Ordered Data Analysis, Modeling and Health Research Methods

2015 ◽  
Keyword(s):  
Data Analysis ◽  
Research Methods ◽  
Health Research ◽  
Ordered Data

Implementasi Penilaian Autentik pada Pembelajaran Tematik di Sekolah Dasar

2021 ◽  
Vol 7 (2) ◽  
pp. 121-127
Author(s):  
Riska Febriani
Keyword(s):  
Data Analysis ◽  
Research Methods ◽  
Quantitative Research ◽  
Educational Institution ◽  
Authentic Assessment ◽  
Fifth Grade ◽  
Class V ◽  
Quantitative Research Methods ◽  
Thematic Learning

As an educational institution that implements the 2013 curriculum, the school will directly apply the appropriate assessment, namely the Authentic assessment. The purpose of this study was to determine the implementation of Authentic Assessment on thematic subjects at the fifth grade of SDN 003 Sungai Salak, Tempuling District, this study used descriptive quantitative research methods.  The result of the data analysis concluded that the implementation of authentic assessment in thematic learning in Class V SDN 003 Sungai Salak, Tempuling District was categorically as good.

scholarly journals Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers

2019 ◽  
Vol 3 (1) ◽  
pp. 65-72
Author(s):  
Yulianto Yulianto ◽  
Namira Robihaningrum ◽  
Bella Dhea Elinda
Keyword(s):  
Multivariate Analysis ◽  
Data Analysis ◽  
Research Methods ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Scientific Research ◽  
Independent Variables ◽  
Several Variables ◽  
Dependent Variables ◽  
Scientific Papers

The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time

scholarly journals Implementasi gerakan kepanduan hizbul wathan untuk meningkatkan karakter kepemimpinan siswa di mi muhammadiyah 3 penatarsewu

2020 ◽  
Vol 3 (9) ◽  
pp. 117-123
Author(s):  
Achmad Ziddanial Muqodash Badrie ◽  
Eni Fariyatul Fahyuni
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Research Methods ◽  
Data Reduction ◽  
Student Leadership ◽  
Data Presentation ◽  
Teacher Students ◽  
Descriptive Approach ◽  
Class Teacher

This study aimed to see how the implementation of the Hizbul Wathan scouting movement to improve the character of student leadership in MI Muhammadiyah 3 Penatarsewu. This type of research is to use qualitative research methods with a descriptive approach. The subjects in this study were the principal, the coach of Hizbul Wathan, the class teacher, students. Data collection is done by interviews, observations, and documentation. While in data analysis, using techniques in a way, namely data reduction, data presentation and drawing conclusions. The scouting movement of Hizbul Wathan's development in MI Muhammadiyah 3 Penatarsewu since its inception tends to be stagnant and not optimal. The obstacles that exist make the implementation of the scout movement hizbul wathan less than the maximum to improve the character of student leadership in MI Muhammadiyah 3 Penatarsewu.

Qualitative Research: Data Collection & Data Analysis Techniques

2008 ◽  
Author(s):  
M. Puvenesvary ◽  
Radziah Abdul Rahim ◽  
R. Sivabala Naidu ◽  
Mastura Badzis ◽  
Noor Fadhilah Mat Nayan ◽  
...  
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Research Methods ◽  
Research Data ◽  
Qualitative Research Methods ◽  
Tertiary Institutions ◽  
Analysis Techniques ◽  
Diary Studies ◽  
Collection Data

Qualitative Research: Data Collection & Data Analysis Techniques is especially written for anyone who is interested in doing or learning more about qualitative research methods. The reader-friendly organisation and writing style of the book makes it accessible to everyone-academics,professionals, undergraduates, postgraduates, researchers, and even for those who are just beginning to explore the field of qualitative research. Each chapter provides a clear, contextualized and comprehensive coverage of the main qualitative research methods (interviews, focus groups, observations, diary studies, archival document, and content analysis) and will thus equip readers with a thorough understanding of the steps and skills to undertake qualitative research effectively. Bringing together qualitative research scholars from three different tertiary institutions in the country Associate Prof Dr. Puvensvary Muthiah, Dr. Radziah Abdul Rahim, Puan Noor Hashima Abd Aziz, and Noor Fadhilah Mat Nayan, from Universiti Utara Malaysia (UUM), Assoc. Prof. Dr. Mastura Badzis from Universiti Pendidikan Sultan Idris (UPSI) and R. Sivabala Naidu from Darulaman Teacher Training Institute, this book addresses some of the most important questions facing students and researchers in qualitative research

Expanding Organizational Research Methods

2018 ◽  
pp. 168-183
Author(s):  
Sarah Jane Blithe ◽  
Anna Wiederhold Wolfe
Keyword(s):  
Data Analysis ◽  
Research Methods ◽  
Sex Workers ◽  
Qualitative Data ◽  
Interview Data ◽  
Organizational Research ◽  
Partial Data ◽  
Interview Performance ◽  
Temporal Shifts

Collecting qualitative data in organizations is a complex and messy process which produces subjective, performed, and partial data. In this chapter, the authors argue that analyzing “ruptures” in organizational interview data—paying attention to absences, exits, unspoken feelings, and temporal shifts--can enrich the researcher's understanding by making visible multiple aspects of the data which might otherwise have been overlooked. Examining ruptures draws attention to jarring disjunctures and previously unseen angles often missed through traditional data analysis. Drawing from interview data with brothel owners and sex workers in Nevada's legal brothels, the authors present two main contributions to qualitative organizational research: (1) the benefits of analyzing ruptures in organizational interview performances and transcripts and (2) a challenge to organizational researchers to take seriously their emotions during the interview performance.

scholarly journals ‘Sleeping on the job’: where qualitative fieldwork meets the sociology of sleep

2020 ◽  
pp. 146879412091705
Author(s):  
Sophie Gilliat-Ray
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Research Methods ◽  
Qualitative Research Methods ◽  
Social Anthropology ◽  
Ethnographic Fieldwork

This article examines the question of sleeping (or not) during the course of ethnographic fieldwork. It is argued that the concept of what is termed here ‘sleepwork’ has yet to be fully addressed or adequately problematised in the fields of sociology and social anthropology, in particular. The first part of the article highlights the relative silence about sleeping and fieldwork in the literature on qualitative research methods, and reflects upon why this subject is largely absent from the ethnographic corpus. I then make a number of propositions about some potential methodological strategies for incorporating ‘sleepwork’ into fieldwork. The second part of the article suggests that data analysis should not be seen as an activity that only occurs in states of wakefulness, but rather as a 24/7 activity that is undertaken with varying intensity.

Understanding Evidence-Based Research Methods: Graphical Data Analysis

2010 ◽  
Vol 3 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Jason M. Etchegaray ◽  
Wayne G. Fischer
Keyword(s):  
Data Analysis ◽  
Research Methods ◽  
Evidence Based ◽  
Graphical Data
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