In search of teaching materials
Locked
 
|
Hello I would be grateful for advice on any good quality teaching materials that I can access for running practical sessions in the use of SPSS with medical students. It would be helpful to gain an idea of available materials to avoid reinventing
the wheel completely, where appropriate. I have deliberately avoided specifying statistical topics, as I simply want to review what is available at this stage. Best wishes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr Margaret MacDougall Medical Statistician and Researcher in Education Centre for Population Health Sciences College of Medicine and Veterinary Medicine Teviot Place University of Edinburgh Edinburgh EH8 9AG Email: [hidden email] Tel: +44(0)131 650 3211 Fax: +44(0)131 650 6909 Personal profile:
http://www.ed.ac.uk/profile/margaret-macdougall The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
|
|
There are an R programmer's website on Github that contains 1147 datasets is csv format and an accompanying Word documenthttps://github.com/vincentarelbundock/Rdatasets http://vincentarelbundock.github.io/Rdatasets/doc/psych/cushny.html http://vincentarelbundock.github.io/Rdatasets/csv/psych/cushny.csv http://vincentarelbundock.github.io/Rdatasets/doc/survival/colon.html Lev(amisole)+5-FU which is now a standard treatment for colon cancer. economics, and other areas may be of interest to others. -Mike Palij New York University On Tue, Apr 17, 2018 at 11:31 AM, MACDOUGALL Margaret <[hidden email]> wrote:
|
|
|
Some datasets are installed with Base R as R workspace files but others are installed with specific R packages. If you have or install the SPSS Statistics STATS GET R extension command via the Extensions > Extension Hub (V24 or later) or the Utilities > Extension Commands (earlier versions) menu, you can enumerate the R workspaces that are already installed on your system. And you can read selected ones into Statistics using that same dialog box. Using File > Get R Workspace, leave the Load an R workspace file button selected, ignore the Browse item, and check the box at the bottom List all installed R package datasets. The output will show all those currently installed. My system currently shows 1007, but most of those were installed with specific packages. I don't know how these relate to the ones posted on Github, but the colon dataset Michael mentions is present on my system. It comes with the survival package. Once you have located a dataset you want to use in Statistics, use the right hand side of the dialog to enumerate the specific contents (R workspaces can be a wild west!) and then select the data frame you want. To read the colon dataset and create a Statistics dataset named colon, the dialog would generate this syntax. STATS GET R DATA="colon" PACKAGE="survival" CLEARENV=NO ALLDATA=YES /GET DATASET=colon DATAFRAME=colon. On Tue, Apr 17, 2018 at 12:52 PM, Michael Palij <[hidden email]> wrote:
|
Re: In search of teaching materials
Administrator
|
In reply to this post by margmacd
Hello Margaret. I think people would be better able to advise you if you
provided a list of learning objectives and told us how much time you'll be given. It would be useful to know not only the total amount of time, but how it will be structured (e.g., how many sessions per week, length of sessions, number of weeks, with or without computer labs, etc.). Having said all that, when it comes to introducing students to the basics of SPSS, you might find the following site useful, and accessible to the students: https://www.spss-tutorials.com/basics/ It is not geared specifically to medicine, but I don't think it has to be if the point is to learn the basics of SPSS. Others have mentioned archives of datasets. Here's another one with datasets from Martin Bland's books and other publications: https://www-users.york.ac.uk/~mb55/datasets/datasets.htm HTH. Bruce margmacd wrote > Hello > > I would be grateful for advice on any good quality teaching materials that > I can access for running practical sessions in the use of SPSS with > medical students. It would be helpful to gain an idea of available > materials to avoid reinventing the wheel completely, where appropriate. I > have deliberately avoided specifying statistical topics, as I simply want > to review what is available at this stage. > > Best wishes > Margaret > > ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ > Dr Margaret MacDougall > Medical Statistician and Researcher in Education > (Senior Lecturer) > Centre for Population Health Sciences > College of Medicine and Veterinary Medicine > Teviot Place > University of Edinburgh > Edinburgh EH8 9AG > > Email: > Margaret.MacDougall@.ac > <mailto: > Margaret.MacDougall@.ac > > > Tel: +44(0)131 650 3211 > Fax: +44(0)131 650 6909 > Personal profile: http://www.ed.ac.uk/profile/margaret-macdougall > > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD > > The University of Edinburgh is a charitable body, registered in > Scotland, with registration number SC005336. > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@.UGA > (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD ----- -- Bruce Weaver [hidden email] http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." NOTE: My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
|
|
