EUCS test–retest reliability in representational model decision support systems

McHaney, Roger; Hightower, Ross; White, Doug

doi:10.1016/s0378-7206(99)00010-5

Cited by 39 publications

(15 citation statements)

References 29 publications

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“…Model 4 is the only model that has been tested in previous studies over the past decade (Doll & Xia, 1997; Doll et al, 1994; McHaney & Cronan, 1998; McHaney et al, 2002; McHaney et al, 1999). Characteristics of the previous validation studies with EUCS are summarized in Table 4.…”

Section: Resultsmentioning

confidence: 99%

“…The second‐level structure is composed of the original factor structure of content, accuracy, format, ease of use, and timeliness (Chin & Newsted, 1995; Doll, Xia, & Torkzadeh, 1994). Past research has demonstrated instrument validity (content validity, construct validity, and reliability [Straub, 1989]) as well as internal validity and statistical validity (Doll & Xia, 1997; Doll et al, 1994; Hendrickson, Glorfeld, & Cronan, 1994; Hendrickson, Massey, & Cronan, 1993; McHaney & Cronan, 1998; McHaney, Hightower, & White, 1999).…”

Section: End‐user Computing Satisfactionmentioning

confidence: 99%

See 1 more Smart Citation

Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain*

Somers¹,

Nelson²,

Karimi³

2003

Decision Sciences

162

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Over the past decade, organizations have made significant investments in enterprise resource planning (ERP) systems. The realization of benefits from these investments depends on supporting effective use of information technology (IT) and satisfying IT users. User satisfaction with information systems is one of the most important determinants of the success of those systems. Drawing upon a sample of 407 end users of ERP systems and working within the framework of confirmatory factor analysis (CFA), this study examines the structure and dimensionality, and reliability and validity of the end-user computing satisfaction (EUCS) instrument posited by Doll and Torkzadeh (1988). In response to Klenke's (1992) motion to cross-validate management information system (MIS) instruments and to retest the end user computing satisfaction instrument using new data, this study's results, consistent with previous findings, confirm that the EUCS instrument maintains its psychometric stability when applied to users of enterprise resource planning application software. Implications of these results for practice and research are provided.

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Section: Resultsmentioning

confidence: 99%

Section: End‐user Computing Satisfactionmentioning

confidence: 99%

Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain*

Somers¹,

Nelson²,

Karimi³

2003

Decision Sciences

162

View full text Add to dashboard Cite

show abstract

“…Traditionally, the user satisfaction measurement has been used to assess information and management systems, including classroom teaching in traditional educational contexts (Doll, Raghunathan, Lim, & Gupta, 1995;McHaney, Hightower, & Pearson, 2002;McHaney, Hightower, & White, 1999;Wang, 2003). This measurement cannot be evaluated using a single-item scale, such as global satisfaction, and it should incorporate different aspects of electronic-learner (e-learner) satisfaction to become a useful diagnosis instrument.…”

Section: Affective Dimension Analysismentioning

confidence: 99%

A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

Durán

Gallardo

Toral

et al. 2007

Int J Technol Des Educ

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Learner-centred approaches follow the prevailing tendency in modern University reforms which are primarily concerned about ''how people learn''. The methodologies can be learner-centred in the sense of placing the student as the main actor of the teaching-learning process by increasing his interactivity and participation, but also considering what is relevant for the student by measuring the learner satisfaction. In order to promote both aspects, this paper proposes a synchronous software-based active methodology that makes use of the simulations to show a virtual scenario to the students and challenge them to predict and discuss the evolution of the scenario. The proposed methodology improves the visual interface, promotes discussion both among students and with the teacher in a brainstorming stage and shows real-world examples. This software-based methodology has been implemented into an Electric Machinery course at the University of Seville (Spain), and the evaluation has been carried out considering both the affective and cognitive domains. Principal components analysis proves to be useful to highlight the dimensions with a higher influence on learner satisfaction and the affective and cognitive results confirm the successful implementation of the proposal.

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“…Originally developed by Doll and Torkzadeh [12] to measure a user's satisfaction with a specific application, the enduser computing satisfaction (EUCS) instrument has been widely used and cross-validated [18,36,43]. While the original instrument is relatively old, the item-factor loadings for the 12-item instrument have been remarkably stable.…”

Section: Introductionmentioning

confidence: 99%

A cross-cultural analysis of the end-user computing satisfaction instrument: A multi-group invariance analysis

Deng¹,

Doll²,

Al‐Gahtani³

et al. 2008

Information & Management

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EUCS test–retest reliability in representational model decision support systems

Cited by 39 publications

References 29 publications

Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain*

Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain*

A learning methodology using Matlab/Simulink for undergraduate electrical engineering courses attending to learner satisfaction outcomes

A cross-cultural analysis of the end-user computing satisfaction instrument: A multi-group invariance analysis

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