scholarly journals Patterns of overkill in sexual homicides

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Julien Chopin ◽  
Eric Beauregard
Keyword(s):  
Logistic Regression ◽  
Latent Class Analysis ◽  
Design Methodology ◽  
Latent Class ◽  
Class Analysis ◽  
Regression Analyses ◽  
Sexual Homicide ◽  
Content Type ◽  
Process Characteristics ◽  
Binomial Regression

Purpose This paper aims to explore the presence of overkill in sexual homicide. More specifically, the study examines whether overkill is a valid indicator of an organized or disorganized sexual homicide. Moreover, the study tests the presence of various patterns of sexual homicide involving overkill. Design/methodology/approach The sample used in this study consists of 662 cases of extrafamilial SHs with (n = 145) and without (n = 517) evidence of overkill, respectively. A binomial regression was used to compare at the multivariate level the two groups of crimes, while a latent class analysis was used to determine whether overkill could be associated with different patterns of sexual homicide. Findings Findings from bivariate and logistic regression analyses show that the presence of overkill may be associated with both organized and disorganized sexual homicides. Moreover, latent class analysis suggests that there are three distinct patterns of overkill in sexual homicide: impulsive, sadistic and personal. Originality/value This study is the first to empirically analyze overkill in sexual homicides and to propose a classification using crime-commission process characteristics.

Who uses herbs and spices?

2014 ◽  
Vol 44 (4) ◽  
pp. 363-374 ◽  
Author(s):  
Wei Chun Wang ◽  
Anthony Worsley
Keyword(s):  
Latent Class Analysis ◽  
Design Methodology ◽  
Online Survey ◽  
Latent Class ◽  
Class Analysis ◽  
Health Communications ◽  
Content Type ◽  
Usage Patterns ◽  
Herbs And Spices ◽  
Social Backgrounds

Purpose – This paper aims to examine the usage patterns of herbs and spices among Australians and to identify how herbs and spices were consumed by respondents from different social backgrounds. Design/methodology/approach – In all, 1,023 adult Australians completed an online survey and ranked the frequencies of use of 21 herbs and spices and provided details of their demographics, cooking intentions and household types. Findings – Latent class analysis was applied and three types of usage patterns were identified, including high use, moderate use and low use of herbs and spices. The usage patterns were associated differentially with several covariates. For example, the chance of being in the high-usage group was positively associated with age, number of adults living in the household and cooking evening meals from scratch, but negatively related to levels of education and possession of cooking or culinary qualifications. Moreover, respondents who cooked their evening meals from scratch and who were not interested in receiving information or advice about making inexpensive but tasty meals were more likely to be in the moderate- rather than the low-usage group. Originality/value – The identification of groups of users of herbs and spices would enable health communications to be tailored to enhance the use of herbs and spices and reduce the use of other flavouring agent including fat, sugar and salt.

scholarly journals Understanding preferences of German flower consumers: the desire for sustained beauty

2018 ◽  
Vol 46 (6) ◽  
pp. 560-576
Author(s):  
Meike Rombach ◽  
Nicole Widmar ◽  
Elizabeth Byrd ◽  
Vera Bitsch
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Consumer Preferences ◽  
Federal State ◽  
Class Analysis ◽  
Cut Flower ◽  
Cut Flowers ◽  
Content Type ◽  
Relative Preference ◽  
Best Worst Scaling

PurposeThe purpose of this paper is to provide insights for flower retailers, horticultural practitioners and marketing managers into the prioritisation of cut flower attributes by German residents.Design/methodology/approachApplying a best–worst scaling approach, this analysis identified the relative ranking of importance amongst product attributes relevant to German consumers when buying fresh cut flowers. A latent class analysis determined four flower consumer segments for further study. The study builds on a sample of 978 consumers and is consistent with the most recent German census in terms of age, gender, income and federal state.FindingsThe best-worst analysis showed that intrinsic flower attributes, in particular appearance, freshness and scent were found to be more important to German consumers than the extrinsic attributes studied, namely, price, country of origin and a certification indicating fair trade. The latent class analysis determined four consumer segments that desire either budget, luxury or ethical flowers or more information about flowers. For all identified consumer segments, appearance was the attribute of greatest importance. The segments that desired luxury or ethical flowers, as well as the segment that desires more information were interested in appearance, but also had relatively large shares of preferences dedicated to flower freshness guarantees. The preference for freshness guarantees in addition to appearance may be interpreted jointly as a desire for not only beautiful and aesthetically pleasing flowers, but for sustained beauty.Originality/valueInternationally, the study fills a research gap by exploring consumer’s relative preference for cut flower attributes. In contrast to existing studies on consumer preferences for flowers in Germany, the present study builds on a sample that was targeted in terms of age, gender, net household income and federal state to the most recent German census.

