Search results for " quantitative analysis"

showing 10 items of 14 documents

Revista electrónica de investigación y evaluación educativa

2006

The investigation results are presented: "An investigation or research about the most relevant variables from the student’s point of view which influence the general opinion about the teacher’s performance in the Universidad Autonoma de Occidente". The problems about the influence from the students perception in evaluating their teachers is taken on from two complementary perspectives: The first constitutes the qualitative analysis which has as a support the group interviews realized in each one of the academic programs. The second involves the quantitative analysis based on multivariate statistic tools. These perspectives allow elaborating a model to establish the grade of relevance each o…

Análisis CuantitativoUniversityUniversidadAnálisis CualitativoEvaluaciónDesempeño DocenteQuantitative AnalysisStudent Perceptionslcsh:LB5-3640conducta del profesorEducationevaluación del profesorlcsh:Theory and practice of educationanálisis cualitativoTeacher PerformancePercepciones EstudiantilesStudent Perceptions Evaluation Quantitative Analysis Qualitative Analysis Teacher Performance UniversityQualitative AnalysisEvaluationuniversidad
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Critical analysis of conventional thermoeconomic approaches to the diagnosis of multiple faults in air conditioning units: Capabilities, drawbacks an…

2013

Abstract Faults diagnosis in air conditioning systems is a crucial activity, since malfunctions may induce heavy degradation of performance. Among the available techniques, thermoeconomic diagnosis has played a marginal role due to the difficulties encountered when applying the methodology to refrigeration plants. In this paper a critical analysis on capabilities and limits of thermoeconomic diagnosis is proposed. The reference plant is a 120 kWc air-cooled air conditioning system; a simulator is used to evaluate thermodynamic data under normal and faulty conditions, setting up “virtual experiments” to simulate each fault. Five malfunctions are imposed, either individually or simultaneously…

Computer sciencebusiness.industryThermoeconomic diagnosis Refrigeration Multiple faults Virtual experiments Quantitative analysisMechanical EngineeringRefrigerationHardware_PERFORMANCEANDRELIABILITYBuilding and ConstructionEnergy consumptionReliability engineeringRefrigerantAir conditioningSettore ING-IND/10 - Fisica Tecnica IndustrialebusinessGas compressorLeakage (electronics)International Journal of Refrigeration
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A New Approach to Investigate Students’ Behavior by Using Cluster Analysis as an Unsupervised Methodology in the Field of Education

2016

The problem of taking a set of data and separating it into subgroups where the ele- ments of each subgroup are more similar to each other than they are to elements not in the subgroup has been extensively studied through the statistical method of cluster analysis. In this paper we want to discuss the application of this method to the field of education: particularly, we want to present the use of cluster analysis to separate students into groups that can be recognized and characterized by common traits in their answers to a questionnaire, without any prior knowledge of what form those groups would take (unsupervised classification). We start from a detailed study of the data processing need…

Data processingPoint (typography)business.industrySettore FIS/08 - Didattica E Storia Della Fisica020208 electrical & electronic engineering05 social sciences050301 educationSample (statistics)02 engineering and technologyGeneral Medicinecomputer.software_genreDisease clusterField (computer science)Hierarchical clusteringSet (abstract data type)Quantitative analysis (finance)Education Unsupervised Methods Hierarchical Clustering Not-Hierarchical Clustering Quantitative Analysis0202 electrical engineering electronic engineering information engineeringArtificial intelligenceData miningbusiness0503 educationcomputerNatural language processingMathematics
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Using cluster analysis to study the modelling abilities of engineering undergraduate students: a case study

2016

In this contribution we discuss the application of a quantitative, non-hierarchical clustering method to make sense of the answers that 120 engineering undergraduates students at the University of Palermo, Italy, gave to four open-ended questions on the meaning of the modeling processes in Science. We will show that the use of non-hierarchical analysis allows us to easily separate students into groups that can be recognized and characterized by common traits in students’ answers without any prior knowledge on the part of the researcher of what form those groups would take (unbiased classification).

Education Clustering Quantitative analysis modeling engineering
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Does Culture Matter? : Measuring Cross-Country Perceptions of CSR Communication Campaigns about COVID-19

2022

The COVID-19 pandemic has brought several challenges to businesses and societies. In response, many corporations have supported local communities and authorities in the management of the pandemic. Although these initiatives, which can be considered forms of corporate social responsibility (CSR), were highly coupled with explicit CSR communication campaigns, little is known about whether these campaigns were effective. Previous research indicates that culture can shape people’s perceptions of CSR initiatives and communications, suggesting that businesses pay attention to careful consideration of cultural norms for effective CSR communication. However, the COVID-19 pandemic as a new CSR setti…

