Temat: latent class - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

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Skocz do pozycji: 2.

Tytuł:: Evaluation of College Students with Application of Latent Class Analysis
Ocena preferencji uczniów szkoły policealnej z wykorzystaniem analizy klas ukrytych
Autorzy:: Rybicka, Aneta
Pełka, Marcin
Powiązania:: https://bibliotekanauki.pl/articles/906857.pdf
Data publikacji:: 2012
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:: Latent class analysis
segmentation
evaluation of college students
Opis:: In social sciences, especially in economy, to reveal relations between variables it’s easy to apply many known statistical tools when we deal with observable (measureable) variables. The problems appear when dealing with latent variables – that are not directly observed and they are of subjective matter. It’s also an important issue to measure relations between latent variables. The example of latent variables are preferences. The preferences play a very important role in economy. Very often real market decisions, choices (or answers in a questionnaire) are described by non-metric variables (nominal and ordinal). These variables are also called qualitative. The latent class analysis allows to reveal hidden relations between observable variables. The observable variables allow, with a specified probability, to find a non-observable phenomenon. The latent class analysis allows to analyze the qualitative data [see: McCutcheon 1987, p. 7; 11; Hagenaars 1993, p. 21–23]. LCA was introduced by Lazarsfeld in 1950 [1968]. The paper presents evaluation of college students with application of latent class analysis. To obtain such a goal data collected (winter recruitment of 2008/2009) by a college in Walbrzych was used.
Źródło:: Acta Universitatis Lodziensis. Folia Oeconomica; 2012, 269
0208-6018
2353-7663
Pojawia się w:: Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

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

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Skocz do pozycji: 4.

