I've just started using SPSS after using R for about five years (I'm not happy about it, but you do what your boss tells you). I'm just trying to do a simple count based on a categorical variable.
I have a data set where I know a person's year of birth. I've recoded into a new variable so that I have their generation as a categorical variable, named Generation. I also have a question that allows for multiple responses. I want a frequency of how many times each response was collected.
I've created a multiple response variable (analyze>multiple response > Define variable sets). However, when I go to create crosstabs, the Generation variable isn't an option to select. I've tried googling, but the videos I have watched have the row variables as numeric.
Here is a google sheet that shows what I have and what I'm looking to achieve:
https://docs.google.com/spreadsheets/d/1oIMrhYv33ZQwPz3llX9mfxulsxsnZF9zaRf9Gh37tj8/edit#gid=0
Is it possible to do this?
First of all, to double check, when you say you go to crosstabs, is this Analyze > Multiple Response > Crosstabs (and not Analyze > Descriptive Statistics > Crosstabs)?
Second, with multiple response data, you are much better off working with Custom Tables. Start by defining the set with Analyze > Custom Tables > Multiple Response Sets. If you save your data file, those definitions are saved with it (unlike the Mult Response Procedure).
Then you can just use Custom Tables to tabulate mult response data pretty much as if it were a regular variable, but you have more choices about appropriate statistics, tests of significance etc. No need in the CTABLES code to explicitly list the set members.
Try CUSTOM TABLES, although this is an additional add-on modules that you need to have a licence for:
CTABLES /TABLE Generation[c] by (1_a+ 1_b + 1_c)[s][sum f8.0 'Count'].
Related
I've been working on building a data analysis sheet, which is quite verbose at the moment and a bit more complicated than it should be as I've been trying to figure this out. Please note, I work doing student data in a school.
Basically, I have two sets of input data:
Data imported from a CSV file that includes test data and codes for Common Core Standards and the questions tied to those standards as a whole class summary
Data imported from a CSV file that includes individual scores by question
I am looking to construct 2 views:
A view that collates and displays data of individual standards per student that includes a dropdown to change the standard allowing a teacher to see class performance by standard in a broad view. The drop-down is populated dynamically from the input data (so staff could eventually dump data and go directly to reports)
A view that collates and displays data of individual students broken down by performance on each standard allowing a teachers to see the broader spectrum for each student. The student drop-down is populated from Source list 2.
I have been able to build the first view, but am struggling with the second. I've been able to separate the question codes and develop strings of cell references to the scoring data, including a dynamic reference to the row the selected student's score data appears on in the second source set from above.
I tried to pass through an indirect() formula into a sum() so as to process for a mean evaluation, and have encountered errors. I think SUM() doesn't process comma-separated cell reference lists from Indirect() [or in general] or there is something that I am missing to help parse it. Here is the formula I have tried:
=Sum(vlookup(D7,CCCodeManip!$A:$C,3,false))
CCCodeManip!C:C includes the created text (based on the dynamic standards and question codes, etc), here's an example of what would be found there:
'M-ADI'!M17, 'M-ADI'!N17, 'M-ADI'!O17, 'M-ADI'!P17, 'M-ADI'!Q17, 'M-ADI'!R17, 'M-ADI'!J17
I need these to be dynamic so that teachers can input different sets of standards, question, and student data and the sheet automatically collates and reports it in uniform ways (with an upward bound of 20 standards as I currently have it built)
Here is a link to the sheet I built, with names and ID anonymized. There's a CRAP TON of sub-tabs, and that's really just being able to split apart and re-combine data neatly without things error-ing out due to data overlapping, aside from a few different attempts and different approaches to parse the cell reference strings.
The first two tabs are the current status of the data views. I plan to hide a bunch of the functional stuff that is there to help pull data accurately.
The 3rd and 4th tab are the source data sets. 5th is a modified version of source data that allows me to reference things better, and I've tried to arrange the sheets most relevant towards the front of the set.
https://docs.google.com/spreadsheets/d/1fR_2n60lenxkvjZSzp2VDGyTUO6l-3wzwaV4P-IQ_5Y/edit?usp=sharing
Some have a different approach? I am aware that I might be as far as I cn go with this and perhaps should consider scripts - my coding experience is a bit out of date and my strength is more with the formulas, but I can dig into things with some direction, if anyone can help.
