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Journal Article

A Technical Guide to Effective and Accessible Web Surveys  pp101-109

Greg Baatard

© Dec 2012 Volume 10 Issue 2, ECRM, Editor: Ann Brown, pp53 - 153

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Abstract

The Internet is becoming an increasingly prominent medium for the administration of surveys. Although individual findings vary, the majority of the literature agrees that the appropriateness and response rates of web surveys is expected to rise in the fut

 

Keywords: web, online, survey, questionnaire, guide, accessibility

 

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Journal Article

Multiple Imputation by Chained Equations in Praxis: Guidelines and Review  pp41-56

Jesper N. Wulff, Linda Ejlskov

© Apr 2017 Volume 15 Issue 1, Editor: Ann Brown, pp1 - 56

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Abstract

Multiple imputation by chained equations (MICE) is an effective tool to handle missing data ‑ an almost unavoidable problem in quantitative data analysis. However, despite the empirical and theoretical evidence supporting the use of MICE, researchers in the social sciences often resort to inferior approaches unnecessarily risking erroneous results. The complexity of the decision process when encountering missing data may be what is discouraging potential users from adopting the appropriate technique. In this article, we develop straightforward step‑by‑step graphical guidelines on how to handle missing data based on a comprehensive literature review. It is our hope that these guidelines can help improve current standards of handling missing data. The guidelines incorporate recent innovations on how to handle missing data such as random forests and predictive mean matching. Thus, the data analysts who already actively apply MICE may use it to review some of the newest developments. We demonstrate how the guidelines can be used in praxis using the statistical program R and data from the European Social Survey. We demonstrate central decisions such as variable selection and number of imputations as well as how to handle typical challenges such as skewed distributions and data transformations. These guidelines will enable a social science researcher to go through the process of handling missing data while adhering to the newest developments in the field.

 

Keywords: Multiple imputation by chained equations, MICE, missing data, guidelines, review, R

 

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Journal Article

The Research Audit Trail: Methodological Guidance for Application in Practice  pp166-177

Marian Carcary

© Dec 2020 Volume 18 Issue 2, Editor: Ann Brown, pp72 - 190

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Abstract

The merits of qualitative research remain an issue of ongoing debate and investigation. Qualitative researchers emphasise issues such as credibility, dependability, and transferability in demonstrating the trustworthiness of their research outcomes. This refers to the extent to which the research outcomes are conceptually sound and serves as the basis for enabling other researchers to assess their value. Carcary (2009) proposed trustworthiness in qualitative inquiry could be established through developing a physical and intellectual research audit trail – a strategy that involves maintaining an audit of all key stages and theoretical, methodological, and analytical decisions, as well as documenting how a researcher’s thinking evolves throughout a research project. Since 2009, this publication has been cited in greater than 600 studies. The current paper provides an analysis of the use and value of the research audit trail, based on the author’s application of this strategy across diverse research projects in the field of Information Systems management over a ten year time period. Based on a critical reflection on insights gained through these projects, this paper provides an in‑depth discussion of a series of guidelines for developing and applying the research audit trail in practice. These guidelines advance existing thinking and provide practical recommendations in relation to maintaining a research audit trail throughout a research project. Based on these guidelines and the core issues that should be covered at a physical and intellectual research audit trail level, a checklist that can be tailored to each project’s context is provided to support novice researchers and those who are new to the research audit trail strategy. As such, this paper demonstrates commitment to rigor in qualitative research. It provides a practical contribution in terms of advancing guidelines and providing a supporting checklist for ensuring the quality and transparency of theoretical, methodological, and analytical processes in qualitative inquiry. Embedding these guidelines throughout the research process will promote critical reflection among researchers across all stages of qualitative research and, in tracing through the researcher’s logic, will provide the basis for enabling other researchers to independently assess whether the research findings can serve as a platform for further investigation.

 

Keywords: qualitative research, research audit trail, research audit trail methodology, research audit trail checklist, methodology guidelines, physical audit trail, intellectual audit trail, research confirmability, research trustworthiness

 

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Journal Issue

Volume 15 Issue 1 / Apr 2017  pp1‑56

Editor: Ann Brown

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Keywords: big data, business intelligence, qualitative research method, social media analysis, text mining, text analytics, Social Physics, crowdsourcing, multicultural, multidisciplinary, collaborative research, social sciences, Knowledge Cafés, Theory refinement, Theoretical conjectures, Research Methodology, Hermeneutics, Multiple imputation by chained equations, MICE, missing data, guidelines, review, R

 

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