Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382015-12-08T10:14:12ZUnderstanding Society User Support
Redmine Understanding Society User Support - Support #462 (Closed): Longitudinal weightshttps://iserredex.essex.ac.uk/support/issues/4622015-12-08T10:14:12ZRory Coulterrcc46@cam.ac.uk
<p>Hi,</p>
<p>I'm conducting a longitudinal analysis of waves 1-5 using the GPS and EMB samples and have a quick question about the correct weight to use. Basically I'm interested in residential mobility between pairs of waves during the W1-5 period but I'm not 100% sure how to specify the correct longitudinal weights.</p>
<p>The User Guide says to take the longitudinal weight (w_indinus_lw in my case I think) from the last wave of data in use and apply this to all waves provided by respondents. However this assumes a balanced panel as only those people interviewed at every wave will end up with a longitudinal weight. Because the number of movers is relatively limited I'd like to also include cases provided by people until they stop responding for the first time. Is this possible and how should I create the weight? Can I for example just create a panel containing only person-years until people stop completing an interview for the 1st time and use their final longitudinal weight value in the analysis?</p>
<p>Thanks in advance. <br />Rory</p> Understanding Society User Support - Support #456 (Closed): comparing across waveshttps://iserredex.essex.ac.uk/support/issues/4562015-11-27T16:55:32ZCarolina Zuccotticarolina.zuccotti@eui.eu
<p>Hello,<br />I wanted to know if it is possible to compare the effect of a variable in wave 1 with its effect in wave 5.<br />For example, has education a stronger effect in the probabilities of employment in 2009/2010 than in 2013/14?<br />At the naked eye, there seems to be a difference in the effect across waves. However, do you know if there might be a way to actually test this?<br />I would need to pool waves I assume. In that case, how should I weight the cases?<br />Many thanks in advance.<br />Carolina</p> Understanding Society User Support - Support #448 (Closed): weightshttps://iserredex.essex.ac.uk/support/issues/4482015-11-16T00:17:28ZVernon Hedgevernonhedge@hotmail.co.uk
<p>I am looking at data exclusively at Wave C Understanding Society c_indresp.sav. I am planning to employ model based inference which may (as needs be) incorporate weight, strata and PSU into the model.
<p>I am having difficulty finding out how the weights were computed. I was hoping to use include the variables by which the weights were calculated within the model and specify PSU as level 2 random effects. I just cannot seem to find how the weights were calculated from Understanding Society documentation.</p>
</p>
<p>All the variables are from the c_indresp file. The 12 are listed here as name, “label”, [position number in variable view of c_indresp.sav]</p>
<p>c_sex_cr “sex (corrected)” [2292],<br />c_age_cr “age (corrected)” [2294],<br />c_birthy “year of birth” [2771], <br />c_big5c_dv “Conscientiousness” [2896],<br />c_big5o_dv “Openness” [2899],<br />c_hiqual_dv “Highest qualification” [2904], <br />c_gwri_dv “Cognitive ability: Immediate word recall: Number of correct items” [2915], <br />c_cgvfc_dv “Cognitive ability: Verbal fluency: Count of correct answers” [2932],<br />c_cgna_dv “Cognitive ability: Numeric ability: Count of items answered correctly”[2935], <br />c_jbnssec8_dv “Current job: Eight Class NS-SEC” [2947],</p>
<p>I am also having difficulty identifying which weight variable would be most appropriate to my analysis according to the w_xxxyyzz_aa scheme (p67 of the User Manual).</p>
<p>I can fill in this much c_indyyzz_xw – i.e., I know I am dealing with wave c only (so c_ and xw) and only with adult (16+) respondents (so ind).</p>
<p>I have identified 4 weight variables relevant to a cross-sectional design in the c_indresp file,</p>
<p>1. c_indpxub_xw “combined cross-sectional adult main or proxy interview weight” [3002], <br />2. c_indinub_xw “combined cross-sectional adult main interview weight” [3003], <br />3. c_indscub_xw “combined cross-sectional adult self-completion interview weight” [3004], <br />4. c_ind5mus_xw “cross-sectional extra 5 minute interview person weight” [3005].</p>
