Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382024-03-09T16:03:06ZUnderstanding Society User Support
Redmine Support #2074 (In Progress): Longitudinal weights https://iserredex.essex.ac.uk/support/issues/20742024-03-09T16:03:06ZJoe Mattock
<p>Hi,</p>
<p>I'm conducting an analysis specifically over waves 2, 3, 6 and 9 for Understanding Society, as relating to the voteintent variable which is only included in these waves. I would just like to ask about the weighting procedure for this case. I am examining how an independent variable (gentrification, as measured by an index) affects voting intention at the LSOA-level.</p>
<p>My understanding is that I need to take the longitudinal weight from the final wave used in my analysis and apply it to all respondents (i_indscub_lw - I believe). However, given that my dependent variable of interest is not observed in consecutive waves, I wanted to ask whether this principle applies in the same way.</p>
<p>I also wanted to ask how this weighting would be applied in practice. I am slightly confused about the order of things. For example, would you remove all wave-specific prefixes, merge LSOA indicators with the Understanding Society data, and then apply the relevant weight for each respondent?</p>
<p>Much appreciated,</p>
<p>Joe</p> Support #2066 (Resolved): Code creator E-Mailhttps://iserredex.essex.ac.uk/support/issues/20662024-03-04T16:25:06ZLeo Haentjes
<p>Hello, after multiple tries and hours of waiting time I still do not get an e-mail containing my code when I try to use the code creator. I would be very thankful if you could look into it and help me solve the problem.<br />Best regards</p> Support #2061 (Feedback): Video content for part 8 + sections 11,12 & 13 greyed outhttps://iserredex.essex.ac.uk/support/issues/20612024-02-29T13:58:26ZJoe Mattock
<p>Hi,</p>
<p>I am a new user just going through the content. I was just wondering if there is accompanying video content for the slides in section 8 as this currently does not appear to be visible.</p>
<p>Furthermore, sections 11, 12 and 13 appear to be greyed out, and the content is inaccessible. If I could please have access to these sections that would be much appreciated.</p>
<p>Thanks,</p>
<p>Joe</p> Support #2059 (Feedback): BMI, weight and height variableshttps://iserredex.essex.ac.uk/support/issues/20592024-02-26T13:36:19ZBeate Panko
<p>I am interested in looking at BMI across different years but it seems this variable (or weight and height which would allow for BMI to be calculated) is only present in wave 1, is this true? In the understanding society webpage it says “A range of bio-medical measures were collected from around 20,000 adults, which included blood pressure, weight, height” but am struggling to find them, are they available anywhere? Thank you.</p> Support #2055 (Feedback): Reasoning for inapplicable variables which don't have a preceding quest...https://iserredex.essex.ac.uk/support/issues/20552024-02-15T17:06:54ZMolly Rowe
<p>Hi,</p>
<p>I have a query regarding the status of 'inapplicable' for certain variables.</p>
<p>A few participants show up as inapplicable for all questions in the loneliness scale (sclackcom, scisolate, scleftout) in waves 10 and 11 of the main study. From looking at the questionnaire, I cannot see any preceding questions which would make the loneliness questions inapplicable.</p>
<p>The questionnaire also states the following, leading me to believe that the mode of the interview may be the reason:</p>
<p>Universe If ((GRIDVARIABLES.ModeType = 1 & CASISTART.scac = 1 Thru 3) | GRIDVARIABLES.ModeType = 2|3) // Mode is face-to-face and has agreed to self-completion OR mode is telephone or web</p>
<p>Upon further investigation I noticed that all inapplicable data for loneliness variables were from participants who were interviewed face to face, however not everyone who was interviewed face to face was inapplicable on these variables.</p>
<p>It would be great if you could shed some light on why some participants who were interviewed face to face were inapplicable on loneliness variables, while others weren't. <br />Or whether there's a different reason for the inapplicable values on loneliness items ?</p>
<p>Thanks for your help!</p> Support #2038 (Resolved): Merging family level and individual level data https://iserredex.essex.ac.uk/support/issues/20382024-01-24T09:58:54ZTed Porter
<p>Hi,</p>
<p>I am looking to create a panel data set using the main survey from Understanding society. Most variables I need are contained within the indresp file, however a couple I want are in the hhresp file. Is there a way to create a panel data set, i.e using multiple years of data, with a data set combining both hhresp and indresp variables.</p>
<p>Thanks.</p> Support #2037 (Resolved): Weight variables for BHPS Youth Studyhttps://iserredex.essex.ac.uk/support/issues/20372024-01-23T11:15:29ZImogen Cartwright
