scholarly journals UNCOVERING DEEPER MEANING: APPLYING MULTIPLE METHODS OF DATA ANALYSIS IN NARRATIVE INQUIRY WITH OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S774-S774
Author(s):  
Rebecca Meraz ◽  
Kathryn Osteen ◽  
Jocelyn S McGee
Keyword(s):  
Data Analysis ◽  
Narrative Inquiry ◽  
Study Data ◽  
Systematic Evaluation ◽  
Multiple Methods ◽  
Analysis Process ◽  
Holistic Understanding ◽  
Single Well ◽  
And Performance ◽  
Method Of Evaluation

Abstract Personal narrative is at the heart of how humans share information, represent identity, and convey ideas. Using narrative inquiry, researchers may gain some insight into an individual’s personal understanding of the events in their life. Although many narrative investigations report themes from study data, there is no single, well defined approach to data analysis in narrative research. We describe how applying multiple methods of systematic evaluation to narrative data leads to a deeper and more holistic understanding of told stories about medication-taking decisions among older heart failure (HF) patients. In this paper, we share a more holistic interpretation of the decision making process by applying Riessman’s thematic, structural, and performance analysis provided a method for analyzing the data beyond the spoken words. Data was transcribed verbatim then arranged according to the essential discourse between the participant and researcher, the intact story, and the story elements needed to facilitate each method of evaluation. The data analysis process outlined in this article contributes to the academic discourse and knowledge supporting the use of multiple methods of systematic evaluation to uncover deeper meaning in narrative data. In clinical practice, care should be guided by a deeper and holistic understanding of the decisions patients make about whether to take or not take a HF medication.

scholarly journals Applying Multiple Methods of Systematic Evaluation in Narrative Analysis for Greater Validity and Deeper Meaning

2019 ◽  
Vol 18 ◽  
pp. 160940691989247
Author(s):  
Rebecca Lynn Meraz ◽  
Kathryn Osteen ◽  
Jocelyn McGee
Keyword(s):  
Data Analysis ◽  
Narrative Analysis ◽  
Narrative Research ◽  
Study Data ◽  
Systematic Evaluation ◽  
Human Beings ◽  
Multiple Methods ◽  
Single Well ◽  
And Performance ◽  
Insight Into

Personal narrative is at the heart of how human beings share information, represent identity, and convey ideas. Narrative research is a form of qualitative analysis that assists researchers in gaining insight into the lived experiences of the persons they are studying within their unique life circumstances and contexts. Although many narrative investigations report themes from study data, there is no single, well-defined approach to data analysis in narrative research. In this article, we provide a method for analyzing the data beyond the spoken words by applying Riessman’s thematic, structural, and performance analysis. We describe how applying multiple methods of systematic evaluation to narrative data leads to a deeper and more valid insight into the told stories. The data analysis process outlined in this article contributes to the academic discourse and knowledge supporting the use of multiple methods of systematic evaluation to uncover deeper meaning and thus leading to greater validity of the findings from narrative data.

scholarly journals INFLUENCE OF ORGANIZATIONAL LEADERSHIP AND COMMITMENT AND WORK ABILITY TO MOTIVATION AND PERFORMANCE EMPLOYEE'S EMPLOYEE, EDUCATION AND REGIONAL TRAINING IN THE CITY OF SAMARINDA

2020 ◽  
Vol 4 (02) ◽  
Author(s):  
Nurhikmah Nurhikmah ◽  
Rusdiah Iskandar ◽  
Gusti Noorlitaria Achmad
Keyword(s):  
Data Analysis ◽  
Organizational Commitment ◽  
Significant Influence ◽  
Work Ability ◽  
Negative Influence ◽  
Positive Influence ◽  
Study Data ◽  
Equation Modeling ◽  
Employee Education ◽  
And Performance

Data analysis method that will be used is Stuctural Equation Modeling analysis. In this study data analysis using PLS approach. PLS is a model of SEM equations based on components or variants. Population in this research is all employees of Agency Personnel, Education and Training Area of Samarinda City. The results showed that; Leadership gives a negative influence on motivation, leadership does not have a significant effect on motivation, Leadership gives a positive influence on performance, leadership gives no significant effect on performance, organizational commitment has a positive influence on motivation, organizational commitment does not have a significant effect on motivation, organizational commitment has a negative influence on performance, organizational commitment does not have a significant effect on performance, work ability has a positive influence on motivation, work ability provides significant influence on motivation, work ability gives a positive influence on performance, work ability provides insignificant influence on performance, motivation has a positive influence on performance, motivation has a significant influence on the performance.

scholarly journals Persepsi Masyarakat Tentang Kinerja Kantor Search and Rescue Medan dalam Pencarian Orang Hilang di Gunung Sibayak