<p>The yy component must be either px, in, sc, or 5m. I think I can exclude 5m, as none of the variables on my list is on the list on Table 25 (p56) of the User Manual. Likewise, viewing Table 24 (p53), I think sc can be excluded.</p>
<p>As for the zz component it is tempting to just use "us" (for “understanding society”?). The user guide advises me that the "us" designation refers to “GPS [General Population Sample] and EMB samples” – is this what is meant by “Mainstage”?</p>
<p>Looking at the “Levels of Analysis” in Table 28 (p62), I think I can exclude level 4 “Adult or youth self-completion”. I cannot, however seem to find information on whether the c_indresp variables I am using are level 3 “Adult proxy and main interview” or level 2 “Adult main interview only (no proxy)”. Using the Understanding Society website to search each variable name they all return “Mainstage Variable”. I cannot tell from this which level of 1 to 4 is the most appropriate to select a weighting variable.</p>
<p>So the two problems I have are 1) identifying which variables were used to calculate survey weights and 2) identifying which ”xw“ survey weight variable is most appropriate to my analysis.</p>
<p>I would be enormously grateful for any clarification.</p> Understanding Society User Support - Support #440 (Closed): Longitudinal Regression Analysis Weightshttps://iserredex.essex.ac.uk/support/issues/4402015-11-01T18:55:41ZEsther Afolalue.f.afolalu@warwick.ac.uk
<p>Hello. I am working on the understanding society database looking specifically at the self-completion questionnaire data for the sleep and health questions. I am carrying out a longitudinal regression analysis to explore the association between change in individual sleep status on the health outcomes from wave 1 – wave 4 controlling for a number of other variables. I just wanted to double-check which longitudinal weight I should apply to the regression analysis – I am thinking ‘d_indscus_lw’? And for descriptive statistics to describe the initial sample at wave one, would I just use the ‘a_indscus_xw’ weighting?</p>
<p>Also, if I wanted to incorporate nurse assessment CRP biomarker data at Wave 2 as a mediator or examine the association from Wave 1 sleep status to Wave 2 biomarker status, which weighting would I apply in this case 'b_indnsus_lw'? And lastly, is there a weighting that’s applicable perhaps to look at the association from Wave 2 biomarker status to Wave 4 sleep?</p>
<p>Thank you,<br />Esther.</p> Understanding Society User Support - Support #437 (Closed): sample design and community establish...https://iserredex.essex.ac.uk/support/issues/4372015-10-28T10:36:42ZPhil Jonesphil.jones@sheffield.ac.uk
<p>Hello,</p>
<p>I'm trying to establish if residents in communal accommodation are sampled in US. I've read the user guide and technical notes which refer to samples being taken of 'residential' addresses using the PAF. Do such residential addresses include residents in communal establishments like nursing homes, student halls of residence, etc.?</p>
<p>I notice that communal establishments/institutions are considered ineligible from the technical notes. In this case what constitutes a communal establishment? Does this mean residents in nursing homes etc are ineligible, or does such an establishment refer to non-residential establishments, e.g. guest houses, hotels, etc.?</p>
<p>Sorry if my question appears confused. I'm simply trying to find out exactly what is included in a 'residential' address so I can match US to appropriate census records which includes residents of nursing homes, student halls, prisons etc. I suspect it refers only to private households but just want to confirm.</p>
<p>Many thanks</p> Understanding Society User Support - Support #430 (Closed): Sample size and weight within blood s...https://iserredex.essex.ac.uk/support/issues/4302015-10-09T08:25:29ZGaelle Albertus
<p>Hi,</p>
<p>I am working on Nurse Health Assessment database in order to use data related to biomarkers and health. I decided to use the wave 2 from the survey combined with the main sample (wave 2 - GPS sample).</p>
