A Study on the Propensity to cheat in University Exams: Development and Validation Process of the Questionnaire on Cheating in University Exams (QCUE)

2021 ◽  
Vol 42 (spécial) ◽  
pp. 69-101
Author(s):  
Eric Frenette ◽  
Sylvie Fontaine ◽  
Marie-Hélène Hébert ◽  
Mikhaël Éthier
Keyword(s):  
Peer Influence ◽  
Conceptual Analysis ◽  
Scientific Literature ◽  
Institutional Context ◽  
French Language ◽  
Validity Evidence ◽  
Control Performance ◽  
Validation Process ◽  
Performance Goal ◽  
Development And Validation

This paper presents the seven-step approach to maximizing the evidence of validity that led to the development of the Questionnaire sur la tricherie aux examens à l’université (QTEU) [Questionnaire on Cheating in University Exams (QCUE)]. Composed of 28 items divided into 7 factors (propensity to cheat in exams, peer influence, cheating methods, institutional context, perception of control, performance goal, and commitment to one’s studies), the QCUE design was based on a comprehensive conceptual analysis of the scientific literature on cheating in exams, and on the work of Frenette, Hébert, Thibodeau, and Ndinga (2018) on how to develop a questionnaire maximizing the accumulation of validity evidence. With good psychometric properties, the QCUE meets a need for a French-language questionnaire on the propensity to cheat in exams and allows to measure the scope of cheating among university students.

scholarly journals Evaluating the Implementation of the “Build-Back-Better” Concept for Critical Infrastructure Systems: Lessons from Saint-Martin’s Island Following Hurricane Irma

2021 ◽  
Vol 13 (6) ◽  
pp. 3133
Author(s):  
Rita Der Sarkissian ◽  
Anas Dabaj ◽  
Youssef Diab ◽  
Marc Vuillet
Keyword(s):  
Decision Making ◽  
Conceptual Analysis ◽  
Scientific Literature ◽  
Critical Infrastructure ◽  
Methodological Approach ◽  
Infrastructure Systems ◽  
Before And After ◽  
Study Offer ◽  
Hurricane Irma ◽  
Operational Aspects

A limited number of studies in the scientific literature discuss the “Build-Back-Better” (BBB) critical infrastructure (CI) concept. Investigations of its operational aspects and its efficient implementation are even rarer. The term “Better” in BBB is often confusing to practitioners and leads to unclear and non-uniform objectives for guiding accurate decision-making. In an attempt to fill these gaps, this study offers a conceptual analysis of BBB’s operational aspects by examining the term “Better”. In its methodological approach, this study evaluates the state of Saint-Martin’s CI before and after Hurricane Irma and, accordingly, reveals the indicators to assess during reconstruction projects. The proposed methods offer practitioners a guidance tool for planning efficient BBB CI projects or for evaluating ongoing programs through the established BBB evaluation grid. Key findings of the study offer insights and a new conceptual equation of the BBB CI by revealing the holistic and interdisciplinary connotations behind the term “Better” CI: “Build-Back-resilient”, “Build-Back-sustainable”, and “Build-Back-accessible to all and upgraded CI”. The proposed explanations can facilitate the efficient application of BBB for CI by operators, stakeholders, and practitioners and can help them to contextualize the term “Better” with respect to their area and its CI systems.

scholarly journals The development and validation of prognostic models for overall survival in the presence of missing data in the training dataset: a strategy with a detailed example

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Kara-Louise Royle ◽  
David A. Cairns
Keyword(s):  
Overall Survival ◽  
Missing Data ◽  
Prognostic Model ◽  
Prognostic Index ◽  
Risk Groups ◽  
Prognostic Models ◽  
Training Dataset ◽  
Validation Process ◽  
Test Dataset ◽  
Development And Validation

Abstract Background The United Kingdom Myeloma Research Alliance (UK-MRA) Myeloma Risk Profile is a prognostic model for overall survival. It was trained and tested on clinical trial data, aiming to improve the stratification of transplant ineligible (TNE) patients with newly diagnosed multiple myeloma. Missing data is a common problem which affects the development and validation of prognostic models, where decisions on how to address missingness have implications on the choice of methodology. Methods Model building The training and test datasets were the TNE pathways from two large randomised multicentre, phase III clinical trials. Potential prognostic factors were identified by expert opinion. Missing data in the training dataset was imputed using multiple imputation by chained equations. Univariate analysis fitted Cox proportional hazards models in each imputed dataset with the estimates combined by Rubin’s rules. Multivariable analysis applied penalised Cox regression models, with a fixed penalty term across the imputed datasets. The estimates from each imputed dataset and bootstrap standard errors were combined by Rubin’s rules to define the prognostic model. Model assessment Calibration was assessed by visualising the observed and predicted probabilities across the imputed datasets. Discrimination was assessed by combining the prognostic separation D-statistic from each imputed dataset by Rubin’s rules. Model validation The D-statistic was applied in a bootstrap internal validation process in the training dataset and an external validation process in the test dataset, where acceptable performance was pre-specified. Development of risk groups Risk groups were defined using the tertiles of the combined prognostic index, obtained by combining the prognostic index from each imputed dataset by Rubin’s rules. Results The training dataset included 1852 patients, 1268 (68.47%) with complete case data. Ten imputed datasets were generated. Five hundred twenty patients were included in the test dataset. The D-statistic for the prognostic model was 0.840 (95% CI 0.716–0.964) in the training dataset and 0.654 (95% CI 0.497–0.811) in the test dataset and the corrected D-Statistic was 0.801. Conclusion The decision to impute missing covariate data in the training dataset influenced the methods implemented to train and test the model. To extend current literature and aid future researchers, we have presented a detailed example of one approach. Whilst our example is not without limitations, a benefit is that all of the patient information available in the training dataset was utilised to develop the model. Trial registration Both trials were registered; Myeloma IX-ISRCTN68454111, registered 21 September 2000. Myeloma XI-ISRCTN49407852, registered 24 June 2009.

