Questions related to Content Analysis
I intend to conduct qualitative research (content analysis using MAXQDA) on identifying factors affecting the success of sales pages on Instagram. The goal is to identify the common features of these pages.
Part of the data source is related to the page itself, which has a relatively static structure, but another part is related to the posts and stories, which are dynamic in nature. Collecting and analyzing static data is relatively easy, but analyzing dynamic data (posts and stories) seems a bit difficult.
Any suggestions on codes and coding would be appreciated.
Thank you in advance.
How to study Oatly's activism, profitability, and impact? Oatly launched dozens of new products in 2021, spent millions on R&D, and is running at a loss. What about the profitability, narratives, and impact of these new products? My guess: new Oatly products have poor sales = impact, narratives, and contributions. What do you think? How to write an article combining managerial accounting analysis, narrative/content analysis about individual products, and social impact analysis of individual products? Have you ever seen Oatly's profitability data by product?
hi, can someone help with possible ways of doing content analysis from annual reports of Indian companies. I am looking at risk disclosure practices of companies and how can i create a risk disclosure score or index to show its impact on corporate governance practices.
Past literature show content analysis via NVivo as a tool.
is thr any other method / tool to calculate risk [financial and operating both] from annual reports?
I read an article and was intrigued by their use of discourse analysis + computational methods to track word use associations. Does anyone know suitable primers for computational content analysis? Also, they use QDA Miner-WordStat, but it's only available on PC are there MAC versions available?
I'm hoping to supplement qualitative discourse analysis with content analysis.
Preface that I am new to NVivo, but eager to learn for a qualitative content analysis ---
When I use NCapture to collect a pdf of a Twitter post, it often does not include all the images. Additionally it collects two "references" (as data points) for that one Twitter post, which doubles the frequency counted under the coded node. NCapture works fine for Facebook and Instagram posts as PDFs, with some odd formatting. But for all three platforms the "coverage", which as I understand it refers to the % of the text that is recognized by NVivo, is not always 100%. So it seems also that NVivo isn't "reading" all the text in each post which will skew word frequency count and queries.
Has anyone else experienced these issues? I'm still learning the software, but this seemed a specific issue. Thanks in advance!
Has anyone got suggestions for types of qualitative analysis that combine inductive and deductive approaches? For a project I'm working on, we identified a relevant pre-existing framework about accessibility maturity with 5 key areas. We've completed semi-structured interviews about strengths and barriers in these 5 areas, and are now analysing the data. I'd like to focus on findings from each of these five areas as the main sections in our report, but also code inductively within each of them to discuss the emergent patterns we've found. Any suggestions for an analysis approach that might suit? I've looked at thematic analysis, content analysis, and framework analysis but none of these seem to fit as we're beginning with a pre-existing framework then coding inductively within it. Thanks for your suggestions!
In the discussion of qualitative content analysis, different writer spoke the different steps in their books. If I use different writers' different steps in my paper depending on the type of work I do, will that be considered correct?
I'm doing a content analysis of news articles covering arrests/reports of intimate partner violence, and the words/phrases used by reporters in their coverage. What are the best FREE tools that can be used (besides Voyant) to track words and frequency, and IDEALLY tone of certain terms and/or sentences used (if this even exists). Although I'm not new to research, I am new to content analysis, so anything helps! Thanks so much.
I am writing my dissertation for female representation of Hollywood female-led films. And I am going to choose one film as my main case study. I would like to analyse the images and character's line to illustrate how gender stereotypes have been both challenged and reinforced in the film. However, I am struggling to choose a methodology for my dissertation. I have read some articles, but I am still confused about which one shall I choose. May I please have some suggestions? Thank you!
