scholarly journals MODEL EVALUASI PEMBELAJARAN AKIDAH DAN AKHLAK DI MADRASAH TSANAWIYAH (MTs)

2016 ◽  
Vol 20 (1) ◽  
pp. 11-26
Author(s):  
Darodjat Darodjat ◽  
Darmiyati Zuchdi
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Content Validity ◽  
Random Sampling ◽  
Goodness Of Fit ◽  
Evaluation Model ◽  
Simple Random Sampling ◽  
Face Validity ◽  
Mean Square ◽  
Learning Evaluation

Penelitian ini bertujuan: (1) menghasilkan model evaluasi pembelajaran Akidah dan Akhlak di MTs, (2) menghasilkan instrumen evaluasi yang memiliki reliabilitas dan validitas, (3) mengetahui kelayakan Model Logik Evaluasi Pembelajaran Akidah dan Akhlak (MLEPAA). Penelitian ini menggunakan model Borg dan Gall. Teknik penentuan subjek penelitian untuk unit analisis siswa dengan simple random sampling sejumlah 330 siswa dari tiga MTsN di Kabupaten Banyumas, 3 orang Guru Akidah dan Akhlak, dan 3 orang Kepala MTsN. Teknik pengumpulan data yang digunakan adalah: kuesioner, tes, dan penilaian antarteman. Validitas instrumen meliputi face validity dan content validity, dianalisis dengan expert judgment, validasi konstruk dianalisis dengan konfirmatori faktor analisis (CFA), sedangkan instrumen tes dianalisis dengan bantuan program ITEMAN. Estimasi reliabilitas instrumen menggunakan formula Alpha Cronbach dan reliabilitas interrater menggunakan Cohens’ Kappa dengan program SPSS for Window 16.0. Simpulan penelitian: pertama, model evaluasi yang dihasilkan (MLEPAA) mencakup empat komponen utama, yaitu: input, activities, output, dan outcomes. Kedua, hasil analisis dengan CFA diperoleh indeks: (1) ρ-value > 0,05; (2) Root Mean Square Error of Approximation (RMSEA) < 0,8; dan (3) Goodness of Fit Index (GFI) < 0,90. Ketiga, instrumen yang dikembangkan memenuhi validitas dan reliabilitas yang baik. Keempat, berdasarkan penilaian user, MLEPAA layak digunakan.Kata kunci: model logik, evaluasi pembelajaran Akidah dan Akhlak, MTs AKIDAH AND AKHLAK LEARNING EVALUATION MODEL IN THE MADRASAH TSANAWIYAHAbstractThis study aimed to: (1) develop an evaluation model on Akidah Akhlak subject of Madrasah Tsanawiyah (MTs), (2) generate some instruments of evaluation which have validity and reliability, (3) know a worthiness model evaluation of Akidah Akhlak subject in implementation. This study was a research and development of Borg and Gall model. The subjects were determined by simple random sampling which consisted of 330 students, 3 teachers, and 3 principles in three public Madrasah Tsanawiyah in Banyumas regencies. The data gathering techniques used were questionnaires, tests, and peer assessment. The instrument validation process was carried out in terms of the face validity and content validity through expert judgment, the construct validity through the confirmatory factor analysis (CFA), and test by using ITEMAN program. The instrument reliability was analyzed using the Cronbach's Alpha technique, and inter-rater reliability was assessed using SPSS for Window 16.0. with Cohens' Kappa technique. The results of the research were as follows: firstly, the components of MLEPAA evaluation model consisted of input, activities, output, and outcomes. Secondly, the results of CFA analysis were as follows: (a) Chi-Square, p > 0.05, the acquired value is= 553.72, (b) Goodness of Fit Indices (GFI) must be 0 to 1, the acquired value is = 0.892, and (c) Root Mean Square Error of Approximation (RMSEA) < 0.05, the acquired value is = 0.000. Thirdly, instrument utilized in research had fulfilled reliability and validity. Fourth, based on assessment from user, the MLEPAA was suitable for using in MTs.Keywords: logic model, Akidah Akhlak learning evaluation, MTs