In reply to this post by Mike
Excellent, Michael; this should save me time and effort for the time being in preparing datasets! Best wishes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr Margaret MacDougall Medical Statistician and Researcher in Education Centre for Population Health Sciences College of Medicine and Veterinary Medicine Teviot Place University of Edinburgh Edinburgh EH8 9AG Email:
[hidden email] Tel: +44(0)131 650 3211 Fax: +44(0)131 650 6909 Personal profile:
http://www.ed.ac.uk/profile/margaret-macdougall From: Michael Palij [mailto:[hidden email]]
There are an R programmer's website on Github that contains 1147 datasets is csv format and an accompanying Word document that helps to provide information about the data, including relevant references (for nominal/ordinal data, info on the coding scheme is provided). One entry point to these data is: Note that the website says that these datasets should be available if you have Base R installed on your machine. Perhaps Jon Peck can say whether these are included in however the SPSS to R connection is set up. In any event, given that all of the datasets are in CSV format, it is trivial to import into any version of SPSS and add variable labels and value labels either through syntax or the variable info on the SPSS data window. There is a wide variety of datasets from various areas, including medicine. Of historical interest, the sleep medication data that Student (Gosset) used in his 1908 "probable error of the mean" paper which introduced the "t-test" (NOTE: Gosset called it a small sample z-test and did not become the t-test until Fisher's work on it, published in 1925 -- for a short while it was called Fisher's t-test until the honorific was transferred to Student -- in actuality, Student 1908 introduced the direct difference method while Fisher would extend the t-test to independent groups). The sleep medicine data was originally published by Cushny & Peebles (1905 - reference is given on website) and this is the complete dataset (i.e., control group no med, Med 1, Med 2, and differences between meds and control group) not the reduced dataset that Student presented (i.e., diff of control-Med 1, and diff of control-Med2; Student was focusing on a difference between differences expressed as additional hours of sleep relative to the control group's sleep duration). See: And the csv data set can be obtained here: Of more medical interest is the colon cancer dataset by Moertel et al (1990) that allows one to do various analyses, including a time to recurrence of cancer or death; see: I may be mistaken but I believe that the medical significance of this data and analysis was the demonstration of the beneficial effects Standard datasets (e.g., Holzinger cognitive variables) from psychology, economics, and other areas may be of interest to others. -Mike Palij New York University On Tue, Apr 17, 2018 at 11:31 AM, MACDOUGALL Margaret <[hidden email]> wrote:
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
Re: In search of teaching materials
|
Margaret If you don't specifically need medical data, the SPSS tutorials on my site are aimed at absolute beginners. They can be easily followed without access either to data or to SPSS. Hope this helps. John F Hall MA (Cantab) Dip Ed (Dunelm) [Retired academic survey researcher] Email: [hidden email] Website: Journeys in Survey Research Course: Survey Analysis Workshop (SPSS) From: SPSSX(r) Discussion <[hidden email]> On Behalf Of MACDOUGALL Margaret Excellent, Michael; this should save me time and effort for the time being in preparing datasets! Best wishes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr Margaret MacDougall Medical Statistician and Researcher in Education Centre for Population Health Sciences College of Medicine and Veterinary Medicine Teviot Place University of Edinburgh Edinburgh EH8 9AG Email: [hidden email] Tel: +44(0)131 650 3211 Fax: +44(0)131 650 6909 Personal profile: http://www.ed.ac.uk/profile/margaret-macdougall From: Michael Palij [[hidden email]] There are an R programmer's website on Github that contains 1147 datasets is csv format and an accompanying Word document that helps to provide information about the data, including relevant references (for nominal/ordinal data, info on the coding scheme is provided). One entry point to these data is: Note that the website says that these datasets should be available if you have Base R installed on your machine. Perhaps Jon Peck can say whether these are included in however the SPSS to R connection is set up. In any event, given that all of the datasets are in CSV format, it is trivial to import into any version of SPSS and add variable labels and value labels either through syntax or the variable info on the SPSS data window. There is a wide variety of datasets from various areas, including medicine. Of historical interest, the sleep medication data that Student (Gosset) used in his 1908 "probable error of the mean" paper which introduced the "t-test" (NOTE: Gosset called it a small sample z-test and did not become the t-test until Fisher's work on it, published in 1925 -- for a short while it was called Fisher's t-test until the honorific was transferred to Student -- in actuality, Student 1908 introduced the direct difference method while Fisher would extend the t-test to