Cluster analysis of child homicide in South Korea

2020 ◽  
Vol 101 ◽  
pp. 104322 ◽  
Author(s):  
KyuHee Jung ◽  
Heesong Kim ◽  
Eunsaem Lee ◽  
Inseok Choi ◽  
Hyeyoung Lim ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
South Korea ◽  
Child Homicide

Loyal Customer Behaviors: Identifying Brand Fans

2018 ◽  
Vol 46 (8) ◽  
pp. 1285-1303 ◽  
Author(s):  
Seong Ho Lee ◽  
Kyung Sik Jung
Keyword(s):  
Cluster Analysis ◽  
South Korea ◽  
Analysis Of Variance ◽  
Brand Loyalty ◽  
Business Administration ◽  
Marketing Program ◽  
Self Image ◽  
Loyal Customer ◽  
Image Congruence ◽  
Article Study

Using concepts of self-image congruence and involvement, we investigated whether existing customers can be considered brand fans and, if so, how to determine the behavior of brand fans in various situations. Participants were 180 students in a business administration marketing program in South Korea with strong brand loyalty. Cluster analysis was conducted using a 2 (high vs. low self-image congruence) × 2 (high vs. low involvement) analysis of variance and paired t tests were used to identify brand fans through fanship and switching intentions (Study 1). Then we investigated how participants' minds changed after being exposed to a negative article (Study 2) and a competitor's aggressive marketing (Study 3). We found that fans do exist for commercial brands and that, as assumed, image congruence and involvement are critical constructs. These results suggest that consideration of image congruence and involvement is necessary for businesses to secure and foster brand fans.

scholarly journals A Study on the Appropriateness of the Drought Index Estimation Method Using Damage Data from Gyeongsangnamdo, South Korea

Atmosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 998
Author(s):  
Youngseok Song ◽  
Moojong Park
Keyword(s):  
Cluster Analysis ◽  
South Korea ◽  
Drought Index ◽  
Mean Squared Error ◽  
National Level ◽  
Standardized Precipitation Index ◽  
Estimation Method ◽  
Damage Data ◽  
And Cluster Analysis ◽  
Index Estimation

Drought is one of the disasters that causes the most extensive and severe damage. Therefore, drought prevention must be performed for administrative districts at the national level rather than the individual level. This study proposes a drought index estimation method for Gyeongsangnamdo, South Korea that evaluates its appropriateness through a comparison with damage data over several years. The standardized precipitation index (SPI) by duration was used as the drought index that was estimated for 13 rainfall stations located inside and outside Gyeonsangnam-do using the Thiessen method and cluster analysis. The SPI of Gyeongsangnamdo by duration based on the Thiessen method and cluster analysis for the years when drought damage occurred was compared with an SPI value of −2.0, which is the extreme drought condition, to determine its appropriateness. For the evaluation of the appropriateness, the performance indicators of the mean absolute deviation (MAD), mean squared error (MSE), and root mean square error (RMSE) were used. The analysis results showed that SPI by duration based on the cluster analysis method was more appropriate for damage data over many years than that based on the Thiessen method.

scholarly journals The Development of Gratitude in Seven Societies: Cross-Cultural Highlights

2017 ◽  
Vol 52 (1) ◽  
pp. 135-150 ◽  
Author(s):  
Sara Etz Mendonça ◽  
Elisa A. Merçon-Vargas ◽  
Ayse Payir ◽  
Jonathan R. H. Tudge
Keyword(s):  
United States ◽  
Cluster Analysis ◽  
South Korea ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
The United States ◽  
Cross Cultural ◽  
High Expression ◽  
Common Trends ◽  
Age Related

This study aimed to examine children’s expression of gratitude in Brazil, China, Guatemala, Russia, South Korea, Turkey, and the United States. Participants ( N = 2,265) consisted of 7- to 14-year-olds ( M = 10.56, SD = 2.09; 54.4% girls). Using hierarchical cluster analysis, we found four clusters of gratitude expression: (a) Russia and Turkey (moderate–high expression of connective, low concrete, and moderate verbal gratitude), (b) Brazil and the United States (low connective, higher rates of concrete, and moderate–high rates of verbal gratitude), (c) China and South Korea (higher rates of connective, lower concrete, and lower–moderate verbal gratitude), and (d) Guatemala (lower rates of concrete and connective gratitude, and higher rates of verbal gratitude). In addition, we found common trends in age-related differences for verbal and concrete gratitude among most societies. These findings support the argument for diligence in avoiding implicit generalizations based on research conducted mostly in Western Educated Industrialized Rich Democratic (WEIRD) societies.

