scholarly journals Maladaptive use of ICT in adolescence: Profiles, supervision and technological stress

Comunicar ◽  
2020 ◽  
Vol 28 (64) ◽  
pp. 29-38 ◽  
Author(s):  
Adoración Díaz-López ◽  
Javier-Jerónimo Maquilón-Sánchez ◽  
Ana-Belén Mirete-Ruiz
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Descriptive Analysis ◽  
Hierarchical Cluster ◽  
The Internet ◽  
Chi Square ◽  
Ict Use ◽  
Significant Relationships ◽  
The Relationship ◽  
Technological Stress

ICT use during adolescence is now commonplace. Its power of attraction and the vulnerable condition of adolescents are giving rise to growing concern, aggravated by the imminent consequences of such synergy. In order to deepen understanding of this relationship, the following research objectives were formulated: a) Analyze the frequency of ICT use; b) Examine family supervision; c) Identify stress associated with the use of ICTs; d) Establish profiles of ICT use. The sample consisted of 1,101 adolescents of 10 educational centers in Southeastern Spain. A descriptive analysis was performed and contingency tables, Chi Square, Cramer V, hierarchical cluster analysis and one-factor ANOVA were used. The results show that more than 60% of adolescents use ICTs without supervision and that 1 out of 3 feel stressed in the absence of the Internet. In addition, statistically significant relationships were found between the frequency of ICT use and stress, as well as with family supervision. A solution of three groups or profiles of use was obtained. 45% of the subjects display maladaptive use or signs of it. The study concludes by stressing that the relationship between adolescents and ICTs is far from ideal and warns of the urgent need to train adolescents and parents in the responsible use of ICTs. El uso de las TIC durante la adolescencia es un hecho normalizado en la actualidad. Su poder de atracción y la condición de vulnerabilidad de los púberes están suscitando una creciente preocupación, agravada por las consecuencias inminentes de tal sinergia. Con la finalidad de profundizar en esta relación, se formulan los siguientes objetivos de investigación: a) Analizar la frecuencia de uso de las TIC; b) Examinar la supervisión familiar; c) Identificar estrés asociado al uso de las TIC; d) Establecer perfiles de uso de las TIC. La muestra estuvo compuesta por 1.101 adolescentes de 10 centros educativos del Sureste Español. Se realizó un análisis descriptivo y se emplearon tablas de contingencia, Chi Cuadrado, V de Cramer, análisis de clúster jerárquico y ANOVA de un factor. Los resultados arrojan que más del 60% de los adolescentes usa las TIC sin supervisión y que uno de cada tres se siente estresado ante la ausencia de Internet. Además, se encontraron relaciones estadísticamente significativas entre la frecuencia de uso de las TIC y el estrés, así como con la supervisión familiar. Se obtuvo una solución de tres grupos o perfiles de uso. El 45% de los sujetos tiene un uso desadaptado o indicios del mismo. Se concluye subrayando que la relación entre adolescentes y TIC dista mucho de la deseada y se alerta de la imperiosa necesidad de formar a adolescentes y a progenitores en el uso responsable de las TIC.

Novice-Expert Differences in the Cognitive Representation of System Features: Mental Models and Verbalizable Knowledge

1988 ◽  
Vol 32 (4) ◽  
pp. 219-223 ◽  
Author(s):  
Kathy A. Hanisch ◽  
Arthur F. Kramer ◽  
Charles L. Hulin ◽  
Robert Schumacher
Keyword(s):  
Cluster Analysis ◽  
Mental Models ◽  
Hierarchical Cluster Analysis ◽  
Mental Model ◽  
Training Programs ◽  
Hierarchical Cluster ◽  
Cognitive Representation ◽  
Knowledge Test ◽  
Scaling Technique ◽  
The Relationship

