Multiple Correspondence Analysis Technique Research Articles

Towards the UX Support to Software Startups: On the relationship of professional expertise and UX work in the Brazilian scenario

One of the topics that can help startups create a more assertive product is User eXperience (UX). Recent research has dedicated efforts to investigate factors that support and hinder the application of UX practices in software startups. The expertise of the professional who applies UX practices is cited as one of that factors; however, its relationship to the application of practices and challenges remains a topic that needs investigation. This study aims to analyze the relationship between the UX expertise of professionals from Brazilian software startups and UX practices’ application. A survey was conducted with software startups (N = 90). We performed a descriptive analysis to answer the research questions and applied Multiple Correspondence Analysis (MCA) to check the relationship between variables. Thus, we verified that most software startups do not have a UX professional, and those who apply UX practices are the CEO or developers. We also found a relationship between challenges related to lack of experience, bias in applying practices, and obtaining valuable results with the lack of a UX professional. Finally, the MCA technique showed that some challenges are independent of professional expertise, such as difficulty identifying users to participate in practices and limited resources.

The pulse of buying: mapping the conceptual structure and decoding impulse purchase patterns

Purpose This study aims to conduct a rigorous bibliometric analysis of impulse buying research trends and patterns, map the conceptual landscape of the field, identify significant themes and propose a roadmap for future studies in this domain. Design/methodology/approach This study used Snyder’s (2019) four-step systematic review approach. By using a specific search string, articles from the past 21 years (2003–2023) were retrieved from the Scopus and Web of Science databases. Performance analysis and science mapping were conducted using Biblioshiny to analyze the field’s knowledge base. Findings The volume and influence of impulse buying research have surged over the past two decades. The factorial analysis identified three main sub-themes within the impulse buying literature. In addition, Bradford’s law confirmed that the top five journals account for a significant portion of the relevant research. Despite the increased publications, author productivity diverges from Lotka’s law, indicating a few influential authors. This study provides a detailed conceptual map of the research landscape and proposes targeted future research questions by highlighting untapped opportunities. Research limitations/implications This study offers insights for refining marketing strategies and highlights the importance of ethical considerations in marketing, especially during crises. It also strengthens the theoretical foundation of impulse buying by mapping core themes and identifying unexplored areas. Originality/value This study introduces an innovative approach by using factorial analysis with the multiple correspondence analysis technique to develop a detailed conceptual structure map of impulse buying research. It applies bibliometric laws such as Bradford’s law and Lotka’s law to explain the dispersion of research articles. By identifying core themes, this study charts a roadmap for future inquiry, addressing significant gaps and uncovering new research directions.

Influencia de las emociones sobre la confianza institucional

This document examines the relationship between the collective emotions expressed by young people in Colombia at various times and their trust in the country’s institutions. An aggregated measure of institutional trust is constructed using the Multiple Correspondence Analysis technique. Subsequently, the relationship and impact of emotions on institutional trust are estimated through the fitting of a model adjusted to the Generalized Beta Type 1 density function. The emotions that generate the most social mobilization are anger, sadness, and surprise, with the latter having differential effects depending on age and levels of institutional trust. No differences in perceptions towards institutions were found based on the gender of the respondents. Issues are dynamic and may vary according to predominant emotions. Contrary to expectations, joy does not have a positive effect on institutional trust. Additionally, there is no evidence of emotional cascades, despite dynamic changes in collective emotions during each conjunctural process.

The Impact of Teleworking on the Romanians Employees’ Job Satisfaction. An Empirical Evidence Based on Multiple Correspondence Analysis (MCA) and Logistic Regression

The way of working is evolving constantly, and in the last year, the changes have been major under the influence of the COVID-19 pandemic. Even before the pandemic, the work flexibility was encouraged and stimulated in Romania by the promotion of the telework law, becoming an important factor for both employees and employers. In this context, the main goal of this paper is to test if and to what extent teleworking, as an important source of workspace flexibility can impact the way in which Romanian employees self-evaluate their level of satisfaction. In order to reach our goal, the analysis is structured into three main stages. In the first stage an aggregated indicator entitled “employee workspace flexibility composite indicator” is proposed and constructed. This indicator constructed with the help of the MCA technique (multiple correspondence analysis), using the information collected with a national level representative survey for the population of Romanian employees, is further used in logistic models with the purpose of identifying the influence of the flexibility on satisfaction. In the third stage, the main differences between subgroups are identified. The main findings support the idea that flexibility is a significant factor contributing to the increase of satisfaction, and also differences depending on region, sector and form of company. © 2021, Amfiteatru Economic. All Rights Reserved.