<p>Good morning,<br />I have downloaded the SPSS data files for <strong>SN 6614</strong>-Understanding Society: Waves 1-13, 2009-2022 and Harmonised BHPS: Waves 1-18, 1991-2009 ( <a class="external" href="https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6614">https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6614</a> ).<br />However, when reviewing each wave of the BHPS Youth study responses, I cannot find a 'weight variable' to weight the responses (unlike with the UKHLS Youth study waves where the weight variable is the last variable listed in the SPSS file).<br />Please could you indicate if there is a weight variable for each wave of the BHPS Youth study? And if so, what the name of the weight variable is within each SPSS file for each wave (waves 'bd' through to 'br')?<br />This is high priority due to its use within the Public Service Productivity Review being conducted by the Office for National Statistics.<br />Best wishes,<br />Imogen Cartwright</p> Support #2036 (Feedback): Understanding Society - weightshttps://iserredex.essex.ac.uk/support/issues/20362024-01-22T12:50:29ZValentina Di Iasio
<p>Good morning,</p>
<p>After reading the user guide and watch the short YouTube video, I am still confused on which are the correct weights I should select for my pooled cross-sectional analysis using Understanding Society.</p>
<p>I am using waves 6 and 9 for a pooled cross-section analysis. I would therefore being inclined in using the cross-sectional weights. However, when reading the user guide it says that cross-sectional weights should only be used when the analysis includes one wave only. I also read the paragraph on re-scaling the weights to use more waves to conduct cross-sectional analysis. However, I am not sure whether the described procedure would apply to my case since I don't have a year overlapping over the two waves (wave 6 goes from January 2014 to May 2016 while wave 9 goes from January 2017 to May 2019). Therefore I am not sure whether I should simply use cross-sectional weights, re-scale the cross-sectional weights somehow (maybe for the first 6 months of 2016 and 2019 only?), or exclude the first 6 months of the years 2016 and 2019. Or, if I am missing something and I should use longitudinal weights (in that case, since I am doing a pooled cross-section analysis, how should I deal with 0 weights?)</p>
<p>Thank you in advance</p>
<p>Valentina Di Iasio</p> Support #2029 (Resolved): Missing wave 1 data for yphsc, yphsw, yphlfhttps://iserredex.essex.ac.uk/support/issues/20292024-01-10T08:44:26ZImogen Cartwright
<p>Good morning,</p>
<p>Hope you are well!</p>
<p>For the variables yphsc, yphsw and yphlf, data for Wave 1 is missing on the online 'Datafile'. Wave 1 is the only wave that data is missing for. Please may this data be provided?</p>
<p>Many thanks, <br />Imogen Cartwright</p> Support #2019 (Resolved): Tailored Weighting Guidance https://iserredex.essex.ac.uk/support/issues/20192023-12-27T16:08:33ZFreya Buchanan
<p>I'm investigating the effect of mental health on labour market earnings. My dependent variable is fimnlabnet_dv and my independent variable is scghq2_dv. My population of interest is all individuals of working age and I'm using data from waves 1-13 of UKHLS. I will be using a fixed effects regression.</p>
<p>I'm looking to create a weight variable to be included in the regression. I've completed the Moodle course on creating your own tailored weights, have looked at the user guides, and have extensively scrolled through this user forum to see if anyone else has had similar issues but I'm still struggling.</p>
<p>My issues are as follows:</p>
<p>(1)<br />When attempting to predict attrition</p>
<blockquote>
<p>code:</p>
<blockquote>
<p>xtreg fimnlabnet_dv scghq2_dv $controls if wave==2|3 [pw=b_indinus_lw], fe cluster(pidp)<br />cap drop nonattrition<br />gen nonattrition = e(sample)<br />replace nonattrition = . if wave!=3</p>
</blockquote></blockquote>
<p>All variables are omitted from the regression due to collinearity when the weight is included, why may this be? I have checked extensively and as far as I can tell there is no collinearity present amongst my control variables (NB: $controls is a macro containing my control variables)</p>
<p>(2)<br />Through the moodle course I learned that I should use the longitudinal weight from the earliest wave of analysis as my base weight (b_indinus_lw, since there is no indinus_lw for wave a). I am then to run a logistic regression predicting response conditional on this base weight. However, when attempting to do this using Stata (code: logit resp2 $wave2predictors [pw=b_weight] if b_weight !=0 & b_weight !=.) I get the return code r(2000); outcome does not vary; remember: 0 = negative outcome, all other nonmissing values = positive outcome. I cannot work out why this might be. I have tried several varieties of the code and different predictors and combinations of predictors but I have had no success. Why may this be occurring and how can I remedy the issue?</p>
<p>(3)<br />Additionally, I would you please be able to tell me if my methodology for creating my own weights is correct? I'm using this methodology based off of the teachings in the Moodle page but I found it a little challenging to follow so I would hugely appreciate some clarification. <br />1. Select a base weight (in my case this would be the product of the design weight for the earliest wave in my analysis multiplied by the non-response <br />2. Predict response using logistic regression.</p>
