Acculturation Stress Types of Chinese Undergraduate Students in Korea From Cluster Analysis and Characteristics of Those Clusters

2021 ◽  
Vol 22 (4) ◽  
pp. 889-918
Author(s):  
Cheng Yuqing ◽  
Jinhyung Park ◽  
蘭雪 許
Keyword(s):  
Cluster Analysis ◽  
Undergraduate Students ◽  
Acculturation Stress

scholarly journals Clusters of religiosity of Portuguese undergraduate youth

1970 ◽  
Author(s):  
José Pereira Coutinho
Keyword(s):  
Cluster Analysis ◽  
Undergraduate Students ◽  
Correspondence Analysis ◽  
Religious Beliefs ◽  
Public Universities ◽  
Multiple Correspondence Analysis ◽  
Beliefs And Practices ◽  
And Cluster Analysis ◽  
Phd Thesis

This article presents results of the author’s PhD thesis based on religious beliefs and practices, and attitudes of towards marriage, life, and sexuality. The sample included 500 undergraduate students from public universities of Lisbon. Applying multiple correspondence analysis and cluster analysis to these beliefs, practices, and attitudes, three clusters or types of religiosity were produced: nuclear Catholics, intermediate Catholics, and non-Catholics. These clusters were characterised in terms of religious socialisation, as well as of non-Catholic beliefs and practices, and aspects of life. When crossed with these last items, the clusters were renamed respectively: socio-centred orthodox, ambitious heterodox, activist and hedonist non-believers.

scholarly journals ANALYSIS OF ATTITUDE TOWARDS YOGA AMONG COLLEGE STUDENTS USING CLUSTERING TECHNIQUES

2021 ◽  
pp. 308-314
Author(s):  
Dr. Birbal Saha ◽  
Dr. Subir Sen ◽  
Anasuya Adhikari
Keyword(s):  
College Students ◽  
Cluster Analysis ◽  
Undergraduate Students ◽  
Data Clustering ◽  
West Bengal ◽  
Study Data ◽  
Yoga Practice ◽  
College Residence ◽  
Purulia District ◽  
The Mind

Yoga is an ancient practice involving physical, mental and spiritual practices. Yoga was first mentioned in the Rigveda. Yoga is seen to bring positive and holistic changes in human lives. Yoga strengthens body and relaxed the mind and hence is appreciated for its multifarious benefits. The benefits of Yoga, can be best proven on the students, looking after its memory and concentration increasing ability, developing good physic and calm mind. Present work deals with the attitude towards yoga practice of undergraduate college students of Purulia district of West Bengal, India. Response from 570 UG students is taken by a scale of attitude towards yoga. Four independent variables like Gender, Location of College, Residence of Students and Streams; and one dependent variable score of the questionnaire (attitude towards yoga practice) are considered for this study. Data Clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. Two-Step cluster analysis is done and five clusters are formed to take up the present study. KEYWORDS: Two-Step cluster Analysis, Undergraduate Students, Yoga, Attitude

Expressions of Life Meaning among College Students

2005 ◽  
Vol 97 (3) ◽  
pp. 945-954 ◽  
Author(s):  
W. H. Laverty ◽  
I. W. Kelly ◽  
Coralee Pringle-Nelson ◽  
M. J. Miket ◽  
B. L. Janzen
Keyword(s):  
College Students ◽  
Cluster Analysis ◽  
Undergraduate Students ◽  
Likert Scale ◽  
Religious Group ◽  
The Other ◽  
Life Meaning ◽  
Contributing Factors ◽  
Meaningful Life

This study examined the views of 132 undergraduate students (35 men, 97 women) regarding what they considered to be contributing factors to a worthwhile or meaningful life. They rated, on a 5-point Likert scale, their agreement with each of 40 statements. Cluster analysis yielded three clusters which best described the data. One cluster comprised a religious group, and the other two clusters were nonreligious, with one having characteristics of both the religious and nonreligious cluster.

scholarly journals Which Type of Interpersonal Interaction Better Facilitates College Student Learning and Development in China: Face-to-Face or Online?