scholarly journals PENGEMBANGAN INSTRUMEN EVALUASI CIPP PADA PROGRAM PEMBELAJARAN TAHFIZ AL-QUR’AN DI PONDOK PESANTREN

2014 ◽  
Vol 18 (2) ◽  
pp. 215-233
Author(s):  
Muyasaroh Muyasaroh ◽  
Sutrisno Sutrisno
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Evaluation Model ◽  
Mean Square ◽  
Learning Program ◽  
Chi Square ◽  
Cronbach Alpha ◽  
Fit Index

Studi ini bertujuan untuk: (1) menghasilkan model pengembangan evaluasi program pembelajar’an tahfiẓ al-Quran diberi nama Coni P2, (2) menghasilkan teknik pelaksanaan evaluasi program pembelajaran tahfiẓ al-Qur’an, dan (3) menghasilkan struktur komponen dan indikator model evaluasi. Studi ini merupakan penelitian dan pengembangan (R&D) dengan menggunakan sembilan langkah dari 10 langkah model Borg dan Gall. Jumlah subjek uji coba pertama 33 orang, uji coba kedua 49 orang, dan uji coba ketiga 224 orang. Komponen model evaluasi yang digunakan adalah model evaluasi Stufflebeam (CIPP). Langkah-langkah evaluasi yang digunakan adalah langkah Malcolm Provus. Teknik pengumpul data yang digunakan adalah Delphi, FGD, kuesioner, observasi, wawancara, dan studi dokumentasi. Validitas konstruk dianalisis menggunakan CFA dan Reliabilitas menggunakan Cronbach Alpha. Hasil penelitian: (1) model evaluasi program Coni P2 dikembangkan dengan cara kajian teori, temuan di lapangan, Delphi, FGD, uji coba sebanyak tiga kali; (2) evaluasi di tiga pondok pesantren: Al-Ittifaqiah, Raudhatul Ulum, dan Raudhatul Qur’an ditemukan kesenjangan sarana belajar, kinerja guru, dan motivasi belajar santri; (3) komponen konstruk model evaluasi Coni P2 terdiri atas konteks, input, proses, dan produk, yang terbagi menjadi 13 indikator. Hasil analisis CFA: (1) Chi Square (χ²) = kecil; (2) ρ-value > 0,05; (3) Root Mean Square Error of Approximation (RMSEA) < 0,08; dan (4) Goodness of Fit Index (GFI) < 0,90.Kata kunci: pengembangan, evaluasi, tahfiẓ al-Qur’an______________________________________________________________ DEVELOPING CIPP EVALUATION INSTRUMENT FOR TAHFIZ AL-QUR’AN IN PONDOK PESANTRENAbstract The study aimed to: (1) generate an evaluation development  model of tahfiz Al-Qur’an learning program entitled Coni P2; (2) generate a technique of tahfiz Al-Qur’an learning program evaluation implementation; and (3) generate component structures and an indicators of evaluation model. The study was a research and development (R&D) type by implementing 9 of 10 steps in Borg and Gall’s model. The subject for the first trial the 33 people, for the second trial were 49 people, and for the third trial were 224 people. The implemented component of evaluation model was Stufflebeam Evaluation Model (CIPP). The evaluation steps that the researchers implemented were the ones taken from Malcolm Provus. The data gathering techniques that the researchers implemented were Delphi, FGD, questionnaires, observation, interview and study of documentation. The construct validity was analyzed by implementing CFA and the construct reliability was analyzed by implementing Cronbach Alpha. The results of the research were as follows: (1) the model of Coni P2 evaluation program was developed by implementing theoretical review, field findings, Delphi, FGD and three-time experiments; (2) from the evaluations performed in three pondok pesantren, namely Al-Ittifaqiah, Raudhatul Ulum and Raudhatul Qur’an, the researchers found discrepancy in learning facilities, teacher performance and santri’s learning motivation; and (3) the construct components of Coni P2 evaluation model consisted of context, input, process and product that were divided into 13 indicators. The results of CFA analysis were as follows: (1) (1) Chi Square (χ²) = kecil; (2) ρ-value > 0.05; (3) Root Mean Square Error of Approximation (RMSEA) < 0.08; dan (4) Goodness of Fit Index (GFI) < 0.90.Keywords: development, evaluation, tahfiz Al-Qur’an

