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About PeterTheSbam

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  1. Hi AKshay. That doesn't really help. The problem is that the data have all been coded, so if I exclude the records and re-import the spreadsheet, I'll lose the coding. My current strategy is to attach a classification sheet that says whether or not the case needs to be excluded. Then, once I've linked the classification sheet to the dataset, I can sort on the exclusion criterion, and exclude the relevant records from the analysis. However, the problem I now have is that I don't know how to link the cases in the classification sheet to the cases in the dataset. Is there some way to do it automatically, or do I have to do it manually? Both the dataset and the classification sheet have the same set of email addresses in the first column. More generally, if I have 12 datasets (which I do), all with records from the same cases (and all indexed by the same email addresses), is there some way to tell N-Vivo that each record with the same email address is part of the same case? (Sorry to be so tardy in responding. I had an outdated email in the system and so didn't get a notification when you replied.) Thanks, Peter.
  2. I have a dataset that I imported using excel. It contains 160 records of about 1000 words each. I have hand-coded it. There are a number of records I want to exclude from the final analysis. I want to analyse it a number of ways, including simply producing a hierarchy chart of all the data in one field. I would like to keep the excluded data if possible. Is there some way of doing this, other than uncoding the records I want to exclude? Is there a way to: - Copy the records I don't want to include out of the dataset into a new dataset? - Add a classifier variable, filter by the classifier, and then do the analysis? - If either of these requires me to export the data, can I do so in a way that retains the coding? - Other ideas? Thanks.
  3. I just put a note on an old thread also requesting that you should be able to see what node the text has been coded at by running a mouse over it (or right-clicking it).
  4. Coming back again to this topic. I like the text highlighting. However, the two functions mentioned in Marcus's post would be really valuable. In particular, as someone running a team project, it would be really helpful for me to be able to go through files and see which nodes the individual highlights have been coded at.
  5. Hi Bupesh, I'm not sure you've fully understood what I'm trying to do, so maybe I can try again. I have about 1700 essays to code each semester, and want to repeat the exercise in subsequent semesters. 1) Consequently, when it comes to CODING my data, I would like to be able to "Autocode my data based on existing coding patterns". From my understanding of how the Autocode functionality works, I will get a better result if I code as precisely as possible. 2) However, when it comes to ANALYSING my data, I would like to be able to perform matrix analyses of my data. (For example, I might like to know which respondents talk about teamwork AND a growth mindset.). From my understanding of how the analysis engine works, I can only do this if the entire essay (i.e. the entire cell in the excel spreadsheet) is coded at both nodes. Clearly, these two imperatives are in conflict. Is there some way around it, or do I need to code my data twice, into two separate folders, once for later autocoding and once for analysis?
  6. I have a dataset of student essays - 1700 essays in 20 excel files, which I've imported into NVivo 12 Plus. The database is structured with two files per week and one row per student for each week. There is a set of identifiers (student name, date, etc), with the student ID being the unique identifier in each file (and common across files). There is a node for each weekly essay, with each essay imported as a single excel cell. I want to content analyse the essays for the topics the students talk about. I'm not getting the results I want with machine coding, so I'm going to hand code two of the files (170 essays). Here's the problem: - On one hand I want to analyse the relationship between the codes. (student x talked about topic 1 and topic 2). That suggests attaching the code to the entire cell. - On the other hand, I want to reuse the codes in the future on other files via machine coding. That suggests making the codes as precise as possible. The question is, do I attach the codes to individual sentence fragments, or do I attach them to the entire excel cell? If I attach them to sentence fragments, is there a way of analysing them as if they were attached to the entire cell? Thanks.
  7. I am running a team project in which some of the people coding the data use Macintosh machines, but the main database has to be in NVivo Plus for Windows (so we can machine-code the data). The University has a site licence for NVivo Pro. Do I have any options for running the project other than installing a Windows virtual machine on each of the Mac's?
  8. I have a project which is a longitudinal study of a set of respondents. I want to upload new data from each respondent each week using an excel spreadsheet. N-Vivo treats each spreadsheet as a separate dataset. So, my project will contain several datasets (spreadsheets). I want to autocode the new data, using the coding from the previous week to guide the recognition engine. From reading the help files, it appears that autocoding only occurs within a dataset, not within a project. Is that correct? Does this mean the software only recognises text on the basis of codes within that dataset (e.g. spreadsheet) or does the software recognise codes based on text in all the datasets in the project? I am using N-vivo 11 plus. I can upgrade if that would make a difference.
  9. Our university has a site license for Nvivo Pro, and I have an individual licence for NVivo 11 Plus. Are there any problems with having a group project where some people work using Nvivo12 pro and others use Nvivo 11 plus on the same data? Just to confirm, the Nvivo Pro users would be able to see the autocoding done by Nvivo Plus? Thanks.
  10. I have a spreadsheet of student reflections. Each row contains a set of classifiers (names, week #, etc), and a written reflection by each student, along with peer feedback, marker feedback, and so forth. There are ten rows (and ten reflections) per student. I have a second spreadsheet that contains student marks. There is one row per student with one column per week. I would like to marry to the two datasets. Ideally, I'd map individual columns of the marks spreadsheet (marks for each reflection) to the relevant row of the reflections spreadsheet. However, failing that, I'd like to map an average mark to all ten rows. I would prefer to do the mapping inside N-Vivo if possible. That would allow me to analyse text before it is marked, import marks as they become available, etc. I presume you do this by making a case for each student-week, or a case for each student. I can't work out how to do it beyond that. Can you give me some guidance? Additional points: - There are two spreadsheets, each of which has ~800 records. However, I want to do this exercise every semester for the next five years or so, and there are likely to be more than two classes per semester in future. Consequently, I'd like to do this as automatically as possible. - I'm in Melbourne, so can meet to discuss with you if that's easier.
  11. I would like to attach a classification to a set of nodes. All the nodes are daughters to a super-ordinate node. It would be great if I could just attach the classification to the parent node and click a box to automatically apply it to the daughters, instead of having to do each one individually.
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