scholarly journals Development and psychometric testing of a new measure of the determinants that influence the adoption of WhatsApp in hospitals

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0262003
Author(s):  
Anna De Benedictis ◽  
Emanuele Lettieri ◽  
Michela Piredda ◽  
Raffaella Gualandi ◽  
Maddalena De Maria ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Technology Acceptance ◽  
Instant Messaging ◽  
Innovation Adoption ◽  
Perceived Usefulness ◽  
Digital Innovation ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Nurses And Physicians

Background Healthcare contexts are witnessing a growing use of applications to support clinical processes and to communicate between peers and with patients. An increasing number of hospital professionals use instant-messaging applications such as WhatsApp in their daily work. Previous research has mainly focused on the advantages and risks of WhatsApp usage in different clinical settings, but limited evidence is available about whether and how individual and organizational determinants can influence the use of WhatsApp in hospitals. Moreover, instruments to explore this phenomenon are lacking. A theoretical four-factor model based on the ‘Technology Acceptance Model’ and the Institutional Theory, guided the development of a new measure of the individual and institutional determinants of WhatsApp usage in hospitals. Aim To develop and psychometrically test the questionnaire ‘Digital Innovation Adoption in Hospitals’. Method A panel of researchers and clinical experts generated an initial pool of 35 items by identifying and adapting items from existing measures. These items were assessed for content and face validity by fourteen experts. The final 28-item ‘Digital Innovation Adoption in Hospitals’ questionnaire comprising four sections (Perceived risks, Perceived usefulness, Regulative factors and Normative factors) was administered online to nurses and physicians. Construct validity was tested through confirmatory factor analysis. Results The sample included 326 hospital nurses and physicians. The theoretical four-factors model was confirmed and the confirmatory factor analysis yielded acceptable fit indexes. The correlations between the factors were significant and ranged from -0.284 to 0.543 (p < .01). Reliability in terms of internal consistency was satisfactory with Cronbach’s alpha coefficient ranging from 0.918–0.973. Conclusion This study is the first to provide a validated tool to evaluate the use of WhatsApp in hospitals. The new instrument shows reasonable psychometric properties and is a promising and widely applicable measure of factors that influence the use of WhatsApp in hospitals.

ASSESSING STATISTICS ANXIETY IN AN ONLINE OR HYBRID SETTING: THE ADAPTION AND DEVELOPMENT OF A NEW INSTRUMENT SASOH

2021 ◽  
Vol 20 (1) ◽  
pp. 2
Author(s):  
Lu Liu
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Mathematics Anxiety ◽  
Discriminant Validity ◽  
Item Analysis ◽  
Statistics Anxiety ◽  
Four Dimensions ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Attitudes Toward Statistics

With the purpose of developing an instrument for measuring statistics anxiety in the online or hybrid setting, this study tested the newly developed instrument in two stages. Results on item selection and exploratory factor analysis based on pilot testing (n = 115) are presented. Results on classical item analysis, the confirmatory factor analysis, the measurement invariance test results, and the predictive and discriminant validity of the final model based on formal testing (n = 709) are presented. The resulting Statistics Anxiety Scale in the Online or Hybrid setting instrument (SASOH) has 27 items and four dimensions. The four dimensions are Class and Interpretation Anxiety (CI), Fear of Asking for Help Anxiety (FA), Online System Anxiety (OS), and Pre-Conception Anxiety (PC). The results of the confirmatory factor analysis revealed that the four-factor SASOH model represents an adequate description of statistics anxiety in an online or hybrid setting. Moreover, multiple-groups confirmatory factor analysis affirmed that the resulting model achieved at least partial measurement and structural invariance across gender and program. In addition, attitudes toward statistics significantly predicts the four factors of statistics anxiety, and the discriminant validity from mathematics anxiety was confirmed. Recommendations for future studies are also provided.

