT PEMBELIAN DARING

2017 ◽  
Vol 19 (2) ◽  
pp. 192 ◽  
Author(s):  
Lorentia Shierly ◽  
Sabrina Sihombing
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Sampling Method ◽  
Online Shopping ◽  
Web Design ◽  
External Factors ◽  
Equation Modeling ◽  
Online Data ◽  
Internal Factors ◽  
Main Factors

Online shopping has grown popularity over the years because of its convenient and can often save money for buyers. There are two main factors that can affect a person to do shopping online: internal factors and external factors. Previous research often focuses on one factor only, that is, internal or external factors in influencing online shopping. Therefore, this research attempts to integrate both internal (i.e., personal innovation and hedonic motivation) and external factors (i.e., web design and eWOM) in predicting attitude and intention to buy online. Data was collected by using questionnaires with non-probability sampling method. The number of respondents was 228 respondents. Data was then analyzed by Structural Equation Modeling (SEM). Results showed that four out of five hypotheses are supported. Specifically, the results showed that personal innovation is not a significant predictor of attitude toward online shopping. This study also provides research limitations and suggestions for further research.

scholarly journals Analisis Struktur Kepemilikan, Faktor Eksternal, Internal Terhadap Struktur Modal, Dividen, Nilai Perusahaan Manufaktur

2020 ◽  
Vol 30 (6) ◽  
pp. 1484
Author(s):  
Nurianah Nurianah ◽  
Muslich Anshori
Keyword(s):  
Capital Structure ◽  
Ownership Structure ◽  
Firm Value ◽  
Structural Equation ◽  
Dividend Policy ◽  
Stock Exchange ◽  
External Factors ◽  
Equation Modeling ◽  
Internal Factors ◽  
Company Value

This study discusses and analyzes the Ownership Structure, External Factors, Internal Against Capital Structure, Dividends and Company Value. The population used in this study is companies listed on the Indonesia Stock Exchange using 37 companies. The data used are from 2010 to 2019, this study uses descriptive statistical analysis and inference with Structural Equation Modeling (SEM). The analysis shows: ownership structure does not oppose capital structure, dividend policy, and firm value, external factors affect internal factors, external factors do not oppose capital structure, external factors do not significantly influence firm value, internal factors related to capital structure, factors internal does not oppose dividend policy, internal factors oppose company value, capital structure opposes dividend policy, dividend policy has no effect on capital structure, capital structure is related to company value, and dividend policy is related to company value. Keywords: Ownership Structure; External and Internal Factors; Dividend Policy; Manufacture.

scholarly journals The Significant Effect of Organizational Structure on Private Housing Developers’ Involvement in Development of Affordable Housing

2019 ◽  
Vol 8 (2S11) ◽  
pp. 674-679
Keyword(s):  
Organizational Structure ◽  
Affordable Housing ◽  
Structural Equation ◽  
Peninsular Malaysia ◽  
Equation Modeling ◽  
Public Attention ◽  
Internal Factors ◽  
Factors Influencing ◽  
Private Housing ◽  
The Relationship

The involvement of housing developers in the development of affordable housing has attained public attention. One of the internal factors influencing the participation of housing developers in the development of affordable housing is its organizational structure. The aim of this study is to analyze the relationship between organizational structure and private housing developers’ participation in development of affordable housing. Data for the study are collected from a sample of 352 licensed housing developers that are based in Peninsular Malaysia. The Partial Least Squares Structural Equation Modeling (PLS-SEM) is adopted for data analysis. The results approved the hypothesized immediate effects of organizational structure (formalization and centralization) and private housing developers’ participation on the development of affordable housing. The results carry an enormous effect; therefore, its empirical research is developed into the context of affordable housing development.

scholarly journals The influencing factors of self directed learning readiness and academic achievement

2018 ◽  
Vol 2 (1) ◽  
pp. 153-166
Author(s):  
Nurjannah Ramli ◽  
Pudji Muljono ◽  
Farit M Afendi
Keyword(s):  
Academic Achievement ◽  
Structural Equation ◽  
Partial Least Square ◽  
External Factors ◽  
Least Square ◽  
Equation Modeling ◽  
Self Directed Learning ◽  
Internal Factors ◽  
Learning Readiness ◽  
Directed Learning

FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP SELF DIRECTED LEARNING READINESS DAN PRESTASI AKADEMIKAbstrakPenelitian ini bertujuan untuk menganalisis pengaruh karakteristik mahasiswa, faktor internal, dan faktor eksternal terhadap self directed learning readiness (SDLR) dan prestasi akademik mahasiswa serta menganalisis pengaruh SDLR terhadap prestasi akademik mahasiswa. Penelitian dilakukan dengan menggunakan desain survei terhadap 111 mahasiswa tahun ke-IV Program Studi Sarjana Kedokteran Universitas Tadulako dengan menggunakan instrumen berupa kuesioner untuk mengukur faktor internal, faktor eksternal, dan SDLR. Indeks prestasi kumulatif (IPK) mahasiswa digunakan untuk mengukur prestasi akademik. Data dianalisis secara kuantitatif dengan menggunakan alat bantu analisis Structural Equation Modeling (SEM) dengan metode alternatif berbasis variance atau component based SEM yang disebut Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa karakteristik mahasiswa dan faktor internal berpengaruh secara signifikan terhadap SDLR dan prestasi akademik mahasiswa, sedangkan faktor eksternal tidak berpengaruh terhadap SDLR dan prestasi akademik mahasiswa. Faktor yang memberikan pengaruh yang lebih tinggi terhadap SDLR dan prestasi akademik mahasiswa adalah faktor internal. Hasil penelitian juga menunjukkan bahwa SDLR tidak berpengaruh terhadap pencapaian prestasi akademik mahasiswa. AbstractThis study was aimed at analyzing the influence factors of student characteristics, the internal factors, and external factors of self-directed learning readiness (SDLR) and student academic achievement as well as the influence factors of SDLR on student academic achievement. This study was conducted by using a survey design on 111 students of the fourth year of Tadulako University Medical Undergraduate Program by using questionnaires to measure internal factors, external factors, and SDLR. The students’ cumulative grade point (GPA) was used to indicate academic achievement. The data were analyzed quantitatively using Structural Equation Modeling (SEM) analysis tools with alternative variance or component based SEM method called Partial Least Square (PLS). The results show that the characteristics of the students and the internal factors significantly affect the SDLR and the students’ academic achievement, while the external factors have no effect on the SDLR and the students’ academic achievement. The factors that have a higher effect on SDLR and student achievement are internal factors. The results also show that SDLR does not affect the students’ academic achievement.

scholarly journals MENGAPA GENERASI MUDA ENGGAN BEKERJA DI SEKTOR PERTANIAN? MODEL PERSAMAAN STRUKTURAL SEKTOR PERTANIAN DI KABUPATEN JEMBRANA

2021 ◽  
Vol 10 (2) ◽  
pp. 122
Author(s):  
ADI PUTRAYASA ◽  
I KOMANG GDE SUKARSA ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Structural Equation ◽  
External Factors ◽  
Future Generations ◽  
Equation Modeling ◽  
Tourist Attraction ◽  
Family Farming ◽  
Exogenous Variables ◽  
Internal Factors ◽  
Agricultural Work ◽  
Agriculture Sector

Agriculture in Bali has profound importance, namely as a natural tourist attraction and is one of the sectors with the most workers absorb as well the largest contributor to regional income for Bali Province. Currently, the agriculture sector in Bali is experiencing the problem of decreasing the workforce due to the reluctance of future generations to continue farming inherited from their families. The purpose of this paper is to identify the factors causing the reluctance of future generations to continue family farming and to study the causality of these factors to the reluctance for continuing family farming. This study uses a variance-based structural equation modeling (PLS-SEM). Internal and external motivation to continue family farming as well the perception of agricultural works are the exogenous variables, and the reluctance to continue family farming is the endogenous variable on the model. The data in this study obtained from interviewing 115 respondents in the Jembrana Regency of Bali. The study’s result justifies that internal factors, external factors, and perceptions of agricultural work influenced the reluctance to continue family farming.

