Home » Countries » India » Regression analysis based on 'Couples' Recode' (interpretation 'Couples' Recode' datafile )
| Regression analysis based on 'Couples' Recode' [message #22477] |
Thu, 18 March 2021 04:48  |
Zoe_C
Messages: 10
Registered: March 2021
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Dear all,
I'm a bachelor student working on a research project where I investigate the possible linkage between frequent exposure to mass media (stratified for television, radio and print media) and individual attitudes on intimate partner violence against women (IPVAW) in India. Using a binary logistic regression analysis, I'll control for a handful of confounding variables such as age, employment, education,...
Based on my readings of the DHS documentation, I'd be using the 'Couples' Recode' for the analysis. However, I'm still somewhat in doubt.... I know this recode is using the couple as the standard unit of analysis and is based on the merging of men and women from respectively the 'Men's Recode' and the 'Individual Recode'. A horizontal line in the dataset is a case (= couple) where for ex. variable V744A gives information about the wife and MV744A gives information about the husband. Is this interpretation correct?
A second question is whether there exists a variable where men are asked the question whether their father ever beat their mother? This question is asked in the domestic violence module for women, however, I can't find a similar question for men in the DHS-VII Recode Manual, however I know that this question must exist.
Kind regards,
Zoë C.
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| Re: Regression analysis based on 'Couples' Recode' [message #22587 is a reply to message #22569] |
Wed, 07 April 2021 14:20  |
Bridgette-DHS
Messages: 3199
Registered: February 2013
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Senior Member |
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Following is a response from DHS Research & Data Analysis Director, Tom Pullum:
To get variables in the IR and MR files that are not already included in the CR file, you can easily merge the CR file with the IR file and then merge the CR file with the MR file. For the CR/IR merge, you sort and match on v001 v002 v003 v024 and keep if _merge==3. For the CR/MR merge, you sort and match on mv001 mv002 mv003 mv024 and keep if _merge==3. In the IR file, only keep the variables needed for the merge and the new variables you want, such as v171b. Similarly, in the MR file, only keep the variables needed for the merge and the new variables you want, such as mv171b. No need to re-copy the variables you already have in the CR file.
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| Re: Regression analysis based on 'Couples' Recode' [message #22623 is a reply to message #22621] |
Mon, 12 April 2021 05:32 |
Zoe_C
Messages: 10
Registered: March 2021
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Thank you very much!
Your explanation of the merging applies to the merging of the HR and CR datafiles right? Because you are mentioning PR or the Person's Recode (file for household members).. I need to merge data for the household and assign it to a certain couple in the couples file, for ex. for each couple (case) I want an extra variable with the associated wealth index of the household they're part of.
Concerning the children of the couples, thank you very much. I'll play around with various variables and determine whether to incorporate it as a explanatory variable or not.
1) I found myself a bit confused about the variables that provide information for the partner or husband. In the case of women, her highest educational attainment is given by V106, for the associated husband, that would be V701. Similarly, employment status of the women is given by V731, that of her husband by V704. BUT, starting from the men's point of view, educational attainment and employment status are given by MV106 and MV73. What are the associated variables for their wives? I've searched through the DHS-VII Recode Manual and the CR datafile of India (NFHS-4) but only come to the conclusion I would again need V701 and V704, but that doesn't seem right is it?
2) I need to determine the marital duration of the couples in the CR file. Both husbands and wives are asked about the year of (first) marriage (resp. S308Y and SM223Y), however this can apply to a marriage other than the current one. Is there a foolproof way to determine the marital age of the couple?
Thank you very much for all your help up until now, truly!
Kind regards,
Zoë Carette
[Updated on: Mon, 12 April 2021 07:24] Report message to a moderator |
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| Re: Regression analysis based on 'Couples' Recode' [message #22663 is a reply to message #22627] |
Mon, 19 April 2021 06:09 |
Zoe_C
Messages: 10
Registered: March 2021
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Member |
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Dear,
Again, thank you so much for all you help. It is such a relief to be able to consult your knowledge on the matter.
