Statistical Analysis of Personnel Data Using Factor Scoring Cluster Analysis and Multidimensional Scaling

1973 ◽  
Author(s):  
Robert R. Read ◽  
Richard S. Elster ◽  
Gerald L. Musgrave ◽  
John W. Creighton ◽  
William H. Githens
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Multidimensional Scaling

Evaluating dialect in discourse: Teachers' and teenagers' responses to young English speakers in Wales

1999 ◽  
Vol 28 (3) ◽  
pp. 321-354 ◽  
Author(s):  
PETER GARRETT ◽  
NIKOLAS COUPLAND ◽  
ANGIE WILLIAMS
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Multidimensional Scaling ◽  
English Speakers ◽  
Additive Effects ◽  
School Students ◽  
Dialect Variation ◽  
Regional Dialect ◽  
English Dialect

School students (15–16 years) in six regions of Wales were recorded telling stories in their local English dialects. Some of these narratives were used as samples representing the main English dialect regions in Wales. Comparable groups of students (n = 169) and a group of teachers (n = 47) rated the audio-recorded speakers on a number of scales of affiliation, status, and Welshness. Statistical analysis of their ratings, employing cluster analysis and multidimensional scaling, made it possible to detect some of the competing or additive effects of dialect and narrative features. Judgments of “Welshness” of the speaker/narratives were grounded in the regional dialect properties; but other judgments, such as the likability of the speakers, tended to draw on features of both dialect and narrative. In addition, comparison of students and teachers revealed differences in their evaluations of particular dialect communities and the characteristics of the narratives. The findings illustrate the importance of approaching the analysis of dialect variation within the broader context of speech and discourse performance.

Situating Valency Theory in functional-cognitive space

2018 ◽  
Vol 16 (2) ◽  
pp. 348-398
Author(s):  
Francisco Gonzálvez-García ◽  
Christopher S. Butler
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Multidimensional Scaling ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Negative Evaluation ◽  
Questionnaire Item ◽  
Broad Group ◽  
Cognitive Space ◽  
German Syntax

Abstract This article builds on the work reported in Butler and Gonzálvez-García (2014), in which 16 functional and/or cognitive/constructionist theories were compared on the basis of questionnaires completed by experts and a reading of the literature on each approach. The aim is to extend this work to cover Valency Theory (VT henceforth), arguably the most widely used approach to the study of German syntax. We first report on a statistical analysis (correlation, multidimensional scaling and hierarchical cluster analysis) of the data from the questionnaires completed by two VT experts, in relation to those completed by experts in other approaches. We then present an analysis of each item in the questionnaire in relation to VT, leading to a positive or negative evaluation for each questionnaire item. The results are again analysed statistically. The picture that emerges is of a theory which, though distinctive, has clear relationships with a broad group of cognitively-oriented approaches.

scholarly journals Morphological phenotypic dispersion of garlic cultivars by cluster analysis and multidimensional scaling

2014 ◽  
Vol 71 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Anderson Rodrigo da Silva ◽  
Paulo Roberto Cecon ◽  
Carlos Tadeu dos Santos Dias ◽  
Mário Puiatti ◽  
Fernando Luiz Finger ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Multidimensional Scaling

scholarly journals Búsqueda de patrones para mejorar productos y servicios en las bibliotecas

2017 ◽  
Vol 31 (72) ◽  
pp. 209
Author(s):  
Esther Marina Ruiz Lobaina ◽  
Pedro Lázaro Romero Suárez
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Data Management ◽  
Graphical Representation ◽  
Bibliographic Database ◽  
Statistical Algorithms ◽  
Hidden Patterns ◽  
Selective Dissemination Of Information ◽  
Data Group ◽  
Bar Graphs

Este trabajo muestra los resultados alcanzados durante la búsqueda de patrones ocultos, aplicando algoritmos estadísticos, a una base de datos bibliográfica. Para esta investigación se seleccionó el software WinIDAMS v.1.3, que utiliza para el manejo de los datos la construcciónde un dataset IDAMS (BUILD) y la agrupación de datos (AGGREG), para el análisis estadístico los algoritmos Análisis de conglomerados (CLUSFIND) y los diagramas de dispersión (SCAT). Para las salidas de los resultados este software ofrece las tablas multidimensionales, capaces de crear por cada grupo de variables seleccionadas una tabla interna con resultados como la frecuencia y la media aritmética, que fueron las seleccionadas para estas pruebas, mientras que para la representación gráfica de los resultados se decidió utilizar los histogramas porque son gráficas de barras que permiten interpretar de forma muy fácil y rápida el comportamiento de las variables seleccionadas para el análisis. Este estudio encontró patrones a través de la clusterización con los cuales fue posible potenciar los servicios de difusión selectiva de la información y proponer nuevos servicios para que formen parte de los productos que brinda la biblioteca. This work shows the results obtained during the search for hidden patterns using statistical algorithms, in a bibliographic database. For this research the WinIDAMS v.1.3 software, used for data management, building an IDAMS dataset (BUILD) and Data Group (AGGREG) for statistical analysis algorithms, Cluster analysis was selected (CLUSFIND) and scatterplots (SCAT). In addition to the outputs of the results this software provides multidimensional tables, able to create for each group of selected variables, an internal table with results such as frequency and average arithmetic were selected for these tests, while for graphical representation of theresults, it was decided to use histograms, because they are bar graphs that allow us to interpret very easily and quickly, the behavior of the variables selected for analysis. This study found patterns through clustering, with which services could enhance Selective Dissemination of Information and propose new services, to become part of the products offered by the library.