Developing an Instrument for E-Public Services’ Acceptance Using Confirmatory Factor Analysis

2012 ◽  
Vol 24 (3) ◽  
pp. 18-44 ◽  
Author(s):  
Ahmed Alzahrani ◽  
Bernd Carsten Stahl ◽  
Mary Prior
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Large Scale ◽  
Public Services ◽  
Equation Modeling ◽  
Data Sampling ◽  
Potential Cost ◽  
Confirmatory Factor

Governments worldwide spend billions from their allocated IT budgets to deliver convenient electronic services to their citizens. As a result, it is important to encourage citizens to use these services to avoid potential failures. Yet, few empirical studies exist that cover the relevant issues of adoption from the perspective of citizens in developing countries. Moreover, the need for a well-validated instrument to capture citizen adoption of such services is vital, given the vast investment in technology and the potential cost-saving implications. This study integrates elements from the most popular theories, including adoption technology acceptance model (TAM), innovation diffusion theory (IDT), and theory of planned behavior (TPB), in conjunction with web trust models. It develops an instrument to measure citizens’ acceptance of electronic public services by utilizing confirmatory factor analysis (CFA) within the structural equation modeling technique. Findings of a large scale data sampling of citizens in Saudi Arabia indicate that the proposed measurement model is an acceptable fit with the data. Overall, the findings supply a rigorous instrument for measuring citizens’ acceptance of e-public services, providing further insights for researchers and offering policy makers a suitable tool with which to study proposed strategies.

Sales technology usage

2018 ◽  
Vol 30 (1) ◽  
pp. 257-271 ◽  
Author(s):  
Ashwani Kumar Upadhyay ◽  
Komal Khandelwal ◽  
Tanuj Nandan ◽  
Prashant Mishra
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Social Factor ◽  
Support Service ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Sales Professionals ◽  
Use Of Technology ◽  
Confirmatory Factor

Purpose The purpose of this paper is to model the key influencers or predictors for usage of technology by sales professionals in India. Design/methodology/approach This study examines the effect of individual, organizational and social factors on the use of technology. The method used for primary research is survey, and data have been collected from 556 sales professionals from across four industries in India. The empirical analysis consists of confirmatory factor analysis using structural equation modeling. Findings Confirmatory factor analysis has been used to validate the constructs, namely, peer usage, support service, perceived usefulness, attitude, usage and performance. Based on the results, it has been concluded that attitude and peer usage have a direct effect on the use of technology. Support service affects peer usage and perceived usefulness affects attitude. This model helps us understand the direct and indirect predictors of use of sales technology (ST), and its effect on sales performance. Research limitations/implications The limitation of this study is that data pertain to India only. Practical implications The findings of this paper will help sales managers and organizations develop strategies to increase the acceptance and use of new technologies, and also strengthen their arguments for convincing the various stakeholders about the benefits and relevance of the ST. Originality/value The paper attempts to build and validate a parsimonious model taking into account peer usage (social factor) and support service (organizational factor) in addition to perceived usefulness and attitude.

scholarly journals Measurement Invariance pada Indonesian Tawadhu Scale (ITS)

2020 ◽  
Vol 3 (2) ◽  
pp. 71-86
Author(s):  
Yonathan Natanael ◽  
Mirna Devi ◽  
Yasril Ananta Burhanudin ◽  
Jamiludin Nur
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Research Method ◽  
Measuring Instrument ◽  
Multidimensional Model ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Instrument Testing ◽  
Multiple Groups ◽  
Interpersonal Dimension

The purpose of this study to develop a new instrument of tawadhu that valid, unbiased, and can be used in Indonesia. The research method uses combination similarization in Islamic Psychological studies and psychological construction scale. The number of participants in this research is 613 Muslims with range 16 to 45 years old. Instrument consists of 7 items measuring intrapersonal dimension and 13 items measuring interpersonal dimension. Methods that used measuring instrument testing are Aiken validity and Multiple Groups Confirmatory Factor Analysis (MGCFA) with a multidimensional model. The results of Aiken analysis show that all items are valid measuring tawadhu. Also, MGCFA shows that Indonesian Tawadhu Scale is an unbias scale. This instrument can be used by Muslims in Indonesia as it integrates the concept of Psychology and Islam.

