New column in heading in variable view 19.0

[msherman]

Dear list: Upon looking at the data editor under variable view (with IMB SPSS Statistics 19.0) I noticed a new column headed with ROLE  with the following options available

input

target

both

none

partition

split

 

I have been unsuccessful in figuring out what these options refer to. Does anyone have a clue?  Thanks,  martin sherman

[Jon K Peck]

Role is a new attribute that can be used in some recent procedures to select variables into appropriate slots automatically in order to save the user time.  Its usage is similar to the way Role is used in SPSS Modeler, but it is only used in a few procedures.  There is a preference item in Edit>Options>General on whether to use this or not.  You can see it in Data>Prepare Data for Modeling, which is in the Data Preparation Option and in Analyze>Regression>Automatic Linear Modeling.

HTH,
Jon Peck





Jon Peck
Senior Software Engineer, IBM
[hidden email]
312-651-3435



From:        Martin Sherman <[hidden email]>
To:        [hidden email]
Date:        01/23/2011 06:27 PM
Subject:        [SPSSX-L] New column in  heading in variable view 19.0
Sent by:        "SPSSX(r) Discussion" <[hidden email]>

---

Dear list: Upon looking at the data editor under variable view (with IMB SPSS Statistics 19.0) I noticed a new column headed with ROLE  with the following options available
input
target
both
none
partition
split
 
I have been unsuccessful in figuring out what these options refer to. Does anyone have a clue?  Thanks,  martin sherman

[Johnny Amora]

I used bootstrap method to estimate a model.  A note appeared in the analysis summary of the text output as follows:

 

Refitting the model without applying a bias correction to the sample variances and covariances.

 

What does this note means?

 

Thank you.

 

Johnny T. Amora

Statistician, Center for Learning and Performance Assessment
De La Salle-College of Saint Benilde
Manila, Philippines

[Bruce Weaver]

Oh dear...I just had a horrible vision of something like the Microsoft Paper-Clip popping up, saying, "So...I see you want to run a regression model!"  :-O

Jon K Peck wrote

Role is a new attribute that can be used in some recent procedures to
select variables into appropriate slots automatically in order to save the
user time.  Its usage is similar to the way Role is used in SPSS Modeler,
but it is only used in a few procedures.  There is a preference item in
Edit>Options>General on whether to use this or not.  You can see it in
Data>Prepare Data for Modeling, which is in the Data Preparation Option
and in Analyze>Regression>Automatic Linear Modeling.

HTH,
Jon Peck





Jon Peck
Senior Software Engineer, IBM
[e-mail]
312-651-3435



From:   Martin Sherman <[e-mail]>
To:     [e-mail]
Date:   01/23/2011 06:27 PM
Subject:        [SPSSX-L] New column in  heading in variable view 19.0
Sent by:        "SPSSX(r) Discussion" <[e-mail]>



Dear list: Upon looking at the data editor under variable view (with IMB
SPSS Statistics 19.0) I noticed a new column headed with ROLE  with the
following options available
input
target
both
none
partition
split

I have been unsuccessful in figuring out what these options refer to. Does
anyone have a clue?  Thanks,  martin sherman

[Jon K Peck]

Roles are set by the user.  Currently, these simply make initial settings in some dialog boxes.  But if the roles are set correctly, it becomes possible to automate and raise the level of abstraction of repetitive tasks.  For example, you might need to produce a standard set of analyses/reports across a variety of datasets that may have a similar structure but vary in the exact variables they contain or other details.  By abstracting the logic of a job to use roles, measurement levels, custom attributes and other properties, you can reduce the number of versions of a job that need to be developed and maintained.

I have seen customer sites where there are huge numbers of job files - syntax, templates, macros, scripts, etc - that are very similar but duplicated and modified, because  the variables coming in are a little different or the coding of variables is a little different.  Once you build a big set of jobs like this, making improvements or bug fixes becomes a nightmare.

The long standing macro facility provides some possibilities for abstraction, but it is static and can't use the metadata available in a dataset.  In contrast, the SPSSINC SELECT VARIABLES command allows you to define sets of variables based on the metadata rather than just a list of names.  It can use explicit names, patterns in names, measurement level, type (numeric vs string), custom attributes, and, finally, role, to define sets of variables that can be used in the job.  Of course, you could write your own code to use this sort of information, but SELECT VARIABLES can do a lot of this without the need to learn programmability.

So, suppose you have a standard questionnaire that is used in many studies, but it has a few custom questions that vary from study to study.  You need to produce tabulations and estimate similar models for these studies.  By intelligent use of the metadata, including role, you can perhaps have one master job rather than dozens.  This leaves the analyst or researcher free to focus on the brainwork part of the job rather than the tedious mechanical and error prone parts.

In summary, it's all about generalization and automation.  Role is just one more attribute that can be used in this effort.
SPSSINC SELECT VARIABLES can be obtained from the SPSS Community at www.ibm.com/developerworks/spssdevcentral and requires the Python Programmability plugin/essentials.

Regards,

Jon Peck
Senior Software Engineer, IBM
[hidden email]
312-651-3435



From:        Bruce Weaver <[hidden email]>
To:        [hidden email]
Date:        01/24/2011 07:19 AM
Subject:        Re: [SPSSX-L] New column in  heading in variable view 19.0
Sent by:        "SPSSX(r) Discussion" <[hidden email]>

---

Oh dear...I just had a horrible vision of something like the Microsoft
Paper-Clip popping up, saying, "So...I see you want to run a regression
model!"  :-O



Jon K Peck wrote:
>
> Role is a new attribute that can be used in some recent procedures to
> select variables into appropriate slots automatically in order to save the
> user time.  Its usage is similar to the way Role is used in SPSS Modeler,
> but it is only used in a few procedures.  There is a preference item in
> Edit>Options>General on whether to use this or not.  You can see it in
> Data>Prepare Data for Modeling, which is in the Data Preparation Option
> and in Analyze>Regression>Automatic Linear Modeling.
>
> HTH,
> Jon Peck
>
>
>
>
>
> Jon Peck
> Senior Software Engineer, IBM
> [hidden email]
> 312-651-3435
>
>
>
> From:   Martin Sherman <[hidden email]>
> To:     [hidden email]
> Date:   01/23/2011 06:27 PM
> Subject:        [SPSSX-L] New column in  heading in variable view 19.0
> Sent by:        "SPSSX(r) Discussion" <[hidden email]>
>
>
>
> Dear list: Upon looking at the data editor under variable view (with IMB
> SPSS Statistics 19.0) I noticed a new column headed with ROLE  with the
> following options available
> input
> target
> both
> none
> partition
> split
>
> I have been unsuccessful in figuring out what these options refer to. Does
> anyone have a clue?  Thanks,  martin sherman
>
>


-----
--
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.

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