independent groups). The sleep medicine data was originally published by Cushny & Peebles (1905 - reference is given on website) and this is the complete dataset (i.e., control group no med, Med 1, Med 2, and differences between meds and control group) not the reduced dataset that Student presented (i.e., diff of control-Med 1, and diff of control-Med2; Student was focusing on a difference between differences expressed as additional hours of sleep relative to the control group's sleep duration). See: And the csv data set can be obtained here: Of more medical interest is the colon cancer dataset by Moertel et al (1990) that allows one to do various analyses, including a time to recurrence of cancer or death; see: I may be mistaken but I believe that the medical significance of this data and analysis was the demonstration of the beneficial effects Standard datasets (e.g., Holzinger cognitive variables) from psychology, economics, and other areas may be of interest to others. -Mike Palij New York University On Tue, Apr 17, 2018 at 11:31 AM, MACDOUGALL Margaret <[hidden email]> wrote:
===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
|
|
Many thanks for the kind suggestion, John. However, it is imperative that I centre my teaching around real-life case scenarios in
medicine or allied health sciences. Best wishes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr Margaret MacDougall Medical Statistician and Researcher in Education Centre for Population Health Sciences College of Medicine and Veterinary Medicine Teviot Place University of Edinburgh Edinburgh EH8 9AG Email:
[hidden email] Tel: +44(0)131 650 3211 Fax: +44(0)131 650 6909 Personal profile:
http://www.ed.ac.uk/profile/margaret-macdougall From: John F Hall [mailto:[hidden email]]
Margaret If you don't specifically need medical data, the SPSS tutorials on my site are aimed at absolute beginners. They can be easily followed without access
either to data or to SPSS. Hope this helps. John F Hall MA (Cantab) Dip Ed (Dunelm) [Retired academic survey researcher] Email:
[hidden email]
Website:
Journeys in Survey Research Course:
Survey Analysis Workshop (SPSS) From: SPSSX(r) Discussion <[hidden email]>
On Behalf Of MACDOUGALL Margaret Excellent, Michael; this should save me time and effort for the time being in preparing datasets! Best wishes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr Margaret MacDougall Medical Statistician and Researcher in Education Centre for Population Health Sciences College of Medicine and Veterinary Medicine Teviot Place University of Edinburgh Edinburgh EH8 9AG Email:
[hidden email] Tel: +44(0)131 650 3211 Fax: +44(0)131 650 6909 Personal profile:
http://www.ed.ac.uk/profile/margaret-macdougall From: Michael Palij [[hidden email]]
There are an R programmer's website on Github that contains 1147 datasets is csv format and an accompanying Word document that helps to provide information about the data, including relevant references (for nominal/ordinal data, info on the coding scheme is provided). One entry point to these data is: Note that the website says that these datasets should be available if you have Base R installed on your machine. Perhaps Jon Peck can say whether these are included in however the SPSS to R connection is set up. In any event, given that all of the datasets are in CSV format, it is trivial to import into any version of SPSS and add variable labels and value labels either through syntax or the variable info on the SPSS data window. There is a wide variety of datasets from various areas, including medicine. Of historical interest, the sleep medication data that Student (Gosset) used in his 1908 "probable error of the mean" paper which introduced the "t-test" (NOTE: Gosset called it a small sample z-test and did not become the t-test until Fisher's work on it, published in 1925 -- for a short while it was called Fisher's t-test until the honorific was transferred to Student -- in actuality, Student 1908 introduced the direct difference method while Fisher would extend the t-test to independent groups). The sleep medicine data was originally published by Cushny & Peebles (1905 - reference is given on website) and this is the complete dataset (i.e., control group no med, Med 1, Med 2, and differences between meds and control group) not the reduced dataset that Student presented (i.e., diff of control-Med 1, and diff of control-Med2; Student was focusing on a difference between differences expressed as additional hours of sleep relative to the control group's sleep duration). See: And the csv data set can be obtained here: Of more medical interest is the colon cancer dataset by Moertel et al (1990) that allows one to do various analyses, including a time to recurrence of cancer or death; see: I may be mistaken but I believe that the medical significance of this data and analysis was the demonstration of the beneficial effects Standard datasets (e.g., Holzinger cognitive variables) from psychology, economics, and other areas may be of interest to others. -Mike Palij New York University On Tue, Apr 17, 2018 at 11:31 AM, MACDOUGALL Margaret <[hidden email]> wrote:
===================== To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except
the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
| Free forum by Nabble | Edit this page |