The Use of Multiple Correspondence Analysis to Explore Associations Between Categories of Qualitative Variables and Cancer Incidence.

Previous works have shown that risk factors for some kinds of cancer depend on people's lifestyle (e.g. rural or urban residence). This article looks into this, seeking relationships between cancer, age group, gender and population in the region of Lleida (Catalonia, Spain) using Multiple Correspondence Analysis (MCA). The dataset analysed was made up of 3408 cancer episodes between 2012 and 2014, extracted from the Population-based Cancer Registry (PCR) for Lleida province. The cancers studied were colon and rectal (1059 cases), lung (551 cases), urinary bladder (446 cases), prostate (609 cases) and breast (743 cases). The MCA technique was applied and used to search relationships among the main qualitative features. The basic statistics were the percentage explaining (variance), the inertia and the contribution of each qualitative variable. General outcomes showed a low and moderate contribution of living in rural areas to colorectal and male prostate cancer. Males in urban areas were slightly and heavily affected by lung and urinary bladder cancer respectively. The analysis of each cancer provided additional information. Colorectal cancer greatly affected males aged <60, urban residents aged 70-79, and rural females aged ≥ 80. The impact of lung cancer was high among urban females <60, moderate among males aged 70-79 and high among rural females aged ≥ 80. The results for urinary bladder cancer results were similar to those for lung cancer. Prostate cancer affected both the <60 and ≥ 80 age groups significantly in rural areas. Breast cancer hit the 70-79 group significantly and, somewhat less so, rural females aged ≥ 80. MCA was a significant help for detecting the contributions of qualitative variables and the associations between them. MCA has proven to be an effective technique for analyzing the incidence of cancer. The outcomes obtained help to corroborate suspected trends, as well as detecting and stimulating new hypotheses about the risk factors associated with a specific area and cancer. These findings will be helpful for encouraging new studies and prevention campaigns to highlight observed singularities.

Avaliação de fatores de vulnerabilidade para a infecção da AIDS em pacientes residentes no município de Santa Maria, RS

AIDS is causes concern to society and has been a challenge for health authorities, as it affects an increasing number of people, many of whom become chronically ill, who need government assistance for its treatment, thus becoming a major public health problem. This work aims to understand the epidemiological profile of AIDS in Santa Maria and present the Multiple Correspondence Analysis as an exploratory data tool. A descriptive study was carried out, which relates the number of people notified with AIDS to the region of residence in Santa Maria, using a multivariate technique. We analyzed 893 cases of AIDS reported in Santa Maria of 2007 to 2013. When the multiple correspondence maps were evaluated, there was a relationship between the number of women and the southern region of the municipality, whereas men are related to the eastern region. It was also observed that there is a relationship between the mode of transmission: women sexual intercourse with men and men sexual intercourse with women and bisexual. The multiple correspondence analysis technique provided the verification of several relationships between socio-demographic variables and vulnerability factors.

The impact of COVID-19 on people with diabetes in Brazil

The present study aims at identifying main barriers faced by people living with diabetes in Brazil during the COVID-19 pandemic. MethodsIn a convenience sampling study, data were collected from 1701 individuals, aged 18 or above; 75.54% female participants; 60.73% T1D and 30.75% T2D, between April 22nd and May 4th, using an anonymous and untraceable survey containing 20 multiple choice questions (socio-demographic; health status and habits of life during COVID-19 pandemic). Relationship between variables was established using the multiple correspondence analysis technique. Results95.1% of respondents reduced their frequency of going outside of their homes; among those who monitored blood glucose at home during the pandemic (91.5%), the majority (59.4%) experienced an increase, a decrease or a higher variability in glucose levels; 38.4% postponed their medical appointments and/or routine examinations; and 59.5% reduced their physical activity. T1D, the youngest group, was more susceptible to presenting COVID-19 symptoms despite not being testing; whilst the T2D group had higher frequency of comorbidities that are additional risk factors for COVID-19 severity. ConclusionsThis study provides a first hand revelation of the severity of COVID-19 on individuals with diabetes in Brazil. Their habits were altered, which impacted their glycemia, potentially increasing the risk of poor outcomes and mortality if infected by SARS-CoV-2, and of acute and chronic diabetes complications.

