scholarly journals Structural Causality Between National Examination Score and The School Accreditation Categories

2022 ◽  
Vol 8 (1) ◽  
pp. 73-78
Author(s):  
Anwar Fitrianto ◽  
Budi Susetyo ◽  
Iswan Achlan Setiawan
Keyword(s):  
Academic Achievement ◽  
Causal Relationship ◽  
Latent Variable ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Educational Theory ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
Ministry Of Education ◽  
National Education

This study aims to compare and determine the best model to describe the relationship between National Education Standard (NES) and CBNE scores using generalized structured component analysis. Model 1 describes the causal relationship between the NES and CBNE based on the educational theory of the Ministry of National Education and the Ministry of Religion (2010), Model 2 describes the causal relationship between the NES and CBNE based on the educational theory of the Ministry of Education and Culture (2012), and Model 3 describes the causal relationship between the NES and CBNE based on the educational theory of the Ministry of Education and Culture (2017). The results of the structural model evaluation have found that in Model 1, the SI path coefficient to Academic Achievement (PA) is not significant, in Model 2, the SI path coefficient to PA and SPT to SPN is not significant and in Model 3, the SI path coefficient to PA is also not significant. The coefficient of determination of each endogenous latent variable for each model ranges from 0.20 - 0.75. While the resulting Q-square value for all models is more than 0.9 to represent very good predictive relevance. Based on the overall goodness of fit, it is found that Model 3 produces the largest FIT and AFIT values. So it can be said that model 3 is better than other models. This model produces 11 invalid indicator variables, namely points 17, 39, 51, 55, 57, 59, 73, 75, 76, 80, and 108. The study found that National Education Standards that significantly affect academic achievement are graduate competency standards, process standards, and educational assessment standards

scholarly journals Analisis Pengaruh Model HOT-Fit Terhadap Pemanfaatan Sistem Informasi Kinerja Anggaran

2020 ◽  
Vol 7 (4) ◽  
pp. 823
Author(s):  
Naretha Kawadha Pasemah Gumay ◽  
Rahmat Gernowo ◽  
Oky Dwi Nurhayati
Keyword(s):  
User Satisfaction ◽  
Information Quality ◽  
Structural Model ◽  
System Development ◽  
T Test ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
System Quality ◽  
Net Benefit ◽  
System Use

<p class="Abstrak">Sistem informasi kinerja anggaran digunakan untuk memantau kinerja anggaran di fakultas Universitas Sriwijaya berdasarkan Indikator Kinerja Pelaksanaan Anggaran. Analisis pengaruh sistem menggunakan model <em>Human</em>, <em>Organization</em>, <em>and Technology-Fit</em> (HOT-Fit) dilakukan untuk menganalisis keberhasilan penerapan sistem, ketiga komponen penilaian tersebut mendapatkan <em>net benefit</em> berupa dampak sistem. Model HOT-Fit dalam penelitian ini memiliki delapan variabel, yaitu <em>System Development</em> (SD), <em>System Use</em> (SU), <em>User Satisfaction</em> (US), <em>Structure</em> (STR), <em>Environment</em> (LO), <em>System Quality</em> (SQ), <em>Information Quality</em> (IQ), dan <em>Service Quality</em> (SEQ). Jumlah sampel responden adalah 59, teknik analisis menggunakan PLS-SEM yang terdapat dua tahapan analisis. Pertama, <em>measurement model</em> digunakan untuk menguji reliabilitas dan validitas. Reliabilitas diambil dari nilai <em>loading factor</em> dan <em>composite reliability</em> yang memiliki nilai di atas 0,7, sedangkan validitas memiliki nilai di atas 0,5 dari AVE dan <em>cross-loading</em> indikator dimana nilai konstruk semua variabel lebih tinggi dari korelasi konstruk blok lain. Kedua, <em>structural model</em> diambil dari hasil uji <em>path </em><em>coefficient</em>, <em>coefficient of determination</em>, dan <em>t-test</em>. <em>Path coefficient</em><em> </em>terdapat empat jalur yang tidak signifikan (LO→SD, LO→SU, SD→SU, dan SQ→US) memiliki nilai dibawah 0,1. <em>Coefficient of determination</em> terdapat enam variabel dengan tingkat kuat dengan nilai sekitar 0,670 (LO, SD, SU, US, IQ, dan SQ) dan satu tingkat moderat dengan nilai sekitar 0,333 (STR). <em>T-test</em> terdapat dua belas hipotesis yang diterima dari sembilan belas hipotesis yang memiliki nilai lebih besar dari 1,96. Faktor-faktor yang paling kuat memengaruhi keberhasilan sistem adalah SU, US, STR, LO, dan SEQ.</p><p> </p><p class="Judul2"><strong><em>Abstract</em></strong></p><p class="Judul2"><em><em>Budgeting performance information system is used to monitor budget performance at the faculty of Sriwijaya University based on Budget Implementation Performance Indicator. An analysis using Human, Organization, and Technology-Fit (HOT-Fit) model is conducted to analize the system implementation, those components get a net benefit as impact. The studied model has eight variables, System Development (SD), System Use (SU), User Satisfaction (US), Structure (STR), Environment (LO), System Quality (SQ), Information Quality (IQ), and Service Quality (SEQ). With 59 respondents, two stage of PLS-SEM technique is used for analysis. Firstly, measurement models for reliability and validity. Reliability is set from loading factor and composite reliability which values above 0.7, </em><em>while the validity from AVE which values above 0.5 and cross-loading indicators where the block constructs from all variables higher than the correlation with others. Secondly, structural model, taken from the path coefficient, coefficient of determination, and t-test results, which have four insignificant pathways (LO→SD, LO→SU, SD→SU, SQ→US) which values below 0,1. The Coefficient of determination test has six variables with strong levels which values about 0,670 (LO, SD, SU, US, IQ, and SQ) and one moderate levels which values about 0,333 (STR). The T-test contained twelve accepted hypotheses from the nineteen hypotheses which values bigger than 1,96. The factors that strongly affect the success of the system are SU, US, STR, LO, and SEQ.</em></em></p><p class="Judul2"> </p>

