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Methodological Challenges and Solutions



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Methodological Challenges and Solutions 
At the methodological level, the challenge was with constructing a coding scheme, also 
referred to as content analysis model, to measure the demonstration of CCT on ADFs.
For the content analysis of computer-mediated communication, such as those on ADFs, a 
number of content analysis models have been used; such as Critical Thinking for Content 
Analysis Model (ICC) by Newman, Webb and Cochrane (1995), Interaction Analysis Model 
(IAM) by Gunawardena, Lowe and Anderson (1997), and Practical Inquiry Model (PIM) by 
Garrison, Anderson and Archer (2001), which are the three most prevalently used coding 
schemes (Buraphadeja & Dawson, 2008).
While using multiple coding schemes or a synthetic coding scheme can strengthen 
credibility of content analysis findings (De Wever, Schellens, Valcke, & Van Keer, 2006), 
most studies have used a single coding scheme (e.g. Kol & Schcolnik, 2008; McLoughlin 
& Mynard, 2009; Richardson & Ice, 2010), or have used none (e.g. Lee, 2009). 
Therefore, I developed a synthetic coding scheme to be able to detect CCT on ADFs more 
readily. For this purpose, I extensively reviewed the literature to evaluate a) the 
theoretical compatibility of the available coding schemes to the present study, b) the 
available coding schemes’ proposed critical thinking conceptualisation (i.e. individual 
critical thinking or CCT), and c) the available coding schemes
’ inter
-rater reliability index 
(Buraphadeja & Dawson, 2008). 
Among the most prevalently used coding schemes (ICC, IAM and PIM), I selected IAM for 
the content analysis of the ADF postings in this study. To elaborate, ICC mainly measures 
individual critical thinking. IAM and PIM, however, measure CCT. Therefore, ICC was 
discarded, since it did not code for CCT, a key concept in my research. A review of the 
previous research (e.g. Buraphadeja & Dawson, 2008) revealed that IAM and PIM were 
both practical coding schemes, and could be successfully used for assessing critical 
thinking on ADFs since they are frequently used, modified and tested by different coders. 
However, I found that PIM and IAM have two key differences which led me to select the 
latter. 
Firstly, while both PIM and IAM code for the five critical thinking phases of questioning, 
analysing, synthesising, evaluating, and decision making, IAM includes five distinct 
indicators for each critical thinking phase; in IAM, evaluation and decision making phases 


-152- 
2014 CALL Conference 
LINGUAPOLIS
www.antwerpcall.be 
appear as two separate phases, each with detailed indicators making it easier for coders 
to distinguish the two skills and to code for them. Secondly, in contrast to PIM, which 
only offers broad descriptions, IAM lists more specific indicators for each critical thinking 
phase, which decreases the chance of subjective coding.
Some indicators in PIM are either ambiguous or too broadly defined; words such as 
“systematically”, “tentative”, and “vicarious application”. What is a “tentative” 
hypothesis? What distinguishes a justified and tentative argument from a justified but 
not tentative argument? These ambiguities could make coding of online postings 
subjective. Therefore, I decided to select IAM as the coding scheme in this study to 
reduce subjective coding of online discussions. 
Another reason for selecting IAM in this study was its theoretical alignment with social 
theories of learning (Vygotsky 1978) and with my aforementioned conceptualisation of 
CCT. As mentioned earlier, the conceptualisation of CCT that I arrived at was informed by 
the process-oriented definitions of CCT that defined different types of interactive 
message types (see Table 1). As outlined in Table 2, IAM codes for the three interactive 
message types of ‘dialog’, ‘dialectic’, and ‘construction’ (Jenlink & Carr, 1996), as well as 
‘cumulative talk’ and ‘exploratory talk' (Mercer & Littleton, 2007). Another type of 
inquiry-based group-mediated thinking manifested in IAM is what has been called 
‘challenge and explain’ (Curtis & Lawso
n, 2001). Deloach and Greenlaw (2005) have 
described the process of critical thinking in online discussions as constantly being 
triggered by ‘challenge and explain’: “In electronic discussions...students are constantly 
challenged to improve their answers by providing relevant backing for their opinions. 
Simply put, there appears to be a critical thinking spillover effect” (p. 150).
CCT levels in the modified IAM and interactive message types

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