Education Research Quantitative Analysis for Little Respondents

Many researchers are confused about which software to use because there is no research on software comparisons for quantitative research data analysis. The purpose of this study is to compare the results of quantitative research data processing in the field of education management using Lisrel, Tet...

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Autores principales:	Agus Purwanto, Masduki Asbari, Teguh Iman Santoso, Denok Sunarsi, Dodi Ilham
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Cokroaminoto Palopo 2021
Materias:	education management data analysis Lisrel GSCA Tetrad Amos SmartPLS Education L Theory and practice of education LB5-3640
Acceso en línea:	https://doaj.org/article/552f1c8c848b4f37b17a69fc473d8036
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id	oai:doaj.org-article:552f1c8c848b4f37b17a69fc473d8036
record_format	dspace
spelling	oai:doaj.org-article:552f1c8c848b4f37b17a69fc473d80362021-12-02T06:33:59ZEducation Research Quantitative Analysis for Little Respondents10.30605/jsgp.4.2.2021.13262654-6477https://doaj.org/article/552f1c8c848b4f37b17a69fc473d80362021-07-01T00:00:00Zhttps://e-journal.my.id/jsgp/article/view/1326https://doaj.org/toc/2654-6477 Many researchers are confused about which software to use because there is no research on software comparisons for quantitative research data analysis. The purpose of this study is to compare the results of quantitative research data processing in the field of education management using Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS software for small samples or respondents. This research method is quantitative and research data analysis uses the four types of software to obtain a comparison of the results of the analysis. The analysis in this study focuses on the analysis of hypothesis testing and regression analysis. Regression analysis is used to measure how much influence the independent variable has on the dependent variable. The field of this research is education management and the research data uses quantitative data derived from questionnaire data for a small sample of 40 respondents with three research variables, namely the independent variable of transformational leadership and job satisfaction, while the dependent variable is teacher performance. Based on the results of the analysis using Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS software, the results showed that for a small sample there was no significant difference in the significance value of p-value and t-value. There is also no significant difference in the determination value, and the correlation value in the resulting structural equation also has no significant difference in results, while for CB-SEM represented by Lisrel, Tetrad cannot process data with a Little respondents size. The novelty of this research is the result of comparative analysis of Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS Agus PurwantoMasduki AsbariTeguh Iman SantosoDenok SunarsiDodi IlhamUniversitas Cokroaminoto Palopoarticleeducation managementdata analysisLisrelGSCATetrad AmosSmartPLSEducationLTheory and practice of educationLB5-3640ENIDJurnal Studi Guru dan Pembelajaran, Vol 4, Iss 2 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	education management data analysis Lisrel GSCA Tetrad Amos SmartPLS Education L Theory and practice of education LB5-3640
spellingShingle	education management data analysis Lisrel GSCA Tetrad Amos SmartPLS Education L Theory and practice of education LB5-3640 Agus Purwanto Masduki Asbari Teguh Iman Santoso Denok Sunarsi Dodi Ilham Education Research Quantitative Analysis for Little Respondents
description	Many researchers are confused about which software to use because there is no research on software comparisons for quantitative research data analysis. The purpose of this study is to compare the results of quantitative research data processing in the field of education management using Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS software for small samples or respondents. This research method is quantitative and research data analysis uses the four types of software to obtain a comparison of the results of the analysis. The analysis in this study focuses on the analysis of hypothesis testing and regression analysis. Regression analysis is used to measure how much influence the independent variable has on the dependent variable. The field of this research is education management and the research data uses quantitative data derived from questionnaire data for a small sample of 40 respondents with three research variables, namely the independent variable of transformational leadership and job satisfaction, while the dependent variable is teacher performance. Based on the results of the analysis using Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS software, the results showed that for a small sample there was no significant difference in the significance value of p-value and t-value. There is also no significant difference in the determination value, and the correlation value in the resulting structural equation also has no significant difference in results, while for CB-SEM represented by Lisrel, Tetrad cannot process data with a Little respondents size. The novelty of this research is the result of comparative analysis of Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS
format	article
author	Agus Purwanto Masduki Asbari Teguh Iman Santoso Denok Sunarsi Dodi Ilham
author_facet	Agus Purwanto Masduki Asbari Teguh Iman Santoso Denok Sunarsi Dodi Ilham
author_sort	Agus Purwanto
title	Education Research Quantitative Analysis for Little Respondents
title_short	Education Research Quantitative Analysis for Little Respondents
title_full	Education Research Quantitative Analysis for Little Respondents
title_fullStr	Education Research Quantitative Analysis for Little Respondents
title_full_unstemmed	Education Research Quantitative Analysis for Little Respondents
title_sort	education research quantitative analysis for little respondents
publisher	Universitas Cokroaminoto Palopo
publishDate	2021
url	https://doaj.org/article/552f1c8c848b4f37b17a69fc473d8036
work_keys_str_mv	AT aguspurwanto educationresearchquantitativeanalysisforlittlerespondents AT masdukiasbari educationresearchquantitativeanalysisforlittlerespondents AT teguhimansantoso educationresearchquantitativeanalysisforlittlerespondents AT denoksunarsi educationresearchquantitativeanalysisforlittlerespondents AT dodiilham educationresearchquantitativeanalysisforlittlerespondents
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Education Research Quantitative Analysis for Little Respondents

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