<p>Therefore, I am contacting you because the user manual gives a number of subjects equals to 10,175 while when I import the database (with STATA), I only have 9,906 individuals for wave 2.<br />In addition, I took a look at the variable called "b_nuroutc" in the b_indresp file from Nurse Assessment and I obtained 9 957 individuals belonging to "nurse visit conducted - blood sample sent to lab".<br />How could you explain this difference ?</p>
<p>Next, I tought about using the cross-sectional weight for GPS sample only (b_indnsus_xd) but I am wondering if I could use it even if I don't have the correct number of subjects. Is this weight is still accurate givent that I miss approximately 300 individuals ?</p>
<p>Thank you for helping me.<br />Kind regards,</p>
<p>Gaelle</p> Understanding Society User Support - Support #414 (Closed): Weights for unbalanced panelhttps://iserredex.essex.ac.uk/support/issues/4142015-09-10T17:44:42ZEwan Carrewan.carr@ucl.ac.uk
<p>My question is very similar to <a href="https://www.understandingsociety.ac.uk/support/issues/393#change-1207" class="external">this one</a>, posted last month.</p>
<p>I am estimating a random intercept logistic regression model, drawing upon all available data in the BHPS and US samples. Since I am using repeated measures data, from multiple waves, my understanding was that I would need to apply longitudinal weights to this analysis (specifically, "the weights from the last wave of any longitudinal sequence"; A5-1).</p>
<p>However, I want to use all available data. I do not want to limit the analysis to individuals with full information (i.e. complete cases) between BHPS wave 1 and US wave 4.</p>
<p>In the response given here, it was suggested that the cross-sectional weights should be used in this situation:</p>
<blockquote>
<p><cite>The last of these (unequal inclusion probabilities) is what weights are designed to deal with. <strong>I suggest that for each observation you use the relevant cross-sectional weight.</strong> That should correct for design probabilities and non-response.</cite></p>
</blockquote>
<p>However, this seems to go against the advice given in the User Guide (i.e., to use the longitudinal weights).</p>
<p>Can I confirm, therefore, that this approach (i.e. to apply the relevant cross-sectional weights) is a suitable strategy when treating the BHPS/US as an unbalanced panel?</p>
<p>Many thanks in advance.</p> Understanding Society User Support - Support #412 (Closed): Weights for BHPS and Understanding So...https://iserredex.essex.ac.uk/support/issues/4122015-09-09T13:04:23ZAndreas Wiedemannawiedem@mit.edu
<p>Hello,</p>
<p>I’ve merged the BHPS with the BHPS-subset of Understanding Society to create a longitudinal panel of BHPS respondents up until 2012 (i.e. I use the BHPS portion of Understanding Society). I am not entirely sure which weights I should use for the analysis. I’ve read the documentation of both dataset, but it is still not clear which weights are the best for my purpose. My goal is to re-create the same underlying population in both datasets, either for the UK or GB. Most importantly, however, I want to be consistent across these two dataset in order to analyze trends in, e.g., income over a time span covering both datasets. Most of my variables of interest are at the household level, but some are at the individual level. <br />Should I use the longitudinal BHPS weights (indin91_lw for individuals or the cross-sectional hhdenbh_xw for households)? And do I have to use weights only in the Understanding Society-part or also in the BHPS part of my panel.</p>
<p>Many thanks for your help,<br />Andreas</p> Understanding Society User Support - Support #291 (Closed): USOC cross-section household weight f...https://iserredex.essex.ac.uk/support/issues/2912014-07-29T10:19:38ZAlex Hurrellalexhurrell1@gmail.com
<p>I'm looking for the BHPS-sample cross-sectional household weight (n_hhdenbh_xw) for USOC wave 3. It is available in wave 2 but I can't find it in wave 2. Does it exist? If not, is it possible to derive it?</p>