Tytuł:: Analysis of latent class models in economic research
Analiza modeli zmiennych ukrytych w badaniach ekonomicznych
Autorzy:: Brzezińska, Justyna
Powiązania:: https://bibliotekanauki.pl/articles/425114.pdf
Data publikacji:: 2016
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: latent class models
latent variables
categorical data analysis
R software
Opis:: Latent variable models are used and applied in many areas of the social and behavioral sciences. The increasing availability of computer packages for fitting such models makes latent variable models popular, known and applied in many scientific areas. Latent variable models have a very wide range of applications, especially in the presence of repeated observations, longitudinal data, and multilevel data. The basic model postulates an underlying categorical latent variable; within any category of the latent variable the manifest or observed categorical variables are assumed independent of one another (the axiom of conditional independence). The observed relationships between the manifest variables are thus assumed to result from the underlying classification of the data produced by the categorical latent variable. In this paper we present the theoretical and methodological aspects of latent variable models, as well as their application in R software in the field of economic research.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 4 (54); 36-47
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: IRT and LC-IRT models for items with ordinal polytomous responses
Modele IRT oraz LC-IRT dla zmiennych politomicznych (o kategoriach uprządkowanych)
Autorzy:: Genge, Ewa
Powiązania:: https://bibliotekanauki.pl/articles/425165.pdf
Data publikacji:: 2017
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: IRT theory
polytomous IRT models
latent trait
latent class models
Opis:: Item response theory (IRT) is a model-based theory in which the responses to test items depend on some person and item characteristics, according to specific probabilistic rela-tions. The simplest and most popular are dichotomous IRT models that specify a single (i.e. unidimensional) latent trait under the assumption of normal distribution. This article reviews the latent class ordinal polytomous item response models (LC-IRT) and presents the compari-son with the well-known traditional IRT models (based on the assumption of a normally dis-tributed latent trait). The main goal of the article is to compare the estimation results of differ-ent kinds of ordinal polytomous IRT models with continuous and discrete latent variable in measuring job satisfaction in Poland. We analyzed data collected as part of the International Social Survey Programme using the ltm and MultiLCIRT packages of R.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2017, 4 (58); 62-76
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Social Determinants of Opinions about Banks
Autorzy:: Idzik, Marcin
Powiązania:: https://bibliotekanauki.pl/articles/485177.pdf
Data publikacji:: 2018-09-13
Wydawca:: Bankowy Fundusz Gwarancyjny
Tematy:: economic competence
bank assessment
typological classification
latent class model
Opis:: The objective of the research was to identify and select homogeneous segments of consumers in terms of their competence on the market of the financial services, as well as to evaluate the influence of the consumers’ economic competence on the relations with banks. The sociodemographic features as well as the place that the consumer occupies within the social structures provide a poor explanation of the evaluation of the banks. Opinions about banks are poorly correlated with the socio-economic status of the consumer. There is a weak relationship between the economic status of the consumer and his/her economic competence. There is a strong correlation between the economic competence of a consumer and the overall evaluation of the banks. Four homogeneous groups of consumers were selected in terms of economic competence: Self-excluded (17%), Uninterested (48%), Second-raters (30%), and Leaders (6%). The segmentation was conducted using latent class analysis (LCA). The latent class analysis enabled one to identify the subtypes of the interconnected features which are unobserved in the traditional model. The source of the empirical data is comprised of the field research results conducted by the CAPI method on a nationwide representative sample of the residents of Poland, N=3000.
Źródło:: Bezpieczny Bank; 2018, 2 (71); 96-112
1429-2939
Pojawia się w:: Bezpieczny Bank
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Teoria reakcji na pozycję w podejściu modelowym w takso- nomii
Item response theory in model-based clustering
Autorzy:: Genge, Ewa
Powiązania:: https://bibliotekanauki.pl/articles/425062.pdf
Data publikacji:: 2016
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: item response theory
latent class analysis
model-based clustering
Opis:: Item response theory is considered to be one of the two trends in methodological assessment of the reliability scale. In turn, latent class models can be viewed as a special case of model-based clustering, for heterogenous multivariate discrete data. We used the approach combining item response theory and latent class models to find groups of Polish households’ with similar saving ability levels. We analyzed data collected as part of the Polish Social Diagnosis using MultiLCIRT package of R.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 1 (51); 9-19
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Poczucie śląskości wśród Ślązaków – analiza empiryczna z wykorzystaniem modeli klas ukrytych
A sense of being Silesian – an empirical analysis with the use of latent class models
Autorzy:: Genge, Ewa
Powiązania:: https://bibliotekanauki.pl/articles/425295.pdf
Data publikacji:: 2013
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: latent class analysis
mixture model
model-based clustering
categorical data
Opis:: The paper focuses on latent class models and their application for quantitative data. Latent class modeling is one of multivariate analysis techniques of the contingency table and can be viewed as a special case of model-based clustering, for multivariate discrete data. It is assumed that each observation comes from one of the numbers of subpopulations, with its own probability distribution. We used latent class analysis for grouping and detecting homogeneity of Silesian people using poLCA package of R. We analyzed data collected by the Department of Social Pedagogy, University of Silesia in Katowice.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 4(42); 48-59
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

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

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Skocz do pozycji: 10.

Tytuł:: Latent class analysis in the evaluation of items in survey research
Analiza klas ukrytych w ocenie pozycji testowych w badaniach sondażowych
Autorzy:: Brzezińska, Justyna
Powiązania:: https://bibliotekanauki.pl/articles/424869.pdf
Data publikacji:: 2018
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: latent class analysis
log-linear models
item response
survey questions
Opis:: Latent class analysis has been widely used in the measurement models. Models based on latent variables have a wide range of applications in the presence of repeated ob-servations, longitudinal data, and multilevel data. In this paper we present and apply log-linear analysis as a method for the analysis of multi-way tables. We also present a latent variable model based on a variable that is not directly observed. The basic model postulates an underlying categorical latent variable; within any category of the latent variable the manifest or observed categorical variables are assumed independent of one another (axiom of conditional independence). In this paper we present the results of a survey research based on categorical data and the author`s questionnaire. We present the results of the latent class analysis in the classification of respondents into clusters characterized by similar attitudes and features in economic research. We also conduct a prior log-linear analysis for a multi-way contingency table. All the calculations are conducted in R.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 3; 55-65
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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