scholarly journals Data Cleaning Needs and Issues: A Case Study of the National Reproductive Health Assessment (RHA) Data from Solomon Islands

2021 ◽  
Vol 13 (3) ◽  
pp. 23
Author(s):  
Richard D. Nair ◽  
Latileta L. Odrovakavula ◽  
Masoud Mohammadnezhad ◽  
K. Venkata Raman Reddy ◽  
Dilan A. Gohil ◽  
...  
Keyword(s):  
Reproductive Health ◽  
Data Cleaning ◽  
Solomon Islands ◽  
Research Work ◽  
Health Assessment ◽  
Data Entry ◽  
Validity And Reliability ◽  
Data Merging ◽  
True Representation

Data cleaning is an essential part of any research work without which the validity and reliability of the data could come under the spotlight. Aim: to document common errors found during the cleaning of datasets and suggests ways of minimizing errors during data entry process, reducing human errors throughout data cleaning. Design and Setting: a case study based on the national Reproductive Health Assessment (RHA) data conducted in Solomon Islands in 2013. Objective: The main objective of the Solomon Islands RHA was to establish the health status of reproductive aged women between the ages of 15 – 49 for the Solomon Islands. Method: data was collected using questionnaires and entered on to the SPSS database in the country by the local Solomon Islands research assistants who were trained by the Pacific Sexual and Reproductive Health Research Center (PSRHRC). The data was brought back to Fiji where the cleaning process took place. Results: findings of this case study showed that there were issues with the standardization of databases, database familiarization and data merging. Conclusion: more training is needed for researchers who are involved in data collection, data entry and data cleaning to minimize such errors which could give results which may not be a true representation of the indented study.

scholarly journals Diagnóstico de la cultura organizacional del programa educativo de Ingeniería Industrial de la Universidad Tecnológica de Tecamachalco

2020 ◽  
pp. 11-20
Author(s):  
Yolanda González-Díaz ◽  
Yolanda González-Díaz ◽  
Roberto Avelino-Rosas
Keyword(s):  
Organizational Culture ◽  
Educational Institution ◽  
Research Work ◽  
Codes Of Conduct ◽  
Competing Values Framework ◽  
Competing Values ◽  
Validity And Reliability ◽  
Framework Model ◽  
Technological University

This research work presents a diagnosis of the organizational culture of the Educational Program of Industrial Engineering of the Technological University of Tecamachalco, according to the findings found and where it can intervene to establish improvement strategies. To carry out the research and based on the literature review, the quantitative method was used through the Competing Values Framework Model as the most appropriate to diagnose the organizational culture in an educational institution, taking into consideration studies carried out in Mexico (García, Hernández, Vargas and Cuevas, December 2012; Sánchez, 2017; Chuc, 2017) and that for its application in a case study it was necessary to determine the validity and reliability of the instrument. In order to understand how an organization will act under different circumstances, it is necessary to know what basic assumptions it has, that is, to inquire into its organizational culture to know "shared values, habits, uses and customs, codes of conduct, work policies, traditions and objectives that are transmitted from one generation to another. " (Chiavenato, 2009, p. 120).

scholarly journals Formal Verification of Health Assessment Tools: a Case Study

2016 ◽  
Vol 324 ◽  
pp. 31-50 ◽  
Author(s):  
Jonas Santos Bezerra ◽  
Andrei Costa ◽  
Leila Ribeiro ◽  
Érika Cota
Keyword(s):  
Formal Verification ◽  
Health Assessment ◽  
Assessment Tools

Driver re-education after stroke - case study

2021 ◽  
Vol 64 (2) ◽  
pp. 3-8
Author(s):  
Beata Stasiak-Cieślak ◽  
Piotr Malawko ◽  
Tomasz Szczepański ◽  
Piotr Kosmowski
Keyword(s):  
Occupational Medicine ◽  
Research Work ◽  
Stroke Survivors ◽  
Literature Analysis ◽  
Diagnostic Problem ◽  
Functional Rehabilitation ◽  
Unilateral Neglect ◽  
Education Literature ◽  
Neglect Syndrome

The article presents the characteristics of a case study - stroke survivors with unilateral neglect syndrome, mechanisms used in re-education training and elements of functional rehabilitation. The focus was on an important diagnostic problem in the field of occupational medicine and the return to driving for people after stroke. The aim of the research work undertaken was to justify the experimental description of the driver after a stroke and to confirm the possibility of returning to driving, including compulsory re-education. Literature analysis, review of legal acts, characteristics of adaptation devices and conclusions from the case study were also carried out.

