Questions related to Diary Studies
- I am looking for an app (Android), which can facilitiate a qualitative, digital ethnography study with a main component of diary entries in form of visual, text and audio.
- I plan to work with 10-20 participants based in Tanzania over a duration of 18 months.
- I have so far primarily used WhatsApp (chat and call for both self-reporting and interview over video/phone) based on the idea of using a tool participants already are familiar with, but it is hard to structure/organise mixed data and many participants.
- I have checked out dScout, Indeemo and FlexMR, but I have different kinds of doubt (approach and budget) + this earlier thread from 2014 https://www.researchgate.net/post/Is_there_an_existing_digital_tool_for_diary_studies
Any suggestions for free apps, apps particularly directed at ethnographic research (and not marketing) are very much welcome as well as any research papers on the use of diary studies combined with digital ethnography (preferably in Africa) and/ or the use of whatsapp in qualitative research in Africa (I am familiar with https://edoc.unibas.ch/51923/1/20161216110618_5853bc9abba73.pdf)
Maybe the community can help me with this question: I am preparing an analysis for a daily-diary study and most of the methodological literature as well as papers on study with similar designs apply a person-based centering before computing a MLM. Most of the time, authors specified that the predictors were centered: I was wondering if there is a rational on why only the predictors and not the outcome variable (also continuous) have to be centered in order to analyze changes on the daily level.
Thank you very much in advance,
I am currently trying to figure out how to use Visual TimePAcTS application for analysing activity data emerging from time use diaries. I am having trouble setting up a database and entering my respondents' data. I was wondering if anyone here has had experience using the Visual TimePAcTS application and if so whether they would mind sharing with me their experience?
Hi, I am new in diary study and intends to analyse them qualitatively. From my search, I found many articles that describe quantitative analysis on diary. Would appreciate if you could suggest one. Thanks
I conducted a diary study. 3 independent judges analysed the data (with thematic analysis) and after deliberation all together now we have 6 categories.
Do I need to do confirmatory factor analysis?
Dear RG community,
I found it a bit confusing on few terms and aspect of study design.
1. From my understanding, longitudinal study is an observational study consist of cohort (prospective or retrospective) and panel study.
How about diary study, is it considered panel study?
How about repeated cross sectional studies that also often referred as longitudinal study?
2. Experimental study consist of before-after (or known as pre-post) or repeated measure interventional study, either randomized or non-randomized. Am i right?
3. For longitudinal study, especially prospective cohort, most references highlight on two group (exposed vs unexposed) with similar baseline and categorical outcome measure.
How about single group cohort with different baseline and outcome continous measure?
4. For longitudinal study especially cohort study, most references talk about months to years of followup duration.
But, for some psychlogical measure such as stress and fatigue, there should be no problem to conduct shorter duration of cohort study e.g. within 8 hours, am i right? For example, we measure baseline stress level prework, and followup the outcome stress messure postwork, i.e. after 8 hours of continous work. Is it appropriate?
Thank you for kind assistance.
Your response is highly appreciated.
Need assistance in determining the lagged effects in a time series of four weeks using R. I need to determine multilevel estimates of the models predicting a lagged effect. What is the syntax that would do this?
I am preparing to conduct a Diary Study as part of my PhD research in the areas of leadership and entrepreneurship.
My desire of course is to start from the strongest foundation possible.
So I turn to our wonderful research community!
Please share with me, the best articles, books, resources you have found.
I am currently designing a diary study and ponder on a good identification code generated by participants so I can match the cases of different measurement occasions.
Does anyone have a reliable code combination which reduces both wrong code input (e.g., asking for size in cm which might get 180 on one day and 181 another day) and too much overlap between people (e.g., last character in mother's first name which is likely to be a vowel)?
Looking for association between Mg intake and various psychological factors.
I noticed the formation of e red pigment on a typical Arabic cheese, this cheese is prepared by Bedouins from the goat milk and conversed in a hyper-saline water, the pigment is formed only when the cheese is exposed to the air (out of water), is it a microbial metabolites? Is this phenomena known for other types of cheese?