Latent class analysis and individuals' preferences mapping: the new consumption orientations and perspectives for craft beer in North-West Italy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stefano Massaglia ◽  
Valentina Maria Merlino ◽  
Simone Blanc ◽  
Aurora Bargetto ◽  
Danielle Borra
Keyword(s):  
Latent Class Analysis ◽  
Large Scale ◽  
Latent Class ◽  
Consumer Preferences ◽  
Demographic Characteristics ◽  
Class Analysis ◽  
Content Type ◽  
North West ◽  
Craft Beer ◽  
Definition Of

PurposeIn Italy, the craft beer (CB) market has undergone a trend of exponential growth in recent years, showing, at the same time, differences among different geographical areas. This research aimed to define the consumer preferences towards different CB attributes by involving a sample of individuals from Piedmont (from North-West Italy). Furthermore, the experimentation was designed to distinguish heterogeneous individuals' consumption profiles each characterised by different CB preferences, drinking habits and socio-demographic characteristics.Design/methodology/approachThe exploration of individuals' preferences towards 12 CB quality attributes was made throughout a choice experiment based on the Best-Worst Scaling (BWS) methodology approach. In addition, the BWS results were employed in the latent class analysis to identify the best sample segmentation in relation to attributes preferences.FindingsThe “Brand knowledge”, “I have already tried it” were the most important attributes for CB choice. On the contrary, the “Type of packaging” and “Price” were the least important for CB choice. The “Loyal”, “Attentive to quality composition” and “Territorial brand” clusters were defined in function of CB consumers preferences and described in terms of individuals consumption habits and socio-demographic characteristics.Originality/valueThe BWS methodology allowed the definition of a preference index for each selected CB attributes. These indications could have concrete importance on production and marketing choices in an increasingly extended and globalised market, also at large-scale distribution level. Furthermore, the definition of different consumption profiles allowed to highlight the heterogeneity of consumption (preferences and habits) towards CB.

Work values: a latent class analysis of Korean employees

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinju Lee ◽  
Yunsoo Lee ◽  
Soo Jung Kim ◽  
Ji Hoon Song
Keyword(s):  
Latent Class Analysis ◽  
Human Resource Development ◽  
Human Resource ◽  
Work Values ◽  
Latent Class ◽  
Assessment Tool ◽  
National Level ◽  
Class Analysis ◽  
Content Type ◽  
Class 1

PurposeThe purpose of this study is to identify latent classes of work values that influence the career choices of Korean workers through a person-centred approach. Because work values may be diverse in individuals, investigating the various combinations of those values will help understand individual's decisions to take, maintain and leave a job.Design/methodology/approachThe authors used a total of 15,103 datasets collected at the national level in South Korea. Data were analyzed by using latent class analysis (LCA); a three-step approach was employed to address classification.FindingsAs the results of this study, Class 3, “seeking balanced work values rather than income,” presented the highest level of job satisfaction, whereas Class 1, “seeking job security and income,” exhibited the lowest.Originality/valueEmploying an assessment tool to identify the distinct combinations of work values that individuals possess and then providing them with appropriate training and development programs and customized Human Resource (HR) policies aligned with the classes will be essential tasks for HRD (Human Resource Development)/HRM (Human Resource Management) practitioners.

Integrative/ distributive negotiations in Latin America: latent class analysis

2020 ◽  
Vol 33 (3/4) ◽  
pp. 463-480
Author(s):  
Enrique Ogliastri ◽  
John Ickis ◽  
Ramiro Casó
Keyword(s):  
Latent Class Analysis ◽  
Latin American ◽  
Latent Class ◽  
The United States ◽  
Behavioral Theory ◽  
Class Analysis ◽  
Convenience Sample ◽  
Content Type ◽  
Interpersonal Orientation ◽  
The World

