Oliver’s four-factor model: Validation through causality

2022 ◽  
pp. 174795412110492
Author(s):  
Alessandro Cecchin
Keyword(s):  
Causal Inference ◽  
Structural Equation ◽  
Statistical Approach ◽  
Factor Model ◽  
Equation Model ◽  
Sports Analysis ◽  
Winning Percentage ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach ◽  
Fitting Ability

While there has been a growing interest in sports analysis in recent years, much research first focused on a classical statistical approach and later on an artificial intelligence approach. This article aims instead to propose a causal inference approach to sports analysis. In particular, the present article intends to review the famous four-factor model proposed by Dean Oliver for assessing the winning ability of National Basketball Association (NBA) teams through a causal inference approach. A structural equation model is used to validate Oliver’s model. The present paper considers the winning percentage and the factors’ statistics over entire seasons from [Formula: see text] to [Formula: see text]. The statistics for the [Formula: see text] season are considered only on a subset of the games. This is because the games played in the Orlando bubble under the particular COVID-19 situation have been regarded as outliers compared to the games played in the other NBA seasons, hence they have not been taken into account. The second goal of the article is to analyse if the fitting ability of the four-factor model changes when it is fitted over the pre[Formula: see text] and post[Formula: see text] basketball eras datasets, considering the year [Formula: see text] as the turning point for the NBA playing style.

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.

The influence of openness to experience and nostalgia proneness on brand loyalty

2018 ◽  
Vol 15 (4) ◽  
pp. 500-513
Author(s):  
Seniz Özhan ◽  
Nevin Altug ◽  
Eylem Deniz
Keyword(s):  
Personality Traits ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Joint Effect ◽  
Equation Model ◽  
Openness To Experience ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this paper is to examine the joint effect of two composite characteristics –openness to experience (OE) and nostalgia proneness (NP) – on product involvement (PI) and whether brand loyalty (BL) is a result of this PI. Design/methodology/approach In accordance with this purpose, a model suggesting that OE dimension of the five-factor model and NP influences PI and PI influences BL was developed and tested. The data used in the study were obtained from 1,392 participants from the Thrace region of Turkey. The authors use a structural equation model to test and confirm hypothesis. Findings OE influences PI and hence BL. On the other hand, it has been concluded that NP has no significant influence on PI. Research limitations/implications This is the first study to examine the influence of OE, one of the personality traits, and NP on BL. In this study, only OE, which is one of the five-factor personality traits, has been examined. Studies in the future may research the relationship between other personality traits and NP, PI and BL. Practical implications This paper provides managerial insights into why consumers’ personality traits and NP need to be taken into consideration in creating BL. Originality/value To the best of authors’ knowledge, the influence of OE and NP on BL has not been addressed in the current literature. Personality traits and NP are closely related to individuals’ behaviors as a consumer. Understanding the factors that influence consumer purchase decision processes is of crucial importance to managers and researchers alike. The paper is of great value for firms that consider enhance BL.

scholarly journals EXPLICATING THE ROLE OF TRUST IN KNOWLEDGE SHARING: A STRUCTURAL EQUATION MODEL TEST

2017 ◽  
Vol 18 (4) ◽  
pp. 758-778 ◽  
Author(s):  
Rasa SMALIUKIENĖ ◽  
Svajonė BEKEŠIENĖ ◽  
Eugenijus CHLIVICKAS ◽  
Marius MAGYLA
Keyword(s):  
Organizational Culture ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Large Body ◽  
Equation Model ◽  
Impact Of Technology ◽  
The Impact

Although the large body of literature suggests that trust is a prerequisite for knowledge sharing, the understanding of mediational pathways remains limited. The paper fills the gap by combining two separate streams in knowledge sharing, where the first reflects the paradigm of the organizational behaviour theory and highlights the impact of organizational culture and employees’ trust; where the second one discloses the impact of technology deployment in knowledge sharing. Building on the premises that interdependence between variables that affect knowledge sharing raises form organizational culture of trust and available technologies, we examine the structural origins of knowledge sharing. As a method structural equation modelling test was used to analyse the data. Hypothesised five-factor model was tested through two stages using AMOS software. The findings carry theoretical implications for the knowledge management body of knowledge since they extended the research on knowledge sharing by integrating organisational culture and technological solutions into one complex system. Form practical perspective, the relationship among four predictors – trust in leadership, trust in co-workers, trust in technologies for knowledge management, and fear of losing one’s value – provide a proof on how organizations knowledge sharing is composed and how it could be developed.

