#Atlasti color code code
So, this time around, we are going to select our corresponding code groups and document groups. Now let’s see how much of our findings on all the dimensions of online leadership come from the literature review and interview data. Similarly, we have grouped all of the “power” codes into one group, and we grouped all the codes of the other dimensions of online leadership we are analyzing. We have grouped all the documents from the literature review and all the documents from the interviews, so now we can directly compare between these two groups of documents. We also conducted interviews with online leaders, and now we want to compare between our findings from the literature review and from our interviews. Perhaps now would be a good moment to open a memo, and write our reflections and interpretations of this result for example, it is interesting to note that Liao (2014) talks more about referent power while Avolio and Kahai (2003) talk more about informational power, why might this be? Is it because they conducted studies focusing on that particular type of power? Or do they think that that particular type of power is more important for online leadership? We can write out our ideas, and then we can easily look through the corresponding quotations to discern whether our interpretations make sense: Does the interpretation fit the data, or is there a better way to explain this trend? So, this example here is a pretty straightforward comparison, as we can see how much each code was used in each document. From Excel, you could easily insert a chart or graph to visually present your findings (this can be particularly helpful for presenting your results in a final paper or presentation!). ATLAS.ti will export whatever information you currently see in your Code-Document Table (i.e., if you have included column relative frequencies, those will also be exported to Excel). To save this table, just click on the “Export” button, and ATLAS.ti will open up the table directly in Excel. Thus, you can choose whether you want to see the relative frequencies of the data in the columns, rows, and/or whole table (you can select one, two, or all three options to view them in the table at the same time).
On the other hand, 40% of the data regarding power that comes from Liao (2017) is about referent power. Looking at the table, we can see that 50% of the data regarding power that comes from Avolio and Kahai (2003) is about informational power. In ATLAS.ti Windows, click on “Normalize” in the ribbon toolbar in ATLAS.ti Mac, click on “Options” and select “Normalize.” What do we do now?įortunately, ATLAS.ti is here to help! You can normalize these frequency counts: the numbers are automatically adjusted by taking the size of the document into consideration. Therefore, we cannot make accurate comparisons based on just these absolute frequencies. However, what if Liao (2017) is a 30-page article, while Avolio and Kahai (2003) is a 10-page article? Well then, these results are slightly distorted as there is more data (i.e., there are more quotations) in Liao (2017) in comparison to Avolio and Kahai (2003). Right now, the table is showing us the absolute frequencies of these codes.
Below the table, we can see a preview of these four quotations (and by clicking on any of the quotations, you can see it back in its original document ATLAS.ti always keeps you close to your data!). We can already see that, in comparison to Avolio and Kahai (2003), Liao (2017) talks more about online leaders using referent power. In other words, it seems that Liao (2017) mentions online leaders using referent power four times. You can see that the code “Power: Referent” was used four times in document 4 “Liao (2017)”.
In the above example, we are examining how many times the different types of power were mentioned across two articles from our literature review. View normalized frequency counts and relative frequencies
0 kommentar(er)