scholarly journals School Climate, Student Engagement, and Academic Achievement: A Latent Variable, Multilevel Multi-Informant Examination

AERA Open ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 233285841881566 ◽  
Author(s):  
Tim Konold ◽  
Dewey Cornell ◽  
Yuane Jia ◽  
Marisa Malone
Keyword(s):  
Academic Achievement ◽  
School Climate ◽  
Student Engagement ◽  
Latent Variable ◽  
Structural Model ◽  
Climate Model ◽  
Student Support ◽  
Mandated Testing ◽  
High Structure ◽  
New Evidence

This study tested the authoritative school climate theory that schools characterized by high structure and student support have greater levels of student engagement and that these factors are associated with higher academic achievement, as indicated by school graduation rates and school performance on state-mandated testing. The model was tested through a multilevel multi-informant structural model on a statewide sample of 60,441 students and 11,442 teachers in 298 high schools. Consistent with the authoritative school climate model, both structure and student support were associated with higher student engagement in schools. Moreover, student engagement was directly associated with academic achievement and operated as an intervening factor. Results provide new evidence that an authoritative school climate is associated with high school academic achievement.

scholarly journals HUBUNGAN AKREDITASI DAN UJIAN NASIONAL PADA SEKOLAH NEGERI DENGAN GENERALIZED STRUCTURED COMPONENT ANALYSIS

2019 ◽  
Vol 3 (3) ◽  
pp. 260-271
Author(s):  
Rezi Wahyuni ◽  
Budi Susetyo ◽  
Anwar Fitrianto
Keyword(s):  
Public Schools ◽  
Education System ◽  
Latent Variables ◽  
Latent Variable ◽  
Goodness Of Fit ◽  
Educational Institution ◽  
Component Analysis ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Generalized Structured Component Analysis

There are several views and tendencies that distinguish between schools and madrasas in several aspects, one of them is the curriculum. Madrasah as islamic educational institution contains more religious lessons compared to public schools. As a result, madrasah are considered less able to provide good result in educational achievement. Overall, the education system which is based on National Education Standards (SNP) is used for assessing the educational accreditation. SNP is the minimum criterion of education system in Indonesia can be evaluated from the National Examination (UN). As latent variable, SNP is measured through 124 items as variable indicators. One of methods which is used to measure the relationship among latent variables, and latent variables with their indicator variables is structural equation modeling (SEM). A component-based SEM is called Generalized Structured Component Analysis (GSCA). GSCA analysis based on measurement model, there were 9 indicators were not significant, in which 1 indicator of standard of education and staff (SPT), 5 indicators on standard of infrastructure (SSP), and 3 indicators on standard of cost (SB). Evaluation of the structural model, it was found that the path coefficient of standard of content (SI) to UN was not significant and standard of competency (SKL) given the biggest direct effect to UN. The overall goodness of fit model showed that the total variance that can be explained of all indicators and latent variables in evaluating model of accreditation and national examinations was 63.9%. The difference in the percentage of accreditation status between schools and madrasas shows different UN results. In the 2017-2018 period, MTsN had a higher percentage of accredited schools, in line with that the average MTsN UN obtained was better than that of SMP in all types of subjects.