Telemedicine questionnaire for health care professionals: adaptation and validation using the Technology Acceptance Model (Preprint)

2019 ◽  
Author(s):  
Josep Vidal-Alaball ◽  
Gemma Flores Mateo ◽  
Josep Lluís Garcia Domingo ◽  
Francesc Xavier Marin-Gomez ◽  
Glòria Sauch Valmaña ◽  
...  
Keyword(s):  
Health Care ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Care Professionals ◽  
Alpha Coefficient ◽  
Cronbach's Alpha ◽  
Confirmatory Factor ◽  
Acceptance Model

BACKGROUND Telemedicine is both effective and can provide efficient care at lower costs. It also enjoys a high acceptance rate among users. The technology acceptance model proposed is based on the two main concepts of ease of use and perceived usefulness and comprises three dimensions: the individual context, the technological context, and the implementation or organizational context. There is not a short validated questionnaire to check the acceptance of telemedicine services amongst health care professionals using a technology acceptance model. OBJECTIVE To translate and validate a telemedicine acceptance questionnaire based in the technology acceptance model. METHODS The study included the following phases: adaptation and translation of the questionnaire into Catalan, and psychometric validation which include construct (exploratory and confirmatory factor analysis), consistency (Cronbach’s alpha) and stability (test-retest). Factor analysis was used to describe variability amongst observed variables. The Kaiser-Meyer-Olkin test of sampling was adequate (KMO = 0.818) and the Bartlett test of sphericity was significant (Chi-square 424.188; gl=28; P < .001), indicating that the items were appropriate for a factor analysis. The final confirmatory factor analysis conducted showed good fit index (RMSEA = 0.102, CFI = 0.93, TLI =0.90; CD =0.96). RESULTS After removing incomplete responses 144 responses where considered for analysis. The internal consistency measured with the Cronbach’s alpha coefficient was good with an alpha coefficient of 0.84 (95%, CI: 0.79-0.84). The intraclass correlation coefficient was 0.93 (95% CI: 0.852-0.964). CONCLUSIONS The questionnaire validated with this study has robust statistical features that potentially make it a good predictive model of professional’s satisfaction with telemedicine programs. CLINICALTRIAL n/a

scholarly journals Sociological Importance and Validation of a Questionnaire for the Sustainability of Personal Learning Environments (PLE) in 8th Grade Students of the Biobío Region in Chile

2019 ◽  
Vol 11 (5) ◽  
pp. 1301 ◽  
Author(s):  
José Luis Carrasco-Sáez ◽  
Marcelo Careaga Butter ◽  
María Graciela Badilla-Quintana ◽  
Laura Jiménez Pérez ◽  
Juan Molina Farfán
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Human Interaction ◽  
Two Dimensional ◽  
Human Beings ◽  
Personal Learning ◽  
New Instrument ◽  
Confirmatory Factor ◽  
8Th Grade