My goal is to examine a possible relationship between frequency of mass media exposure (radio, television, print media) and intimate domestic violence attitudes towards married wives in India. Therefore, the CR was the most suitable database, since the unit of analysis is a couple that is currently married and living together. Before carrying out a binary logistic regression analysis, I've successfully merged some indicators (HV024, HV025, HV270, SH34, SH36) from the HR into the CR datafile, so I have some additional variables that provide information about the household the couple is situated in. Furthermore, I reduced the CR file to all couples from which the women participated and successfully completed the questions in the domestic violence module, leaving me with 47514 couples/cases. This reduction was necessary since the variable 'father ever beat mother' (D121 (for women) or SM716 (for men)) is a control variable in my analysis. Another choice is to carry out a binary logistic regression for wives and husbands separately, thus leaving me with two subsamples if you will (one for married wives, and one for married men). I know that the DHS strongly advises to use the 'national men's sample weight' (MV005) for analysis based on the CR file. However, I do still feel some confusion around that topic. Isn't more correct to use the 'national women's sample weight' (V005) for the subsample of wives, and the 'national men's sample weight' (MV005) for the subsample of husbands? Moreover, since I reduced to couples for which the wives participated in the domestic violence module, am I to use the domestic violence weight (D005) as well? More specifically, what weights am I advised to use for the subsample of wives and the subsample of husbands?
Furthermore, I still have missing values for the variable that registers the 'Type of caste or tribe of the household head' (SH36) (3.5%) and quite some 'don't know's' (0.5%). Do I need to narrow down my sample even more to exclude these from the analysis?
Thanks a lot in advance!
Kind regards,
Zoë Carette
[Updated on: Mon, 19 April 2021 06:33] Report message to a moderator |
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| Re: Regression analysis based on 'Couples' Recode' [message #22672 is a reply to message #22663] |
Mon, 19 April 2021 14:51 |
Bridgette-DHS
Messages: 3199
Registered: February 2013
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Senior Member |
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Following is a response from DHS Research & Data Analysis Director, Tom Pullum:
The weight variables (hv005, etc.) mainly correct for the sample design (the over-sampling of small strata and under-sampling of large strata) but they also incorporate adjustments for nonresponse at different levels--households and individuals. Nonresponse is generally more serious for men than for women, and more serious for the DV module than for other parts of the interview. Here's the general hierarchy in terms of the dependent variable in a regression. For the IR data, use v005--except that if your dependent variables comes from the DV module, use d005. For the MR data, use mv005. For the CR file, use mv005, because you need both the woman and the man, and the man is harder to find, so to speak.
If your subfiles of men and women are pulled from the CR file, then I'd say you should use mv005 for both of them, because the women had to appear in the CR file--and d005 for a DV variable. You could probably invent a synthesis of mv005 and d005 but I would not go down that rabbit hole....
We have done some checking, and the effect of using one weight rather than another, when there would seem to be a choice, is trivial. If you SAY which weight you are using, in your write-up, then your findings can be reproduced. Stan Becker at Johns Hopkins has worked on an alternative weight for the CR file and had an article in the journal Demography (also see https://grantome.com/grant/NIH/R03-HD068716-01A1). Mahmoud Elkasabi on the DHS staff is preparing an alternative construction of couple weights and it should eventually appear in the DHS Working Paper series.
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| Re: Regression analysis based on 'Couples' Recode' [message #22675 is a reply to message #22672] |
Tue, 20 April 2021 05:56 |
Zoe_C
Messages: 10
Registered: March 2021
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Member |
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Dear,
Thank you so much for your kind advice. it's truly helping me a lot!
To summarise, I will use mv005 as weight for the subsample of wives, and the subsample of husbands. Since variable D121 (wives) / SM716 (husbands) is asked in the Domestic Violence Module, and needed as a control variable in the binary logistic analysis, I should use d005 as well right? So I've 2 weights to account for. Moreover, I also incorporate the state variable in the analysis, suggesting I'll also need the 'state men's sample weight' (mv005s). Leaving me with 3 possible weights to account for, how am I to do this in SPSS, that only allows to take 1 weight into account via DATA -> WEIGHT CASES of via the complex sample package.
Kind regards,
Zoë Carette
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| Re: Regression analysis based on 'Couples' Recode' [message #22678 is a reply to message #22675] |
Tue, 20 April 2021 09:24 |
Bridgette-DHS
Messages: 3199
Registered: February 2013
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Senior Member |
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Following is another response from DHS Research & Data Analysis Director, Tom Pullum:
You only use a state weight for an analysis that is confined to a specific state, and even then you will be ok with the national weight. State-specific weights are only included in a few surveys and I never use them. As for choosing between mv005 and d005, I would base the choice on the source of the dependent variable. If it's from the MR file, use mv005. If it's from the DV module in the IR file, use d005.
But I also suggest that you do a few regressions with mv005 and exactly the same regressions with d005 (and maybe with the state weights?) to put your mind at ease. You should get very similar results, except that a case will be dropped if the weight variable is NA.
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