scholarly journals Assessment of PLS-SEM Path Model for Coefficient of Determination and Predictive Relevance of Consumer Trust on Organic Cosmetics

2016 ◽  
Vol 15 (4) ◽  
pp. 1-19
Author(s):  
Suhan . ◽  
Anantha Padmanabha Achar
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Quantitative Research ◽  
Direct Relationship ◽  
Threshold Value ◽  
Path Model ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
Threshold Values ◽  
Research Survey

In this paper the researchers investigated the coefficient of determination R-Square and predictive relevance (Q2) through Blindfolding. To fulfil the aim of the study, a structured quantitative research survey has been conducted with 640 sample size. The results emerged from the research survey shows that the R-Square hasmoderate strength for the endogenous latent variable trust and substantial strength or effect for the endogenous latent variables integrity, ability and benevolence. After calculating Q2for the endogenous latent variable ability, benevolence, integrity and trust it was found that the model has predictive relevance for these constructs. The path coefficient threshold values for measuring between indicators namely, cause purview and emotional benefits, cause consequential and trust, cause rubric and trust, cause span and emotional benefits, emotional benefits and trust, functional benefits and trust, ability and trust, benevolence and trust and also for integrity and trust are above the threshold value of 1.96 substantiate the hypothesis and exerts direct relationship between two variables. But the path coefficient threshold values between indicators namely, Cause purview and trust, cause consequential and trust, cause rubric and emotional benefits, cause span and trust, and also self-expressive and trust are below the threshold value of 1.96 does not substantiate the hypothesis and also does not exerts direct relationship between two variables. At the end of the paper, the author highlights the results, along with implications and limitations.

scholarly journals VARIABEL LATEN SEBAGAI MODERATOR DAN MEDIATOR DALAM HUBUNGAN KAUSAL

2013 ◽  
Vol 2 (4) ◽  
pp. 33
Author(s):  
I KOMANG GEDE ANTARA ◽  
I PUTU EKA NILA KENCANA ◽  
KETUT JAYANEGARA
Keyword(s):  
Causal Relationship ◽  
Latent Variables ◽  
Canonical Correlation ◽  
Latent Variable ◽  
Goodness Of Fit ◽  
Mediation Model

Latent variables are variables that can not be measured directly. In analysis of causal relationship involving three latent variables, one latent variable can be a moderator or mediator variables. Goodness of Fit moderation and mediation model of latent variables is affected by the value of the canonical correlation between moderator/mediator latent variables with the independent latent variables and dependent latent variables. If the value of both canonical correlation is well , so the Goodness of Fit models of mediation is getting better, while the opposite Goodness of Fit models will be better moderation.

Structural Model of Service Quality Factors Affecting Loyalty Sustainability

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Eman Al-erqi ◽  
◽  
Mohd Lizam Mohd Diah ◽  
Najmaddin Abo Mosali ◽  
◽  
...  
Keyword(s):  
International Students ◽  
Service Quality ◽  
Goodness Of Fit ◽  
Structural Model ◽  
Quality Factors ◽  
Factors Affecting ◽  
Measurement Models ◽  
Confirmatory Factor ◽  
The University ◽  
The Impact

This study seeks to address the impact of service quality affecting international student's satisfaction towards loyalty tothe Universiti Tun Hussein Onn Malaysia(UTHM). The aim of thestudy is to develop relationship between service quality factor and loyalty to the university from the international students’ perspectives. The study adopted quantitative approach where data was collected through questionnaire survey and analysed statistically. A total of 246 responses were received and found to be valid. The model was developed and analysed using AMOS-SEM software. Confirmatory factor analysis (CFA) function of the software was to assessed the measurement models and found that all the models achieved goodness of fit. Then path analysis function was used to assessed structural model and found that service qualityfactors have a significant effect on the students’ satisfaction and thus affecting the loyaltyto the university. Hopefully the outcome form this study will benefit the university in providing services especially to the international students.

scholarly journals An interpretable prediction method for university student academic crisis warning

2021 ◽  
Author(s):  
Zhai Mingyu ◽  
Wang Sutong ◽  
Wang Yanzhang ◽  
Wang Dujuan
Keyword(s):  
Academic Achievement ◽  
Visual Analysis ◽  
Prediction Method ◽  
Absolute Error ◽  
University Student ◽  
Machine Learning Algorithms ◽  
Coefficient Of Determination ◽  
Achievement Prediction ◽  
Academic Achievement Prediction ◽  
Education Administrators