Contemporary society is going through a cultural transition that leads to new conceptions about the ways in which human beings organize socially and communicate. This process of deep social and cultural transformations is characterized by a technological disruption, in which virtuality forms a new dimension that behaves as an extension of human intelligence. This new form of human interaction impacts on the social imagination, demanding one to rethink social and educational paradigms for the two-dimensional citizen. In this context, this research article describes the sociological importance and the process of social adaptation of users to a personal learning environment (PLE). It includes the validation process of an instrument for the study of the PLE of 8th grade students belonging to 15 schools in the Biobío Region of Chile. A PLE is a frame of reference that can help to understand how two-dimensional citizens socially adapt and influence the sustainability of local and global systems. The validation method for this instrument considered four stages: i) Expert judgment: considering the opinions of six educators and experts in information and communication technologies (ICT); ii) a pilot test: that included a non-probabilistic sample of 472 subjects; iii) a principal components analysis (PCA); and iv) a confirmatory factor analysis (CFA). The Questionnaire on Work Habits and Learning for Professional Futures and the Context Questionnaire SIMCE TIC were used as a reference. When performing a psychometric analysis, a Cronbach alpha coefficient of 0.89 was obtained. This confirms that the adaptation of the instrument is good. The results of the dimensional analysis help us define a structure for the new instrument considering three components that explain 55% of the total variance. The results of the confirmatory factor analysis showed adjustment indexes that support the theoretical model proposed for the PLE study. In conclusion, the instrument was composed of three latent variables: Open self-regulated learning (OSRL) with eight questions, information management (IM) with four questions, and creation and transfer of knowledge (CTK) with four questions.

scholarly journals A CONFIRMATORY FACTOR ANALYSIS OF THE NEW MALAYSIAN INDEX OF ELDERLY WELL-BEING: A PRELIMINARY FINDINGS

2020 ◽  
Vol 8 (2) ◽  
pp. 13-24
Author(s):  
RAHIMAH IBRAHIM ◽  
◽  
HAZWAN MAT DIN ◽  
SITI FARRA ZILLAH ABDULLAH ◽  
TENGKU AIZAN HAMID
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Discriminant Validity ◽  
Estimation Method ◽  
Well Being ◽  
Community Dwelling ◽  
Validity And Reliability ◽  
Five Factors ◽  
New Instrument ◽  
Confirmatory Factor

Malaysia is experiencing rapid ageing. With such rapid demographic changes, the need for understanding elderly well-being become a necessity. This study aims to validate a new developed Malaysian index of elderly well-being (MIEW) among the Malaysian community-dwelling elderly. A cross-sectional study was conducted among the elderly in Negeri Sembilan, Malaysia. The preliminary MIEW contained 40 items and is composed of five factors; economic, health, social, psycho-spiritual and environmental well-being. Confirmatory factor analysis using maximum likelihood estimation method was conducted to assess the validity and reliability of the instrument. A total of 629 respondents participated in this study, with an average age of 70.36 years old. Confirmatory factor analysis yielded 18 items with five factors. The model fitted the data well, showing strong construct validity and reliability of the instrument. The findings from this study suggested an acceptable level of validity and reliability for the new instrument. However, MIEW should be used with caution as the discriminant validity of social and environmental well-being was unsatisfactory. Further research in this section is recommended.

scholarly journals Inclusion at universities: Psychometric properties of an inclusive management scale as perceived by students

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262011
Author(s):  
María José Solis-Grant ◽  
Camila Espinoza-Parçet ◽  
Cristóbal Sepúlveda-Carrasco ◽  
Cristhian Pérez-Villalobos ◽  
Iván Rodríguez-Núñez ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Quantitative Research ◽  
Online Survey ◽  
Tertiary Education ◽  
Validity And Reliability ◽  
New Instrument ◽  
Confirmatory Factor ◽  
The One

Introduction During the last century, the inclusion of all kinds of diversity became a social imperative in all social spaces but above all in some institutions such as the educational ones. Among these, inclusion has been least studied in the tertiary education organizations. This communication proposes and evaluates the psychometric properties of a new instrument, named Inclusive Management in Tertiary Institutions Scale (IMTIS), to assess inclusive management in universities. Method The researchers used a quantitative research model through survey. We based on the Index for Inclusion to design the IMTIS. We first submitted it to the assessment of experts. Then we applied the resulting version in an online survey including a sample of 1557 students from two universities and 121 different undergraduate careers. A panel of experts judged the content validity of the instrument. Participants answered the IMTIS after informed consent. We used confirmatory factor analysis to assess the construct validity of the instrument. We also evaluated the reliability of the measurements. Results From a kit of 33 originally proposed items, we obtained a version of 22 items with CVR between 0.60 and 1.00, and a IVC = 0.78. The confirmatory factor analysis showed that the six-factor solution had a better adjustment than the one and three factors solutions (RMSEA = 0.059; CFI = 0.947; TLI = 0.937). The McDonald ω coefficients were between 0.864 and 0.922. Conclusion The results deliver evidence that supports the validity and reliability of the IMTIS measurements to carry out research and diagnosis of inclusive management in higher education institutions.