Microscopic activity sequence generation: a multiple correspondence analysis to explain travel behavior based on socio-demographic person attributes

Activity sequencing is a crucial component of disaggregate modeling approaches. This paper presents a methodology to analyse and predict activity sequence patterns for persons based on their socio-demographic attributes. The model is developed using household travel survey data from Germany. The presented method proposes an efficient approach to replace complex activity-scheduling modules in activity-based models. First, the paper describes a multiple correspondence analysis technique to identify the correlation between activity sequence patterns and socio-demographic attributes. Secondly, a probabilistic model is developed, which could predict likely activity sequence patterns for an agent based on the results of the multiple correspondence analysis. The model is predicting activity sequence patterns fairly accurately. For example, the activity sequence pattern home–work–home is well predicted ({mathrm{R}}^{2} = 0.99) for all the workers, and the activity sequence pattern home–education–home is rather well predicted ({mathrm{R}}^{2} = 0.90) for students. The model predicts the 112 most common activity sequence patterns reasonably well, which covers 72% of all activity sequence patterns observed.

The Guatemalan Construction Industry: Approach of Knowledge Regarding Work Risks Prevention.

In the present work, the results are presented for the characterization of work risk prevention in the Guatemalan construction industry. This characterization has been carried out using a simple random sampling technique, employing a questionnaire that was structured into 3 groups of variables: 1. General company data; 2. Prevention and management activities regarding health and safety in the company and on the worksite; and 3. Health and safety in the contractor companies. Following the sampling phase, the data were introduced in a database format, and a preliminary analysis was performed on the studied variables, followed by a descriptive analysis and a multiple correspondence analysis. The main findings of the study emphasize that companies in the Guatemalan construction sector are characterized as dedicating most of their activity (52.0%) indistinctly between civil engineering work, building construction and other specialized construction, mainly working as contractors (47.5%). These are “medium-sized” companies, employing an average of 81.1 on-site workers, having an average of 6.8 on-site work crews, and grossing an average turnover of 1.29 million euros annually. Likewise, it found that the larger construction companies adopt better prevention and management measures for worksite health and safety the larger companies are correlated with a high awareness of experiencing worksite accidents, while medium-sized companies have medium-level awareness. Companies with fewer workers manage workplace risk prevention worse, with low accident risk awareness. This correlation between these indicative variables of company size and workplace risk management and prevention is clearly reflected in the four company “clusters” that have been identified as having homogenous characteristics using the multiple correspondence analysis technique. Companies in the Guatemalan construction sector should make a greater effort to improve manager and worker training regarding workplace risk prevention to increase the effectiveness of company prevention management.

Tipologías de los madrileños ante la etapa final de la vida mediante un análisis de clusters

ObjectiveTo establish typologies within Madrid's citizens (Spain) with regard to end-of-life by cluster analysis. MethodThe SPAD 8 programme was implemented in a sample from a health care centre in the autonomous region of Madrid (Spain). A multiple correspondence analysis technique was used, followed by a cluster analysis to create a dendrogram. A cross-sectional study was made beforehand with the results of the questionnaire. ResultsFive clusters stand out. Cluster 1: a group who preferred not to answer numerous questions (5%). Cluster 2: in favour of receiving palliative care and euthanasia (40%). Cluster 3: would oppose assisted suicide and would not ask for spiritual assistance (15%). Cluster 4: would like to receive palliative care and assisted suicide (16%). Cluster 5: would oppose assisted suicide and would ask for spiritual assistance (24%). ConclusionsThe following four clusters stood out. Clusters 2 and 4 would like to receive palliative care, euthanasia (2) and assisted suicide (4). Clusters 4 and 5 regularly practiced their faith and their family members did not receive palliative care. Clusters 3 and 5 would be opposed to euthanasia and assisted suicide in particular. Clusters 2, 4 and 5 had not completed an advance directive document (2, 4 and 5). Clusters 2 and 3 seldom practiced their faith. This study could be taken into consideration to improve the quality of end-of-life care choices.

