Authenticity in Qualitative Data Analyses

2018 ◽  
pp. 97-111
Author(s):  
Kevin Roy ◽  
John R. Hart ◽  
Laura Golojuch
Keyword(s):  
Qualitative Data ◽  
Data Analyses

scholarly journals A Call for Enhancing Saturation at the Qualitative Data Analysis Stage via the Use of Multiple Qualitative Data Analysis Approaches

2019 ◽  
Author(s):  
Amber Sechelski ◽  
Anthony Onwuegbuzie
Keyword(s):  
Qualitative Research ◽  
Discourse Analysis ◽  
Data Analysis ◽  
Qualitative Data ◽  
Research Process ◽  
Comparison Analysis ◽  
Qualitative Data Analysis ◽  
Data Analyses ◽  
Multiple Data

The analysis of data represents the most important and difficult step in the qualitative research process. Thus, recently, a few authors have written methodological works that contain discussion of an array of qualitative data analysis approaches. Yet, despite the call of Leech and Onwuegbuzie (2007) a decade ago for qualitative researchers to analyze a given set of qualitative data in multiple ways, this practice has been largely ignored. Thus, in this article, we bolster the argument for conducting multiple data analyses. In particular, we use data stemming from an interview to demonstrate how using five qualitative data analysis approaches (e.g., constant comparison analysis, discourse analysis) helped to enhance what we refer to as analysis saturation, thereby increasing verstehen (i.e., understanding).

scholarly journals Qualitative Evaluation of the Project P.A.T.H.S.: An Integration of Findings Based on Program Implementers

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Daniel T. L. Shek
Keyword(s):  
Hong Kong ◽  
Focus Groups ◽  
Interrater Reliability ◽  
Qualitative Data ◽  
Qualitative Evaluation ◽  
Data Analyses ◽  
Tier 1

An integration of the qualitative evaluation findings collected from program implementers conducting the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in different years (n=177participants in 36 focus groups) was carried out. General qualitative data analyses utilizing intra and interrater reliability techniques were performed. Results showed that the descriptors used to describe the program and the metaphors named by the informants that could stand for the program were generally positive in nature. Program participants also perceived the program to be beneficial to the development of the students in different psychosocial domains. The present study further supports the effectiveness of the Tier 1 Program of the Project P.A.T.H.S. in Hong Kong based on the perspective of the program implementers.

scholarly journals Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme Elicitation

Trials ◽  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Paul Best ◽  
Jennifer Badham ◽  
Rekesh Corepal ◽  
Roisin F. O’Neill ◽  
Mark A. Tully ◽  
...  
Keyword(s):  
Qualitative Data ◽  
User Involvement ◽  
Data Analyses ◽  
Network Methods

Log-Linear, Logit-Linear Models: A Didactic

1981 ◽  
Vol 6 (1) ◽  
pp. 75-102 ◽  
Author(s):  
Frank B. Baker
Keyword(s):  
Linear Model ◽  
Educational Research ◽  
Qualitative Data ◽  
Linear Models ◽  
Contingency Tables ◽  
Basic Logic ◽  
Data Analyses ◽  
Potential Applications ◽  
Log Linear ◽  
Model Technique

The recently developed log-linear model technique for the analysis of contingency tables has many potential applications within educational research. This paper describes the two major models, log-linear and logit-linear, that are employed under this approach. The basic logic of each is developed and illustrative data analyses presented. In addition, the underlying communality of the two schemes is shown. The intent was to provide the reader with perspective that will facilitate understanding the approach and its application to the analysis of qualitative data.

scholarly journals Inner-City Transformations after Socialism. Findings from Interviews with New Residents of Pre-War Tenement Houses in Gdańsk

2011 ◽  
Vol 15 (15) ◽  
pp. 117-129 ◽  
Author(s):  
Maja Grabkowska
Keyword(s):  
Inner City ◽  
Urban Development ◽  
Urban Sprawl ◽  
Western Europe ◽  
Qualitative Data ◽  
Lifestyle Changes ◽  
Residential Preferences ◽  
Data Analyses ◽  
Recent Debate ◽  
New Residents

Inner-City Transformations after Socialism. Findings from Interviews with New Residents of Pre-War Tenement Houses in Gdańsk Issues of intense suburbanization and urban sprawl have been the most discussed threads in the recent debate on urban development in Poland. Meanwhile, in numerous cities of Western Europe signs of inner-city revival have been observed and investigated. Led by demographic and lifestyle changes alike, such reurbanization trends are found to be closely related to household transformations. Results of undertaken studies indicate that residential preferences of non-traditional households, such as singles, cohabitations, childless couples or flatsharers, gravitate to inner-city living. The aim of this paper is to reveal similar tendencies in a postsocialist city, using the example of Gdańsk. Presented results of statistical and qualitative data analyses point towards confirmation of incipient reurbanization, although with several distinctions following from the postsocialist context.

The Challenges of Combining Quantitative and Qualitative Data Analyses

PsycCRITIQUES ◽  
2004 ◽  
Vol 49 (Supplement 14) ◽  
Author(s):  
Monika Ardelt
Keyword(s):  
Qualitative Data ◽  
Data Analyses

scholarly journals Reflections on qualitative data analysis software – Possibilities, limitations and challenges in qualitative educational research

2020 ◽  
Vol 4 (6) ◽  
pp. 41-55
Author(s):  
Epp André
Keyword(s):  
Educational Research ◽  
Qualitative Data ◽  
Natural Sciences ◽  
Digital Tools ◽  
Computer Assisted ◽  
Methodological Issues ◽  
Analysis Software ◽  
Data Analyses ◽  
Different Types ◽  
Qualitative Data Analysis Software

The progressing digitalization is increasingly permeating all spheres of life: also science. It has reached not only natural sciences, but also the humanities, such as qualitative educational research. For example, for the analysis of qualitative data in educational science researchers are increasingly using computer-assisted tools. This so-called QDA (qualitative-data-analyses) software was developed in the early 1980s in the course of the spreading digitalization to support the category based analyzes of qualitative research. Providing an overview about the current literature situation regarding QDA software and the issues addressed a systematical bibliographic research in pertinent databases were conducted. As a result, five different types of literature could be identified. Even though all categories are demonstrated only one is presented in detail. The paper focus on the category in which methodological issues are negotiated and illustrates the therein addressed arguments. Possibilities and limitations of QDA software for educational research are illustrated and past and present discussions regarding this software are outlined. In particular, it is emphasized that so far limitations of QDA software are rarely addressed. In order to deal with this void in the future more comprehensively a set of questions is proposed, which allows to reflect the use of QDA software in a specific research project in an extensive manner. Concluding further questions are raised and it is discussed if also sequential analyzes can be carried out with current QDA software or if they need new digital tools.

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