2020 ◽  
Vol 2 (1) ◽  
pp. 7-11
Author(s):  
Hisar Turnip ◽  
Yan Hendra ◽  
Armansyah Matondang
Keyword(s):  
Data Analysis ◽  
Qualitative Method ◽  
Public Perception ◽  
Local Community ◽  
Descriptive Study ◽  
Study Data ◽  
Research Subjects ◽  
The Public ◽  
Search Operation ◽  
And Performance

This research tries to examine how the perception of society that is formed on local community which located at SAR Medan operation conducted search operation of missing person in Sibayak Mountain. The theory used in this research is the theory of perception, Society and Performance. The method used in this research is qualitative method in the form of descriptive study.  Data analysis that researchers use is data analysis made by Miles and Huberman. Research subjects in this study involving 3 local people who are in the area they were selected using sampling snowball techniques treated through interviews. Based on the research results obtained conclusion stating that the public perception about the performance of SAR Medan was not good or tend to negative,

Architecture of a distributed system for processing heterogeneous data from social networks

2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Distributed System ◽  
Heterogeneous Data ◽  
Analysis Process ◽  
Support Costs

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.

A sustainability internship program: strategies for creating student stewards for sustainability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongor Miller ◽  
Byron Ronald Miller Jr ◽  
Jeffrey Spoelstra
Keyword(s):  
Local Community ◽  
Leadership Skills ◽  
Study Data ◽  
Behavior Changes ◽  
University Campus ◽  
Content Type ◽  
Assessment Scores ◽  
Post Test ◽  
Internship Programs ◽  
Method Of Evaluation

Purpose The purpose of this paper is to explore the strategies and an effective model for creating and implementing a sustainability internship program at a university campus. Design/methodology/approach This study assessed Western Michigan University’s sustainability program’s interns’ gain of environmental knowledge on sustainability topics via pre- and post-test assessments. A sample of 50 interns between fall 2016 and spring 2019 comprising six cohorts participated in this study. Data were analyzed using statistical package for social sciences to calculate descriptive statistics and sign tests. Findings The sign tests of the accumulative internship pre- and post-test assessment scores significantly increased for all 14 sustainability knowledge dimensions. Research limitations/implications The pre- and post-test assessments of the internship program are unable to track and predict the long-term behavior changes of the interns after the completion of the program. Therefore, a future longitudinal study is needed. Practical implications This sustainability internship program’s content and experiential learning model has been proven to be effective in increasing interns’ knowledge of sustainability issues and creating sustainability stewards. Institutions and universities should consider creating their own sustainability internship program based on Western Michigan University's program using pre- and post-test assessments as a method of evaluation. Social implications The internship programs’ main strength is that it offers students from all academic backgrounds an opportunity to dig deep into sustainability issues, build new social networks, gain knowledge, develop leadership skills, become sustainability stewards and immediately apply what they have learned on campus and in their local community. On-campus internships are unique learning opportunities worthy of study and refinement. Originality/value This research paper is unique because it analyzes the combined pre- and post-test scores of six cohorts of interns’ across multiple knowledge dimensions of sustainability. This study empirically shows that the combined interns’ sustainability knowledge across all dimensions significantly increased from the pre- to post-test over the semester-long program.

Private tutoring in Bangladesh: evolution, expansion, and policy responses

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Bayezid Alam ◽  
Zhiyong Zhu
Keyword(s):  
Education System ◽  
Private Tutoring ◽  
Study Data ◽  
Major Type ◽  
Case Study Methodology ◽  
Content Type ◽  
Secondary Sources ◽  
Analysis Process ◽  
Development Trajectory ◽  
The Government

PurposeThis study explores the development trajectory of private tutoring in Bangladesh. Specifically, it illustrates how private tutoring has emerged and expanded in the country's education system and examines how governments have responded on this issue.Design/methodology/approachThe authors adopted a case study methodology for this study. Data were gathered from different secondary sources such as books, official documents, scholarly articles, and newspaper reports. The data analysis process consists of three-phases of activities: data reduction, data display, and conclusion drawing/verification.FindingsPrivate tutoring historically existed in Bangladesh. It is rapidly expanded in the country's education system – from primary to higher secondary level. Currently, it has reached an industrialization stage, where commercial coaching has become a major type of tutoring. The expansion of private tutoring is the inevitable result of the continued privatization and marketization of education. To bring the private tutoring under a framework, the government has taken some regulatory measures that can be characterized as “laissez-faire.” The existing measures are largely ineffective, as the policy makers followed an “top-down” approach when framing the policies.Originality/valueThis study, to the best of the authors' knowledge, is the first to target the historical aspects of private tutoring in Bangladesh. It has potential to fill out the literature gap on private tutoring by analyzing its policy aspect.

scholarly journals Content Analysis of Stories for Preschoolers About Honesty

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Sibel Dal ◽  
◽  
Cemil Öztep ◽  
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Qualitative Study ◽  
Document Analysis ◽  
Values Education ◽  
Study Data ◽  
Computer Assisted ◽  
Positive Outcomes ◽  
Negative Consequences ◽  
National Education