2021 ◽  
pp. 209653112110108
Author(s):  
Hongbiao Yin ◽  
Lian Shi
Keyword(s):  
College Students ◽  
Cluster Analysis ◽  
Undergraduate Students ◽  
Research University ◽  
Northern China ◽  
Academic Learning ◽  
Chinese College Students ◽  
Face To Face ◽  
Student Autonomy ◽  
Asynchronous Interactions

Purpose: This study attempts to explore how Chinese college students engage in face-to-face synchronous and online asynchronous interactions and examine how the two different interaction types are associated with their academic learning (learning achievement and the development of research skills), satisfaction, and their perceptions of learning environments. Design/Approach/Methods: A sample of 3,999 undergraduate students from a research university in Northern China participated in the survey. A series of cluster analysis, one-way analysis of variance, and hierarchical multiple regression were conducted. Findings: The cluster analysis results revealed that there were four types of learners among these students and that a large percentage of Chinese undergraduates were classified into either digital communicators (36.16%) or passive interactors (32.71%). In general, the face-to-face synchronous interaction generated more desirable academic learning, perceptions of the learning environment, and higher satisfaction than the online asynchronous interaction in most aspects. However, the asynchronous online interaction fostered student autonomy and contributed to students’ completion of an in-depth thesis. Originality/Value: By distinguishing face-to-face synchronous versus online asynchronous interactions, this study led to an enhanced knowledge of the interactive patterns of Chinese college students and uncovered the specific effects of the two types of interpersonal interactions in Chinese research universities.

Environmental segmentation: young millennials’ profile in an emerging economy

2019 ◽  
Vol 20 (4) ◽  
pp. 359-379 ◽  
Author(s):  
Ayşen Coşkun ◽  
Raife Meltem Yetkin Özbük
Keyword(s):  
Cluster Analysis ◽  
Locus Of Control ◽  
Undergraduate Students ◽  
Environmental Attitudes ◽  
Emerging Economy ◽  
Purchase Intentions ◽  
Marketing Strategies ◽  
Environmental Knowledge ◽  
Content Type ◽  
Significant Difference

Purpose The purpose of this study is to segment young millennials in an emerging economy based on their environmental attitudes and purchase intentions. The study also attempts to describe the segments and highlight their differences in terms of happiness, frugality, environmental locus of control, and environmental knowledge. Design/methodology/approach The study sample consisted of 227 Turkish undergraduate students. A two-step cluster analysis was performed on environmental attitudes and purchase intentions scores. The differences among the clusters were then examined according to happiness, frugality, environmental locus of control, and environmental knowledge variables. Findings A two-step cluster analysis identified three clusters, namely, “non-greens”, “reluctant greens” and “true greens”, all of whom differed in terms of environmental attitudes and purchase intentions. Non-greens (n = 16) and true greens (n = 121) yielded the lowest and the highest scores for environmental attitudes and purchase intentions, respectively. Three clusters also differed significantly in terms of frugality. Environmental knowledge levels of non-greens differed from those of reluctant greens and true greens. There is no significant difference regarding happiness and environmental locus of control among clusters. Practical implications Local and international companies interested in marketing green products to young millennials in emerging economies may enhance their understanding of non-green and green young millennials in the target markets and differentiate their marketing strategies for each segment. Originality/value Given the need for a better understanding of young millennials’ environmental behavior in an emerging economy, the current study contributes to the literature by segmenting young Turkish millennials based on their environmental attitudes and purchase intentions, further describing the consumer segments with different variables such as happiness, frugality, environmental locus of control and environmental knowledge.

scholarly journals Attitudes and experiences among first-year regional Australian undergraduate students toward the study of chemistry

2021 ◽  
Vol 18 (4) ◽  
pp. 206-229
Author(s):  
Mani Naiker ◽  
◽  
Lara Wakeling ◽  
Joel Johnson ◽  
Stephen Brown ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Undergraduate Students ◽  
Student Attitudes ◽  
Learning Experiences ◽  
First Year ◽  
Previous Exposure ◽  
Large Role ◽  
Chemistry Students ◽  
Language Of Chemistry ◽  
Attitudes Toward Chemistry