Investigation of Accuracy of a Calibrated Estimator of a Ratio by Modelling

2005 ◽  
Vol 10 (4) ◽  
pp. 333-342
Author(s):  
V. Chadyšas ◽  
D. Krapavickaitė
Keyword(s):  
Mean Square Error ◽  
Taylor Series ◽  
Random Sampling ◽  
Finite Population ◽  
Taylor Series Expansion ◽  
Simple Random Sampling ◽  
Population Parameter ◽  
Mean Square ◽  
Parameter Ratio ◽  
Using Data

Estimator of finite population parameter – ratio of totals of two variables – is investigated by modelling in the case of simple random sampling. Traditional estimator of the ratio is compared with the calibrated estimator of the ratio introduced by Plikusas [1]. The Taylor series expansion of the estimators are used for the expressions of approximate biases and approximate variances [2]. Some estimator of bias is introduced in this paper. Using data of artificial population the accuracy of two estimators of the ratio is compared by modelling. Dependence of the estimates of mean square error of the estimators of the ratio on the correlation coefficient of variables which are used in the numerator and denominator, is also shown in the modelling.

scholarly journals Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland

Atmosphere ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 43 ◽  
Author(s):  
Dariusz Młyński ◽  
Andrzej Wałęga ◽  
Andrea Petroselli ◽  
Flavia Tauro ◽  
Marta Cebulska
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Daily Precipitation ◽  
Probability Distributions ◽  
Random Variables ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Probability Of Exceedance

The aim of this study was to determine the best probability distributions for calculating the maximum annual daily precipitation with the specific probability of exceedance (Pmaxp%). The novelty of this study lies in using the peak-weighted root mean square error (PWRMSE), the root mean square error (RMSE), and the coefficient of determination (R2) for assessing the fit of empirical and theoretical distributions. The input data included maximum daily precipitation records collected in the years 1971–2014 at 51 rainfall stations from the Upper Vistula Basin, Southern Poland. The value of Pmaxp% was determined based on the following probability distributions of random variables: Pearson’s type III (PIII), Weibull’s (W), log-normal, generalized extreme value (GEV), and Gumbel’s (G). Our outcomes showed a lack of significant trends in the observation series of the investigated random variables for a majority of the rainfall stations in the Upper Vistula Basin. We found that the peak-weighted root mean square error (PWRMSE) method, a commonly used metric for quality assessment of rainfall-runoff models, is useful for identifying the statistical distributions of the best fit. In fact, our findings demonstrated the consistency of this approach with the RMSE goodness-of-fit metrics. We also identified the GEV distribution as recommended for calculating the maximum daily precipitation with the specific probability of exceedance in the catchments of the Upper Vistula Basin.

scholarly journals Adaptação transcultural Portugal-Brasil do Inventário de Burnout de Maslach para estudantes

2012 ◽  
Vol 46 (5) ◽  
pp. 816-824 ◽  
Author(s):  
Juliana Alvares Duarte Bonini Campos ◽  
João Maroco
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Fit Index

