scholarly journals Understanding the Structure of Stereotypes of Women: Virtue and Agency as Dimensions Distinguishing Female Subgroups

2005 ◽  
Vol 29 (4) ◽  
pp. 396-405 ◽  
Author(s):  
C. Nathan DeWall ◽  
T. William Altermatt ◽  
Heather Thompson
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Female Athlete ◽  
Moral Virtue ◽  
Hierarchical Cluster ◽  
Gender Stereotyping ◽  
Dimensional Structure ◽  
Agency Model ◽  
Separate Sample ◽  
Sexual Conservatism

A two-part study investigated the dimensional structure of stereotypes of women. In one sample ( n = 258), participants sorted traits according to the likelihood that they would co-occur in the same woman. In a separate sample ( n = 102), participants were given the same traits and were asked to judge the traits' desirability and to judge the moral virtue, sexual liberalism/conservatism, warmth, competence, and power of a woman who possessed high levels of each trait. Results from hierarchical cluster analysis indicated that participants perceived women in terms of six subgroups: professional, feminist, homemaker, female athlete, beauty, and temptress. Large differences among these subgroups were identified based on ratings of their moral virtue and sexual conservatism (i.e., virtue) and competence and power (i.e., agency). The implications of a virtue-agency model of female subgroups for gender stereotyping research are discussed.

Individual differences in wild (WWCPS) rat — manifested in the exploration box

2010 ◽  
Vol 41 (1) ◽  
pp. 31-35
Author(s):  
Wojciech Pisula
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Individual Differences ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Dimensional Structure ◽  
Two Dimensional ◽  
Factor Scores ◽  
Laboratory Rats ◽  
Two Factors

Individual differences in wild (WWCPS) rat — manifested in the exploration box Thirty nine WWCPS rats were tested in the exploration box throughout fifteen sessions. Factor analysis was run to extract the main dimensions describing rat behavior. Two factors were extracted, confirming the validity of the concept of two dimensional structure of individual differences in rats. Hierarchical cluster analysis run on factor scores showed that only three out of a possible four types of factor combinations are actually present within observed group of animals. In terms of individual differences structure, the study provide support for the view that laboratory rats are still rats.

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.

scholarly journals Detection of drought events in Greece using daily precipitation

2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Daily Precipitation ◽  
Hierarchical Cluster ◽  
Seasonal Distribution ◽  
Drought Severity ◽  
Severe Drought ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
Insight Into

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.

An investigation on conceptual understanding about cosmology

2019 ◽  
Vol 15 (S367) ◽  
pp. 397-399
Author(s):  
Arturo Colantonio ◽  
Irene Marzoli ◽  
Italo Testa ◽  
Emanuella Puddu
Keyword(s):  
High School ◽  
Cluster Analysis ◽  
High School Students ◽  
Conceptual Understanding ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Content Area ◽  
School Students ◽  
Convenience Sample ◽  
Teaching Activities

AbstractIn this study, we identify patterns among students beliefs and ideas in cosmology, in order to frame meaningful and more effective teaching activities in this amazing content area. We involve a convenience sample of 432 high school students. We analyze students’ responses to an open-ended questionnaire with a non-hierarchical cluster analysis using the k-means algorithm.

Hierarchical Cluster Analysis Identifies Distinct Physiological States After Acute Brain Injury

2021 ◽  
Author(s):  
Swarna Rajagopalan ◽  
Wesley Baker ◽  
Elizabeth Mahanna-Gabrielli ◽  
Andrew William Kofke ◽  
Ramani Balu
Keyword(s):  
Cluster Analysis ◽  
Brain Injury ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Acute Brain Injury
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