Secondary Analysis for Digitized Data

2022 ◽  
pp. 898-919
Author(s):  
Gennaro Iorio ◽  
Marco Palmieri ◽  
Geraldina Roberti

Secondary analysis for quantitative data is a social research method traditionally employed for statistical analysis of administrative data. In the new digital society, this old research method that pre-existed the emergence of the new digital environment has been digitized to carry out its valuable activity in doing science. In this chapter, the secondary analysis for digitized data is illustrated. Thanks to the growing availability of datasets digitized on the web, the scholars of social well-being use the secondary analysis to inquiry this phenomenon through a cross-national perspective. The authors present the empirical study of World Love Index, in which the utility of the secondary analysis in finding and selecting valid indicators of social well-being is experienced.

2021 ◽  
Vol 563 (2) ◽  
pp. 1-10
Author(s):  
Małgorzata Stochmal ◽  
Jan Maciejewski ◽  
Andrzej Jarynowski

The article presents the results of the secondary analysis of qualitative and quantitative data in relation to social research conducted in Poland during the pandemic. The research results were introduced on the basis of analyzes of 180 projects carried out by scientific and commercial institutions in the period from January to May 2020. The aim of the project is to present a standard way of conducting empirical research for social researchers who undertake the challenge of identifying the phenomena accompanying the SARS-CoV-2 pandemic. We are interested in the possibility of drawing conclusions that go beyond individual research projects carried out in the social field. The conclusions recommended by us concern the following issues: mitigating the polarization of social attitudes dynamically changing during a pandemic, practical solving – and not only diagnosing – problems revealed in COVID reality and supplementing the deficiencies of theoretical assumptions accompanying research works.


QATHRUNÂ ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 141
Author(s):  
Aliudin Aliudin ◽  
Eneng Muslihah

This study aims to determine; 1) the implementation of the discussion method at the Attoyyibiyyah Islamic Boarding School, Cikande, Serang Regency 2) the implementation of the sorogan method at the Attoyyibiyyah Cikande Islamic Boarding School, Serang Regency 3) the contribution of the discussion and sorogan methods to improve the ability to read the book of fath al-qorib. 4) Comparison of the contribution of the discussion and sorogan methods to improve the ability to read the book of Fath al-qorib. This research is a mixed method research method. Respondents were 40 students, collecting data using questionnaires and tests to determine the contribution of increasing the ability to read the book of fath al-qorib. The qualitative data analysis technique used is the data triangulation technique, while the quantitative data uses statistical analysis. The results of this study are; 1) The discussion method is carried out three times a week, namely; every Saturday night, Monday night and Wednesday night at 20.00 WIB - 22.00, the book that is studied is the book "Fath Al-qorib" Implementation technique; first, the students sit in the majlis, the students who have the task of discussing the next step forward. second, begins with prayer, then reads the material to be delivered and the murody. Third, students are welcome to ask questions, then discussed, then the ustadz explains the material and finally ends with a prayer. 2) The sorogan method is carried out every Monday afternoon, the book that is studied is the book "Fath Al-qorib" Implementation technique; firstly, it was carried out by means of the students reading back the book that was read by Ustadz. second, the teacher listens to the students' reading and explanation of the material. 3) The contribution of the discussion method is 94% and the sorogan method is 40.96% 4) The contribution comparison of the discussion method and the discussion method sorogan has a greater contribution than the sorogan method.


