this is a challenging issue even for season researchers. In the coming international QR Conference, we have specifically arrange a symposium to directly talk about this.
In this conference, we will set-up an hour of expert-audience interactive platform to discuss this intricate concept.
A dialogue with the following specific issues will be conducted:
1. What is saturation?
2. Are there different types of saturation?
3. How do we reach saturation?
4. What benefit can we achieve with saturation?
5. How do we build rigor in addressing saturation?
6. How do we evaluate if a published work indeed reaches sufficient saturation?
Audience is encouraged to take part in the dialogue.
The panels are our plenary speakers:
Emeritus Prof David Silverman, Emeritus Prof Carol Grbich, Prof Dileep Kumar
while that is correct, there are subtle difference between data saturation, when no new data; thematic saturation, when no new theme, and theoretical saturation, when no new concepts contributes to theory development.
You are right MAdha. This saturation can also be applied when determining your participants - you ask the same question and when you reach the point where everyone's responses are the same, you can stop at that number of people.
Welcome! yes, we need to publish this forum a lot more. Hamidah, you can create a discussion group inviting a discussion challenges of phenomenology studies.
I think this is a good platform for discussion on qualitative methodology as there's still confusion about it and how to go about doing it. I have always found difficulty in explaining to my Masters or PhD students on the difference between a phenomenology and ethnography study in terms of data collection and presentation. My experience examining a phenomenology thesis was not easy due to this. My dissertation was ethnographic in nature. Perhaps someone who did/is doing a phenomenology study could enlighten us.
sorry...am one year late in my response. I just joined as a member so I am browsing through to see what's on QRAM's site. Agree with both masyuk & tsy. My simple thinking ... saturation is a concept where a situation reaches a point where everything is the same, or consistent so therefore there is no need to go any further. Meaning, you can apply this concept in any situation as such...just to add tsf...even in determining the number of samples/participants needed.
Yes, I agree, that would be data saturation. Further, data analysis of the initial interview may leads us to potential data that we could have missed, because new questions may "emerge" or may be thought of. I also wish to add on that there are other forms saturation: theoretical saturation. Some also talk about variation saturation. The following youtube may add on to the clarity. https://www.youtube.com/watch?v=TnnhU9uy4uQ
data saturation is reached when further interviews/ observations do not reveal newer observations. when similar observations are observed from further interviews you can safely stop your interviews and proceed to transcribe, code and generate themes from the observations.
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this is a challenging issue even for season researchers. In the coming international QR Conference, we have specifically arrange a symposium to directly talk about this.
In this conference, we will set-up an hour of expert-audience interactive platform to discuss this intricate concept.
A dialogue with the following specific issues will be conducted:
1. What is saturation?
2. Are there different types of saturation?
3. How do we reach saturation?
4. What benefit can we achieve with saturation?
5. How do we build rigor in addressing saturation?
6. How do we evaluate if a published work indeed reaches sufficient saturation?
Audience is encouraged to take part in the dialogue.
The panels are our plenary speakers:
Emeritus Prof David Silverman, Emeritus Prof Carol Grbich, Prof Dileep Kumar
See you there!
while that is correct, there are subtle difference between data saturation, when no new data; thematic saturation, when no new theme, and theoretical saturation, when no new concepts contributes to theory development.
the following links to an interesting study to just look at saturation point: https://www.researchgate.net/publication/330302501_What_Influences_Saturation_Estimating_Sample_Sizes_in_Focus_Group_Research
You are right MAdha. This saturation can also be applied when determining your participants - you ask the same question and when you reach the point where everyone's responses are the same, you can stop at that number of people.
Saturated points means everyone has said the same thing, agreed on key points, and this is the part we can start writing the findings.
well...let's just open the discussion here. Tq. I noticed the last input was March 2018 so let's try to find time to add in constructive thoughts.
Welcome! yes, we need to publish this forum a lot more. Hamidah, you can create a discussion group inviting a discussion challenges of phenomenology studies.
I think this is a good platform for discussion on qualitative methodology as there's still confusion about it and how to go about doing it. I have always found difficulty in explaining to my Masters or PhD students on the difference between a phenomenology and ethnography study in terms of data collection and presentation. My experience examining a phenomenology thesis was not easy due to this. My dissertation was ethnographic in nature. Perhaps someone who did/is doing a phenomenology study could enlighten us.
sorry...am one year late in my response. I just joined as a member so I am browsing through to see what's on QRAM's site. Agree with both masyuk & tsy. My simple thinking ... saturation is a concept where a situation reaches a point where everything is the same, or consistent so therefore there is no need to go any further. Meaning, you can apply this concept in any situation as such...just to add tsf...even in determining the number of samples/participants needed.
Yes, I agree, that would be data saturation. Further, data analysis of the initial interview may leads us to potential data that we could have missed, because new questions may "emerge" or may be thought of. I also wish to add on that there are other forms saturation: theoretical saturation. Some also talk about variation saturation. The following youtube may add on to the clarity. https://www.youtube.com/watch?v=TnnhU9uy4uQ
data saturation is reached when further interviews/ observations do not reveal newer observations. when similar observations are observed from further interviews you can safely stop your interviews and proceed to transcribe, code and generate themes from the observations.