The relationship between users' mental models and their verbalizable knowledge of a system were investigated in a field study. Trained and untrained users of a new phone system rated the similarity of use of nine phone features. Their ratings of the features were used in a multidimensional scaling technique and hierarchical cluster analysis to obtain their mental models of the system. Individuals' ratings of features on unidimensional scales about the use of the features and scores obtained on a knowledge test were reflected in their mental models. Mental models of the two novice groups' were very similar except for the perception of one feature; it was more accurately depicted in the mental model of users who attended than those who did not attend a training program. Trainers' and system designers' mental models of the phone system were evaluated to determine an “appropriate” expert mental model. A comparison of the “expert” mental model to the novices' mental models suggested that several features were inaccurately perceived by the novices. Using the discrepancies between the expert and novices' mental models to design training programs for systems is discussed. A novel way to design or redesign systems based on novices' mental models of systems is proposed.

scholarly journals Segmenting Inbound Tourists Using Destination Image

Tourism ◽  
2021 ◽  
Vol 69 (1) ◽  
pp. 47-57
Author(s):  
Dev Jani
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Travel Behavior ◽  
Statistical Significance ◽  
Hierarchical Cluster ◽  
Destination Image ◽  
Cluster Solution ◽  
Multiple Choice Questions ◽  
Chi Square ◽  
African Context

The purpose of this study was to segment inbound tourists to Tanzania using destination image. A self-administered structured questionnaire was conveniently distributed to inbound tourist to Tanzania in two major international airports in Tanzania. The questionnaire captured destination image using a five point Likert type scale while the demographics, sources of travel information, and travel behavior were captured using dichotomy or multiple choice questions. A total of 625 dully filled questionnaires were used for data analysis. A factor-cluster analysis was used in analyzing the data, with factor analysis serving in reducing the items into few dimensions that were subsequently subjected to stepwise cluster analysis. A hierarchical cluster analysis was used to explore the possible numbers of clusters followed by hierarchical cluster analysis (k-means) that confirmed the appropriate number of clusters. A three cluster solution was obtained with follow up one way ANOVA, t-tests, and Chi-square indicating statistical significance differences between the clusters basing on travel motives and travel behavior. The findings offer practical implications to destination managers on the use of destination image in marketing destinations to different tourist segments. This study explored the possible tourist segments basing on destination image of less researched African context.

scholarly journals Brand Experience Clustering and Depiction of Brand Satisfaction, Brand Loyalty and Emotional Confidence

2020 ◽  
Vol 12 (1) ◽  
pp. 111-124
Author(s):  
Wajid H Rizvi ◽  
Salman Memon ◽  
Abdul Samad Dahri
Keyword(s):  
Cluster Analysis ◽  
Significant Influence ◽  
Hierarchical Cluster Analysis ◽  
Brand Loyalty ◽  
Structural Model ◽  
Hierarchical Cluster ◽  
Equation Modeling ◽  
Brand Experience ◽  
The Relationship ◽  
Brand Satisfaction

AbstractBrand experience (BE) is essential to depict long-term consumer brand relationships; this study investigates the influence of brand experience on emotional confidence (EC) and subsequent impact of brand satisfaction (BS) and brand loyalty (BL) in the context of car buying. Structural equation modeling was used to affirm the hypothesized relationships. This study further explores dimensions of brand experience: sensory, affective, intellectual and behavioral concerning EC, BS, and BL. Hierarchical cluster analysis was performed to depict the relationship as a consequence, and four clusters were identified. The results of the structural model suggest that there is a positive and statistically significant influence of BE on EC, there is a positive and statistically significant influence of EC on BS, and there is a positive and statistically significant influence of BS on BL. When the direct path from EC to BL was added to the model, it increased the variance explained in BL and coefficient of EC was higher than the coefficient of BS suggesting that EC is an important construct within the formwork. The results of hierarchical cluster analysis identified four clusters; the relationship among EC, BS and BL showed interesting patterns; there were higher correspondents between EC and BL than between BS and BL; the pattern was consistent with the results of the structural model. The data was collected from car showrooms across Karachi city; the respondents were users of the brand.

scholarly journals Efficiency of small enterprises of protected agriculture in the adoption of innovations in Mexico