scholarly journals Designing Valid and Reliable Vignette Experiments for Survey Research: A Case Study on the Fair Gender Income Gap

2017 ◽  
Vol 7 (2) ◽  
Author(s):  
Peter M. Steiner ◽  
Christiane Atzmüller ◽  
Dan Su
Keyword(s):  
Experimental Design ◽  
Construct Validity ◽  
Factorial Design ◽  
Survey Research ◽  
Survey Design ◽  
Validity And Reliability ◽  
Design Elements ◽  
The Real ◽  
Income Gap

In survey research, vignette experiments typically employ short, systematically varied descriptions of situations or persons (called vignettes) to elicit the beliefs, attitudes, or behaviors of respondents with respect to the presented scenarios. Using a case study on the fair gender income gap in Austria, we discuss how different design elements can be used to increase a vignette experiment’s validity and reliability. With respect to the experimental design, the design elements considered include a confounded factorial design, a between-subjects factor, anchoring vignettes, and blocking by respondent strata and interviewers. The design elements for the sampling and survey design consist of stratification, covariate measurements, and the systematic assignment of vignette sets to respondents and interviewers. Moreover, the vignettes’ construct validity is empirically validated with respect to the real gender income gap in Austria. We demonstrate how a broad range of design elements can successfully increase a vignette study’s validity and reliability.

Knowledge management of automobile system failures through development of failure knowledge ontology from maintenance experience

2017 ◽  
Vol 14 (4) ◽  
pp. 425-445 ◽  
Author(s):  
Ajith Tom James ◽  
O.P. Gandhi ◽  
S.G. Deshmukh
Keyword(s):  
Knowledge Management ◽  
Service Providers ◽  
Research Work ◽  
Data Entry ◽  
Operating Conditions ◽  
Service Experience ◽  
Content Type ◽  
System Failures ◽  
Explicit Consideration ◽  
Ontological Model

Purpose The purpose of this paper is to develop an ontological model of failure knowledge of automobile systems that will enhance the knowledge management of automobile system failures, which will help for design and maintenance of automobiles. Failure knowledge of automobile systems and components gained through maintenance and repair can mitigate future failures, if integrated in the design. This is an outcome of this paper. Design/methodology/approach A failure coding scheme is developed for assimilating various entities of automobile failure knowledge and an ontological model is developed for its systematic structuring and representation. The developed failure code is a combination of alphanumeric and numeric code that incorporates ingredients of the failure knowledge, which will help database management, with reduced data entry time and storage space. Findings The maintenance of automobiles not only brings back the systems into operating conditions but also convey a lot of information regarding the failures. This is a useful input to the designers in development of reliable and maintainable automobile systems. A knowledge base can be created for automobile systems/components failures from their maintenance and service experience. Research limitations/implications Developed ontological model of automobile failure knowledge gained through maintenance experience can be shared across automobile manufacturers and service providers. This would help in design improvements, with ease and efficient undertaking of maintenance activities. This paper proposes the conceptual ontology structure, which is populated with three cases of automobile maintenance. Originality/value This research work is a first attempt to develop an ontological model for automobile failures from their maintenance and service experience. The novelty of the work is in its explicit consideration of all knowledge related to failures and maintenance of automobile systems, with their coding and structuring.

Systematic health assessment: A case study

2004 ◽  
Vol 15 (6) ◽  
pp. 270-274 ◽  
Author(s):  
Shelley Peacock
Keyword(s):  
Health Assessment

An Effective Damage Evaluation Method for Crane Girder Based on SVI and LSSVM

2014 ◽  
Vol 602-605 ◽  
pp. 370-374
Author(s):  
Hong Bo Xu ◽  
Jia Yu Li
Keyword(s):  
Evaluation Method ◽  
Damage Identification ◽  
Health Assessment ◽  
Support Vector ◽  
Damage Evaluation ◽  
Damage Level ◽  
Variation Index ◽  
Stiffness Variation ◽  
Actual Damage

Health assessment of the girder is crucial to an overhead traveling crane. This paper presents an intelligent damage identification method for the girder based on stiffness variation index (SVI) and least squares support vector machine (LSSVM). In the method, the SVI indicators, which have high resolution to environmental noise, serve as the damage feature to detect damage locations. Moreover, the SVI indicators are input to the LSSVM classifier for identifying the actual damage level of the girder. A case study on girder damage identification demonstrates that the method could determine the actual conditions of the girder structure accurately.

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