scholarly journals Estudio métrico sobre la actividad investigadora usando el software libre R: el caso del sistema universitario gallego

2018 ◽  
pp. 221
Author(s):  
Javier Tarrío-Saavedra ◽  
Elena Orois ◽  
Salvador Naya
Keyword(s):  
Statistical Analysis ◽  
Data Processing ◽  
Statistical Data ◽  
Parametric Modeling ◽  
Scientific Production ◽  
H Index ◽  
Santiago De Compostela ◽  
Statistical Data Processing ◽  
Scopus Database

Este trabajo representa una nueva alternativa para el estudio, clasificación y comparación de la producción científica de centros de investigación, utilizando las funciones de tratamiento de datos del paquete Citan del software estadístico R. En particular, se muestra el análisis bibliométrico de las publicaciones de las universidades de A Coruña, Santiago de Compostela y Vigo, en el periodo 2000-2011, recopiladas por la base de datos Scopus. Entre las técnicas usadas se aplicaron modelos de Lotka y Price, modelización no paramétrica y paramétrica de los datos, así como el cálculo y análisis de indicadores de la cantidad y calidad de la producción científica, los índices h y g, y otros menosconocidos como los rp1, lp, Ge1, Ge5 y Slp1. Como novedad, se propone una variante del índice h (hh) que define el grupo de investigadores que forman la élitemás productiva de cada universidad y estima su calidad investigadora.AbstractThis work represents a new alternative for the study, classification and comparison of the scientific production corresponding to research entities. It consists on the application of statistical data processing functions available in the R software’s Citan package. In particular, the bibliometric study of publications of universities of A Coruña, Santiago de Compostela and Vigo, in the period 2000-2011, compiled by the Scopus database. The study was conducted using the statistical  analysis of the data, the application of models of Lotka and Price, nonparametric and parametric modeling (Pareto) of the data, and the calculation and analysis of indicators of the scientific production like the h and g indexes, and others lesser known as rp1, lp, Ge1, Ge5 and Slp1. A novelty consists in a variant of the h index (hh) that defines the group of researchers who are the most productive of each university, the elite, and estimates the researching quality of such representative elites.

scholarly journals THE DEVELOPMENT OF SUPPORTING TOOL APPLICATION SOFTWARE FOR PROCESSING STATISTICAL DATA BASED ON VISUAL BASIC APPLICATION (VBA)

EDUTECH ◽  
2015 ◽  
Vol 14 (1) ◽  
pp. 125
Author(s):  
Rita Mariyana
Keyword(s):  
Early Childhood ◽  
Data Processing ◽  
Statistical Data ◽  
Early Childhood Teacher ◽  
Task Completion ◽  
Statistical Tool ◽  
Purposive Sampling ◽  
Statistical Data Processing ◽  
Quality Of Learning

Abstract. This study aims to develop to improve the quality of learning by making statistical data processing tools are easy to understand, easy to use by following the flow and statistical methods so that students can quickly perform data processing in both subjects for task completion and the completion of an essay, a thesis or a dissertation. To describe the results of a study to improve the quality of learning with this statistical tool research uses descriptive method, the purposive sampling technique to students taking statistics courses in early childhood teacher education study program Indonesia University of Education. Data from the study, questionnaires, interviews, observation and documentary studies analyzed by quantitative and qualitative techniques. The final product of this study is to improve the quality of products tools of statistical data processing and statistical are quickly understood and easily used not only for Early Childhood Education students but for students taking a statistics course.Keywords   : Tools, Learning Media, Process, Statistics Abstrak. Penelitian ini bertujuan melakukan pengembangan untuk meningkatkan mutu pembelajaran dengan membuat alat bantu olahdata Statistik yang mudah dipahami, mudah digunakan dengan mengikuti alur dan metode Statistik sehingga mahasiswa dapat dengan cepat dan mudah dalam melakukan pengolahan data baik itu untuk penyelesaian tugas mata kuliah maupun penyelesaian skripsi, tesis, ataupun disertasi. Untuk mendeskripsikan hasil penelitian dari peningkatan mutu pembelajaran dengan alat bantu Statistik ini penelitian menggunakan metode quasi eksperimen, dengan teknik purposive sampling pada mahasiswa yang mengikuti mata kuliah Statistik pada Program Studi Pendidikan Guru Pendidikan Anak Usia Dini Fakultas Ilmu Pendidikan Universitas Pendidikan Indonesia. Produk akhir penelitian peningkatan mutu pembelajaran ini adalah produk aplikasi alat bantu olahdata Statistik untuk mata kuliah statistik yang cepat dipahami dan mudah digunakan untuk semua mahasiswa yang mengambil mata kuliah Statistik serta untuk pengolahan data penelitian. Kata Kunci :  Alat Bantu, Olahdata, Statistik

ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

2020 ◽  
pp. 5-9
Author(s):  
A.Yu. Sentsov ◽  
◽  
I.V. Ryabov ◽  
A.A. Ankudinov ◽  
Yu.E. Radevich ◽  
...  
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
Data Processing Methods

Use of Mathematical Modeling in Building Ceramics Functional Properties Studies

2016 ◽  
Vol 870 ◽  
pp. 191-195
Author(s):  
N.A. Vil'bitskaya ◽  
S.A. Vilbitsky ◽  
A.G. Avakyan
Keyword(s):  
Mathematical Modeling ◽  
Data Processing ◽  
Ceramic Material ◽  
Functional Properties ◽  
Statistical Data ◽  
Ceramic Tiles ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
High Calcium ◽  
Data Processing Methods

The peculiarities of using mathematical and statistical data processing methods in studying the intensification in the process of sintering a ceramic material with a high content of high-calcium waste, and mineralizing sintering lithium-containing waste were studied. The region of optimal ceramic masses composition, which allows obtaining ceramic tiles with high functional properties, was defined.

scholarly journals Psycholinguistic Issues of Translation, Adaptation and Validation of «The Big Three Perfectionism Scale»

2020 ◽  
Vol 15 ◽  
pp. 59-62
Author(s):  
Tamara Grubi
Keyword(s):  
Factor Analysis ◽  
Data Processing ◽  
Statistical Data ◽  
Reliability And Validity ◽  
Statistical Data Processing ◽  
Pace Of Life ◽  
Rapid Pace

Increased interest in the study of perfectionism of a person is becoming more and more relevant, it can be explained by the rapid pace of life, increasing competition, the cult of perfectionism and individual accomplishments. To diagnose perfectionism they use questionnaires, however, the vast majority of them have two scales. In the «Great Triennial Scale of Perfectionism», perfectionism is viewed as a richly varied construct that combines three types – «hard», «self-critical» and «narcissistic». In turn, each of these types is composed of several scales, which are included in the inventory in order to increase reliability and accuracy in the assessment. The results of the process of translation, adaptation and standardization of the quantifier are presented. Data on primary statistical data processing, reliability, validity of the technique, correlation and factor analysis of its indicators according to psychometric requirements are given. The reliability and validity of the instrument and the possibility to use it for investigative and psychodiagnostic purposes has been proved.

scholarly journals Algorithm of complex anthroposcopic, anthropometric and dermatoglyphic research in forensic identification of an unknown person

2021 ◽  
pp. 36-49
Author(s):  
Halyna Zelenchuk ◽  
Natalia Kozan ◽  
Valeriya Chadiuk
Keyword(s):  
Neural Network ◽  
Data Processing ◽  
Forensic Science ◽  
Research Methods ◽  
Statistical Data ◽  
Forensic Identification ◽  
Statistical Data Processing

The article presents materials and research methods that are used both to identify an unknown person and to predict a person's susceptibility to illegal actions of varying severity. In particular, this article describes anthroposcopic, anthropometric, dermatoglyphic methods, statistical data processing and neural network forecasting, which are widely used in modern forensics and forensic science. The relevance and objectives of the above research methods are formulated in order to predict a person's propensity to illegal actions of varying severity.

scholarly journals Peningkatan Kompetensi Dalam Menunjang Kinerja Karyawan Pada PT Batang Bumi Mandiri

2021 ◽  
Vol 12 (3) ◽  
pp. 397-404
Author(s):  
Dekky SI Efendi ◽  
Sonny Hersonna ◽  
DJ Suyaman
Keyword(s):  
Data Processing ◽  
Sampling Method ◽  
Statistical Data ◽  
Research Data ◽  
Coefficient Of Determination ◽  
High Quality ◽  
Statistical Data Processing ◽  
Sample Technique ◽  
Saturated Sample

Competence in an organization or company is important in supporting the performance produced by employees. The management of course will make efforts to increase the competence of its employees with the hope that the performance of the employees will make their work complete and the output produced is of high quality. Recognizing the importance of competence on performance, the authors helped by examining these variables. In this study the researchers collected data by distributing it to all employees at PT Batang Bumi Mandiri with a total of 25, of which the entire population will also be sampled because the sampling method used is the saturated sample technique. In processing this data used statistical data processing tools in the form of SPSS version 26 to assist the author in processing research data. The result of the research is that competence has an effect on performance. The competency variable also has a coefficient of determination of 16.5% to affect performance, while the remaining 83.5% is influenced by other variables not examined in this study.

Introduction to Statistical Data Processing.

1969 ◽  
Vol 64 (328) ◽  
pp. 1679
Author(s):  
J. Wanzer Drane ◽  
Joan S. Reisch ◽  
Theodor D. Sterling ◽  
Seymour V. Pollack
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Statistical Data Processing
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