2018 ◽  
pp. 52-62 ◽  
Author(s):  
Juan Manuel Vargas Canales ◽  
María Isabel Palacios Rangel ◽  
Jorge Aguilar Ávila ◽  
Joaquín Huitzilihuitl Camacho Vera ◽  
Jorge Gustavo Ocampo Ledesma ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Small Enterprises ◽  
Agricultural Systems ◽  
Chi Square ◽  
Extension Services ◽  
Adoption Of Innovations ◽  
Chi Square Test ◽  
Collective Development

The aim of this research was to identify the factors that influence the efficiency in the adoption of innovations in protected agricultural systems. For the study of these factors, a hierarchical cluster analysis was performed in which three clusters were obtained that showed clearly differentiated behavior. To identify the differences between groups, a variance analysis and a chi-square test was performed. The results show that efficiency in the adoption of innovations is related to the producer’s schooling, his experience, and access to extension services. Derived from the above, it is important to promote greater articulation among producers, promote an integral extensionism capable of promoting collective development and interactions that are developed and evolved in the territories.

scholarly journals The Educational and Social Profile of the Indigenous People of Ecuador: A Multidimensional Analysis

2017 ◽  
Vol 9 (1) ◽  
pp. 137 ◽  
Author(s):  
José Manuel Castellano ◽  
Efstathios Stefos ◽  
Lisa Gaye Williams Goodrich
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Indigenous People ◽  
Hierarchical Cluster Analysis ◽  
Educational Level ◽  
Descriptive Analysis ◽  
Hierarchical Cluster ◽  
Population Based ◽  
Multidimensional Analysis ◽  
The Social

The objective of the study is to examine the educational level and the social profile of the indigenous people of Ecuador by means of a descriptive and multidimensional statistical analysis of this sector of the Ecuadorian population, based on data from the National Survey of Employment, Unemployment and Underemployment from 2015. The descriptive analysis shows the frequency and percentages of the variables used in the investigation, while the multidimensional statistical analysis is used in order to show the principal and most important criteria of differentiation and classification among the groups of people investigated. These methods involve a factorial analysis of multiple correspondences which demostrates the criteria of differentiation and a hierarchical cluster analysis to define groups of people according to their common traits.

scholarly journals The Social Profile of Students in Basic General Education in Ecuador: A Data Analysis

2017 ◽  
Vol 10 (6) ◽  
pp. 51
Author(s):  
Olga Elizabeth Minchala Buri ◽  
Efstathios Stefos
Keyword(s):  
Cluster Analysis ◽  
Data Analysis ◽  
Statistical Analysis ◽  
General Education ◽  
National Survey ◽  
Hierarchical Cluster Analysis ◽  
Descriptive Analysis ◽  
Hierarchical Cluster ◽  
Factorial Analysis ◽  
The Social

The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the frequency and percentages of variables used in the investigation, and the multidimensional statistical analysis demonstrates the principal and more important criteria of differentiation and classification among the clusters of students who were investigated. These methods involve factorial analysis of multiple correspondences which demonstrate criteria of differentiation and a hierarchical cluster analysis to define clusters of students according to their common traits.

Whos Chatting?: Interplay between Personality and WhatsApp Use

2015 ◽  
Vol 4 (4) ◽  
Author(s):  
Himanshu Rajput
Keyword(s):  
Logistic Regression ◽  
Multiple Regression ◽  
Big Five ◽  
Personality Assessment ◽  
The Internet ◽  
Big Five Inventory ◽  
Significant Relationships ◽  
Indian Context ◽  
High Penetration ◽  
The Relationship

Smartphone-based messaging applications have shown phenomenal growth with the proliferation of the internet coupled with the high penetration of smartphones into masses. The current study is an attempt to understand the relationship between the individuals personality and their use of WhatsApp, a popular smartphone-based messaging application in Indian context. For personality assessment the study takes Big Five Inventory. A questionnaire consisting items on individual WhatsApp use and Big Five Inventory was administered to students in an Indian University. Multiple regression and logistic regression revealed significant relationships between personality and WhatsApp usage and use of its different inbuilt functions.

Extraordinary circumstances: Covid-19 – Italian Serie A scenario

2021 ◽  
pp. 175433712110192
Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Round Robin ◽  
The Past ◽  
Novel Approach ◽  
Round Robin Tournaments

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.

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