scholarly journals Impact of complete lock-down on total infection and death rates: A hierarchical cluster analysis

2020 ◽  
Author(s):  
Samit Ghosal ◽  
Rahul Bhattacharyya ◽  
Milan Majumder
Keyword(s):  
Cluster Analysis ◽  
South Korea ◽  
Disease Progression ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Rate Of Change ◽  
Second Phase ◽  
Death Rates ◽  
Phase Cluster ◽  
The Impact

AbstractIntroduction and AimsRetarding the spread of SARS-CoV-2 infection by preventive strategies is the first line of management. Several countries have declared a stringent lock-down in order to enforce social distancing and prevent the spread of infection. This analysis was conducted in an attempt to understand the impact of lock-down on infection and death rates over a period of time.Material and MethodsA validated database was used to generate data related to countries with declared lock-down. Simple regression analysis was conducted to assess the rate of change in infection and death rates. Subsequently, a k-means and hierarchical cluster analysis was done to identify the countries that performed similarly. Sweden and South Korea were included as counties without lock-down in a second-phase cluster analysis.ResultsThere was a significant 61% and 43% reduction in infection rates 1-week post lock-down in the overall and India cohorts, respectively, supporting its effectiveness. Countries with higher baseline infections and deaths fared poorly compared to those who declared lock-down early on. Sweden and South Korea fared equally well, as most lock-down countries stemmed the growth of infection and death.ConclusionLock-down has proven to be an effective strategy is slowing down the SARS-CoV-2 disease progression exponentially. However, lessons need to be learned from Sweden and South Korea on arresting the disease progression without imposing such stringent measures.

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.

Measuring “Language Access Profiles” in Deaf and Hard-of-Hearing Children With the DHH Language Exposure Assessment Tool

2020 ◽  
pp. 1-25
Author(s):  
Matthew L. Hall ◽  
Stephanie De Anda
Keyword(s):  
Cluster Analysis ◽  
Exposure Assessment ◽  
Hard Of Hearing ◽  
Assessment Tool ◽  
Communication Mode ◽  
Developmental Potential ◽  
Language Access ◽  
Retest Reliability ◽  
Language Exposure ◽  
Test Retest Reliability

Purpose The purposes of this study were (a) to introduce “language access profiles” as a viable alternative construct to “communication mode” for describing experience with language input during early childhood for deaf and hard-of-hearing (DHH) children; (b) to describe the development of a new tool for measuring DHH children's language access profiles during infancy and toddlerhood; and (c) to evaluate the novelty, reliability, and validity of this tool. Method We adapted an existing retrospective parent report measure of early language experience (the Language Exposure Assessment Tool) to make it suitable for use with DHH populations. We administered the adapted instrument (DHH Language Exposure Assessment Tool [D-LEAT]) to the caregivers of 105 DHH children aged 12 years and younger. To measure convergent validity, we also administered another novel instrument: the Language Access Profile Tool. To measure test–retest reliability, half of the participants were interviewed again after 1 month. We identified groups of children with similar language access profiles by using hierarchical cluster analysis. Results The D-LEAT revealed DHH children's diverse experiences with access to language during infancy and toddlerhood. Cluster analysis groupings were markedly different from those derived from more traditional grouping rules (e.g., communication modes). Test–retest reliability was good, especially for the same-interviewer condition. Content, convergent, and face validity were strong. Conclusions To optimize DHH children's developmental potential, stakeholders who work at the individual and population levels would benefit from replacing communication mode with language access profiles. The D-LEAT is the first tool that aims to measure this novel construct. Despite limitations that future work aims to address, the present results demonstrate that the D-LEAT represents progress over the status quo.

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