I would like to perform content analysis on online reviews I collect from Tripadvisor, Google Reviews, and Facebook, but I am unsure if I need to gain permission from the companies to do so. Based on the numbers of published papers using online reviews, I am assuming it is allowed to be done in some instances. Can anyone who has published a paper using online reviews from any of these companies please let me know if you needed to gain their permission and how you did so? Thank you
Currently doing content analysis, most of the articles use inter-coding agreement tests for content analysis (Agreements of two coders determined using Cohen's Kappa). However, what if a single coder does all the coding themselves? Can we for example test reliability through intra-rater (e.g. coding a subset of data multiple times) using Krippendorff's alpha?
We are conducting a content analysis on Development Communication research in our school. Our aim is to look at what social issues DevCom students tackled in their research paper. Do we need two coders or is it possible to only have one?
We are conducting a content analysis on Development Communication research in our school. Our aim is to look at what social issues DevCom students tackled in their research paper. Do we need two coders or is it possible to only have one?
Currently, I am writing my article based on data extracts from teachers' interviews and video recorded classroom interactions. I developed themes and categories of both data inductively. I am planning to utilise both discourse analysis and content analysist, thinking both methods will give me rooms to describe the results from the two data sources sufficiently. Is it possible to utilise two analytical methods in one article? How do I handle the two methods?
The similarity analysis feature in discourses, is an analytical tool of the IRAMUTEQ software. As a result, a tree diagram is generated which can be configured as a Venn diagram. However, the groups of words by similarity starting from a dominant word to the child words, using the co-occurrence principle. In discourse analysis, the semantic domains are checked and the derived words follow the same principle. In this case, in what aspects does IRAMUTEQ's similarity analysis differ from semantic domains in discourse analysis?
How many subcategories must be created under a major category as a minimum? e.g:
1. LEVEL OF CONTROL
1.1 Flexibility with regard to HR regulations
Is it acceptable to have just one subsection under the main category?
Although the preprints submissions can be interesting to check the repercussions, criticisms and suggestions pointed out, I think that a not very good choice of platform can have limited results. Among the platforms researched, I observed that OSF, Scielo and Elsevier preprints offer a reasonable structure for preprints submissions and analysis. In this sense, I kindly ask for suggestions on which platform may be the most indicated for a preprint submission in the field of social sciences.
Should I use loss and gain by Nozizwe and Ncube or simply a textual analysis?
I'm going to analyze loss of meaning in a translated Punjabi text .
As part of my master's thesis, I am using different media, that I do not want to be subject to the same content analysis. Is it possible to use a different set of categories for different media within the same research paper? Many thanks in advance for your help.
when doing a content analysis if the researcher come across an article which has more than one attribute agenda
- do we count all the agenda attributes in it? (many agenda for one article)
- we count only the dominant attribute agenda? (one agenda for one article)
I am currently studying cross-sectional research design. I have found that these studies are often associated with surveys and structured interviews but can also include other methods such as structured observation, content analysis, official statistics, and diaries (Bryman, 2016). I wonder if the focus group technique can be used in a cross-sectional research design and in what situations it could be classified as such.
Could you help me with literature or examples to resolve this question?
Hi everyone, what are the key steps involved in analysing data using content analysis? is there a paper? I would appreciate if you can share any data?
From a Critical Discourse Analysis perspective, van Dijk (2015) refers to contextual models as evidence of the interface between the knowledge (mental information) about an event and its significance in the discourse. Thus, the remembrance expressed about a "biographical event" is also a signification of episodic memory. Can we state that contextual models evidence the meaning of memory in discourse?
I wish to conduct qualitative research on a topic by using youtube videos related to it as my data for content analysis. Kindly guide me for the same.
I am forming a research team to study a large number of documents. Rather new to qualitative methods of analysis, I am researching available software tools that can support team-based research smoothly, while being user-friendly so that my students can pick it up easily. I have come across MAXQDA and it says on its website that it is an effective software for team work, but given its rather expensive price, I like to make sure if it really says that it is before investing in it. Any idea on this software program and any other would be highly appreciated.
