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Wyszukujesz frazę "latent class" wg kryterium: Temat

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    Wyświetlanie 1-4 z 4
    Tytuł:
    Latent Class Analysis of Criminal Social Identity in a Prison Sample
    Autorzy:
    Boduszek, Daniel
    O’Shea, Catherine
    Dhingra, Katie
    Hyland, Philip
    Powiązania:
    https://bibliotekanauki.pl/articles/430748.pdf
    Data publikacji:
    2014-06-01
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Criminal Social Identity
    Latent Class Analysis
    Prisoners
    Opis:
    This study aimed to examine the number of latent classes of criminal social identity that exist among male recidivistic prisoners. Latent class analysis was used to identify homogeneous groups of criminal social identity. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the associationsto number of police arrests, recidivism, and violent offending while controlling for current age. The best fitting latent class model was a five-class solution: ‘High criminal social identity’ (17%), ‘High Centrality, Moderate Affect, Low Ties’ (21.7%), ‘Low Centrality, Moderate Affect, High Ties’ (13.3%),‘Low Cognitive, High Affect, Low Ties’ (24.6%), and ‘Low criminal social identity’ (23.4%). Each of the latent classes was predicted by differing external variables. Criminal social identity is best explained by five homogenous classes that display qualitative and quantitative differences.
    Źródło:
    Polish Psychological Bulletin; 2014, 45, 2; 192-199
    0079-2993
    Pojawia się w:
    Polish Psychological Bulletin
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Heterogeneity of change in state affect following insulin therapy initiation in type 2 diabetic patients
    Autorzy:
    Kroemeke, Aleksandra
    Kwissa-Gajewska, Zuzanna
    Gruszczyńska, Ewa
    Powiązania:
    https://bibliotekanauki.pl/articles/2128257.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    latent class growth modeling
    type 2 diabetes
    affect
    Opis:
    The aim of the study was to explore heterogeneity of change in state affect following the introduction of insulin therapy in patients with type 2 diabetes. State affect was assessed twice among 305 patients: just before the introduction of insulin therapy and at 1-month follow-up. Latent class growth modeling showed that negative affect (NA) increased in 78% of the sample, whereas positive affect (PA) improved in only 17% of the participants. On the basis of cross-tabulation of these changes a 4-class model of emotional response to the new treatment was obtained. The largest subgroup of participants (57%) manifested “threat response”, i.e. moderate-stable PA with increase in NA. Participants in the “challenge response” subgroup (11.8%) showed increases in both NA and PA. The third class (10.2%) characterized by “no response”, had low-stable NA and moderate-stable PA. The smallest “stress response” subgroup (9.8%) showed increase in NA and high-stable PA. Gender, age and education level were significant covariates of group membership. Thus, the findings revealed heterogeneous emotional response to the new treatment, which may be of clinical relevance for improving diabetic patients’ adjustment through a more individual, person-centered approach.
    Źródło:
    Polish Psychological Bulletin; 2017, 3; 338-346
    0079-2993
    Pojawia się w:
    Polish Psychological Bulletin
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Patterns of Relapse Risks and Related Factors among Patients with Schizophrenia in Razi Hospital, Iran: A Latent Class Analysis
    Autorzy:
    Noroozi, Mehdi
    Alibeigi, Neda
    Armoon, Bahram
    Rezaei, Omid
    Sayadnasiri, Mohammad
    Nejati, Somayeh
    Fadaei, Farbod
    Ghahestany, Davood Arab
    Dieji, Bahman
    Ahounbar, Elahe
    Powiązania:
    https://bibliotekanauki.pl/articles/2127857.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Razi Hospital
    Iran
    Relapse Risks
    Patients
    Schizophrenia
    Latent Class Analysis
    Opis:
    Objectives: Relapse is very much associated with the management of disorder during the treatment, but also many other factors could trigger it. The aim of this study was to explore classes and patterns of relapse risk in patients with schizophrenia of Razi Hospital. Methods: Using random sampling techniques, we recruited 300 participants with a diagnosis of schizophrenia in Razi hospital of Tehran (Iran) between January and May 2017 in a cross-sectional survey. We used latent class analysis (LCA) to establish a baseline model of risk profiles and to identify the optimal number of latent classes, and we used ordinal regression to identify factors associated with class membership. Results: Three classes of multiple relapse risk were identified. LCA showed that, overall, 52%, 22% and 26% of participants with schizophrenia were divided into class 1, class 2 and class 3, respectively. Compared to members in the lowest-risk class (reference group), the highest-risk class members had higher odds of being the age of disorder onset under 25 (OR = 1.4; CI: 1.42–2.33). Participants with schizophrenia who were unemployed were more likely to categorize in the highest-risk class than members of the low-risk class (OR = 2.5; CI: 1.44–4.1). Also, female patients were more likely to belong to members of the high-risk class than members of the low-risk class (OR = 2.22; CI: 1.74–7.64). Conclusion: These findings emphasize the importance of having targeted prevention programs for all domains of Age of onset, female and unemployed related. So, current study suggested that interventions should focus on these risk factors. Furthermore, Increasing the Job opportunities for participants with schizophrenia is warranted so as to prevent of schizophrenia disorder.
    Źródło:
    Polish Psychological Bulletin; 2018, 49, 3; 355-359
    0079-2993
    Pojawia się w:
    Polish Psychological Bulletin
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The optimum strategy for mode choice modelling of interregional fish transport considering shippers heterogeneity
    Autorzy:
    Ansu, V.
    Anjaneyulu, M. V. L. R.
    Powiązania:
    https://bibliotekanauki.pl/articles/2173935.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fish transport
    mode choice of transport
    latent class analysis
    optimal strategy
    transport ryb
    wybór środka transportu
    strategia optymalna
    Opis:
    The determinants of mode choice of interregional transport of fish, which is highly perishable, vastly differ from that of other commodities. These determinants are to be identified to improve transport efficiency. A questionnaire survey of shippers is used to collect the data. Highly correlated observed variables are combined to form four latent factors by factor analysis to reduce the errors in modelling. Logical relations among the component variables of latent factors are perceived, and mathematical formulations are used to estimate new variables. It is found that transportation costs and shipment weight contributes to factor 1, while distance contributes to factor 2. However, transportation costs are associated with distance and shipment weight. Thus, the variable, transportation cost per q-km, is estimated. Survey respondents' attitudes are also incorporated into modelling by including qualitative factors obtained by the factor analysis of shippers' preference ratings. A latent class analysis confirmed the existence of heterogeneity among shippers. Misrepresentations of effects occur in modelling if the heterogeneity in the data is not considered. No studies have found the best combination of observed variables, latent factors, estimated variables, and qualitative factors, considering shippers' heterogeneity in freight mode choice. Hence, this study is done to find the optimum modelling strategy. Modelling revealed that models built with estimated variables outperformed those built with latent factors. Including qualitative factors along with observed variables and estimated variables showed further improvement. However, the model that includes observed variables, estimated variables, and qualitative factors considering shippers' heterogeneity is the best. It was found that the mode selection behaviour of different latent classes of shippers is distinct. A mode shift from road to rail could be achieved by lowering transportation costs and increasing speed, reliability, and safety for fish transport. Expanding roll on-roll off facilities, dedicated freight corridors, parcel trains, refrigerated containers, and piecemeal service by rail promote a mode shift from road to rail and reduce energy usage.
    Źródło:
    Archives of Transport; 2022, 64, 4; 7--26
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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