Ok so I noticed something.
It seems the failure is in the indirect reference:
=indirect(CCCodeManip!C3)
The string I am trying to parse via indirect is going to be generated into something like this, dynamic from reference to other data:
'M-ADI'!M17, 'M-ADI'!N17, 'M-ADI'!O17, 'M-ADI'!P17, 'M-ADI'!Q17, 'M-ADI'!R17, 'M-ADI'!J17
The indirect returns the error that the above string is not a cell reference with the #REF code.
Can someone give me a clue as to what is causing this? I am going to dig into the docs on Indirect() from google and will post anything that I find.
Perhaps it is that indirect() can't handle lists, but only specific references and arrays, which may require me a to build a sheet to do the SUM formula on for each question set (?)
So I think I figured it out, but i Ended up parsing the data differently, basically doing the sum based on individual cell references and a separate sum formula, bypassing the need to do it all at once, it jsut makes my sheets a lot dirtier! I am eventually going to see if code could do it better if I need to, but this is closed for now.
Basically, I did individual cell references to recall scores in a row, then used a separate SUM formula, and created references / structures to be able to pull those sum() results. Achieves the same end, but with extra crap on the sheet.
I'm currently working with Google Sheets to import data from Contact Form 7 in Wordpress. All the data is coming over fine, but I wanted to see about formatting it in more user friendly fashion. I've simplified the example a bit, but the gist of the form I have created allows the user to request multiple versions of a graphic file with different wording as needed, up to 5(my example has just 2 for simplicity sake).
All the data is imported using the CF7 variables and ideally I wanted to clean this up a bit. What I had thought of as a solution was creating a second sheet that pulls in this data submitted in the first sheet into a more user friendly format, as I intended to use this as a work form for a designer to create the requested graphic once the data is received. With each request the name/department/email/date all stay the same, but I'd like to display the version and line 1 and 2 data on another line. Is it possible to reorganize data like this on the fly, so when a new form is submitted and adds data to sheet 1, sheet 2 would then update with the properly formatted info?
Is this even possible to do? I did some looking online, but didn't anything that really related to this type of data manipulation.
Solution:
Here's what ended up working for my example
=ArrayFormula(QUERY({
Sheet1!A2:D,Sheet1!E2:G,ROW(Sheet1!A2:A);
IFERROR(LEN(Sheet1!A2:D)/0),Sheet1!H2:J,ROW(Sheet1!A2:A);
IFERROR(LEN(Sheet1!A2:D)/0),Sheet1!K2:M,ROW(Sheet1!A2:A);
IFERROR(LEN(Sheet1!A2:D)/0),Sheet1!N2:P,ROW(Sheet1!A2:A);
IFERROR(LEN(Sheet1!A2:D)/0),Sheet1!Q2:S,ROW(Sheet1!A2:A)
},"select Col1,Col2,Col3,Col4,Col5,Col6,Col7 where Col5<>'' order by Col8",1))
Yes, it's possible.
One way is to use arrays and the QUERY function.
For simplicity, let say that
Columns A and B have the general information of the order
Columns C and D have the data for version 1
Columns E and F have the data for version 2
Columns G and H have the data for version 3
On the output sheet, add the headers.
Below of them add a formula like the following:
=ArrayFormula(QUERY({A2:B,C2:D,ROW(A2:A);IFERROR(LEN(A2:B)/0),E2:F,ROW(A2:A);IFERROR(LEN(A2:B)/0),G2:H,ROW(A2:A)},"select Col1,Col2,Col3,Col4 where Col3<>'' order by Col5"))
References start on row 2 to skip the headers to avoid to include them on the output sheet.
ROW(A2:A) is used to keep the order
IFERROR(LEN(A2:B)/0) is a "trick" used to "hide" the order (general information) data for the second and following rows for the same order. On the select parameter of the QUERY function, it's referrey as Col5 on the order by clause.
It's assumed that lookup-choice-1 will never be empty.
NOTES:
If more columns were added, the column numbers should be updated accordingly
Don't use the order by clause to sort the result by the general information columns because the "trick" to hide the "labels". If you need to apply a sort, do it' before applying the above formula, you could do this by sorting the source range through the Data > Sort range... feature, so the data is sorted before it's transformed by the above formula.
See also
Sort and filter your data, an official help article describing Data > Sort range...
