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    Wyświetlanie 1-13 z 13
    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:
    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
    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:
    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
    Artykuł
    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
    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:
    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
    Artykuł
    Tytuł:
    Item response theory models in the measurement theory with the use of LTM package in R
    Analiza teorii odpowiedzi na pozycje testowe w teorii pomiaru z zastosowaniem pakietu LTM programu R
    Autorzy:
    Brzezińska, Justyna
    Powiązania:
    https://bibliotekanauki.pl/articles/424883.pdf
    Data publikacji:
    2018
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    Item Response Theory (IRT)
    measurement theory
    latent class analysis
    R software
    Opis:
    Item Response Theory (IRT) is an extension of the Classical Test Theory (CCT) and focuses on how specific test items function in assessing a construct. They are widely known in psychology, medicine, and marketing, as well as in social sciences. An item response model specifies a relationship between the observable examinee test performance and the unobservable traits or abilities assumed to underlie performance on the test. Within the broad framework of item response theory, many models can be operationalized because of the large number of choices available for the mathematical form of the item characteristic curves. In this paper we introduce several types of IRT models such as: the Rasch, and the Birnbaum model. We present the main assumptions for IRT analysis, estimation method, properties, and model selection methods. In this paper we present the application of IRT analysis for binary data with the use of the ltm package in R.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 1; 11-25
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Workplace flexibility in Poland – the polytomous IRT models formulated by latent class approach
    Gotowość do zmian warunków pracy w Polsce – analiza z wykorzystaniem politomicznych modeli IRT w podejściu modelowym w taksonomii
    Autorzy:
    Genge, Ewa
    Powiązania:
    https://bibliotekanauki.pl/articles/593000.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Item response theory
    Latent class models
    Polytomous responses
    Analiza klas ukrytych
    Podejście modelowe w taksonomii
    Teoria IRT
    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 heterogeneous multivariate discrete data. The combination of the two mentioned latent variable models concerns the assumption that the population under study is composed by homogeneous classes of individuals with very similar latent trait levels. In this approach, the model selection is based on the ordered steps consisting of selecting specific features, such as the number of latent dimensions, the number of latent classes, and the constraints on the item parameters. The main goal of the paper is to find groups of Poles not currently working for pay with similar workplace flexibility levels and to analyse the (selected) item characteristics of the International Social Survey Programme questionnaire, as well using the discretized variant of polytomous IRT models, formulated by a latent class approach.
    Teoria reakcji na pozycję (item response theory) zaliczana jest do jednego z dwóch nurtów metodologicznych w ocenie rzetelności skali. Z kolei analizę klas ukrytych (latent class analysis) można wpisać w nurt podejścia modelowego w taksonomii, wykorzystujący ideę mieszanek rozkładów. Modele te wykorzystywane są do analizy jakościowych zbiorów danych o niejednorodnej strukturze, w których liczba klas jest nieznana (tzw. zmienna ukryta). W ostatnim czasie na popularności zyskuje podejście modelowe w taksonomii, łączące teorię reakcji na pozycje z modelami klas ukrytych. W pracy przedstawiono zastosowanie podejścia modelowego w taksonomii wykorzystującego teorię IRT w badaniu umiejętności dostosowania się do zmian polskich respondentów poszukujących pracy. Badania przeprowadzone zostały z wykorzystaniem pakietu MultiLCIRT programu R dla danych pochodzących z Międzynarodowego Programu Sondaży Społecznych ISSP 2015.
    Źródło:
    Studia Ekonomiczne; 2017, 344; 25-38
    2083-8611
    Pojawia się w:
    Studia Ekonomiczne
    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
    Tytuł:
    The Experience of Peer Aggression as a Heterogeneous Phenomenon: A Latent Class Analysis
    Doświadczenie agresji rówieśniczej jako zjawisko niejednorodne. Analiza klas latentnych
    Autorzy:
    Frankowiak, Joanna
    Kotyśko, Martyna
    Powiązania:
    https://bibliotekanauki.pl/articles/28763353.pdf
    Data publikacji:
    2022
    Wydawca:
    Akademia Ignatianum w Krakowie
    Tematy:
    peer aggression
    adolescents
    latent class analysis
    prevention
    cyber aggression
    traditional aggression
    agresja rówieśnicza
    adolescenci
    analiza klas latentnych
    profilaktyka
    cyberagresja
    agresja tradycyjna
    Opis:
    Peer aggression, when escalated and regular, has negative consequences for proper psychosocial development. The main aim of this study was to identify classes among middle school students according to similarity in terms of experiencing particular forms and manifestations of peer aggression. Data were collected using a proprietary questionnaire, from which 10 questions forming indicators of experienced aggression (five forms, two manifestations each) were used for analysis. A total of 1.050 middle school students (525 boys and girls each) aged 13 and 14 participated in the study. The students most often experienced verbal and relational aggression, and least often sexual aggression. Boys were more likely to report experiencing physical and verbal aggression (being insulted), while girls reported being the target of gossip and cyber aggression (offensive comments). Using Latent Class Analysis, we analyzed a model with six classes as follows: Low all, High verbal and relational, High physical and verbal, High all without sexual, High all and High sexual, cyber and relational. The results show that the phenomenon of peer aggression is not homogeneous and that the design of preventive measures should take into account the specificity of the experiences of its victims.