I am looking for studies that have empirically analyzed the practices of persona construction and microcelebrities. I am especially interested in studies that employed (standardized or qualitative) methods of content analysis to examine social media content such as youtube videos/channels or Instagram. Can anyone help?
It seems that interpretivism is for the qualitative methods but what if the content analysis is combining qualitative and quantitative methods?
thank you for reading my quistion and i will appreciate any help. i am doing my master dissertation now which i am investigating gender represenatation in textbooks. my method is content analysis and i will collect data which includes genders of poets, scientists, authours, leaders and so on. i also will look at the appearance of each genders in varied areas. the data will be gathered from texts and pictures and i will interpret it (after analising) in charts and diagrams.
my quistion is does this process considered as qualitative or quantitave or mixed methods? and about the data is it qualitative data or quantitative ?
What is the validity of the use of reliability and validity criteria in content analysis? If that is systematically true, what method is appropriate?
I am conducting a qualitative study on return migration. I am using Nvivo for content analysis to identify determinants of return migration and having a hard time at it. I will appreciate some ideas of what to look for when conducting such a study.
I am trying to do a content analysis of suicidal posts on Facebook. But I am confused a little bit about the variable as to what variables I should focus on. Can anyone help me understand this phenomenon or is there anyone who can help me by providing the already-published sample of the paper on the said topic?
Computer Assisted Qualitative Data Analysis (CAQDAS) like NVivo, Atlas, etc. have become the trend for qualitative studies. But it appears the limitations of CAQDAS still require manual thematic/content analyses by researchers. What is the likely implications?
I am doing a media content analysis of newspapers reporting the overruling
I am currently writing my literature review. I am unsure whether to include abortion related literature or specific literature on Roe vs Wade?
We are looking for a content analysis professional in order to assist us in performing Qualitative Content Analysis using ATLAS.ti software (pay will be discussed). The content to be analyzed is think-aloud sessions recorded during an experiment.
I am a PhD candidate at the Pan-Atlantic University in Lagos, Nigeria. Finding samples of newspaper content analysis in research to help me speed up my research has proven to be a difficult task. I'd appreciate it if someone could direct me to a website or send me samples at firstname.lastname@example.org.
Regards and God bless.
I am considering using Ethnographic Content Analysis for data analysis. Does anyone have any experience of using this method of data analysis? I would be grateful if you could direct me to some useful studies or resources or even better be happy to meet with me directly to discuss this.
I am trying to identify the dimensions, criteria and sub-criteria for my research. I have done qualitative content analysis; line by line coding. I believed this detailed approach to coding enabled me to extract more information that might prove relevant once I will start to analyse a more significant amount of data and the similarities and differences across it. I would like to know if someone can suggest some approach to quantitative content analysis and the validity of the quantitative content analysis to add more value to my research.
In order to analyze the opinion of the experts concerning a specific phenomenon that is going on nowadays, I am collecting social media, web media and traditional media news as data. All data will be in text and analyzed via Quirkos software. This data set will be analyzed to outline their position of them as a reflection of society. My intention is to code the data in a prespecified way, so it can summarize the main 4-5 directions of the phenomenon. I guess, my methodology will be content analysis. However, I cannot find a paper that did the same thing in a relatively simple and straightforward way. Some papers that I have seen so far employ content analysis in a quantitative way. Could you please recommend to me some papers that would meet my expectations? Thank you beforehand.
I'm a Media Studies student actually working on my thesis about body positivity but I'm having a hard time designing my project. I'm considering using two different documentaries : "Gracious Curves" (or Naisenkaari), directed by Kiti Luostarinen and from 1997 and "Embrace" by Taryn Brumfitt which was launched in 2016. Nearly 20 years are separating the two productions so I think it could be interesting to tackle the representation of this (original) movement, far away from what it is mainly known on Instagram, how it changed through a sociocultural perspective and what changed in its reception. Do their different sub-genre (the former, fluid and artistic, the latter, mainstream and educational) could be a problem here ? But, mostly, which method could I use ? Would a content analysis be more doable than a discourse analysis here?
