Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "latent class" wg kryterium: Temat


Wyświetlanie 1-3 z 3
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
    Wyświetlanie 1-3 z 3

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies