Is Emotional Congruence With Children Associated With Sexual Offending in Pedophiles and Hebephiles From the Community?

Sexual Abuse ◽  
2015 ◽  
Vol 30 (1) ◽  
pp. 3-22 ◽  
Author(s):  
Anna Konrad ◽  
Laura F. Kuhle ◽  
Till Amelung ◽  
Klaus M. Beier
Keyword(s):  
Regression Analysis ◽  
Multinomial Logistic Regression ◽  
Sexual Offending ◽  
Principal Component ◽  
Sexual Preference ◽  
Control Group ◽  
Multinomial Logistic Regression Analysis ◽  
Inherent Feature ◽  
And Gender ◽  
Group Comparisons

Although emotional congruence with children (ECWC) is a risk factor for sexual offending against children, its conceptual validity has hardly been researched. This study aims to explore the construct of ECWC by evaluating the factor structure of the Child Identification Scale (CIS-R) and its relation to facets of sexual preference and child sexual abuse behaviors. It was hypothesized that the measure comprises consistent subscales that are differently associated with aspects of sexual preference and sexual offending against children. CIS-R data of a sample of 217 adult male pedophiles from the community were used for an exploratory principal component analysis (PCA). Group comparisons and a multinomial logistic regression analysis were conducted after including a non-pedophilic control group of 22 adult men. PCA revealed a three-factor solution for the CIS-R accounting for 30% of variance. Group comparisons found differences in overall scores and the factor labeled “Attachment to Children” between subgroups of sexual age and gender preference, but not between contact, online, and non-offenders. The regression analysis showed a pedophile sexual preference and the interaction between a hebephile sexual age preference and the factor “Attachment to Children” being associated with past offending behavior. The results indicate a wish to attach to children as core feature of the CIS-R measure assessing ECWC. It is discussed whether this is an inherent feature of pedophilia or rather an independent aspect being differently distinct in pedophiles.

scholarly journals Association between Social Integration and Face Mask Use Behavior during the SARS-CoV-2 Pandemic in Japan: Results from U-CORONA Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4717
Author(s):  
Nobutoshi Nawa ◽  
Yui Yamaoka ◽  
Yuna Koyama ◽  
Hisaaki Nishimura ◽  
Shiro Sonoda ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Social Network ◽  
Social Integration ◽  
Response Bias ◽  
Multinomial Logistic Regression ◽  
Face Mask ◽  
Neighborhood Association ◽  
Multinomial Logistic Regression Analysis ◽  
Use Behavior

Face mask use is a critical behavior to prevent the spread of SARS-CoV-2. We aimed to evaluate the association between social integration and face mask use during the COVID-19 pandemic in a random sample of households in Utsunomiya City, Greater Tokyo, Japan. Data included 645 adults in the Utsunomiya COVID-19 seROprevalence Neighborhood Association (U-CORONA) study, which was conducted after the first wave of the pandemic, between 14 June 2020 and 5 July 2020, in Utsunomiya City. Social integration before the pandemic was assessed by counting the number of social roles, based on the Cohen’s social network index. Face mask use before and during the pandemic was assessed by questionnaire, and participants were categorized into consistent mask users, new users, and current non-users. Multinomial logistic regression analysis was used to examine the association between lower social integration score and face mask use. To account for possible differential non-response bias, non-response weights were used. Of the 645 participants, 172 (26.7%) were consistent mask users and 460 (71.3%) were new users, while 13 (2.0%) were current non-users. Lower social integration level was positively associated with non-users (RRR: 1.76, 95% CI: 1.10, 2.82). Social integration may be important to promote face mask use.