OBJETIVO: Realizar a adaptação transcultural da versão em português do Inventário de Burnout de Maslach para estudantes e investigar sua confiabilidade, validade e invariância transcultural. MÉTODOS: A validação de face envolveu participação de equipe multidisciplinar. Foi realizada validação de conteúdo. A versão em português foi preenchida em 2009, pela internet, por 958 estudantes universitários brasileiros e 556 portugueses da zona urbana. Realizou-se análise fatorial confirmatória utilizando-se como índices de ajustamento o χ²/df, o comparative fit index (CFI), goodness of fit index (GFI) e o root mean square error of approximation (RMSEA). Para verificação da estabilidade da solução fatorial conforme a versão original em inglês, realizou-se validação cruzada em 2/3 da amostra total e replicada no 1/3 restante. A validade convergente foi estimada pela variância extraída média e confiabilidade composta. Avaliou-se a validade discriminante e a consistência interna foi estimada pelo coeficiente alfa de Cronbach. A validade concorrente foi estimada por análise correlacional da versão em português e dos escores médios do Inventário de Burnout de Copenhague; a divergente foi comparada à Escala de Depressão de Beck. Foi avaliada a invariância do modelo entre a amostra brasileira e a portuguesa. RESULTADOS: O modelo trifatorial de Exaustão, Descrença e Eficácia apresentou ajustamento adequado (χ²/df = 8,498; CFI = 0,916; GFI = 0,902; RMSEA = 0,086). A estrutura fatorial foi estável (λ: χ²dif = 11,383, p = 0,50; Cov: χ²dif = 6,479, p = 0,372; Resíduos: χ²dif = 21,514, p = 0,121). Observou-se adequada validade convergente (VEM = 0,45;0,64, CC = 0,82;0,88), discriminante (ρ² = 0,06;0,33) e consistência interna (α = 0,83;0,88). A validade concorrente da versão em português com o Inventário de Copenhague foi adequada (r = 0,21;0,74). A avaliação da validade divergente do instrumento foi prejudicada pela aproximação do conceito teórico das dimensões Exaustão e Descrença da versão em português com a Escala de Beck. Não se observou invariância do instrumento entre as amostras brasileiras e portuguesas (λ:χ²dif = 84,768, p < 0,001; Cov: χ²dif = 129,206, p < 0,001; Resíduos: χ²dif = 518,760, p < 0,001). CONCLUSÕES: A versão em português do Inventário de Burnout de Maslach para estudantes apresentou adequada confiabilidade e validade, mas sua estrutura fatorial não foi invariante entre os países, apontando ausência de estabilidade transcultural.

DRYING KINETICS AND MOISTURE DIFFUSIVITY OF FOUR VARIETIES OF BAMBARA BEANS

2021 ◽  
Vol 6 (1) ◽  
pp. 30-33
Author(s):  
E.O. Awotona ◽  
A.O. Alade ◽  
S.A. Adebanjo ◽  
O. Duduyemi ◽  
T.J. Afolabi
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Moisture Diffusivity ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Fit Statistics ◽  
Drying Behavior ◽  
Maximum Coefficient

Drying of bambara beans was studied at 40oC at every 30 minutes in a Laboratory oven. Effective moisture diffusivity ranges between 5.886 x 10-10 m2/s – 4.354 x 10-10 m2/s respectively. The statistical criteria used in evaluation of the model were maximum coefficient of determination R2 and minimum root mean square error [RMSE]. Determination for goodness of fit statistics for drying of the beans was carried out. Midilli model was used to predict the drying curve. The Midili model was found to produce accurate predictions for all the four varieties of bambara beans and the model was shown to be an excellent model for predicting drying behavior of TVSU-47 and the R2 value was 0.9971 and the value of root mean square error was 0.0149 respectively.

scholarly journals Modelagem de Equações Estruturais e os testes de seleção – Caso do vestibular da Universidade Estadual do Ceará

2021 ◽  
Author(s):  
José Leudo Maia ◽  
Marcos Antonio Martins Lima
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Fit Index ◽  
Tucker Lewis Index