AbstractData-driven techniques improve the quality of talent training comprehensively for university by discovering potential academic problems and proposing solutions. We propose an interpretable prediction method for university student academic crisis warning, which consists of K-prototype-based student portrait construction and Catboost–SHAP-based academic achievement prediction. The academic crisis warning experiment is carried out on desensitization multi-source student data of a university. The experimental results show that the proposed method has significant advantages over common machine learning algorithms. In terms of achievement prediction, mean square error (MSE) reaches 24.976, mean absolute error (MAE) reaches 3.551, coefficient of determination ($$R^{2}$$ R 2 ) reaches 80.3%. The student portrait and Catboost–SHAP method are used for visual analysis of the academic achievement factors, which provide intuitive decision support and guidance assistance for education administrators.

scholarly journals Evaluation of NASA POWER Reanalysis Products to Estimate Daily Weather Variables in a Hot Summer Mediterranean Climate

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1207
Author(s):  
Gonçalo C. Rodrigues ◽  
Ricardo P. Braga
Keyword(s):  
Wind Speed ◽  
Bias Correction ◽  
Goodness Of Fit ◽  
Mediterranean Climate ◽  
Weather Data ◽  
Coefficient Of Determination ◽  
Mean Bias Error ◽  
Bias Error ◽  
Weather Variables ◽  
Weather Stations

This study aims to evaluate NASA POWER reanalysis products for daily surface maximum (Tmax) and minimum (Tmin) temperatures, solar radiation (Rs), relative humidity (RH) and wind speed (Ws) when compared with observed data from 14 distributed weather stations across Alentejo Region, Southern Portugal, with a hot summer Mediterranean climate. Results showed that there is good agreement between NASA POWER reanalysis and observed data for all parameters, except for wind speed, with coefficient of determination (R2) higher than 0.82, with normalized root mean square error (NRMSE) varying, from 8 to 20%, and a normalized mean bias error (NMBE) ranging from –9 to 26%, for those variables. Based on these results, and in order to improve the accuracy of the NASA POWER dataset, two bias corrections were performed to all weather variables: one for the Alentejo Region as a whole; another, for each location individually. Results improved significantly, especially when a local bias correction is performed, with Tmax and Tmin presenting an improvement of the mean NRMSE of 6.6 °C (from 8.0 °C) and 16.1 °C (from 20.5 °C), respectively, while a mean NMBE decreased from 10.65 to 0.2%. Rs results also show a very high goodness of fit with a mean NRMSE of 11.2% and mean NMBE equal to 0.1%. Additionally, bias corrected RH data performed acceptably with an NRMSE lower than 12.1% and an NMBE below 2.1%. However, even when a bias correction is performed, Ws lacks the performance showed by the remaining weather variables, with an NRMSE never lower than 19.6%. Results show that NASA POWER can be useful for the generation of weather data sets where ground weather stations data is of missing or unavailable.

scholarly journals Correlation of Students’ Academic Achievements at a Professional Course of Ethics and Pediatrics Clinical Practice at Mizan-Tepi University, South Nations, Nationalities and People’s Region, Ethiopia

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110037
Author(s):  
Lalisa Chewaka Gamtessa
Keyword(s):  
Academic Achievement ◽  
Clinical Practice ◽  
Nursing Students ◽  
Professional Ethics ◽  
Nursing Practice ◽  
Coefficient Of Determination ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
Academic Achievements ◽  
Clinical Nursing

Nursing is a respect for dignity and treating every person equally. Qualifying competent and ethical nurses requires the incorporation of a professional code of ethics with clinical nursing practice. However, no study was conducted on the relationship between professional ethics and clinical nursing practice. Therefore this study aimed to determine correlation between professional ethics and pediatrics clinical practice from an achievement perspective. Accordingly, cross-sectional study design was conducted at Mizan-Tepi University using nursing students’ academic achievements at professional ethics and pediatric practice. Collected data were entered into Epi info 7. SPSS version 21.0 was used to calculate spearman’s rho correlation ( rs) and coefficient of determination ( R2) at P  < .05. A total of 316 study participants comprising of 209 (66.14%) male and 107 (33.86%) female nursing students included in the current study. Nursing students’ academic achievements at professional ethics was significantly and positively associated with achievements at pediatrics clinical practice ( rs  = 0.4-0.6), P < .001. Linear regression results revealed 25% to 26.7% coefficient determination for regular students and 18% to 22.9% for summer nursing students. To sum up, there was a significant positive association between achievements of students at professional ethics and pediatrics clinical practice. Therefore increasing students’ academic achievement in professional ethics can further improve their achievements at pediatrics clinical practice. However, academic achievement in professional ethics explained 22.35% of the variability in achievements at pediatric clinical practice. 77.65% of the variability in pediatrics clinical practice was due to other factors that deserve another study.

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