    Agresja jest wpisana w relacje rówieśnicze. Jednak nasilona i realizowana w sposób systematyczny, niesie ze sobą negatywne skutki dla prawidłowego rozwoju psychospołecznego. Głównym celem badań było wyłonienie wśród uczniów klas ze względu na podobieństwo w zakresie doświadczania poszczególnych form i przejawów agresji rówieśniczej. Dane zgromadzono za pomocą autorskiego kwestionariusza, z którego do analizy użyto 10 pytań tworzących wskaźniki doświadczanej agresji (pięć form, po dwa przejawy). W badaniu wzięło udział 1050 uczniów gimnazjum (po 525 chłopców i dziewcząt) w wieku 13 i 14 lat. Uczniowie najczęściej doświadczali agresji werbalnej i relacyjnej, a najrzadziej przejawów agresji seksualnej. Chłopcy częściej informowali o doświadczaniu agresji fizycznej i werbalnej (bycie wyzywanym), a dziewczęta o doświadczeniu plotkowania na swój temat i cyberagresji (obraźliwe komentarze). Wykorzystując Analizę Klas Latentnych, poddano analizie model z sześcioma klasami: Wszystkie wskaźniki niskie, Wysoka werbalna i relacyjna, Wysoka fizyczna i werbalna, Wysokie wszystkie poza seksualną, Wysokie wszystkie wskaźniki oraz Wysoka seksualna, cyber i relacyjna. Uzyskane rezultaty pokazują, że zjawisko agresji rówieśniczej nie jest homogeniczne, a projektowanie działań profilaktycznych powinno uwzględniać specyfikę doświadczeń jej ofiar.
    Źródło:
    Studia Paedagogica Ignatiana; 2022, 25, 4; 45-66
    2450-5358
    2450-5366
    Pojawia się w:
    Studia Paedagogica Ignatiana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification of customers’ purchasing behaviour profiles in the context of corporate social responsibility
    Autorzy:
    Kiliańska, Katarzyna
    Pajęcki, Michał
    Powiązania:
    https://bibliotekanauki.pl/articles/27313497.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    corporate social responsibility
    customer profile
    purchasing behaviour
    food industry
    latent class analysis
    społeczna odpowiedzialność biznesu
    profil klienta
    zachowania zakupowe
    przemysł spożywczy
    analiza klas ukrytych
    Opis:
    Purpose: The aim of the article is to identify customers' purchasing behaviour profiles on the basis of characterizing the process of making a decision to purchase a product from food industry companies’ indicators (observable variables) in the context of corporate social responsibility (CSR). Design/methodology/approach: The data for the research were collected from a survey concerning a group of 801 customers from the Świętokrzyskie Voivodeship. The resources were pre-explored and pre-processed to enable further studies. In order to obtain customers profiles, the latent class analysis (LCA) method was used. It enables identification of homogeneous groups (latent classes) of customers based on selected indicators. Findings: The impact on customers’ purchasing behaviour of 15 CSR activities undertaken by enterprises from several different groups (in relation to: environment, society, employees, contractors, and customers) was examined. Six profiles of customer purchasing behaviour were identified. They were labelled and subjected to descriptive characteristics. Research limitations/implications: The results point out the need to continue the research based on a broader countrywide data set. Practical implications: The research findings can contribute to improving the effectiveness of food industry companies in the range of CSR activities. Due to this, these companies will be able to take more effective steps to retain existing customers and acquire new ones. Social implications: Taking corporate social responsibility actions contributes to solve social and environmental problems. It can also affect the quality of life in a society. Nowadays, it is an important and developmental research area. Originality/value: The conducted study showed that latent class analysis is proper tool for analysing the qualitative data obtained in the questionnaire surveys. The work provides a vital information on the impact of corporate social responsibility activities by food industry companies on customers' purchasing behaviour.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2022, 162; 291--313
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Latent Structure of the Curriculum for Primary Teacher Education in Serbia
    Autorzy:
    Rodić, Nedeljko
    Rodić Lukić, Vesna N.
    Powiązania:
    https://bibliotekanauki.pl/articles/26469704.pdf
    Data publikacji:
    2013-03-31
    Wydawca:
    Wydawnictwo Adam Marszałek
    Tematy:
    education
    class teacher
    latent structure
    Opis:
    This paper attempts to determine the latent structure of the curriculum for primary school teacher education in the first cycle of studies at Serbian teacher training and education faculties. By applying the factor analysis into the first level of teacher education, four latent dimensions could be identified that could be nominated as General Education, Basic Education, Methodological Education, Specific Education, and one bipolar factor. The results indicate that learning outcomes and competences in certain fields of instruction should be re-examined and re-directed in line with the experience of the EU countries in order to harmonize and modernize the curriculum for primary teacher education in Serbia.
    Źródło:
    The New Educational Review; 2013, 31; 63-74
    1732-6729
    Pojawia się w:
    The New Educational Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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