Resumo Este estudo teve como objetivo fazer uso da Modelagem de Equações Estruturais – MEE, para avaliar a qualidade do modelo empregado pela Universidade Estadual do Ceará (UECE), no processo de seleção de seus vestibulandos, o qual é baseado na Teoria Clássica dos Testes (TCT), assim como propor ajuste a esse modelo pelo uso da Análise Fatorial de Segunda Ordem e da Análise de Regressão, via MEE. Utilizou-se um banco de dados composto dos resultados das provas de 11.060 candidatos ao vestibular de 2018.1, cujo tratamento se deu por meio do software IBM SPSS Amos (2013, v.22), obtendo-se os seguintes indicadores de qualidade: CFI ( Comparative Fit Index ) = 0,925; GFI ( Goodness-of-fit Index ) = 0,965; TLI ( Tucker Lewis Index ) = 0,922, e RMSEA ( Root Mean Square Error of Aproximation ) = 0,019. Juntos, esses indicadores demonstraram que o modelo é robusto e bastante consistente, apresentando um R 2 (Coeficiente de Correlação de Pearson ) = 0,965, indicando que a proporção das covariâncias observadas entre as variáveis manifestas e explicada pelo modelo ajustado é bastante significativa. Todas as variáveis do modelo ajustado apresentaram elevados coeficientes de regressão com valores entre 0,87 e 0,99, permitindo uma boa discriminação entre as notas dos vestibulandos, principalmente aqueles com o mesmo número de questões respondidas corretamente.

scholarly journals Poisson Regression-Based Mean Estimator

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Usman Shahzad ◽  
Shabnam Shahzadi ◽  
Noureen Afshan ◽  
Nadia H. Al-Noor ◽  
David Anekeya Alilah ◽  
...  
Keyword(s):  
Regression Model ◽  
Mean Square Error ◽  
Random Sampling ◽  
Poisson Regression ◽  
Simple Random Sampling ◽  
Mean Square ◽  
Poisson Regression Model ◽  
The Mean ◽  
Ratio Estimators

The most frequent method for modeling count responses in numerous investigations is the Poisson regression model. Under simple random sampling, this paper offers utilizing Poisson regression-based mean estimator and discovers its associated formula of the mean square error (MSE). The MSE of the proposed estimator is compared to the MSE of traditional ratio estimators in theory. As a result of these evaluations, the proposed estimator has been proven to be more efficient than traditional estimators. Furthermore, the practical results corroborated the theoretical findings.

scholarly journals Escala de Disposição para Perdoar: estrutura, consistência interna e invariância fatorial

2015 ◽  
Vol 32 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Valdiney Veloso Gouveia ◽  
Leogildo Alves Freires ◽  
Rildésia Silva Veloso Gouveia ◽  
José Farias de Souza Filho ◽  
Roosevelt Vilar Lobo de Souza ◽  
...  
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Fit Index

Este artigo teve como objetivo adaptar para o contexto brasileiro a Escala de Disposição para Perdoar, conhecendo evidências de validade (fatorial e convergente) e precisão (consistência interna, homogeneidade e confiabilidade composta). Nesse sentido, realizaram-se dois estudos. No estudo 1, participaram 220 estudantes universitários de uma instituição privada de João Pessoa, Paraíba, com idade média de 24 anos (81,7% do sexo feminino), que responderam à Escala de Disposição para Perdoar e a perguntas demográficas. Uma análise de componentes principais revelou uma estrutura unifatorial, explicando 44,3% da variância total, com alfa de Cronbach (α) de 0,88. No estudo 2, participaram 302 estudantes universitários de uma instituição pública da mesma cidade, apresentando idade média de 22 anos (52,3% do sexo masculino), tendo respondido aos mesmos instrumentos. Uma análise fatorial confirmatória corroborou a estrutura unifatorial (Goodness-of-Fit Index = 0,90, Root Mean-Square Error of Approximation = 0,09), que se mostrou invariante quanto ao gênero dos participantes (ΔRoot Mean-Square Error of Approximation <0,01). Além disso, observaram-se índices favoráveis de precisão (α = 0,85, homogeneidade = 0,30 e confiabilidade composta = 0,85), mostrando evidências de validade convergente (Variância Média Extraída = 0,82). Concluiu-se que a medida apresenta evidências de validade e precisão no contexto de pesquisa, porém são demandados novos estudos sobre sua estabilidade temporal e validade discriminante.