scholarly journals Analysis of Psychometric Properties and Validation of the Personal Learning Environments Questionnaire (B-PLE) in Higher Education Students

2021 ◽  
Vol 13 (16) ◽  
pp. 8736
Author(s):  
José Luis Carrasco-Sáez ◽  
Marcelo Careaga Butter ◽  
María Graciela Badilla-Quintana ◽  
Juan Molina-Farfán
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Learning Environments ◽  
Latent Variables ◽  
Cultural Transition ◽  
Personal Learning ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Personal Learning Environments

We are living through a cultural transition, characterized by technological disruption and the erosion of the modern ideology, which are redefining the behavior of citizens in their physical and digital spaces. Virtuality emerges as a new human dimension, making it necessary to rethink social and educational paradigms for a new two-dimensional citizen. In this context, the psychometric features and validation procedure of an instrument (B-PLE) for analyzing Personal Learning Environments (PLE) in students of higher education institutions in the Biobío Region of Chile are described. There were four phases to the validation method: (i) content validity, as determined by six experts in education and ICT; (ii) pilot test, with a non-probabilistic sample of 327 subjects; (iii) principal components analysis (PCA); and (iv) confirmatory factor analysis (CFA). The results of the dimensional analysis made it possible to define the structure of the new instrument, explaining 72% of the total variance. The reliability analysis yielded an alpha coefficient of 0.92. The confirmatory factor analysis showed fit indexes that support the proposed theoretical model. In conclusion, the instrument was composed of three latent variables: Open learning (OL), with six questions, Information management (IM), with two questions, and Knowledge creation and transfer (KCT), with three questions.

scholarly journals Exploratory and Confirmatory Factor Analysis of the Social Skills Scale for Young Immigrants

2020 ◽  
Vol 12 (17) ◽  
pp. 6897
Author(s):  
María Tomé-Fernández ◽  
Christian Fernández-Leyva ◽  
Eva María Olmedo-Moreno
Keyword(s):  
Factor Analysis ◽  
Social Skills ◽  
Confirmatory Factor Analysis ◽  
Structural Equations ◽  
Sociocultural Factors ◽  
Validity And Reliability ◽  
The Social ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Young Immigrants

The integration of young immigrants in the societies that host them highlights the need for the intervention of social workers to facilitate their adaptation and inclusion from an individualized diagnosis of their needs. The development of social skills in the immigrants is one of the main ways to make that integration happen, and therefore its diagnosis is fundamental. However, at present, there are no valid and reliable instruments that take into account the sociocultural factors that surround young immigrants for the evaluation of their social skills. It is for this reason that the purpose of this study was to adapt and validate a current and useful instrument for the diagnosis of such social skills to young immigrants welcomed in Spain. To do this, it was started on the choice and adaptation of The Social Skills Scale (Escala de Habilidades Sociales). Subsequently, the questionnaire was submitted to concurrent, predictive, and nomological validation processes. The construct validity was carried out by factor analysis first and second order to confirm the hierarchical structure of the scale. After validation with Exploratory Factor Analysis (n = 330), the structure was checked, and the model was later adjusted with Confirmatory Factor Analysis (n = 568) by means of structural equations. The reliability and internal consistency of the instrument was also tested with values in all dimensions above 0.8. It is concluded that this new instrument has 29 items and 6 dimensions, has acceptable validity and reliability, and can be used for the diagnosis of Social Skills in Young Immigrants.

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