Both attitude and previous experiences play a large role in shaping a student’s approach to and achievement in a given subject. Similarly, students’ enjoyment of their learning experiences is an important factor in determining their retention in their course of choice. Here, we explore the attitudes toward the study of chemistry amongst a cohort of first-year undergraduate students at a regional Australian university, including assessing these parameters at the beginning of their first term, the end of the first term and the end of their second term. In addition, metrics on the students’ experiences of studying chemistry were collected at the latter two timepoints. Generally, student attitudes toward chemistry were positive, as were student learning experiences in most instances. Two-step cluster analysis revealed the presence of two distinct clusters of students within the data, differing significantly in their overall attitude toward the study of chemistry. Students who had studied chemistry in Year 12 did not show any significant differences in their attitudes toward chemistry, when compared to students who had not studied Year 12 chemistry; however, their learning experiences in first-year chemistry were rated as being significantly more positive. We attribute this to their increased ability to engage with and successfully learn from the topic material presented in lectures and tutorials, as their previous exposure to the ‘language’ of chemistry may provide them with an advantage over chemistry-naïve students.

scholarly journals Satisfaction and Academic Engagement among Undergraduate Students

2013 ◽  
Vol 2 (4) ◽  
pp. 84-92
Author(s):  
Burcu Özgen Özaslan Caliskan ◽  
Burcu Adigüzel Mercangöz
Keyword(s):  
Cluster Analysis ◽  
University Students ◽  
Undergraduate Students ◽  
Academic Engagement ◽  
T Test ◽  
School Satisfaction ◽  
School Activities ◽  
Academic School ◽  
The University ◽  
Students Satisfaction

Academic engagement used to refer to the extent to which students identify with and value schooling outcomes, and participate in academic and non-academic school activities. This study aims to investigate the academic engagement and satisfaction from the school among the university students. The data is taken from the undergraduate students in School of Transportation & Logistics in Istanbul University. We used a questionnaire that consisted of two parts. First part of the questionnaire is about to measure the students’ academic engagement that is improved by Schaufeli et al. Second part of the questionnaire is about to measure the students’ satisfaction from the school. K-means cluster analysis is used to determine two groups of students, group the students in to two clusters based on their school satisfaction scores. We named these two groups as “satisfied” and “unsatisfied” students. Secondly we investigate the relationships between the satisfaction scores and the academic engagement. By means of T Test we investigate whether the academic engagement differs between the clusters that are determined according to the students’ satisfaction scores. Finally we found that academic engagement differs according to the identified clusters.

Cluster analysis for large data sets: applications to individual aerosol particles from the mid-pacific

1992 ◽  
Vol 50 (2) ◽  
pp. 1488-1489
Author(s):  
Thomas W. Shattuck ◽  
James R. Anderson ◽  
Neil W. Tindale ◽  
Peter R. Buseck
Keyword(s):  
Cluster Analysis ◽  
Chemical Reactivity ◽  
Large Data ◽  
Large Data Sets ◽  
Particle Analysis ◽  
Data Sets ◽  
Halogen Chemistry ◽  
Complete Study ◽  
Components Analysis ◽  
Automated Scanning

Individual particle analysis involves the study of tens of thousands of particles using automated scanning electron microscopy and elemental analysis by energy-dispersive, x-ray emission spectroscopy (EDS). EDS produces large data sets that must be analyzed using multi-variate statistical techniques. A complete study uses cluster analysis, discriminant analysis, and factor or principal components analysis (PCA). The three techniques are used in the study of particles sampled during the FeLine cruise to the mid-Pacific ocean in the summer of 1990. The mid-Pacific aerosol provides information on long range particle transport, iron deposition, sea salt ageing, and halogen chemistry.Aerosol particle data sets suffer from a number of difficulties for pattern recognition using cluster analysis. There is a great disparity in the number of observations per cluster and the range of the variables in each cluster. The variables are not normally distributed, they are subject to considerable experimental error, and many values are zero, because of finite detection limits. Many of the clusters show considerable overlap, because of natural variability, agglomeration, and chemical reactivity.

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