I'm very very lost...
Thanks a lot!
We have been working on a report that would present the current state of clinical ethics consultation/support services in Turkey. As a part of the study, we interviewed ethicists, ethics committee members, and administrators informally to understand their views regarding the subject matter. The interviews are not fully structured although we have a list of questions at hand. By the end of the project, we expect to have talked to 10-12 people. In the interviews we have made so far, we have seen that some people agreed to meet face to face and gave detailed answers to the questions we asked, while some others sent their answers in written form and kept it quite short.
We believe that every information shared with us is valuable, as the practices regarding clinical ethics consultation/support are very limited in Turkey. However, we are confused about how the raw data from those key informants should be presented in an organized manner. How/by what method should we analyze the data in total? Or should we?
Thank you in advance.
Miles and Huberman's formula will be used in content analysis or review writing I would like to know more about it
I am looking for a software or online tool [open source/free version] to use it for content analysis of text data, which should be able to provide a visual connection between words - Similar to Leximancer analysis?
Can anyone recommend please? The analysis tool should be widely accepted for publications.
I am working on environmental and financial performance analysis of selected companies in India while reading several research papers i observed that environmental performance have been measured using content analysis and for measuring financial performance data has been extracted from annual reports.Can i apply panel regression after following content analysis for measurement of one variable.Please clarify.
If content analysis technique would be used and if we code the data then afterwards how we will calculate the final score of corporate sustainability performance. And kindly don't try to mix the term corporate sustainability reporting and corporate sustainability performance. BecauseI already know how to measure corporate sustainability reporting
As per my limited understanding, there are few techniques of analyzing the qualitative data that include
a) thematic analysis
b) content analysis
c) discourse analysis
d) narrative analysis
I am confused about the appropriate use of these techniques in different kind of studies. For example, if we have conducted interviews then we can simply deploy framework or thematic analysis but if we have selected different studies to reach out a new conclusion, what technique should be used?
I am interested in doing research where the content of the last ten years' data of one of the country's leading newspapers will be analyzed.
I am currently doing my undergrad in Marketing Communications and Public Relations, doing a dissertation. I would like to conduct a content analysis of YouTube comments, I am looking for any advice on how to calculate how many comments I will need to create a well established overview for my 10,000 paper.
Any help with be appriciated! Thank you so much.
I am a novice student researcher who is undergoing MA in TESOL at Payap University, Chiang Mai, Thailand. I am carrying out content analysis on the instructional guide for English for upper primary education in Bhutan. It will be great if the seniors and experienced researchers in this field could guide me.
Thank you and wish you a happy new year.
Hello everybody I'm working on a qualitative content analysis research, and I 've finished the coding texts phase. But to avoid bias that might affect reliability and validity I need a another researcher to serve as a second coder to re-code my documents, I need to check if the results match my work or not. Could anyone help?
Thank you all for considering my request
Hi, BA Journalism student here. Planning my UG dissertation. I am looking at news content over the course of the Covid pandemic, a year from the first UK death. How many news articles should I plan to analyse? Any help on explaining how to use a constructed week would also be a great help.
Thanks in advance.
I am thinking of using this software to analyze the responses form 350 respondents in relation to unstructured interview. Want to know more about its usability.
Please comment and suggest.
Usually, literature is analysed by means of textual methods (textual analysis). As I am about to start analysing my selected novels for PhD using a philosophical theory, this question came to my mind.
What should my sample size be for content analysis? I want to run an open ended qualtrics survey to come up with a list of behaviours associated with romantic felt love.
Hello everyone, I am just starting my literature review about the subject and I cannot find an answer to that question. From all I know, no study seems to take the enzyme activity into account when they do stomach content analysis. I must have not understood something basic about that because I know most digestives enzymes are not denatured by freezing them. It does not seem to be a problem in studies that do metabarcoding after visual analysis of stomach content but you always want to keep the specimen as much preserve as you can to avoid DNA degradation.