Development and Validation Process of an Innovative Instrument to Assess Perception of Research University Image

2015 ◽  
Vol 3 (3) ◽  
pp. 47-53
Author(s):  
Noordini Abdullah ◽  
Nooraini Mohamad Sheriff
Keyword(s):  
Convergent Validity ◽  
Quantitative Assessment ◽  
Research University ◽  
Discriminant Validity ◽  
Brand Image ◽  
Qualitative Inquiry ◽  
Validation Process ◽  
Postgraduate Students ◽  
New Instrument ◽  
Development And Validation

Objective - This paper reports the development of an innovative scale to measure the perceived brand image of Research University among postgraduate students. Methodology/Technique - Based on an exploratory qualitative inquiry and quantitative assessment, a seven factor scale of Research university brand image was developed. A multistep approach was used to develop and validate a multidimensional brand image scale Findings - The multistep approach demonstrated that the new brand image scale is reliable and valid. Basing on the results from two national samples it can be concluded that perceived brand image actually represent five components of brand image associated with satisfaction in terms of construct, convergent, discriminate validity. Novelty - This research offers essential theoretical and reasonable implications for researchers and academicians. Type of Paper - Empirical Keywords: Brand Image; Research University; new instrument; convergent validity; discriminant validity

Consumer relationship proneness revisited: A multidimensional formative measure

2019 ◽  
Vol 62 (6) ◽  
pp. 758-779
Author(s):  
Kamilia Bahia
Keyword(s):  
Relationship Marketing ◽  
Retail Banking ◽  
Theory And Practice ◽  
Measurement Scale ◽  
Marketing Theory ◽  
Validation Process ◽  
Banking Services ◽  
Development And Validation ◽  
Commercial Relationships ◽  
Item Scale

Despite the interest of consumer relationship proneness (CRP) in consumer behavior research and managerial practice in Relationship Marketing, its past conceptualization and measurement bear several shortcomings. To address them, this article first develops an integrative conceptualization of CRP based on the motivations that animate the consumer and lead him or her to engage in commercial relationships. Then, it reports the development and validation process of a comprehensive, multidimensional measurement scale for CRP. This multiphase process has resulted in a 19-item scale that measures CRP across four formative motivational facets that were validated in two different sectors: retail banking services and apparel stores. This scale exhibits satisfactory psychometric qualities in both sectors. The article concludes with implications for marketing theory and practice.

scholarly journals Teaching Digital Competence and Eco-Responsible Use of Technologies: Development and Validation of a Scale

2020 ◽  
Vol 12 (18) ◽  
pp. 7721 ◽  
Author(s):  
Raquel Barragán-Sánchez ◽  
María-Carmen Corujo-Vélez ◽  
Antonio Palacios-Rodríguez ◽  
Pedro Román-Graván
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Digital Technologies ◽  
Equation Modeling ◽  
Content Validation ◽  
Digital Competence ◽  
Validation Process ◽  
Modeling Techniques ◽  
Development And Validation

The environmental impact produced by digital technologies is one of the fundamental contents to be developed by teachers of the 21st century. Different investigations raise the need to redesign education towards sustainable models and promote a critical look at digital technologies. The main objective of this manuscript is to design a valid, reliable and useful scale to measure self-perceived teacher digital competence regarding the eco-responsible use of technologies. The instrument has been designed based on a detailed analysis of the main frameworks for the development of digital competence in Europe: INTEF and DigCompEdu. A content validation process has been followed through the expert judgment method. Subsequently, its reliability and validity are estimated using structural equation modeling techniques. The results obtained guarantee the reliability and validity of the model. Therefore, the need to establish environmental teacher training plans and more awareness about the eco-responsible use of technologies is established.