PurposeThe purpose of this study is to test the universality of the behavioral theory of negotiation developed in the United States, particularly the integrative/distributive models, and to find negotiators' prototypes in international negotiations conducted in a Latin American country.Design/methodology/approachAn open questionnaire was administered to a convenience sample of 104 resident foreigners (expatriates) who reported the negotiation patterns of Costa Ricans. The qualitative data were coded in 52 variables (inte-rater reliability Fleiss' Kappa K= 0.65). A total of ten variables were selected to measure distributive/integrative patterns of negotiations. Latent class analysis (LCA) uncovered the latent structure of negotiations.Findings(1) The distributive (70% found in the sample) and integrative (30%) negotiation models hold in this culture. (2) The incorporation of handling emotions and interpersonal orientation in the integrative model seem to be an important theoretical and practical trend.Research limitations/implications(1) A larger sample size is needed to compare with data from other countries of the region and the world. (2) The use of emotions and interpersonal orientation in the integrative negotiation paradigm require further investigation. As practical implications, detailed negotiation advice is offered to Costa Ricans as well as to expatriates working there.Originality/valueTo identify negotiation patterns in an understudied region of the world, the distributive/integrative models of the behavioral theory of negotiations are a key focus with which to extend the literature. There are important elements of culture within the negotiation patterns, in line with trends of an evolving paradigm of integrative crosscultural negotiations.

Does participation in the workplace spill over into political participation? A latent class analysis approach to patterns of political behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jungook Kim
Keyword(s):  
Political Participation ◽  
Latent Class Analysis ◽  
Political Behavior ◽  
Latent Class ◽  
Political Efficacy ◽  
Behavior Patterns ◽  
Class Analysis ◽  
Social Survey ◽  
Content Type ◽  
Political Behaviors

PurposeThis study examines Pateman's “spillover thesis” that democratic participation in the workplace will “spill over” into political participation. It applies a latent class analysis (LCA) to identify patterns of political behavior and uses workplace participation and political efficacy as predicting variables of political behavior patterns.Design/methodology/approachThis study analyzed the International Social Survey Programme (ISSP) in 2014 General Social Survey (GSS) data. This study applied a LCA to identify distinct patterns in people's political behaviors and did a multinomial regression analysis to predict the patterns with workplace participation and political efficacy.FindingsThe study found partial support for the spillover thesis. Among three distinct political behavior patterns, two active patterns were associated with political efficacy. However, the mediation from workplace participation to political participation through political efficacy was not supported. Respondents involved in workplace units that collectively make work-related decisions were more likely to be active in political behaviors, but only one set of political activities. Higher political efficacy was found to lead to more active overall political participation of both patterns.Originality/valueUnlike the previous studies of democratic spillover, which treated political behaviors either as independent types of behaviors or as a summative index of such binary coded variables, this study addressed such shortcomings of the previous studies by providing a more complex picture of political behavior patterns and their relationship with workplace participation. Future research can build on this unique methodological endeavor to explore a holistic picture of how workplace practices can influence politics and democracy through individual workers.

scholarly journals Public attitudes toward an authorization for contact program for clinical research

2020 ◽  
Author(s):  
Nyiramugisha K Niyibizi ◽  
Candace D Speight ◽  
Charlie Gregor ◽  
Yi-An Ko ◽  
Stephanie A Kraft ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Public Attitudes ◽  
Electronic Record ◽  
Class Analysis ◽  
Lower Odds ◽  
Interest In Research ◽  
Record Review ◽  
Experimental Survey

Abstract We conducted an online experimental survey to evaluate attitudes toward an authorization for contact (AFC) program allowing researchers to contact patients about studies based on electronic record review. A total of 1070 participants were randomly assigned to 1 of 3 flyers varying in design and framing. Participants were asked to select concerns about and reasons for signing up for AFC. Logistic regression and latent class analysis were conducted. The most commonly selected concerns included needing more information (43%), privacy (40%), and needing more time to think (28%). A minority were not interested in participating in research (16%) and did not want to be bothered (15%). Latent class analysis identified clusters with specific concerns about privacy, lack of interest in research, and not wanting to be bothered. A novel flyer with simple and positive framing was associated with lower odds of both not wanting to be bothered (P = .01) and not being interested in research (P = .01). Many concerns about AFC programs appear nonspecific. Addressing privacy, lack of interest in research, and not wanting to be bothered warrant further study as ways to enhance recruitment.

scholarly journals Patterns of Necrophilic Behaviors in Sexual Homicide: A Criminological Perspective

