scholarly journals Contribución del Análisis Estadístico Textual a la labor del tutor académico y el orientador educativo

2010 ◽  
pp. 110-130
Author(s):  
Mtra. Ma. De los Ágneles Silva Mar ◽  
Dra. María Luisa Hernández Maldonado ◽  
Lic. Areli Sosa Mora
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
School Performance ◽  
Correspondence Analysis ◽  
Structural Features ◽  
Community Study ◽  
Multidimensional Data ◽  
Student Community ◽  
Open Questions ◽  
Self Knowledge

Este trabajo es parte del resultado del análisis textual realizado a las respuestas libres contenidas en la encuesta sobre “Búsqueda de la personalidad de los estudiantes” que la Universidad Veracruzana aplicó a parte de su comunidad estudiantil. Entre los objetivos que se plantean se encuentra el estudio sobre el autoconocimiento que los estudiantes manifiestan tener. Este trabajo contribuye a la labor del Tutor Académico y al quehacer del Orientador Educativo que, entre otras, tienen como finalidad el reforzar y apoyar a los estudiantes en sus requerimientos para mejorar su rendimiento escolar. Para el tratamiento de este instrumento, cuyas variables son de naturaleza textual, se ha realizado un análisis estadístico de textos. Este análisis ha integrado distintas técnicas y métodos (combina el análisis multidimensional de datos y la lexicometría) que facilitan la tarea en el análisis de encuestas que contienen preguntas de respuesta libre. En una primea etapa, se aplican procedimientos que permiten obtener el número de ocurrencias de las unidades verbales básicas (generalmente palabras); posteriormente, a partir de esos recuentos es posible realizar un análisis factorial de correspondencias que muestre los rasgos estructurales que los individuos manifiestan a través de sus respuestas.AbstractThis work is part of the result of textual analysis made to the free responses contained in the survey on "Finding the personality of students" that the Universidad Veracruzana applied to part of their student community. Study about self-knowledge, that students say they have, is one of the objectives studied. This work contributes to the work of Tutor Academic and Educational counsellor’s task that, among others, are aimed at strengthening and supporting students in their requirements to improve school performance. Treatment of this tool -whose variables are textual nature-, consists in a statistical analysis of texts. This analysis has integrated various techniques and methods (combining multidimensional data analysis and lexicometry) facilitating the analysis of survey with open questions. The first step is to apply procedures that obtain the number of occurrences of basic verbal units (usually words); then, from these counts, it is possible to perform a correspondence analysis that shows the structural features that individuals manifest through their responses.Recibido: 11 de enero de 2010 Aceptado: 30 de marzo de 2010

PENENTUAN KRITERIA PENILAIAN KESAN JUMLAH LEUKOSIT PADA PEMERIKSAAN APUSAN DARAH TEPI

2018 ◽  
Vol 3 (2) ◽  
pp. 52-61
Author(s):  
Dzikra Arwie ◽  
Islawati
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Field Of View ◽  
Laboratory Observation ◽  
Number Of Cells

Leukocytes or white blood cells have a characteristic characteristic of different cells. Determination of the impression of the number of leukocytes is determined in the number of cells in the field of view. While the number of viewable field cells expressed is still quite varied. The purpose of this study was to determine the number of leukocytes in the field of view and expressed the impression of a sufficient amount. This research was conducted at the Laboratory of Health Analyst Department Panrita Husada Bulukumba on 9 April 2017 to 14 July 2017. This type of research is a laboratory observation that aims to determine the criteria for assessing the impression of the number of leukocytes on a peripheral blood smear. Data analysis using statistical analysis is the average and standard deviations to determine the impression of the number of leukocytes and use 3 inspection zones. The results of this study obtained results in zone IV the number of leukocyte impressions said to be sufficient was 7-10, in zone V the number of leukocyte impressions said to be sufficient was 4-9, and in zone VI the number of leukocyte impressions said to be sufficient was 3-8.  

scholarly journals Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0

Buildings ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Thomas Danel ◽  
Zoubeir Lafhaj ◽  
Anand Puppala ◽  
Sophie Lienard ◽  
Philippe Richard
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Data Collection ◽  
Structural Phase ◽  
Sampling Technique ◽  
Construction Site ◽  
Data Logger ◽  
Tower Crane ◽  
Productivity Indicators

This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity.