Judgments under emotioncy’s influence

2017 ◽  
Vol 4 (2) ◽  
pp. 293-312
Author(s):  
Reza Pishghadam ◽  
Hannaneh Abbasnejad
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Driving Force ◽  
Structural Equation ◽  
Rasch Measurement ◽  
Judgment And Decision Making ◽  
Equation Modeling ◽  
Bias Level ◽  
Abstract Words ◽  
Biased Language

Abstract Following a number of studies on discovering the controlling dormant forces in linguistic biases, this study attempts to introduce the concept of emotioncy as a driving force in explicating the causes of prejudice manifested through biases in speech. To this end, two scales for measuring individuals’ bias and their emotioncy levels were devised and validated through Rasch measurement. A total number of 341 participants were asked to take the scales. Afterward, structural equation modeling (SEM) was employed to investigate the probable relationships between sub-constructs of the scales. The results indicated that as individuals’ emotioncy level increases, the bias level decreases. In other words, involvement slides people toward being less judgmental and thus less biased in language, while exvolvement leads people toward using more abstract words, and therefore more biased language. In the end, implications of the findings were discussed in the realm of judgment and decision making.

A Psychometric Study of the Quality Perception Questionnaire

2012 ◽  
Vol 71 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Raffaele Cioffi† ◽  
Anna Coluccia ◽  
Fabio Ferretti ◽  
Francesca Lorini ◽  
Aristide Saggino ◽  
...  
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Fit Indices ◽  
Quality Perception ◽  
Italian Survey ◽  
Confirmatory Factor ◽  
Instrument Measuring ◽  
Hospital Structures

The present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients’ perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (Mage = 56.42 years; SD = 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ² difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.

Working Memory, Mental Prospection, Time Orientation, and Cognitive Insight

2013 ◽  
Vol 34 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Sevtap Cinan ◽  
Aslı Doğan
Keyword(s):  
Working Memory ◽  
Structural Equation ◽  
Factor Model ◽  
Time Orientation ◽  
Equation Modeling ◽  
Cognitive Insight ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Positive Effect ◽  
Three Factor

This research is new in its attempt to take future time orientation, morningness orientation, and prospective memory as measures of mental prospection, and to examine a three-factor model that assumes working memory, mental prospection, and cognitive insight are independent but related higher-order cognitive constructs by using confirmatory factor analysis (CFA). The three-factor model produced a good fit to the data. An alternative one-factor model was tested and rejected. The results suggest that working memory and cognitive insight are distinguishable, related constructs, and that both are distinct from, but negatively associated with, mental prospection. In addition, structural equation modeling (SEM) showed that working memory had a strong positive effect on cognitive insight and a moderate negative effect on mental prospection.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

How Communication in Organizations Is Related to Foci of Commitment and Turnover Intentions

2020 ◽  
pp. 1-12
Author(s):  
Sebastian Holzwarth ◽  
George Gunnesch-Luca ◽  
Roman Soucek ◽  
Klaus Moser
Keyword(s):  
Organizational Communication ◽  
Turnover Intention ◽  
Structural Equation ◽  
Affective Commitment ◽  
Turnover Intentions ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Communication In Organizations ◽  
Cohesion Theory

Abstract. The current study analyzes how two components of perceived organizational communication (vertical and horizontal) are related to employee turnover intentions via three types of affective commitment foci (organization, supervisor, and team). Using second-order confirmatory factor analysis and structural equation modeling techniques with a large cross-sectional dataset ( n = 3,317), our results show that, in line with social cohesion theory, vertical communication (e.g., supportiveness from the organization) is strongly related to affective organizational commitment, whereas horizontal communication (e.g., supportiveness from colleagues) is primarily related to affective team commitment. Additionally, both communication dimensions are related to affective supervisory commitment. Finally, these three foci of affective commitment incrementally explain and differentially mediate the relationship between perceived organizational communication and turnover intention.

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