2007 ◽  
Vol 12 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Niamh Moore

Recent interest by social scientists in the questions posed by reusing qualitative data has been prompted by two related events. The first is the establishment of the Qualitative Data Archival Resource Centre (QUALIDATA, and, since 2003, ESDS Qualidata) at the University of Essex in 1994. The second is the publication of the Economic and Social Research Council (ESRC) Datasets Policy (1996) which asks that those in receipt of ESRC grants offer copies of their data for deposit to QUALIDATA. This perceived injunction to archive data has been met with resistance by recalcitrant researchers who are wary of the implications of depositing data, and the possibilities of reusing data. The debate risks becoming polarised between those advocating the archiving and reuse of qualitative data, and those more sceptical of these possibilities. This paper aims to open up this debate and to seek a more fruitful path between these positions. I begin by calling into question the supposed ‘newness’ of reusing qualitative data, through turning to examine some of the assumptions embedded in the key terms and premises of the debate thus far, including the reliance on distinctions between primary and secondary data and primary and secondary analysis. I examine some common tropes in accounts of reusing data: comparisons with secondary analysis of quantitative data; efforts to distinguish between reusing qualitative data in a sociological context and other disciplinary and methodological traditions; and reliance on particular interpretations of key principles of qualitative research, context and reflexivity, in establishing the challenges of the reusing of qualitative data. I suggest that reuse may be more productively understood as a process of recontextualising data, and that attending to the reflexive production of data in the contemporary research project may offer more hopeful possibilities for reuse. I conclude by offering some reflections on why discussions of reusing qualitative data appear to have become so fraught.


2021 ◽  
pp. 67-118
Author(s):  
Susan Oman

AbstractUnderstanding the where, what, how, who and why is important to any social research. This chapter poses these questions about data and well-being in various ways. We look at well-being measurement, appraising the pros and cons of different forms of data and approaches, acknowledging that all data have limits and that context should drive any chosen approach. It presents examples of qualitative data available through interviews and ethnographies, and quantitative data through surveys, and administrative records. We focus on objective well-being data and a case study of the OECD reveals the volume of decision-making behind international objective indicators. Such human intervention is rarely visible, but is important and useful to improve understanding and comprehension of well-being data more generally.


2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Mita Rosaliza ◽  
Lanang Diayudha

<p>Workers as human resouce contribute significantly to productivity in an organization. Their contribution is big even when technology has replaced some of their rules and functions. However, workers are not free from facing problems at the work place related to the work that they do, the work place itself, other wokers etc. Research conducted at a Songket handicraft industry X is to identify sources of dissatisfaction face by their workers at the work place. The study also intends to see how the workers express their feelings of dissatisfaction and to understand workers attitude towards their place of work. This is an empirical study using questionnaire and interview as tha main techniques in a survey for gathering data. A total of 20 respondents were met. The SPSS program was used to analyze the quantitative data. The fundings show that the main cause of dissatisfaction among the workers is the wages they receive. Other extrinsic (such as management style, work burden and depression from other workers)) and intrinsic factors (such as appreciation and respect) also contribute to the dissatisfaction among workers. Besides that, problem at work place continues because the workers are not concern about their right and welfare. As such it can be said that workers need to be managed well and their well being looked after. Otherwise, it could be a cause of dissatisfaction among the workers and without proper channels to help address it could lead the workers to express them in the informal and negative ways.</p><p>Key words : human resource, songket, handy craft</p><p> </p>


Author(s):  
Sam Ladner

This chapter aims to improve the rigor and legitimacy of Web-traffic measurement as a social research method. I compare two dominant forms of Web-traffic measurement and discuss the implicit and largely unexamined ontological and epistemological claims of both methods. Like all research methods, Webtraffic measurement has implicit ontological and epistemological assumptions embedded within it. An ontology determines what a researcher is able to discover, irrespective of method, because it provides a frame within which phenomena can be rendered intelligible. I argue that Web-traffic measurement employs an ostensibly quantitative, positivistic ontology and epistemology in hopes of cementing the “scientific” legitimacy they engender. But these claims to “scientific” method are unsubstantiated, thereby limiting the efficacy and adoption rates of log-file analysis in general. I offer recommendations for improving these measurement tools, including more reflexivity and an explicit rejection of truth claims based on positivistic science.