scholarly journals Distribution of naked amoebae in the soils of the steppe zone of Ukraine

2020 ◽  
pp. 159-166
Author(s):  
M. Patsyuk ◽  
Keyword(s):  
Cluster Analysis ◽  
Multidimensional Scaling ◽  
Species Complex ◽  
Steppe Zone ◽  
Common Species ◽  
Molecular Clusters ◽  
The Other ◽  
Steppe Region ◽  
Species Complexes ◽  
Naked Amoebae

As a result of the study, in the steppe zone of Ukraine (Odessa, Mykolaiv, Kirovohrad region), 12 species of naked amoebas were identified, which according to the modern Eukaryot system belong to three molecular clusters Tubulinea Smirnov et al., 2005, Discosea Cavalier-Smith, 2004., Discoba Simpson and Hampl et al., 2009. This species Vahlkampfia sp. (1), Vahlkampfia sp. (2), Deuteramoeba mycophaga Page, 1988, Saccamoeba stagnicola Page, 1974, Vexillifera sp., Vannella sp. Ripellaplatypodia Smirnov, Nassonova, Chao et Cavalier-Smith, 2007, Cochliopodium sp. (1), Mayorella sp., Thecamoeba striata Penard, 1890, Stenamoeba stenopodia (Page, 1969) Smirnov et al., 2007, Acanthamoeba sp. (1). In the studied steppe soils, the most common were Vahlkampfia sp. (2), S. stenopodia, Vahlkampfia sp. (1), Vexillifera sp., Cochliopodium sp. (1); the least common – R. platypodia, D. mycophaga, T. striata, Mayorella sp. As a result of the cluster analysis, it was found that the largest share of common species is observed between Mykolaiv and Kirovograd regions (0.71) and Odessa and Kirovograd regions (0.53); the smallest is between the Odessa and Mykolaiv regions (0.43). According to the results of cluster analysis, the faunistic complexes of soil species of amoebae of the steppe region of Ukraine are united into two clusters: one of them being complexes characteristic of the Odessa region, and the other complexes of the Mykolaiv and Kirovograd regions. According to the results of nonparametric multidimensional scaling, it is established that the species complex of soil amoebae in the Kirovograd and Mykolaiv regions is determined by the increased soil temperature and acidity, compared to the Odessa region. As for moisture, this factor has little effect on the species complexes amoebae steppe region of Ukraine.

scholarly journals Nanomaterials’ Influence on the Performance of Thermal Insulating Mortars—A Statistical Analysis

2020 ◽  
Vol 10 (7) ◽  
pp. 2219 ◽  
Author(s):  
Marco Pedroso ◽  
Inês Flores-Colen ◽  
José Dinis Silvestre ◽  
Maria da Glória Gomes
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Regression Models ◽  
Production Efficiency ◽  
Bivariate Analysis ◽  
Insulating Materials ◽  
Thermal Insulating ◽  
Mechanical And Physical Properties ◽  
Overall Performance ◽  
Thermal Conductivities

This research provides a statistical analysis of the mechanical and physical properties of thermal insulating mortars developed in the laboratory and by the industry with and without the incorporation of nanomaterials. This was evaluated by carrying out a uni and bivariate analysis, principal components and factor analysis, cluster analysis, and the application of regression models. The results show that it is possible to find associations between these mortars’ properties, but also how these formulations’ development can be approached in the future to achieve better overall performance. They also show that the use of nanomaterials, namely silica aerogel, significantly improved the mortars’ thermal insulation capabilities, allowing us to obtain mortar formulations with thermal conductivities below the values presented by classic thermal insulating materials. Therefore, with this investigation, other researchers can support their product-development choices when incorporating nanomaterials to reduce mortars’ thermal conductivities, increasing their production efficiency, overall multifunctionality, and sustainability.

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