Computational Strategies for Analyzing Data in Gene Expression Microarray Experiments

2003 ◽  
Vol 01 (03) ◽  
pp. 541-586 ◽  
Author(s):  
Tero Aittokallio ◽  
Markus Kurki ◽  
Olli Nevalainen ◽  
Tuomas Nikula ◽  
Anne West ◽  
...  
Keyword(s):  
Gene Expression ◽  
Data Analysis ◽  
Microarray Data ◽  
Microarray Data Analysis ◽  
Biological Research ◽  
Microarray Experiments ◽  
Dna Microarray Data ◽  
Open Questions ◽  
Analysis Technique ◽  
Wide Range

Microarray analysis has become a widely used method for generating gene expression data on a genomic scale. Microarrays have been enthusiastically applied in many fields of biological research, even though several open questions remain about the analysis of such data. A wide range of approaches are available for computational analysis, but no general consensus exists as to standard for microarray data analysis protocol. Consequently, the choice of data analysis technique is a crucial element depending both on the data and on the goals of the experiment. Therefore, basic understanding of bioinformatics is required for optimal experimental design and meaningful interpretation of the results. This review summarizes some of the common themes in DNA microarray data analysis, including data normalization and detection of differential expression. Algorithms are demonstrated by analyzing cDNA microarray data from an experiment monitoring gene expression in T helper cells. Several computational biology strategies, along with their relative merits, are overviewed and potential areas for additional research discussed. The goal of the review is to provide a computational framework for applying and evaluating such bioinformatics strategies. Solid knowledge of microarray informatics contributes to the implementation of more efficient computational protocols for the given data obtained through microarray experiments.

scholarly journals The Ecuadorian Amazon: A Data Analysis of Social and Educational Characteristics of the Population

2017 ◽  
Vol 9 (1) ◽  
pp. 120 ◽  
Author(s):  
Gina Valdivieso ◽  
Efstathios Stefos ◽  
Ruth Lalama
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Marital Status ◽  
National Survey ◽  
Factorial Analysis ◽  
Place Of Birth ◽  
The Social ◽  
Ecuadorian Amazon ◽  
Level Of Instruction ◽  
Descriptive Statistical Analysis

The present study describes the social and educational characteristics of the Ecuadorian Amazon population. For this purpose, the data obtained from the National Survey of Employment, Unemployment and Underemployment of 2014 was used in this research. A descriptive statistical analysis presents the frequency, the percentages and the graphs of the variables related to the area in which people live, gender, age, ethnic self-identification, language spoken, marital status and level of instruction. Other variables are the use of computer and internet, place of birth, reason why they live in the Amazon region, type of activity or inactivity, how do they feel in their jobs, and groups of occupation. Also, a factorial analysis was used to show the main and most important criteria of differentiation and the the clusters of people with similar characteristics.

NCSS Statistical Analysis and Data Analysis Software

2003 ◽  
Vol 136 (5) ◽  
pp. 972-973
Author(s):  
Raymond Kraker ◽  
Craig Kollman
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Analysis Software ◽  
Data Analysis Software

scholarly journals Singular Structural Features on Humic Fractions in Solution: Statistical Analysis of Diverse Analytical Techniques Spectra

2010 ◽  
Vol 74 (1) ◽  
pp. 74-86 ◽  
Author(s):  
Roberto Baigorri ◽  
Marta Fuentes ◽  
Francisco J. González-Vila ◽  
José M. García-Mina
Keyword(s):  
Statistical Analysis ◽  
Analytical Techniques ◽  
Structural Features ◽  
Humic Fractions

scholarly journals Exploratory data analysis of a clinical study group: Development of a procedure for exploring multidimensional data

PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0201950 ◽  
Author(s):  
Bogumil M. Konopka ◽  
Felicja Lwow ◽  
Magdalena Owczarz ◽  
Łukasz Łaczmański
Keyword(s):  
Data Analysis ◽  
Clinical Study ◽  
Exploratory Data Analysis ◽  
Group Development ◽  
Multidimensional Data ◽  
Study Group ◽  
Exploratory Data ◽  
Clinical Study Group

scholarly journals Peningkatan Kapabilitas Karyawan dan Penerapan Budaya Baru Perusahaan dalam Mewujudkan Daya Saing

2019 ◽  
Vol 5 (2) ◽  
pp. 239
Author(s):  
Iwan Sudirlan ◽  
M Syamsul Maarif ◽  
Joko Affandi ◽  
Yandra Arkeman
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Corporate Culture ◽  
Environmental Changes ◽  
Middle Management ◽  
Survey Method ◽  
Analysis Methodology ◽  
Mission Change ◽  
World Environment ◽  
Descriptive Statistical Analysis

The rapidly changing world environment requires companies to adjust to existing conditions. Environmental changes that occur include technology, information systems, economic and political causes of the emergence of new regulations and derivatives so that industry and industry players in the implementation can run well. One telecommunication company in Indonesia in maintaining revenue and profit growth improves employee capability and application of new corporate culture in realizing competitiveness. A vision and mission change with complete comprehensive transformation with a strategy embodied in employee-driven programs based on company values. The company in transformation years periode from 2011 until 2016 hold engagement survey with main result the majority of opinions like the changes that occur. Researcher use survey method questionnaires to gather information after reborn launched from Indosat Ooredoo employees as respondents that distributed to a level of staff, managers, division heads and group heads. Descriptive statistical analysis methodology is used to analyze information that has been collected. The results data analysis of the questionnaire showed that 7 (seven) variables assessing the improvement of employee capabilities and the application of the company's new culture in realizing competitiveness showed that the seven variables affected the level of security and comfort of employees and middle management.

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