Environmental effects of industries and plantsquantitative analysisRenewable Energy Sustainability and the EnvironmentGeography Planning and DevelopmentCSR communication; culture cultural factors; strategic communication; business in society; COVID-19 pandemic; quantitative analysisculture cultural factorsTJ807-830COVID-19 pandemicCOVID-19yritysviestintäManagement Monitoring Policy and LawTD194-195kansainvälinen vertailuRenewable energy sourcesstrategic communicationEnvironmental sciencessosiaalinen vastuubusiness in societyCSR communicationyritysvastuujulkisuuskuvakulttuurierotGE1-350
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Comparison of LIBS and micro-XRF measurements on bronze alloys for monitoring plasma effects

2011

The laser-induced breakdown spectroscopy (LIBS) technique is often used as atomic spectroscopic technique for elemental analysis of materials. However, it presents some drawbacks that make an accurate quantitative analysis difficult. Since the plasma properties, such as spatial inhomogeneity and plume stoichiometry strongly depend on the experimental conditions, the measurements are less reproducible. In order to evaluate the measurement fluctuations, we propose to use the more established micro X-Ray fluorescence (μ-XRF) technique for validating LIBS data. In particular, the quantitative data, obtained by varying the laser fluence, the shot numbers and the temporal acquisition parameters, …

HistoryPlasma features LIBS parameters m-XRF bronze alloys quantitative analysisMaterials sciencebusiness.industryDetectorchemistry.chemical_elementLaserCollimated lightComputer Science ApplicationsEducationlaw.inventionOpticschemistrylawElemental analysisLaser-induced breakdown spectroscopybusinessSpectroscopyTinMonochromator
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Reconsidering Some Aspects of Inquiry Based Science Education: A Case Study on Model Based Inquiry

2014

Inquiry quantitative analysis mental models
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Use of Quantitative Morphological Analysis Combined with a Large Sample Size for Estimating Morphological Variability in a Case Study of Armoured Mit…

2015

Abstract The morphology of Oribatida and similar little-known groups of organisms varies considerably, which complicates morphological analysis (e.g. species descriptions). Qualitative analyses have been carried out mostly on a small number of individuals (n < 25). There is lack of studies dealing with mechanisms of how that variation can change in relation to sample size and insufficient discussion on whether qualitative or quantitative analysis is more appropriate for description of morphological variability. A total of 500 adult Carabodes subarcticus Trägårdh, 1902 Oribatida were collected from a local population. Six qualitative and six quantitative traits were characterised using li…

MultidisciplinarybiologyGeneral interestcarabodes subarcticusScienceQZoologybiology.organism_classificationqualitative and quantitative analysisCarabodidaesample sizeLarge sampleCarabodes subarcticusMorphological analysisMitemorphological variabilityAcarisize rangeOribatidaProceedings of the Latvian Academy of Sciences. Section B, Natural Sciences
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Non-Hierarchical Clustering as a method to analyse an open-ended questionnaire on algebraic thinking

2016

The problem of taking a data set and separating it into subgroups, where the members of each subgroup are more similar to each other than they are to members outside the subgroup, has been extensively studied in science and mathematics education research. Student responses to written questions and multiple-choice tests have been characterised and studied using several qualitative and/or quantitative analysis methods. However, there are inherent difficulties in the categorisation of student responses in the case of open-ended questionnaires. Very often, researcher bias means that the categories picked out tend to find the groups of students that the researcher is seeking out. In this paper, …

Multivariate analysisMathematical problemAlgebraic thinkinglcsh:Education (General)Education0502 economics and businessMathematics educationalgebraic thinking; cluster analysis; mathematics education; quantitative analysisCluster analysiAlgebraic numberQuantitative analysisCluster analysisMathematical logiclcsh:LC8-6691lcsh:Special aspects of educationquantitative analysis05 social sciences050301 educationalgebraic thinkingmathematics educationMathematics educationHierarchical clusteringQuantitative analysis (finance)Education Clustering Algebraiclcsh:L7-991Psychology0503 education050203 business & managementcluster analysisAlgebraic thinkingSouth African Journal of Education
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An unsupervised quantitative method to analyse students' answering strategies to a questionnaire

2018

Questionnaires are perhaps the most widely used instruments to assess conceptual learning in physics as well as in mathematics. In the field of physics and mathematics education research it is surely interesting to be able to use a questionnaire as a “diagnostic instrument,” i.e., to know details about relationships among student answers to the different questions. In recent years several research works focused on this goal by using different quantitative methodologies, like Factor, Model and Cluster Analyses. However, very few research works deepened the theoretical aspects of the Cluster Analysis. In this contribution, we discuss two Cluster Analysis methods with respect to this issue. By…

Quantitative analysiclustering quantitative analysis student reasoning lines.Settore FIS/08 - Didattica E Storia Della FisicaStudent reasoning lineClustering
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