Untangling Methodological Commitments in Writing Research: Using Collaborative Secondary Data Analysis to Maximize Interpretive Potentials of Qualitative Data

2021 ◽  
pp. 074108832110101
Author(s):  
Shannon Madden ◽  
Sandra L. Tarabochia
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Collaborative Study ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Decision Making Process ◽  
Student Writers ◽  
Methodological Choices ◽  
Writing Research ◽  
Research Designs

Writing and communication researchers are in the early stages of developing procedures for reusing and maximizing the analytical potentials of qualitative data. Contributing to this effort, we critically reflect on our methodological decision-making process in developing innovative procedures for cross-analyzing two distinct studies. Our reflection responds to the need for published guidance on how to undertake methodological adaptation, the lack of which limits opportunities for other researchers to develop new study procedures to address complex problems. By discussing how and why we made particular methodological choices and adaptations in our collaborative study of faculty and doctoral student writers, we propose collaborative secondary data analysis as a fruitful avenue for qualitative writing researchers and show its potential to enact richer and more equitable research designs.

scholarly journals Exploring youth information-seeking behaviour and mobile technologies through a secondary analysis of qualitative data

2018 ◽  
Vol 50 (3) ◽  
pp. 322-331 ◽  
Author(s):  
Leanne Bowler ◽  
Heidi Julien ◽  
Leslie Haddon
Keyword(s):  
Data Analysis ◽  
Information Seeking ◽  
Qualitative Data ◽  
Secondary Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Mobile Technologies ◽  
The European Union ◽  
Data Set ◽  
Information Behaviour

This paper examines issues associated with secondary analysis of qualitative data and their implications for information behaviour scholarship. Secondary data analysis poses a range of potential challenges for data creators, but also opportunities, including the ability to expand theory to a wider context, strengthen the reliability and validity of existing theory, gain access to populations that may be difficult to access, and to promote data archiving. The paper uses as a case study of secondary data analysis the results from our re-examination of data gathered previously in the European Union project Net Children Go Mobile, drawing from the interview transcripts from the 34 children in the UK data set. Our approach to secondary analysis was reanalysis, applying a new interpretive lens to the data that necessitated new questions in order to reveal hidden layers in the data. The data was analysed for evidence of information behaviour in order to understand how mobile technologies may be changing the way that young people seek and use information. The reanalysis of the data set supported existing models of information behaviour but revealed new ways of information seeking based on the affordances of screen size and data plans.

scholarly journals Conducting secondary analysis of qualitative data: Should we, can we, and how?

2017 ◽  
Vol 18 (1) ◽  
pp. 81-97 ◽  
Author(s):  
Nicole Ruggiano ◽  
Tam E Perry
Keyword(s):  
Data Analysis ◽  
Best Practices ◽  
Qualitative Data ◽  
Secondary Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Ethical Problems ◽  
Current State ◽  
Critical Interpretive Synthesis ◽  
Recommended Guidelines

While secondary data analysis of quantitative data has become commonplace and encouraged across disciplines, the practice of secondary data analysis with qualitative data has met more criticism and concerns regarding potential methodological and ethical problems. Though commentary about qualitative secondary data analysis has increased, little is known about the current state of qualitative secondary data analysis or how researchers are conducting secondary data analysis with qualitative data. This critical interpretive synthesis examined research articles (n = 71) published between 2006 and 2016 that involved qualitative secondary data analysis and assessed the context, purpose, and methodologies that were reported. Implications of findings are discussed, with particular focus on recommended guidelines and best practices of conducting qualitative secondary data analysis.

scholarly journals Sexual Assault: Indigenous Women’s Experiences of Not Being Believed by the Police

2021 ◽  
pp. 107780122110139
Author(s):  
Jodie Murphy-Oikonen ◽  
Lori Chambers ◽  
Karen McQueen ◽  
Alexa Hiebert ◽  
Ainsley Miller
Keyword(s):  
Data Analysis ◽  
Sexual Assault ◽  
Qualitative Study ◽  
Sexual Victimization ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Indigenous Women ◽  
Women’S Experiences ◽  
Women's Experiences ◽  
The Way

Rates of sexual victimization among Indigenous women are 3 times higher when compared with non-Indigenous women. The purpose of this secondary data analysis was to explore the experiences and recommendations of Indigenous women who reported sexual assault to the police and were not believed. This qualitative study of the experiences of 11 Indigenous women reflects four themes. The women experienced (a) victimization across the lifespan, (b) violent sexual assault, (c) dismissal by police, and (d) survival and resilience. These women were determined to voice their experience and make recommendations for change in the way police respond to sexual assault.

scholarly journals Analisis Kepuasan Pelanggan dalam Membeli Buah-buahan Segar di Moena Fresh Bali

2018 ◽  
pp. 81
Author(s):  
PUTU OKA WARDIKA ◽  
RATNA KOMALA DEWI ◽  
NI WAYAN PUTU ARTINI
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Qualitative Data ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Satisfaction Index ◽  
The Matrix ◽  
Competitive Prices ◽  
Data Analysis Methods

Analysis Customer Satisfaction in Buying Fresh Fruits in Moena Fresh Bali Increased consumption of fruits in the country have an impact on the growth of fruitsales in Indonesia. This increase causes the appearance of stiff competition in thebusiness of fruits. Moena Fresh Bali as one of the companies that sell fresh fruitsmust innovate or improve the shortage so that the consumers do not turn to otherproducts. Consumer behavior may help explain how consumers obtain satisfaction.The purpose of this research is to determine satisfaction of Moena Fresh Baliconsumers and to find out actions to increase customer satisfaction of Moena Fresh.The location of the research was conducted at four Moena Fresh outlets as it wasconsidered to represent consumers in every sub-district in Denpasar City. Thenumber of respondents was as many as 50 respondents and the sampling wasconducted by using accidental sampling. Types of data collected include quantitativeand qualitative data which were sourced from primary and secondary data. Methodsof data collection were by using interview techniques, observation, anddocumentation. Data analysis methods used were descriptive analysis, ImportancePerformance Analysis and Customer Satisfaction Index. Based on the results ofresearch, the calculation of CSI to the attributes of Moena Fresh Bali was 77.6% i.e.it meets the criteria of satisfaction. Based on the Matrix of Importance Performance,product attributes are classified into four quadrants and actions to improve customersatisfaction are through the improvement of attributes that become the main priority,namely the attributes of advertising / promotion, price, and discounts. The studysuggests that Moena Fresh Bali should perform printed and electronic publicationsand set competitive prices to maintain its customers.

Secondary Data Analysis

1989 ◽  
Vol 3 (2) ◽  
pp. 66-69
Author(s):  
Dorothy G. Herron
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis
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