<p>Many thanks,<br />Alex</p> Understanding Society User Support - Support #262 (Closed): Weightshttps://iserredex.essex.ac.uk/support/issues/2622014-05-15T08:54:11ZMaire Williamsm.williams@centreforcities.org
<p>Hi,</p>
<p>I’m new to understanding society data and stata and just wanted to check I’m weighting the data properly (both in terms of the weight used and the code entered). I’m looking at how individuals move between employment status over waves a, b and c at local authority level using special license data, the sectors they move into, how their pay changes as they move, their reason for changing jobs and whether they are permanently or temporarily employed. I’d like to extract the data and then analysis it in excel. I’m using the wave_indresp and wave_oslaua data. Before merging the data the code I’m using for wave b is</p>
<p>Keep pidp b_hidp b_strata b_psu b_indpxus_lw b_jbstat b_jbsect b_paygu_dv b_jbterm1 b_jbterm2 (etc)<br />Svyset b_psu [pweight = b_indpxus_lw], strata (b_strata)</p>
<p>Will this give me the correctly weighted data in terms of the proportion moving from employment to unemployment etc and from one sector to another and changes in their pay as they move between sectors? Or will I need to enter separate weights for each variable and look at each variable separately?</p>
<p>For wave a I’m using weight a_indpxus_xw and for wave c c_indpxub_lw are these correct?</p>
<p>Many thanks</p> Understanding Society User Support - Support #261 (Closed): Weighting for wave 2https://iserredex.essex.ac.uk/support/issues/2612014-05-09T12:29:48ZFatemeh Behzadnejadfatemeh.behzadnejad@mail.mcgill.ca
<p>Dear support team,</p>
<p>I am using the wave 2 of US survey in a cross-sectional analysis. I need to account for all respondents including those from BHPS, but I am not quite sure about the weighting.<br />According to page 38 of the user guide, there are two weights for this wave: indinus_xw and indinbh_xw. Can I combine these two weights? (I mean for each respondent I consider either of these two wights which is available)</p>
<p>I appreciate it if you could answer my question.</p> Understanding Society User Support - Support #253 (Closed): general population samplehttps://iserredex.essex.ac.uk/support/issues/2532014-03-28T16:09:03Zpeter tammes
<p>Dear sir /madam,<br />We would like to use only the General Population Comparison sample. Which of the weight variables should we use in our analysis?<br />Thank you <br />Peter</p> Understanding Society User Support - Support #225 (Closed): Merging BHPS and USOC weighting.https://iserredex.essex.ac.uk/support/issues/2252013-12-02T11:53:48ZNathan Hudson-Sharpnlh25@kent.ac.uk
<p>Hi,</p>
<p>I have merged BHPS waves 1 - 18 and Understanding Society Waves 2 and 3 in order to construct consistent work-life histories for the the BHPS panel survey sample. My research is aiming to identify the differential impacts of work transitions on GHQ wellbeing. However, at this early stage in my analyses I am having some problems in deciding what weights to use. Since BHPS wave 18 has post-stratified design weights adjusted for successive waves of non-response, would it be appropriate to use this to form the base for weighting from USOC wave 2 onwards?</p> Understanding Society User Support - Support #55 (Closed): Do weights adjust for non-independence...https://iserredex.essex.ac.uk/support/issues/552012-05-22T09:44:11ZPeter Taylorp.j.taylor@postgrad.manchester.ac.uk
<p>I wanted to know whether the weights provided for the youth self-completion data adjust for the problem of non-independence due to different children coming from the same household. Thank you.</p>
<p>Peter Taylor</p> Understanding Society User Support - Support #54 (Closed): Weights for youth self-completion datahttps://iserredex.essex.ac.uk/support/issues/542012-05-22T09:41:12ZPeter Taylorp.j.taylor@postgrad.manchester.ac.uk
<p>I'm interested in looking at the Youth self-completion (10-15 years old) data across wave 1 and wave 2 (interim release). I've noticed that there are no weights described in the documentation for looking at the youth self-completion data longitudinally (only cross-sectionally). I just wanted check if any appropriate weights had been developed for this purpose. Thank you for your help.</p>