Development of GT24 and GT26 (Upgrades 2011) Reheat Combustors, Achieving Reduced Emissions and Increased Fuel Flexibility

2013 ◽  
Author(s):  
K. Michael Düsing ◽  
Andrea Ciani ◽  
Urs Benz ◽  
Adnan Eroglu ◽  
Klaus Knapp
Keyword(s):  
Fuel Injection ◽  
Evolutionary Design ◽  
Combustion System ◽  
Validation Process ◽  
Load Range ◽  
Fuel Flexibility ◽  
Wide Range ◽  
Overall Performance ◽  
Wobbe Index ◽  
Development And Validation

The recent development of the Alstom’s sequential combustion system for the GT24 (60Hz) and GT26 (50Hz) upgrades 2011 is a perfect example of evolutionary design optimizations. Better overall performance is achieved through improved SEV burner aerodynamics and fuel injection, while keeping the main features of the sequential burner technology. In particular this results in further reduced NOx and CO emissions over widest possible load range and allows operation with fuel gases with up to 18% of higher hydrocarbons (C2+) or a low Wobbe index. An extensive validation of the new sequential burners for GT24 and GT26 has been conducted, with a wide range of validation tools. This has included high pressure sector rig testing and full-engine tests at the Alstom Power Plant Birr, Switzerland. This paper presents the development and validation process, in terms of evolutionary design modifications and successful burner scaling, of the GT24 and GT26 (upgrades 2011) reheat combustors from concept phase to engine validation.

scholarly journals Patient-Satisfaction Measures in Anesthesia

2013 ◽  
Vol 119 (2) ◽  
pp. 452-478 ◽  
Author(s):  
Sarah F. Barnett ◽  
Ravi K. Alagar ◽  
Michael P. W. Grocott ◽  
Savvas Giannaris ◽  
John R. Dick ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Patient Satisfaction ◽  
Outcome Measure ◽  
Validation Process ◽  
Validated Questionnaires ◽  
Academic Settings ◽  
Development And Validation ◽  
Satisfaction Measures

Abstract Patient satisfaction is an important measure of the quality of health care and is used as an outcome measure in interventional and quality improvement studies. Previous studies have found that there are few appropriately developed and validated questionnaires available. The authors conducted a systematic review to identify all tools used to measure patient satisfaction with anesthesia, which have undergone a psychometric development and validation process, appraised the quality of these processes, and made recommendations of tools that may be suitable for use in different clinical and academic settings. There are a number of robustly developed and subsequently validated instruments, however, there are still many studies using nonvalidated instruments or poorly developed tools, claiming to accurately assess satisfaction with anesthesia. This can lead to biased and inaccurate results. Researchers in this field should be encouraged to use available validated tools, to ensure that patient satisfaction is measured and reported fairly and accurately.

scholarly journals IC-Behavior: An interdisciplinary taxonomy of behaviors

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0252003
Author(s):  
Kai R. Larsen ◽  
Lauren J. Ramsay ◽  
Cristina A. Godinho ◽  
Victoria Gershuny ◽  
Dirk S. Hovorka
Keyword(s):  
International Classification ◽  
Academic Disciplines ◽  
World Health ◽  
International Classification Of Functioning ◽  
Validation Process ◽  
Behavioral Theories ◽  
The World ◽  
Development And Validation ◽  
Behavior Taxonomy

Academic disciplines are often organized according to the behaviors they examine. While most research on a behavior tends to exist within one discipline, some behaviors are examined by multiple disciplines. Better understanding of behaviors and their relationships should enable knowledge transfer across disciplines and theories, thereby dramatically improving the behavioral knowledge base. We propose a taxonomy built on the World Health Organization’s International Classification of Functioning, Disability, and Health (ICF), but design the taxonomy as a stand-alone extension rather than an improvement to ICF. Behaviors considered important enough to serve as the dependent variable in articles accepted for publication in top journals were extracted from nine different behavioral and social disciplines. A six-step development and validation process was employed, leading to the final taxonomy. A hierarchy of behaviors under the top banner of Engaging in activities/participating, reflective of ICF’s D. hierarchy was constructed with eight immediate domains addressing behaviors ranging from learning, exercising, self-care, and substance use. The resulting International Classification of Behaviors (IC-Behavior), provides a behavior taxonomy targeted towards the interdisciplinary integration of nomological networks relevant to behavioral theories. While IC-Behavior has been labeled v.1.0 to communicate that it is by no means an endpoint, it has empirically shown to provide flexibility for the addition of new behaviors and is tested in the health domain.

scholarly journals Development and Validation of a Checklist to Assess Proficient Performance of Basketball Straight Speed Dribbling Skill

2020 ◽  
Vol 71 (1) ◽  
pp. 21-31
Author(s):  
Fernando Garbeloto dos Santos ◽  
Matheus Maia Pacheco ◽  
Luciano Basso ◽  
Flavio Henrique Bastos ◽  
Go Tani
Keyword(s):  
Children And Adolescents ◽  
High Reliability ◽  
Learning And Development ◽  
Validation Process ◽  
Proficiency Levels ◽  
Development And Validation

AbstractThe aim of this study was to develop and validate a checklist to assess proficient performance of basketball straight speed dribbling skill. The sample was composed of 100 children and adolescents between 7 and 15 years of age with and without structured practice in basketball. The validation process tested the validity domain, decision, tendencies, reliability, responsiveness, and objectivity. The results show that the checklist contains criteria that represent the speed dribbling skill and is sensible to distinguish between different proficiency levels of performance. The results also expressed high reliability and objectivity (intra and inter-rater). In light of the findings, we concluded that the checklist can be used to reliably analyze performance and evaluate the process of learning and development of the straight speed dribbling skill.

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