2020 ◽  
pp. 0306624X2096994
Author(s):  
Julien Chopin ◽  
Eric Beauregard
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Post Mortem ◽  
Class Analysis ◽  
Sexual Homicide ◽  
Primary Motivation ◽  
Deviant Behaviors ◽  
Crime Commission ◽  
Criminological Perspective ◽  
Practical Implications

This study aims to empirically explore the patterns of necrophilic behaviors in sexual homicide. More specifically, the study investigates offender, victim, and crime characteristics of sexual homicides where necrophilic acts were perpetrated, to determine whether the primary motivation to kill is associated with the attainment of corpses or whether the post-mortem sexual acts were secondary deviant behaviors. The sample used in this study consists of 109 cases of extrafamilial sexual homicides where post-mortem sexual acts were committed by offenders. Latent class analysis was used to examine each step of the crime-commission process of sexual homicide offenders involved in necrophilic behaviors. Our findings suggest that there are four different patterns of necrophilia in sexual homicide: Opportunistic, experimental, preferential, and sadistic. Preferential offenders are the only ones who specifically kill their victims in order to have sex with their corpses, while for sadistic, experimental, and opportunistic offenders post-mortem sexual acts were part of a secondary deviant process. Practical implications in terms of criminal investigations and offenders’ treatment are discussed.

scholarly journals The pattern of romantic and sexual related experiences among Chinese young adolescents: an exploration with multi-group latent class analysis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Chunyan Yu ◽  
Chaohua Lou ◽  
Qiguo Lian ◽  
Xiaowen Tu ◽  
Jiashuai Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Latent Class Analysis ◽  
Sex Education ◽  
Romantic Relationship ◽  
Latent Class ◽  
Class Analysis ◽  
Sexual Experiences ◽  
Young Adolescents ◽  
General Group

Abstract Background Studies on very young adolescents’ romantic and sexual experiences would help inform the context in which early sex arises. However, such studies are scant in China due to sparse data and cultural issues. Method This study used the GEAS baseline data conducted among1776 adolescents in Shanghai. Multi-group latent class analysis was used to explore adolescents’ romantic and sexual experiences patterns and subgroups. Multi-nominal logistic regression was performed to identify the factors distinguishing different subgroups subsequently. Results There were gender differences in the lifetime prevalence for very young adolescents’ romantic and sexual-related behaviors. The Multi-group latent class analysis indicated that the participants could be classified into three classes: general group, early romance group, and sex exploratory group. Multi-nominal logistic regression showed youth in the early romance group were more likely to had friends of both gender, ever had a romantic relationship, and had more autonomy in deciding where to go than the general group; while male respondents in the sex exploratory group were older, ever had a romantic relationship, believed that boys should be more sexually active and more proactive than girls, had more autonomy on deciding where to go, and perceived less school connection and neighborhood cohesion. Female respondents in the sex exploratory group were older and less empowered in decision-making than the general group. Conclusions The result provides a picture of romantic and sexual behavior patterns among both gender of very young adolescents in China. Current sex education needs not only to be culturally appropriate but also to address the harm of gender inequality and stereotypes, as well as to provide accessible and supportive services to help young adolescents personalize their received information and strengthen their skills in communication, decision making, and critical thinking.

scholarly journals The COVID-19 Pandemic and Intergenerational Support: Results Based on the Health and Retirement Study COVID-19 Module

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 352-352
Author(s):  
Zhen Cong ◽  
Guanggang Feng
Keyword(s):  
Logistic Regression ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Health And Retirement Study ◽  
Instrumental Support ◽  
Intergenerational Support ◽  
Class Analysis ◽  
High Interaction ◽  
Retirement Study

Abstract This study examined relationships between COVID-19 exposure and intergenerational support patterns. The data was from the 2020 Health and Retirement Study (HRS) COVID-19 Module (N=3266). The latent class analysis (LCA) was used to identify the types of intergenerational support based on respondents’ reports on whether they provided and received financial and instrumental support from either coresident children or non-coresident children. Two classes were identified, namely, the high interaction group and the low interaction group. Logistic regression showed that respondents who had COVID-19 and had increased spending as a result of COVID-19 were more likely to be in the high interaction group. Other types of COVID-19 exposure, i.e., knowing someone being diagnosed or knowing someone who died from COVID-19 were not significant.

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