I am having a hard time generating precisely the frequency table I am looking for using SPSS.
The data in question: cases (n = ~800) with categorical variables DX_n (n = 1-15), each containing ICD9 codes, many of which are the same code. I would like to create a frequency table that groups the DX_n variables such that I can view frequency of every diagnosis in this sample of cases.
The next step is to test the hypothesis that the clustering of diagnoses in this sample is different than that of another. If you have any advice as to how to test this, that would be really appreciated as well!
Thanks!
Edit: My attempts:
1) Analyze -> Descriptive Statistics -> Frequencies; then add variables DX_n (1-15) and display frequency charts. The output is frequencies of each ICD9 code per DX_n variable (so 15 tables are generated - I'm hoping to just have one grouped table).
2) I tried adjusting the output format to organize by variable and also to compare variables but neither option gives the output I'm looking for.
I think what you are looking for CTABLES. It can do parallel columns of frequencies, and it includes a column proportions test that can see whether the distributions differ
Thank you, JKP! You set me on exactly the right track. I'm not sure how I overlooked that menu. Just to clarify in case anyone else comes along needing to figure this out:
Group diagnosis variables into a multiple response set using Analyze > Custom Tables > Multiple Response Sets. Code the variables as categories.
http:// i.imgur.com/ipE9suf.png
Create a custom table with your new multiple response set as a row and the subsets to compare as columns. I set summary statistics to compute from rows and added the column n% column (sorted descending).
http:// i.imgur.com/hptIkfh.png
Under test statistics, include a column proportions z-test as JKP suggested.
http:// i.imgur.com/LYI6ZRl.png
Behold, your results:
http:// i.imgur.com/LgkBA8X.png
Thanks again, and best of luck to anyone else who runs across this.
-GCH
p.s. Sorry everyone, I was going to post images but don't have enough reputation points yet. Images detailing the steps in the GUI can be found at the obfuscated links above.
I am having a questionnaire and I am trying to analyze it in the SPSS, the question is:
What are the benefits of the Implementation:
1. Fast
2. Time Saving.
3.Reduce Cost.
How to handle this in SPSS.
I have created a variable called Benefits and in the values, I added them. Now, in the Data View how to choose multiple answers?
Thanks
The usual approach is to treat this as a multiple response question. It could be a multiple dichotomy where you have a yes/no variable for each possible response. Alternatively it could be a multiple response set where you list the first k responses. The Custom Tables option provides the most flexibility here, but there is also a MULT RESPONSE procedure in the Base if you don't have Custom Tables. The Chart Builder can also handle multiple response sets.
HTH,
Jon Peck
May be this is not the "sophisticated way" but...
If I understand your question correct: 1. you want to now, how to add these values into SPSS and 2. You want to know, how to work with this data.
Actually by 3 value options you have 9 groups: 1. fast AND time saving AND reduce cost; 2. fast AND time saving NO reduced costs; 3. fast No time saving No reduced costs... and so to group 9: NO fast NO time saving NO reduce costs.
1: SPSS is similar to excel. In the "variable view" (below, left) you create a new variable, e.g. "Benefits". Then you click on "Label" and write "1" for "fast/time saving/reduce costs", "2" for "fast/timesaving", 3 for...
Then you go to "data view" and enter the corresponding values.
2: At the end you will have 9 groups and can perform an ANOVA test. Or you can "recode" the "Benefits" variable to a set of dummy variables, such as "fast" whereby every group which contained the anser "fast" is coded as "1" and the rest as "0"; and so on.
I hope it helps!
Best,
Eugene
I am successfully able to read and print the contents of a text file. My text file contains 5 data entries such as
Rashmi 120
Prema 900
It must sort only the integers in descending order and swap the respective names attached to them. the first column of serial number must remain the same. Each time a new entry is made that score must be compared to the existing 5 records and placed accordingly with new name and score.
Since this is blackberry programming and blackberry APIs don't support Collections.sort,please tell me how do I do this. I tried using SimpleSortingVector but I am unable to put it into coding form.
i believe u need to start with your own logic like
1) sorting depends on comparison
2) before making any comparison u need to split each string by spaces
3) after splitting save the name and numbers in different arrays
4) compare the numbers and accordingly do sorting
5) after this merge the array contents using indexing
m just giving u a way may be its not the perfect but drilling down may refine logics and usage of the api