I am looking to integrate simple, objective measures of stress into an app-based diary study. Are there currently any apps that could replace, for example, the use of saliva cortisol as a measure of stress? I am trying to design a cost-effective study but also want to include some physiological measures.
I am planning a diary study and want to collect data on the work engagement and on job characteristics of people in the media sector. The participants should self-report their everyday activities over a certain period of time on a daily basis. Has anyone been using something like a web application to collect data like that?
I'm trying to track participants in an individual level over time, in which participants have to report their experience every day.
I'm using Qualtrics for this study. One option is to distribute the survey through email which will allow me to track individual surveys. However, the link could be used only once so I'm not sure how will this work to track a partipant over time.
I would really appreciate your suggestions and help
I have daily level data nested within individuals from a diary study. Let's say I only have hypotheses on between level effects: in this case, is it then always wrong to aggregate the data over the days and use standard OLS type analyses (e.g. correlations)?
I know there are some concerns with aggregation, e.g. it assumes that within variance is zero, gives people with fewer observations relatively more weight).The latter is less of a problem in my data since people reported about equal numbers of observations and quite a lot of them.
But given that I only have expectations on between person effects, is aggregation such a bad thing?
I am analyzing data from a diary study (multilevel modeling) and based on previous research I want to person-mean center my predictor variables. One of my predictors is work-family conflict (WFC) which was measured on five days. I think I need to calculate the mean of WFC over the five days (for each person) and then subtract the mean from each individual score. This produces new centred scores. But then when I want to create the scale scores each person has a score of zero which I don't understand. If everyone has a score of zero then there is no variance. Am I understanding this correctly?
Researching GE's AKTA Pure HPLC unit for the detection of trace proteins in bovine milk. I am looking at getting a result every 5-10 minutes over a duration of 16 hours per day.
With that in mind, is there a better instrument for this purpose?
Thanks in advance for any advice.
In all the Commonwealth of Independent States (CIS) since years is used the Russian Feed Unit for the animal feeding. How to convert it in French Milk and Meat Unit or in TDN? Thank you
I am using an exercise diary to evaluate the effectiveness of my intervention. Now, I am looking for information on how valid this method is, and on how I can check validity of the information given. We know that people cheat (positively to please the researcher) or negatively (they might forget to fill up the diary). I would be glad to receive some references as well.
I am analyzing results from a daily diary study in R using the nlme package. I am using hierarchical linear modelling and am not sure which code to use to examine whether the latter model fits better than the previous model.
I tried the code anova (model1,model2) but it is giving me the following error message: Error in anova.lme(Model1.SigControls.IIP, Null.Model.IIP) :
all fitted objects must use the same number of observations
In addition: Warning message:
In anova.lme(Model1.SigControls.IIP, Null.Model.IIP) :
fitted objects with different fixed effects. REML comparisons are not meaningful.
I am exploring the phenomena of coaching, and I am currently looking at this from an experiential/conversational learning point of view.
I am currently writing up the protocol for a diary study examining trait-behavioural consistency and its relationship with mood. I would like to present 15 items, 3 times a day for 2 weeks. Ideally, I would also like the items to be rotated at random from a slightly larger pool.
I am specifically looking at the best software to use to enable people to fill in the survey from their smartphones, either via email or the use of an app. Does anyone with experience in implementing similar designs have any suggestions?
I must admit I'm not entirely sure whether I want to measure broader aspects of mood/well-being, i.e. negative and positive affect or specific moods, but in the context of a diary study which measures do you think might be most appropriate?
At the moment my choices are PANAS, the UWIST checklist or The Brief mood inspection scale (or perhaps a scale I have missed). Well-being/mood isn't really my area so I'm not sure how to differentiate between the two. In my thoughts I see mood as a more proximal measure and well-being as a distal measure, but the literature I have looked at thus far doesn't seem to support this.