On Gang Affiliation, Gang Databases, and Prosecutorial Outcomes

2016 ◽  
Vol 63 (2) ◽  
pp. 210-229 ◽  
Author(s):  
Jonathan W. Caudill ◽  
Chad R. Trulson ◽  
James W. Marquart ◽  
Matt DeLisi
Keyword(s):  
Regression Analysis ◽  
Criminal Justice ◽  
Criminal Justice System ◽  
Justice System ◽  
Multinomial Logistic Regression ◽  
Policy Implications ◽  
Multinomial Logistic Regression Analysis ◽  
Technological Advances ◽  
Gang Affiliation ◽  
Legal Consequences

Technological advances have enabled criminal justice organizations to collect and share offender data. Accompanying these advances are concerns about how various segments of the criminal justice system utilize these data. Specifically, scholars have expressed concerns about the legal consequences of being included in gang databases. This study explored the use of gang affiliation indicators on prosecutorial outcomes by using a sample of 5,111 urban juvenile cases. Using three binary measures of gang affiliation, multinomial logistic regression analysis suggested indicators of gang affiliation influenced prosecutorial outcomes (dismissal, pre-adjudication informal supervision, deferred prosecution, or petition), but in an unanticipated manner. Confirmed gang affiliates, instead of suspected or non-gang affiliates, were significantly more likely to experience pre-adjudication informal supervision over other forms of case outcomes: case dismissal, deferred prosecution, or court petition. Policy implications focus on the inter-connectedness of the criminal justice system.

Determinants of Acculturation Preferences between Ethiopian Majority in Shashemene, and Rastafarian Community

2021 ◽  
Author(s):  
Gamachu Gishe Badasa ◽  
Mekonnen Sime Bedada
Keyword(s):  
Regression Analysis ◽  
Multinomial Logistic Regression ◽  
P Value ◽  
Extended Model ◽  
Growing Up ◽  
Peaceful Coexistence ◽  
Vulnerable Group ◽  
Multinomial Logistic Regression Analysis ◽  
Cultural Traits ◽  
The Town

Abstract Background Acculturation is learning and adopting cultural traits different from the ones with which the person was originally growing up. Methods The researchers employed a transformative mixed research design. We randomly selected 349 participants from both the majority and their counterparts. Item measures acculturation choices of native and Rastafarians which were adapted from Navas et al. (2005) Relative Acculturation Extended Model. We computed multinomial logistic regression analysis to identify determinants of majorities' and minorities' acculturation preferences. A p-value < 0.05 considered significant. Results The study has shown that most of the respondents preferred the marginalization approach 54.7%. This result also highlighted that the second-largest preferred acculturation was assimilation 22.6%. Over 26.8% of the Rastafarians, pick separation preference. in the condition where the Rastafarians were to speak the local language, their likelihood of making integration to marginalization increased by 0.37 unit while holding all other variables in the model constant (AOR = 0.374, 95% CI (.146,.959). If a majority were to increase smoking Ganja by one point, the odds of preferring integration to marginalization enhanced by 0.008 points (AOR = 0.008, 95% CI (.001, 072). As for factors related to Rastafarians’ acculturation decision, divorce is one factor because many Ethiopian women who have a relationship with local men marry and bear children to Rasta men just to share their resources. In this study, the likelihood of making integration to marginalization optimized by 41.95 points if the local people had the habit of smoking Ganja (AOR = 41.95, 95% CI (2.51,.701.69). The Rastafarian reported that the town leaders have been continuously accusing them of planting and smoking Ganja, marijuana, and others. Conclusion The research suggested that there are some individuals working against the Rastafarians; therefore, elders and Abba Gedas have to work together to protect the vulnerable group as the Oromo culture, nurture togetherness and peaceful coexistence not to displace their neighborhood. We found that the Rastafarian people lack unity among themselves because there are some individuals often creating problems and paving the way for other intruders to discriminate against the Rasta community. Therefore, before blaming others it is a good idea if you first clean your houses.

scholarly journals PERBANDINGAN REGRESI LOGISTIK MULTINOMINAL DAN ANALISIS DISKRIMINAN

2021 ◽  
Vol 1 (2) ◽  
pp. 135-150
Author(s):  
Rifda Nabila ◽  
Risdiana Himmati ◽  
Rendra Erdkhadifa
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Discriminant Analysis ◽  
Logistic Regression Analysis ◽  
Multinomial Logistic Regression ◽  
Regression Method ◽  
Destination Image ◽  
Tourism Destination ◽  
Multinomial Logistic Regression Analysis ◽  
Logistic Regression Method