Thank you for your help.
I have read in Karl Fischer Titration Determination of Water (1984) that the technic is suitable but it also said that its easily soluble in water, so i dont know what to think about.
I can try loss of weight at 250°C but the oven is not always available.
I want to perform sentiment and context analysis for a literature review project. Can you please suggest appropriate tools which can be used for the same?
I have qualitative data gathered using an interview protocol. The purpose of the interview was to explore both contributing and risk factors to the development of hope, self-efficacy, resilience, and extroversion in students. What are the different strategies or content analysis methods that I can see if work for my research study?
Can you recommend an analysis software for content analysis except Nvivo? Are there any of the free softwares suitable for social science research?
Researching the phenomenon of the recent SARS protests and allegations and how this was communicated in the media, particularly exploring the communication difference between media outlet in Nigeria to the UK and US. Traditional broadcast vs. news articles.
Hi, I want to analyse people social identities from forum posts.
For example in a forum post "As a mother, I should look after my children" statement will be a signal of mother identity. I am planning to find out identities until saturation. When I achieved the saturation, I want to claim that these social identities are most salient when people considered do post on forums. It is kind of text analysing. Which method should I use to analyse data? Qualitative content analyses or Thematic analyses or something else?
For my Masters dissertation I am planning to use CA as my research methodology. I have collected all the relevant data I could find to my topic, which includes transcripts of speeches made by government officials and reports. The main problem I am having is that none of the data is relative to each other, yet it is all relative to my research question. Therefore, my difficulty is in finding themes that are common amongst the data, that I can comment on for similarities and differences. I am able to draw out themes and concepts from the transcripts individually and irrespective of one another that are eligible to use in my discussion, but am unable to find patterns amongst the data. My question is; could I apply principles of CA to each piece of data separate from one another and draw things out that I can critically analyse, without having to be too comparative?
I am looking for suggestions of software or otherwise to conduct content analysis of social media posts. The results of content analysis will be triangulated by interviews. I plan to use WhatsApp and Facebook as social media. Participants would be from India.
I wonder if Braun and Clarke’s reflexive thematic analysis method suitable for content analysis or not. Any suggestions, references, or experiences? Thank you in advance
I am starting a research effort about epistemological viewpoints present in a certain corpus of doctoral dissertations, most of them on the field of education. The corpus is related to the Finnish system of Universities of Applied Sciences (or polytechnics, in Finnish "ammattikorkeakoulu").
A significant part of this corpus is based on qualitative research implemented by using combinations of phenomenography and content analysis approaches. Thus my goal is to discuss the possibilities of synthesis especially for this part of my data. Other methodological / theoretical sets of examples will probably appear.
The process will contain the following tentative steps, although it will be iterative in nature:
1) building a systematic bibliography, focused on methodologies, frames of references and the applications as well as limitations of the results
2) reviews of epistemological approaches, frameworks and issues present, summaries of related (pedagogical) applications reported
3) metasyntheses related to used theoretical and methodological frameworks (like phenomenography and content analysis mentioned above)
4) conclusions, experiences and recommendations.
The management of the process and maintaining the quality probably will raise questions and cause problems. The corpus contains around 150 monographs. In Finland the doctoral dissertations are usually published in universities' monograph series, although can be based on papers published in refereed journals. Have you done research relevant to this kind of effort? Would you like to share your experiences? I have of course done and will be doing literature reviews for my proposal, so I am not just asking for references, although they are also welcome.
Qualitative content analysis is a well-known analysis method in qualitative research. However, it was noted that some researchers use this as a research design. Is it appropriate to use as a research design? The same study it uses as an analysis method too. Kindly clarify.......
Can we use the qualitative content analysis method as a research method/design?