Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382022-02-08T11:05:45ZUnderstanding Society User Support
Redmine Understanding Society User Support - Support #1655 (Resolved): Household income in Covid surveyshttps://iserredex.essex.ac.uk/support/issues/16552022-02-08T11:05:45ZNatalie Bennett
<p>Hi</p>
<p>Could you advise me on the appropriate way to handle the income data provided in the covid-19 surveys? Am I right to think that the variable '_blhhearn_amount' would have to be multiplied by '_blhhearn_period' to standardise all of the amounts given to reflect the same time period? In addition, in the main survey there is a 'ieqmoecd' variable so that households can be compared. Is anything similar available in the covid survey data?</p>
<p>Many thanks</p>
<p>Natalie</p> Understanding Society User Support - Support #1495 (Resolved): Zero weights in the extra five min...https://iserredex.essex.ac.uk/support/issues/14952021-01-29T17:10:14ZNatalie Bennett
<p>Hi, I am using wave 3 extra five minutes sample participants in my analysis only. I am using the specific cross sectional weight given for this sample, but this seems to contain a large number of zero weights. I haven't managed to find an explanation for why there are zero weights in the cross sectional weight for this sample. Is there anything I can read which explains this?</p>
<p>I was wondering if there are any weights available for this sample which do not give some individuals a weight of zero?</p>
<p>Many thanks</p>
<p>Natalie</p> Understanding Society User Support - Support #1455 (Resolved): Inapplicable responses to GHQ-12 a...https://iserredex.essex.ac.uk/support/issues/14552020-12-02T14:34:59ZNatalie Bennett
<p>Hi</p>
<p>I am trying to work out why there is such a high number of ‘inapplicable’ responses to the GHQ-12 and SF-12 mental component individual questions and summary scores (roughly 960) in the extra 5 minutes sample for wave 3. These participants appear to have answered other subjective questions so it does not seem to be because they did not respond to the individual survey or were a proxy. Could you help me to understand why these participants responses are recorded as ‘inapplicable’ for these questions, rather than ‘missing’, or point me in the direction of the document which explains this?</p>
<p>Many thanks</p>
<p>Natalie</p> Understanding Society User Support - Support #1442 (Resolved): Calculating change in the extra 5 ...https://iserredex.essex.ac.uk/support/issues/14422020-11-18T10:59:06ZNatalie Bennett
<p>Hello, I have been trying to calculate how the extra 5 minutes sample size changes from wave 1 to wave 3. Because the low density area identifier, gps comparison and ethnic minority boost identifiers aren’t available in subsequent waves indresp files, I merged these in to the later waves indresp files from wave 1. After having done this I have two questions:</p>
<p>1- Why do the totals of the LDA, GPS comparison and EMB samples add up to more than the extra 5 minutes sample total (using the extra 5 minutes identifier)? I found this to be the case for waves 1, 2 and 3.</p>
<p>2- The extra 5 minutes sample appears to gain participants in waves 2 and 3 who weren’t part of the sample in wave 1. For example, in wave 2 I found 6,223 extra 5 minutes sample members (but only 5,479 were from the original wave 1 sample). How did these new participants come to be included? (Apologies if this is detailed in a user guide somewhere, I have had a look but can’t seem to find the detail on this).</p>
<p>Any help on this would be very much appreciated</p>
<p>Many thanks</p>
<p>Natalie</p> Understanding Society User Support - Support #1368 (Resolved): Unmatched households when merging ...https://iserredex.essex.ac.uk/support/issues/13682020-06-23T16:01:07ZNatalie Bennett
<p>Hi I am trying to distribute LSOA identifiers to household level data using wave 3. I have an issue when I merge the c_hhresp file with the c_lsoa11_protect file using the below stata code:</p>
<p>use c_hhresp.dta, clear <br />merge m:1 c_hidp using c_lsoa11_protect.dta</p>
<p>When performing this command I find 7 households from the hhresp file which are not found in the LSOA file, and 6,507 households from the LSOA file not found in the hhresp file.</p>
<p>I haven't been able to identify a reason from looking at the data as to why these data are only found in one file, rather than both. I was wondering if you could confirm if the above merge is correct and if so, what the reason is for these data which cannot be matched?</p>
<p>Many thanks</p>
<p>Natalie</p> Understanding Society User Support - Support #1359 (Resolved): Using the EMB sample independentlyhttps://iserredex.essex.ac.uk/support/issues/13592020-06-11T16:23:03ZNatalie Bennett
<p>Hello, I have a question regarding the EMB sample I am hoping you can help me with? I was hoping to conduct an analysis of the EMB sample using SEM in order to look at the role of racism (using discrimination and harassment modules) as a mechanism affecting mental health (specifically using wave 3 data). However, I have seen in the main stage user guide that the EMB sample should not be analysed independently and that no weight is provided for this. However, a weight is provided for use of the extra five minutes questions (n_ind5mus_xw). I have also seen two papers which as far as I can tell seem to use the EMB sample independently (<a class="external" href="https://www-ncbi-nlm-nih-gov.sheffield.idm.oclc.org/pmc/articles/PMC4984732/pdf/AJPH.2016.303121.pdf">https://www-ncbi-nlm-nih-gov.sheffield.idm.oclc.org/pmc/articles/PMC4984732/pdf/AJPH.2016.303121.pdf</a> and <a class="external" href="https://www.tandfonline.com/doi/pdf/10.1080/1369183X.2018.1539287?needAccess=true">https://www.tandfonline.com/doi/pdf/10.1080/1369183X.2018.1539287?needAccess=true</a>).</p>
<p>I was wondering if you could help me to understand if it is actually possible to perform an analysis only on the boost sample as the two papers mentioned have or if I am misunderstanding something?</p>
<p>Many thanks</p>
<p>Natalie</p>