Reviews
By J. Salaff. 2003
508 citations recorded by the source corpus.
Johnny Salda-a outlines the basic elements of longitudinal qualitative data, focusing on micro-levels of change observed within individual cases and groups of participants. He draws upon his primary experience in theater education to examine time and change in longitudinal qualitative studies; contending that 'playwrights and qualitative researchers write for the same purpose: to create a unique, insightful, and engaging text about the human condition.' Offering sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data, Professor Salda-a presents a text intended as a primer for fellow newcomers to long term inquiry, based on traditional social science methods from traditional qualitative and quantitative paradigms, but enriched by an artist-educator's unconventional perspective.
View Paper: https://www.semanticscholar.org/paper/d4783c27645e95c849bb342ee288decf3359a083
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Citations in the corpus
- Developing an analytical framework for multiple perspective, qualitative longitudinal interviews (MPQLI) (2018, background): “Amongst others, Miles and Huberman (1994) and Saldaña (2003) advocate for selected studies the transformation of qualitative data into proportions.”
- Understanding the historical turn in the policy sciences: A critique of stochastic, narrative, path dependency and process-sequencing models of policy-making over time (2006, background): “…most policy studies focus on changes which occur in government actions over time, the need to carefully examine the often implicit theories of history behind identified patterns of policy development has only been recently recognized (Mahoney and Rueschemeyer, 2003; Saldana, 2003; Pierson, 2004).”
- Analysing Qualitative Longitudinal Research in Evaluations (2007, methodology): “There is little literature on the application of different data management approaches to longitudinal data, although Saldana (2003) provides a useful account of how QSR NVivo can be used specifically for the analysis of longitudinal data.”
- Conceptualizing Longitudinal Mixed Methods Designs (2015, background): “Analysis of data collected at multiple time points may involve interpreting qualitative patterns (Saldanã, 2003), visual graphical analysis techniques (Brown, McGuire, Beck, Peterson, & Mooney, 2007), and/or statistical approaches for repeated measures such as repeated measures analysis of variance ”
- What Makes Qualitative Research Qualitative? (2007, background): “Finally, for others, such as Saldana (2003), qualitative research has been fundamentally redefined as an enterprise that should be understood in terms of time, and specifically in terms of a longitudinal framework.”
- Timelining: visualizing experience (2011, background): “…of multiple interviews not only delivered some of the strengths of qualitative longitudinal research (Corden and Millar, 2007; Neale and Flowerdew, 2003; Saldaña, 2003; Shirani and Henwood, 2011) but also served to ensure that time was central to our graphic elicitation process on several levels.”
- The Coding Manual for Qualitative Researchers (2009, background): “• frequency counts (LeCompte & Schensul, 1999) • interrelationship (Saldaña, 2003) • life-course mapping (Clausen, 1998) • metaphoric analysis (Coffey & Atkinson, 1996;Todd & Harrison, 2008) • narrative inquiry and analysis (Clandinin & Connelly, 2000; Coffey & Atkinson, 1996;Cortazzi, 1993;Daiute &”
- Researchers under the spell of the arts: Two decades of using arts-based methods in community-based inquiry with vulnerable populations ☆ (2017, background): “The findingsmay present themselves as a drama or dance performance, an exhibition of images or a visual representation, an artifact or a collage (Bach,1998; Bagley& Concienne, 2002; Gray et al., 2000; Harrington& Schibik, 2003; Saldana, 2003).”