Abstrak: Tujuan dari penelitian ini adalah untuk membandingkan analisis regresi logistik multinomial dan analisis diskriminan untuk mengelompokkan keputusan kunjungan wisata halal di Jawa Tengah berdasarkan ketepatan pengelompokan. Analisis statistik yang digunakan adalah regresi logistik multinomial dan analisis diskriminan. Kedua analisis tersebut dapat digunakan sebagai metode pengelompokan objek, sehingga keduanya dapat dibandingkan berdasarkan ketepatan pengelompokkannya. Penelitian ini membandingkan analisis regresi logistik multinomial dan analisis diskriminan dalam pengelompokan keputusan kunjungan wisata halal. Data yang digunakan adalah worship facilities, halalness, general Islamic mortality, dan tourism destination image. Hasil analisis menggunakan metode regresi logistik multinomial menunjukkan faktor-faktor yang secara signifikan mempengaruhi pengelompokan keputusan kunjungan wisata halal adalah variabel tourism destination image, variabel halalness, dan variabel general Islamic morality. Sedangkan dengan analisis diskriminan menunjukkan bahwa semua variabel prediktor yakni worship facilities, halalness, general Islamic mortality, dan tourism destination image memberikan pengaruh secara signifikan terhadap pengklasifikasian keputusan mengunjungi destinasi wisata halal. Penelitian ini menunjukkan bahwa metode regresi logistik multinomial lebih baik untuk pengelompokkan keputusan kunjungan wisata halal dibandingan metode analisis diskriminan, dengan presetnase ketepatan pengelompokkan pada metode regresi logit multinomial sebesar 59,5%  dan analisis diskriminan sebesar 53,5%. Analisis regresi logistik multinominal lebih mudah digunakan dalam proses pengelompokan keputusan kunjuangan wisata halal karena tidak mempertimbangkan asumsi yang harus dipenuhi. Kata Kunci: Analisis Diskriminan; Regresi Logistik Multinominal; Keputusan Mengunjungi   Abstract: The purpose of this study is to compare multinomial logistic regression analysis and discriminant analysis to classify decisions on halal tourism visits in Central Java based on grouping accuracy. Statistical analysis used is multinomial logistic regression and discriminant analysis. The two analyzes can be used as a method of grouping objects, so that they can be compared based on the accuracy of the grouping. This study compares multinomial logistic regression analysis and discriminant analysis in grouping decisions for halal tourism visits. The data used are worship facilities, halalness, general Islamic mortality, and tourism destination image. The results of the analysis using the multinomial logistic regression method show that the factors that significantly influence the grouping of decisions for halal tourism visits are the tourism destination image variable, the halalness variable, and the general Islamic morality variable. Meanwhile, discriminant analysis shows that all predictor variables namely worship facilities, halalness, general Islamic mortality, and tourism destination image have a significant influence on the classification of decisions to visit halal tourist destinations. This study shows that the multinomial logistic regression method is better for grouping decisions on halal tourist visits than the discriminant analysis method, with a preset percentage of grouping accuracy in the multinomial logit regression method of 59.5% and discriminant analysis of 53.5%. Multinominal logistic regression analysis is easier to use in the process of grouping halal tourism travel decisions because it does not consider the assumptions that must be met. Keywords: Discriminant Analysis; Multinomial Logistic Regression; Visiting decision.

scholarly journals Breaking up the play: The relationship between legal stops and winning in team handball

2022 ◽  
pp. 174795412110707
Author(s):  
Aron Laxdal ◽  
Andreas Ivarsson
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Multinomial Logistic Regression ◽  
Time Analysis ◽  
Multinomial Logistic Regression Analysis ◽  
Real Time Analysis ◽  
Team Handball ◽  
Game Outcome ◽  
Males And Females ◽  
The Relationship

The purpose of this study was to examine the relationship between legal stops and winning in team handball. Real-time analysis was performed on all games played in the Icelandic elite division for both males and females (regular season and playoffs) between 2017–2021 (854 games [570 male games, 284 female games], 32,392 legal stops in total). Legal stops were assessed as any physical action by a defensive player that resulted in the stop of play, without the defensive player being penalized or the offensive player receiving a 7-meter throw. The results from a multinomial logistic regression analysis indicated that legal stops were significantly associated with winning games in the male league. No statistically significant relationship was found between illegal stops and game outcome for either sex. However, 2-minute suspensions were found to be positively associated with winning in the male league.

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