hierarchical cluster analysis
Recently Published Documents


TOTAL DOCUMENTS

474
(FIVE YEARS 165)

H-INDEX

35
(FIVE YEARS 6)

Author(s):  
Mikhail Fominykh ◽  
Joshua Weidlich ◽  
Marco Kalz ◽  
Ingunn Dahler Hybertsen

AbstractThis article contributes to the debate on the growing number of interdisciplinary study programs in learning and technology, and aims to understand the diversity of programs as well as curricula structure in an international landscape. Scientific fields share their knowledge and recruit young researchers by offering discipline-specific study programs. Thus, study programs are a reflection of the fields they represent. As technology-enhanced learning is considered to be particularly interdisciplinary and heterogenous, it is important to better understand the landscape of study programs that represents the field. This article presents an analysis of master programs in technology-enhanced learning. A systematic review and analysis of master programs offered in English has been conducted and further used as input for hierarchical cluster analysis. The study identified general characteristics, curricula structure, and organization of topics of these programs. Hierarchical cluster analysis and qualitative content analysis helped us to identify the major types of curricular structures and typical topics covered by the courses. Results show that most study programs rely on interdisciplinary subjects in technology-enhanced learning with a considerable number of subjects from education, learning and psychology. Subjects related to technology, information and computer science appear in such programs less frequently.


Tourism ◽  
2021 ◽  
Vol 70 (1) ◽  
pp. 53-66
Author(s):  
Gökçe Özdemir ◽  
Vesile Aslı Arzık

This is a study into the segmentation of social media users interested in traveling into groups and aims to ascertain if differences exist in benefits among segments. It is based on a survey that examines the benefits they see social media as having before, during, and after a trip to a destination, using their responses to generate a data-driven segmentation. Data from a total of 218 questionnaires were analyzed using factor and cluster analysis in sequence, specifically applying a hierarchical cluster analysis using the Ward method and a K-means algorithm. The analysis led to the identification of four useful types of social media user: info-seeker, communication-seeker, interaction-seeker, and hybrid segments, each of which seeks different things from social media and use it in different ways (e.g., to seek information, to see what other people have said about a destination, or to post their own experiences). As such, the implications of our findings offer useful insights for both scholars and destination marketers, highlighting the significance of offering appropriate marketing strategies for each type of segment.


2021 ◽  
Vol 13 (4) ◽  
pp. 359-372
Author(s):  
Dominika Doktorová ◽  
Dominika Kochanová

The study aims to find out the connection between perfectionists according to Parker (1997), Doktorová & Piteková, (2020a) namely functional, dysfunctional perfectionists and non-perfectionists, academic procrastination, and age in female students. Two questionnaires were used during the research, namely the Frost's Multidimensional Perfectionism Scale (F-MPS) and the Procrastination Scale for Student population (PSS), which we administered to the research sample (N = 344) in the age span of 18 to 25. Through the non-hierarchical cluster analysis (k-means) we identified three types of perfectionists in the sample. The comparison of three types of perfectionism with academic procrastination showed statistically significant differences in the following way: the dysfunctional perfectionists achieved the highest score on the scale of academic procrastination compared with functional perfectionists and non-perfectionists. Furthermore, we did not identify statistically significant differences between typology of perfectionism and age.


MAUSAM ◽  
2021 ◽  
Vol 60 (2) ◽  
pp. 185-196
Author(s):  
A. B. MAZUMDAR

An attempt has been made to identify coherent zones of southwest monsoon rainfall over the Indian region by employing hierarchical cluster analysis.  Examination of dendrograms produced by different fusion strategies revealed the presence of 13 nuclei clusters of meteorological subdivisions. Formation of these nuclei clusters could be interpreted by their average principal component (PC) scores and associated synoptic features of PCs.  Higher level inter-nuclei joinings have occurred in various fusion strategies to produce different types of clusters of subdivisions.                 A flexible strategy providing well separated groups of meteorological sub-divisions has been found to be suitable. The method has identified six homogeneous regions of rainfall over India. The meteorological subdivisions have been found to be evenly distributed in these coherent zones. The clustering obtained by this method has been reasonable and largely interpretable.


2021 ◽  
Vol 13 (23) ◽  
pp. 13084
Author(s):  
Vassilios Dotas ◽  
Dimitrios Gourdouvelis ◽  
Lampros Hatzizisis ◽  
Ioannis Kaimakamis ◽  
Ioannis Mitsopoulos ◽  
...  

The aim of this study was the detailed characterization of the existing zootechnical and financial management applied in broiler poultry farms in the Region of Epirus, Greece. The current situation was captured through the formation of a typology on the structural characterization of broiler farming system. The variables were recorded based on data from a stratified random sample according to Neyman’s methodology of 110 poultry farms. In the typology, hierarchical cluster analysis was applied to identify differences between farms and to support most of this differentiation. Chebyshev distance was used to maximize the effect of the cluster elements distance, as well as Ward’s clustering method, which aims to achieve greater homogeneity within the clusters. Bonferroni multiple comparison tests were used to evaluate the differences. Four clusters of different farm types were identified from the hierarchical cluster analysis. In conclusion, the production system of broiler farms in Epirus is intensive, especially in large farms that have made significant investments in fixed capital and implement successful management. However, the poultry sector in Epirus has further margin for improvement in both its productivity and profitability.


Sign in / Sign up

Export Citation Format

Share Document