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 Relationship between Temperament, Depression, Anxiety, and Hopelessness in Adolescents: A Structural Equation Model

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Paolo Iliceto ◽  
Maurizio Pompili ◽  
David Lester ◽  
Xenia Gonda ◽  
Cinzia Niolu ◽  
...  
Keyword(s):  
High School Students ◽  
Structural Equation ◽  
Structural Model ◽  
Factor Model ◽  
Psychiatric Morbidity ◽  
Equation Model ◽  
Self Report ◽  
Anxiety State ◽  
School Students ◽  
Two Factors

The purpose of this study was to test the validity of affective temperaments for predicting psychiatric morbidity and suicide risk, using a two-factor model to explain the relationships between temperament, anxiety, depression, and hopelessness. We investigated 210 high school students, 103 males and 107 females, 18-19 years old, who were administered self-report questionnaires to assess temperament (TEMPS-A), depression (BDI-II), anxiety (STAI) and hopelessness (BHS). The final structural model had a good fit with the data, with two factors significantly correlated, the first labeled unstable cyclothymic temperament including Dysthymic/Cyclothymic/Anxious temperament, Irritable temperament and Depression, and the second labeled Demoralization including Anxiety (State/Trait) and Hopelessness. Depression, anxiety and hopelessness are in a complex relationship partly mediated by temperament.

Dual-Factor Approach to Consumer Acceptance of Mobile Banking

2021 ◽  
Vol 12 (1) ◽  
pp. 1-27
Author(s):  
Donald Amoroso ◽  
Osam Sato ◽  
Pajaree Ackaradejruangsri
Keyword(s):  
Consumer Satisfaction ◽  
Structural Equation ◽  
Factor Model ◽  
Strong Predictor ◽  
Equation Model ◽  
Consumer Acceptance ◽  
Mobile Banking ◽  
Research Model ◽  
Continuance Intention ◽  
Financial Applications

This study builds on relationship marketing literature and extends existing continuance intention theories by applying dual-factor model to understand the complex behaviors of Japanese consumers and continuance intention of using mobile financial applications, such as mobile banking and/or mobile wallet. The research model, originally developed by Amoroso and Chen, has been adopted and data collected with a sample of 513 Japanese mobile banking app consumers. A predictive structural equation model was derived from the covariance matrix and was produced to analyze the path coefficients. The results show a general support for continuance intention to use mobile banking technologies among Japanese consumers. The results show Japanese consumer satisfaction is found to be a strong predictor of loyalty and continuance intention, directly affected by perceived value, perceived enjoyment, and inertia/habit. While loyalty is found to be a key construct to directly affect continuance intention, a very strong predictor of continuance intention among Japanese mobile banking apps users.

The development of a measure of root awareness to account for reading performance in the Arabic language: A development and validation study

2018 ◽  
Vol 40 (2) ◽  
pp. 303-322 ◽  
Author(s):  
SANA TIBI ◽  
JAMIE L. TOCK ◽  
JOHN R. KIRBY
Keyword(s):  
Reading Fluency ◽  
Structural Equation ◽  
Word Reading ◽  
Factor Model ◽  
Salient Feature ◽  
Arabic Language ◽  
Equation Model ◽  
Model Fit ◽  
Reading Outcomes ◽  
Arabic Speaking

ABSTRACTMorphological awareness (MA) is an important predictor of reading outcomes in different languages. The consonantal root is a salient feature of Arabic lexical structure and critical to MA. The goals of this study were to (a) develop a measure of root awareness (RA) as one dimension of MA in Arabic, and (b) validate the RA measure by predicting reading outcomes in an Arabic population. A set of RA items was administered to 194 Arabic-speaking third-grade children. A one-factor model was specified using confirmatory factor analysis to examine the model fit of the RA measure. A structural equation model was then developed to examine the relation between the RA measure and important reading outcome measures including word reading, reading fluency, and reading comprehension. The results of these analyses indicated good model fit, and the RA measure accounted for a substantial portion of the variance in the outcomes. The establishment of the RA measure is an important preliminary step to efficiently assessing MA in Arabic and could serve as an integral tool for studying reading development.

Sign in / Sign up

Export Citation Format

Share Document