<blockquote>
<p>When including the base weight in this regression, I get the return code r(2000); outcome does not vary; remember: 0 = negative outcome, all other nonmissing values = positive outcome. This is the issue I have noted above in (2)</p>
</blockquote>
<p>3. Predict probabilities <br />4. Take the inverse of these probabilities (1/prob)<br />5. Multiply the ipw with the base weight (gen ipwXsampwgt = ipw*b_indinus_lw)</p>
<p>Please note that my panel is unbalanced but I wish for it to remain this way as creating a balanced panel would drop too many observations.</p>
<p>Thank you in advance for any assistance you may have to offer, I really appreciate it. If you need any further clarification please just let me know.</p> Support #2010 (Resolved): BHPS and Understanding Society Dataset Queryhttps://iserredex.essex.ac.uk/support/issues/20102023-12-13T14:20:25ZJoe Mcilwaine
<p>I am writing my dissertation on intergenerational mobility in the UK. My question relates to the harmonised BHPS and UKHLS datasets. I want to be able to track the outcomes of children in these participating families, but cannot figure out how to best do so.</p>
<p>That is, I want to be able to observe a family early on in the study (and take variables such as their income), and then observe the labour market outcomes of their children in later surveys. I have seen other studies do this with this data, so I am sure it is possible, but was wondering if I could get some guidance on how to do so.</p>
<p>Thanks!</p> Support #2000 (Resolved): BHPS+UKLHS weigthshttps://iserredex.essex.ac.uk/support/issues/20002023-12-05T16:16:27ZAelen Valen
<p>Hello, first of all thanks for you prompt support, that's super helpful!<br />My issue is the following: I pooled BHPS and UKLHS to perform two analysis of inequality of opportunity, panel and cross-sectional. I'm basically using a measure of equivalised household income (if I'm not wrong, fihhmngrs_dv is the only one that we have for all the waves from 1991 to now, right?) and individual/parental variables like sex, ethnicity, country of birth, mother and father education, occupation and place of birth to measure inequality in income, predicted by this set of variables (inequality of opportunity).<br />I want to compare the estimate across waves, should I use indinui_xw as weights?<br />For a longitudinal analysis which weigths shoud I use? Are there no missings in the weighting variables right? Is it most likely my mistake in the pooling if I have missing values in the weighting variables?</p>
<p>Thanks a lot!</p> Support #1999 (Resolved): treatment of HMOshttps://iserredex.essex.ac.uk/support/issues/19992023-12-05T14:30:43ZMarika Cioffi
<p>Hi, I am interested in how USOC treats full-time students and HMOs in terms of households composition. More specifically,<br />Are full-time students living alone or with other people (not family) considered as being one-person households or are they part of the household of their parents?<br />Are they the “reference person” of their own household or are they just a member of the household where one of their parents is the reference person?</p> Support #1992 (Resolved): household income https://iserredex.essex.ac.uk/support/issues/19922023-11-08T08:27:14ZAelen Valen
<p>Hello,</p>
<p>I'm using Understanding Society together with Eu SILC and I was wondering whether w_fihhmnnet1_dv+ (*12 months) corresponds to the total disposable income in EUSILC (HY020) which is derived as follows:</p>
<p>Total disposable household income (HY020) can be computed as:<br />- the sum for all household members of gross personal income components<br /> <del>gross employee cash or near cash income (PY010G),<br /> - company car (PY021G),<br /> - gross cash benefits or losses from self-employment (including royalties) (PY050G),<br /> - pensions received from individual private plans (other than those covered under ESSPROS) (PY080G),<br /> - unemployment benefits (PY090G),<br /> - old-age benefits (PY100G),<br /> - survivor' benefits (PY110G),<br /> - sickness benefits (PY120G),<br /> - disability benefits (PY130G),<br /> - education-related allowances (PY140G);<br /></del> plus gross income components at household level<br /> - income from rental of a property or land (HY040G),<br /> - family/children related allowances (HY050G),<br /> - social exclusion not elsewhere classified (HY060G),<br /> - housing allowances (HY070G),<br /> - regular inter-household cash transfers received (HY080G),<br /> - interests, dividends, profit from capital investments in unincorporated business (HY090G),<br /> - income received by people aged under 16 (HY110G));<br />- minus<br /> - regular taxes on wealth (HY120G),<br /> - regular inter-household cash transfer paid (HY130G),<br /> - tax on income and social insurance contributions (HY140G).</p>
<p>Many thanks for the support!!!</p> Support #1989 (Resolved): inapplicable ukbornhttps://iserredex.essex.ac.uk/support/issues/19892023-11-01T10:19:15ZAelen Valen
<p>Hi, what does "inapplicable" suggest? Why there are 96.66% of inapplicable replies to "ukborn"? Thanks</p>