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Qualitative data analysis

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After completing the analysis on the quantitative data, I then want to look at the qualitative data as I believe that this would give me better insight of what people actually think creates atmosphere or an atmospheric over the statistical analysis. Just to recap in the questionnaire I asked 5 qualitative questions the first was to identify the image they ranked as most atmospheric and describe the qualities of that image that contributed to that.  The second was to identify the least atmospheric image and identify the qualities of that image that detracted from the atmosphere. The final three questions asked what contributed to an atmospheric image in the realms of composition, about emotions, and technical.  The data was imported into Excel where compiled the data in order to identify themes across each of these five questions. In the case where the respondent listed qualities, I took them at face value and created a node for that quality.  In other cases where I was given descriptio
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Data analysis Part 2

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Finalising data collection  After I had received 125 responses I decided to stop the data collection this would be more than enough to run statistical analysis. I first had to rerun the Cronbach’s Alpha reliability tests to see whether the elements that I had identified was still significant and if there had been any changes in the level of significance.  I decided not to run the test for the elements that gave a reliability score of less than 0.500 as this factor would not be contributing to atmosphere.  The results are as follows (first I identify the objective element next is a list of the photographs that exhibit their element and finally its reliability score): Subject Person 2,5,15,16,17 0.694 Particles 5,8,11,12,13,14,15 0.746 High contrast 1,2,5,7,8,12,13,14,15,18 0.798 Low key images 5,12,13,14,15,18 0.730 depicts outside 1,2,5,6,7,8,9,11,13,17 0.744 Elements obscured 1,12,13,15,18 0.644 Burnt out highlights 1,2,4,7,13,15,18 0.736 Specular highlights 2,4,12,13,14 0.635 Light s
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Peter Zumthor

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 The following is a my interpretation of Peter Zumthors book Atmosphere and how it applies to the realm of photography.  Architecture and the built environment affects more of our senses than an image can each space we enter we feel, smell, perceive temperature air pressure that all change the way that the atmosphere is interpreted.  My reading of this work focuses on the visual aspect. Perception of atmosphere is being able to assess a safe space has been a necessary evolutionary development to ensure survival. The enclosed environment provides protections from capricious nature, a place to rest, develop, grow and not always be on one’s guard.  “an incredible sense of place. An unbelievable feeling of concentration when we suddenly become aware of being enclosed, of something enveloping us, keeping us together holding us”  (ibid pp46) Though modern built environments do not require a survival assessment evolution moves slower than technology, spaces are still judged for friendliness,
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Investigation into colour: part 1

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In my initial research in VIC710 I found that the cinematic images were atmospheric. This was due to the limited number of colours in the image. The argument that was made was that the scenes in the films were two toned replicating the contrast created in black and white images but using two colours. Colour also came out as a factor in my initial data collection so it now seemed prudent to investigate this further.  At the time I had attempted to do some colour grading on images but I was unable to create the same effects of cinematic images. I then had came across a video that went into more depth of colour theory showing how the management of the colours in the image (in this case portraits) in order to create a more pleasing image to the eye (Kustra 2020).  This introduced me to a number of concepts of ways of colouring images using harmonies. For example monochromatic, analogous, complementary, split complementary.      From Kustra (2020) This has certainly inspired me to look at w
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Initial data analysis

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Presently my survey is still live and at the time or of writing I have 85 respondents. I am still emailing photography clubs to contribute to the survey but I thought that the number of responses that I had so far enabled me to conduct some initial analysis of the data. The majority of the respondents have come from Facebook photography groups and photography clubs. Initial data analysis will be conducted in SPSS looking at the quantitative data to see if any themes emerge.  The first test that I conducted was a Cronbach’s alpha test.  This enables me to look at the internal reliability of objective descriptors of the images to see how closely they are related as a group (UCLA ND). I can then consider that the objective descriptor played a part in affecting the atmospherics of the image.   To do this I select all the images that exhibit a certain objective trait such as monochrome, pictures of people, landscapes etc and run the test.  The results (a high reliability) tell me that that
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Where is this all going?

Where is this all going? Up until this point I have not fully decided what the final output of this project would be. In my proposal I had thought would like to create a photo book the number of photos I've taken to represent the topic of atmosphere encompassing all different perspectives that I had researched. But because I had not fully defined it I was leaving myself open to be guided by the outcomes of the project so inflexible in terms of what I create. however, product to launch of my survey I have no real through of what this book would look like. This is when I came across the following quote:  "I don't think books are the wrong format at all. I think they're, They're the best possible format for doing deep thinking, […] the quality of my thought when I'm writing a book […], it's sharper, it's more systematic it's clearer than any other thinking that I do, because I have to wrestle with a big question or topic. I have to build a framework ar
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Personal perspectives of atmosphere Part 3 of the survey construction

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  In the previous two parts of the survey construction I talked about the reasons why I created the survey in the way I did. However, I did not talk about the images that I picked for the participants to rate the atmosphere of and why I pick those images. In this blog post I will cover all 18 images star in the survey why they were selected and in doing so discuss my perspectives of what makes an atmospheric image.  So based on my own perceptions and the research that I conducted in the previous module. I  have come up with certain criteria that I consider contribute to an atmospheric image.  I have defined these elements in the same way that I asked participants to list these in the survey. Composition elements  All elements within the frame must help. To contribute to the story of the image, they must work together in Harmony, or synergy. Partially masked elements.   In relation to atmosphere in its literal sense: low level clouds such as mist and fog and any weather elements that ob
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