scholarly journals Multilevel modeling and panel data analysis in educational research (Case study: National examination data senior high school in West Java)

2017 ◽  
Author(s):  
Pepi Zulvia ◽  
Anang Kurnia ◽  
Agus M. Soleh
Keyword(s):  
High School ◽  
Data Analysis ◽  
Panel Data ◽  
Multilevel Modeling ◽  
Educational Research ◽  
Panel Data Analysis ◽  
Senior High School ◽  
West Java ◽  
National Examination

scholarly journals Multivariable Panel Data Cluster Analysis using Ward Method Gross Enrollment Ratio (GER) Data in West Java in the Year 2015-2018

2020 ◽  
Vol 3 ◽  
pp. 291-296
Author(s):  
Reka Ramadhan ◽  
Asep Solih Awalluddin ◽  
Rini Cahyandari
Keyword(s):  
High School ◽  
Cluster Analysis ◽  
High Schools ◽  
Panel Data ◽  
Senior High School ◽  
West Java ◽  
Enrollment Rate ◽  
Minimum Number ◽  
Measure Of Similarity ◽  
Ward Method

The aim of this study is to determine cluster analysis for panel data with multivariable data structures. Choosing a Ward method Choosing a method in a cluster analysis hierarchical technique. Ward method is a method based on Sum Square Error (SSE) with a measure of homogeneity between two objects based on the minimum number of error squares. The measure of similarity used is the Euclidean distance squared. The Ward method is used to add variation between objects in one cluster and maximize variation with objects in another cluster. The steps of the analysis are described in the discussion of this study. The method of implementation uses education gross enrollment rate (GER) data in West Java Province in 2015-2018. The results of the study indicate that the grouping of education GER data in West Java in 2015-2018 using the Ward method produces four clusters. The first cluster consists of five regions, GER for Elementary school, junior and senior high school in the cluster are below the average APK in West Java. The second cluster consists of two regions, in contrast to the first cluster GER for elementary schools in this cluster according to the average GER in West Java but for junior and senior high school GER below the average GER in West Java. The third cluster consists of seven regions, the GER for elementary, junior and senior high schools in this cluster is above the average GER in West Java while the fourth cluster consists of five regions, the GER for elementary and junior high schools in this area is above the average GER in West Java.

Potential impacts on local quality of life due to sugarcane expansion: a case study based on panel data analysis

2016 ◽  
Vol 19 (5) ◽  
pp. 2069-2092 ◽  
Author(s):  
Pedro Gerber Machado ◽  
Arnaldo Walter ◽  
Michelle Cristina Picoli ◽  
Cristina Gerber João
Keyword(s):  
Quality Of Life ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Local Quality

scholarly journals Peran Belajar Matematika Terhadap Konsistensi Diri Siswa (Survei Terhadap Siswa-siswi Sekolah Menengah Atas di Kabupaten Karawang Tahun 2010/2011)

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Leonard Leonard ◽  
Sitta Khomsatun Supriyati
Keyword(s):  
High School ◽  
Data Analysis ◽  
Hypothesis Testing ◽  
Research Method ◽  
Senior High School ◽  
The Self ◽  
Survey Method ◽  
West Java ◽  
Multi Stage ◽  
Self Consistency

<p>The aim of this research is to know the influence of learning result (achievement) toward the self-consistency of the students in senior high school in Karawang. The research method wich was used in the research is survey method. The population of research are all sudents in senior high school in Karawang, West Java. Samples are taken by multi stage sampling, consisted of 120 students. The research instruments are self-consistency. Data analysis employed regretion correlation. The hypothesis testing resulted conclution: there positive correlation of studied mathematics <br />achievement toward the self-consistency. <br /> <br /><br /></p>

Panel Data

2021 ◽  
pp. 637-657
Author(s):  
Vera Costa ◽  
Rui Portocarrero Sarmento
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Spatial Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Time Data ◽  
Theoretical Concepts ◽  
R Language ◽  
Over Time

Panel data is a regression analysis type that uses time data and spatial data. Thus, the behavior of groups, for example, enterprises or communities, is analyzed through a time scale. Panel data allows exploring variables that cannot be observed or measured or variables that evolve over time but not across groups or communities. In this chapter, two different techniques used in panel data analysis is explored: fixed effects (FE) and random effects (RE). First, theoretical concepts of panel data are presented. Additionally, a case study example of the use of this type of regression is provided. Panel data analysis is performed with R language, and a step-by-step approach is presented.

An Analysis of Students' Difficulties in Writing Recount Text (A Case Study at a Senior High School in Indramayu)

2019 ◽  
Vol 2 (1) ◽  
pp. 46-59
Author(s):  
Ida Yulianawati
Keyword(s):  
High School ◽  
Qualitative Research ◽  
Research Design ◽  
Writing Skills ◽  
Senior High School ◽  
Linguistic Features ◽  
West Java ◽  
Qualitative Research Design ◽  
Explicit Teaching

This study investigates students’ causes of students’ difficulties, kinds of students’ difficulties, and the most dominant problem in writing recount text written by ten students at a Senior High School in Indramayu, West Java. This study employed a qualitative research design, embracing characteristics of a case study. The data were obtained from collection of samples of students’ recount texts. The findings revealed that most students have been able to implement the schematic structures and linguistic features of argumen texts, which indicates the ability of students to write the texts and to achieve its purpose. However, some students found difficulties in terms of the use of tenses, the use of vocabulary, and the use of specific participants. Based on the analysis of students’ writing, it was found some causes that made students did some mistakes in writing recount texts. Based on these findings, it is recommended that explicit teaching be needed to develop students’ writing skills.

scholarly journals A measurement model for real estate bubble size based on the panel data analysis: An empirical case study

PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0173287 ◽  
Author(s):  
Fengyun Liu ◽  
Deqiang Liu ◽  
Reza Malekian ◽  
Zhixiong Li ◽  
Deqing Wang
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Real Estate ◽  
Bubble Size ◽  
Panel Data Analysis ◽  
Measurement Model ◽  
Real Estate Bubble

scholarly journals Remittances inflow and private investment: a case study of South Asian economies via panel data analysis

2019 ◽  
Vol 32 (1) ◽  
pp. 2723-2742 ◽  
Author(s):  
Zeeshan Khan ◽  
Fazli Rabbi ◽  
Manzoor Ahmad ◽  
Yang Siqun
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
South Asian ◽  
Panel Data Analysis ◽  
Private Investment ◽  
Asian Economies
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