The purpose of this study is to examine how selected stories, which are written in Turkish by local or foreign authors for preschoolers, deal with honesty. In this basic interpretive qualitative study, data were collected through document analysis and analyzed through content analysis. Analyzed documents are twenty-one picture books, which written in Turkish for preschoolers published between 2004 and 2015, nine stories about honesty published online by four Turkish Provincial Directorates of National Education and one story about honesty published online by the Center for Values Education. The software NVivo 11 was used to conduct computer-assisted data analysis. The results of this study demonstrate that most of the analyzed texts use “dishonesty and its negative consequences” more than “honesty and its positive outcomes” to promote honesty.

scholarly journals Hope and Mental Well Being among Male and Female Cancer Patients

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Sana Fatima
Keyword(s):  
Data Analysis ◽  
Standard Deviation ◽  
Cancer Patient ◽  
Cancer Patients ◽  
Well Being ◽  
Study Data ◽  
Male And Female ◽  
Female Cancer Patients ◽  
Herth Hope Index ◽  
Mental Well Being

Hope and Mental well being are important for an individual’s life and same goes for the cancer patients. The aim of the present study is to see the hope and mental well being among male and female cancer patients. The hypotheses of the study was to examine that there will be no difference between male and female cancer patient on hope and on mental well being. The sample of this study included 60 subjects (30 male and 30 female subjects) selected by purposive sampling from Aligarh district of U.P. In this study two inventories were used viz., Herth Hope Index and Warwick-Edinburgh Mental well-being scale. Investigator used mean, standard deviation and t-test, and in order to draw out the results. A quantitative approach was used by the researcher to conduct this study; data collection and data analysis were done using this approach.  The results of the study are that there exists no difference found between male and female cancer patients on hope, and there exist no difference between male and female cancer patients on mental well-being.

scholarly journals Hubungan Budaya Sekolah Dan Keteladanan Guru Dengan Karakter Siswa Sekolah Dasar Negeri 050772 Kecamatan Pangkalan Susu Kabupaten Langkat

2021 ◽  
Vol 4 (1) ◽  
pp. 19-26
Author(s):  
Khairani Nasution
Keyword(s):  
Data Analysis ◽  
School Culture ◽  
Primary School ◽  
Positive Relation ◽  
Data Collection Tool ◽  
Know How ◽  
Analysis Process ◽  
Analysis Technique ◽  
Sample Data ◽  
Data Analysis Result

This research aims to know how the relation of primary School 050772 Pangkalan Susu. The sample of this research 30 student where 21% taken  of 141 students. This research uses data collection tool in the form of Likert scale. Questioner is compiled based on variabel and tested to  respondent that is not research sample. Data analysis process is conducted by using quantitative approach through three steps, they are: 1. Describing research variabel data. 2. Testing requirements analysis. 3. Testing hypotesis to reveal the relation the relation beetween research variables using correlation analysis technique. Based on data analysis result and testing process, then the conclusion is (1) the school culture has positive relation with student’s character of primary school 050772 Pangkalan Susu. This case is proved that the correlation r (0,504) > r table (0,3061) while the significance is 0,004 < 0,05; (2) the teacher’s example has positive relation with student’s character of primary School 050772 Pangkalan Susu where correlation coeficient r (0,603) > r table (0,3061) with significncy 0,006, it is fewer than 0,05; (3) School Culture and teacher’s example has positive ration with student’s character of primary school 050772 Pangkalan Susu where correlation coefisiency r (0,662) > r table (0,3061), testing result F shows that F count (10,506) > F table (3,35) while significancy < 0,05 that is 0,000. Based on the research above, it can be stated that student’s character can be formed through school culture and teacher ’s example.

scholarly journals Preprocessing Profiling Model for Visual Analytics

2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Visual Analytics ◽  
Data Preprocessing ◽  
Interview Study ◽  
Raw Data ◽  
Important Stage ◽  
Analysis Process

Analyzing and managing raw data are still a challenging part of the data analysis process, mainly regarding data preprocessing. Although we can find studies proposing design implications or recommendations for visualization solutions in the data analysis scope, they do not focus on challenges during the preprocessing phase. Likewise, the current Visual Analytics processes do not consider preprocessing an equally important stage in their process. Thus, with this study, we aim to contribute to the discussion of how we can use and combine methods of visualization and data mining to assist data analysts during the preprocessing activities. To achieve that, we introduce the Preprocessing Profiling Model for Visual Analytics, which contemplates a set of features to inspire the implementation of new solutions. In turn, these features were designed considering a list of insights we obtained during an interview study with thirteen data analysts. Our contributions can be summarized as offering resources to promote a shift to a visual preprocessing.

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