scholarly journals Validação da estrutura fatorial do Körperkoordination Test für Kinder (KTK) em escolares de 8 a 10 anos

2020 ◽  
Vol 8 (3) ◽  
pp. 31
Author(s):  
João Otacilio Libardoni Dos Santos ◽  
Pâmella De Medeiros ◽  
Fernando Luiz Cardoso ◽  
Nilton Soares Formiga ◽  
Nayara Christine Souza ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Akaike Information Criterion ◽  
Goodness Of Fit ◽  
Cross Validation ◽  
Information Criterion ◽  
Mean Square ◽  
Fit Index ◽  
Close Fit

Objetivo: Avaliar a estrutura fatorial do teste KTK em crianças em idade escolar, na faixa etária entre 8 e 10 anos, com base na estrutura unifatorial do KTK. Método: Foram avaliados 350 escolares da cidade de Manaus-AM com idade entre 8 e 10 anos de ambos os sexos. Para análise dos dados considerou-se como entrada, a matriz de covariância, tendo sido adotado o estimador ML (Maximum-Likelihood). Foram utilizados os seguintes indicadores: χ²/gl (qui-quadrado e grau de liberdade), Goodness-of-Fit Index (GFI), Adjusted Goodness-of-Fit Index (AGFI), Root-Mean-Square Error of Approximation (RMSEA), p de Close Fit (PCLOSE), Comparative Fit Index (CFI), Expected Cross-Validation Index (ECVI) e o Consistent Akaike Information Criterion (CAIC). Resultados: A análise fatorial confirmou o modelo unifatorial original da bateria de testes. Deixando livre as covariâncias (phi, φ) entre os itens, os resultados revelaram que os indicadores de qualidade de ajuste são aceitáveis para o modelo proposto, o qual é composto por quatro itens distribuídos em um único fator (χ²/gl = 1.09; GFI = 0.99; AGFI = 0.94; CFI = 0.97; TLI = 0.92; RMSEA = 0.07; PCLOSE = 0.10). Observou-se ainda que todas as saturações (Lambdas, λ), tanto estiveram dentro do intervalo esperado |0 - 1| quando foram estatisticamente diferentes de zero (t > 1.96, p < 0.05). Conclusões: Foi possível identificar aceitáveis evidências de validade baseada na estrutura interna do KTK proposto pelos autores originais confirmando a sua capacidade de investigar e classificar o nível de coordenação motora de crianças, identificando possíveis perturbações ou insuficiências na população avaliada.

scholarly journals On the Estimation of Population Mean Under Systematic Sampling Using Auxiliary Attributes

2016 ◽  
Vol 1 (1-2) ◽  
pp. 21-25 ◽  
Author(s):  
Usman Shahzad
Keyword(s):  
Mean Square Error ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Sampling Scheme ◽  
Systematic Sampling ◽  
Mean Square ◽  
Numerical Illustration ◽  
Systematic Random Sampling ◽  
Population Mean ◽  
New Family

Naik and Gupta (1996), Singh et al. (2007) and Abd-Elfattah et al. (2010) introduced some estimators for estimating population mean using available auxiliary attributes under simple random sampling scheme. We adapt these estimators under systematic random sampling scheme using available auxiliary attributes. Further, a new family of estimators is proposed for the estimation of population mean under systematic random sampling scheme. The properties such as bias and mean square error of the proposed estimators are derived. From numerical illustration it is shown that proposed estimators are more efficient than the reviewed ones.

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