Correspondence between overweight and socioeconomic and demographic indicators in the adult Brazilian population.

To verify the correlation between overweight and socioeconomic and demographic indicators among Brazilian adults, using data from the Brazilian Household Budget Survey from 2008/2009. We analyzed the joint relationships between overweight and socioeconomic and demographic indicators in the Brazilian adult population (99,532,672 individuals), through the multiple correspondence analysis technique. The featured profile of the Brazilian adult population with regard to overweight was correlated with ages from 30 years of the most developed and economically social geographic regions of Brazil; however between genders, the correlation was in the opposite direction in the variables income, education, and subjective issues about life conditions related to food and nutrition security. By the joint relationship between overweight and selected demographic and socioeconomic indicators, the urgency of the development of strategies and/or preventive public health programs of health problems with overweight in the Brazilian adult population is suggested.

LIETUVOS POLITIKOS MOKSLŲ LAUKO ANALIZĖ: AIŠKINANT SKIRTINGAS POLITIKOS MOKSLO SAMPRATAS

Straipsnyje analizuojamas Lietuvos politikos mokslų laukas, ieškant atsakymo į klausimą, kaip jo veikėjai suvokia savo discipliną, ir bandoma aiškinti jų politikos mokslų sampratas. Kaip alternatyva požiūriui, kad politikos mokslų suvokimą formuojančios nuostatos yra subjektyvios ir individualios, remiantis Pierre’o Bourdieu teoriniu modeliu, siekiama parodyti objektyvių struktūrų (užimamų pozicijų, disponuojamo kapitalo) įtaką šioms nuostatoms. Straipsnyje išskiriamos politikos mokslininkų bendruomenę dalijančios skirtys, atspindinčios mokslininkų požiūrį į politikos mokslų paskirtį, jų moksliškumo sampratas, santykį su kitomis disciplinomis ir tarptautiškumo reikšmės vertinimą. Straipsnio pagrindas – empirinis Lietuvos politikos mokslininkų bendruomenės tyrimas.

Análise de correspondência como estratégia para descrição do perfil da mulher vítima do parceiro atendida em serviço especializado

Domestic violence perpetrated against women by their live-in partners may be rated as a public health problem. Knowledge of battered women's profiles helps shape specific actions that curtail this type of aggression. This paper examines the links between violence groups, and the socio-demographic status of aggressors and their victims, using the Multiple Correspondence analysis technique in order to profile the women helped by the Integrated Women's Assistance Center (CIAM). The findings showed different profiles for women assaulted by their partners in terms of the severity of the violence. Victims with severe sexually-related injuries were associated with incomplete high school educations and more than three workers resident in the home. Victims with serious physical and psychological injuries were related to university educations and graduate studies, declared as heads of families. Victims with minor physical and psychological injuries were related to relationships lasting less than five years, with high school diplomas for the women and younger aggressors, employed, and with up to three workers resident in the home.

Determining factors in family purchasing behaviour: an empirical investigation

Analyses the factors which determine family purchase behaviour. The family has traditionally been considered as an important decision‐making unit with respect to the large quantity of products and services which are purchased by households on a daily basis. Sets out to determine the variables which exert an influence when choosing a product or service (socio‐economic, individual, etc.). Concentration is centred on an analysis of the role of the spouses in an attempt to determine whether there exists a particular purchasing pattern according to the sex of the consumer. The empirical analysis has been carried out on the basis of a survey of 600 Spanish families. Using the Multiple Correspondence Analysis technique we can observe that joint decisions are made by young couples, only where the wife works, whilst in a situation where the wife does not work or the spouses have been married for many years, it is the husband alone who decides.