2022 ◽  
pp. 24-41
Author(s):  
Felice Addeo ◽  
Valentina D'Auria

The digital society is a research object that still lacks a clear and shared definition, as it is always in progressive and whirling transformation. From a methodological point of view, digital society is then a fruitful ground for experimentation and innovation. However, the unceasing flourishing of online social practices and the innovative ways to frame into data the online activities of individuals make the knowledge drawn from the web always uncertain, revisable, and at high risk of obsolescence. Social research tried to face the challenges posed by the digital society first by adapting the established social research methods to the new digital environments and then creating new ones. Neither approach has been able to define which are the most valid and reliable methodological tools to study the digital society, nor to draw a shared vision that would allow social research to advance. This chapter discusses the challenges and opportunities that the digital society poses to social research methodology and reflects on the need for new epistemological and methodological positions.


2016 ◽  
Vol 25 (1) ◽  
pp. 5-26 ◽  
Author(s):  
Lucy Holmes

“It's not waiting to be found, not missing, not lost or anything like that—just not wanting to be found for a while” [Formerly missing woman]. When an adult goes missing, there is often an underlying reason; save for a small number of misunderstandings, missing incidents tend to be indicative of difficulties in the missing person's life. Mental health is inextricably linked with missing; as many as 80% of missing people are thought to have a mental health issue (Holmes, 2014b). Using data collected by the Economic and Social Research Council-funded Geographies of Missing People project, this article explores this link, through secondary analysis of interviews with returned missing adults and with police officers, to shine a light on the key themes that emerged. Furthermore, the article argues that the response to returning missing adults in the United Kingdom is inadequate, meaning that potentially vulnerable adults are left without the assessment and support they need to maintain their mental well-being and to prevent future missing incidents. This article contributes to existing knowledge about the links between mental health and missing and makes a number of suggestions for improvements in cross-sector policy and practice.


2018 ◽  
Vol 31 (2) ◽  
pp. 75-82 ◽  
Author(s):  
Joan S. Grant ◽  
Lucinda J. Graven

The purpose of this study was to identify high priority problems experienced by informal caregivers when providing care for individuals with heart failure in the home. This secondary analysis was part of a cross-sectional, descriptive study using online self-report instruments (N = 530), including one researcher-developed item identifying top priority problems for heart failure caregivers. Content and quantitative data analyses were conducted. Performing multifaceted activities and roles that evolve around daily heart failure demands (n = 463) and maintaining caregiver physical, emotional, social, and financial well-being (n = 138) were the two most common themes experienced by caregivers of individuals with heart failure. Each of these two problems had several dimensions. Another theme was providing unending care (n = 40), with two dimensions.


2018 ◽  
Vol 26 (1) ◽  
pp. 13-29
Author(s):  
Erlangga Arya Mandala ◽  
Faresti Nurdiana Dihan

The Emotional intelligence, spiritual intelligence and job satisfaction to be part of the factors that influence performance. The purpose of this study was to determine the effect of emotional intelligence and spiritual intelligence on the performance through job satisfaction as an intervening variable partially and simultaneously. This study also aimed to determine the effect of emotional intelligence and spiritual intelligence on the performance through job satisfaction as an intervening variable directly and indirectly. This study was conducted to 77 respondents employees of PT. Madu Baru, Yogyakarta. The research method used is quantitative method uses statistical analysis and descriptive. The results of this study are (1) there is a significant effect of emotional intelligence on employee job satisfaction. (2) there is a significant influence of spiritual intelligence on employee job satisfaction. (3) There is a significant relationship between emotional intelligence and spiritual intelligence on job satisfaction. (4) There is a significant relationship between emotional intelligence on employee performance. (5) There is a significant relationship between spiritual intelligence on employee performance. (6) There is a significant relationship between emotional intelligence and spiritual intelligence on employee performance. (7) There is a significant relationship between job satisfaction on employee performance. (8) There is an indirect effect of emotional intelligence on the performance of employees through job satisfaction. (9) There is the indirect influence of spiritual intelligence on the performance of employees through job satisfaction. Keywords: emotional intelligence, spiritual intelligence, job satisfaction and employee performance


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