Understanding Society User Support: Issueshttps://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382022-11-21T16:02:56ZUnderstanding Society User Support
Redmine Understanding Society User Support - Support #1811 (Resolved): Longitudinal weight selectionhttps://iserredex.essex.ac.uk/support/issues/18112022-11-21T16:02:56ZRebeka Balogh
<p>Hello,</p>
<p>I'd have (another) question on longitudinal weight selection. <br />I've conducted a latent class analysis in wave 4 and I'm using the latent class membership as an explanatory variable in subsequent analyses. However, another important explanatory variable I've derived is the length of unemployment respondents had been exposed to prior to wave 4. This I've derived from the employment status history modules and the annual event history modules. The employment status history module was asked to some households in wave 1 and to others in wave 5. For those that were asked in wave 5, I've 'backdated' their employment spells. My question concerns the correct weight to use. Originally I was planning on fitting regressions on the outcome in wave 5 in which case I would have used the correct wave 5 longitudinal weight. However, now I'm considering looking at an outcome which is only available in wave 4. However, because of the unemployment variable, would it be methodologically sound to still apply the wave 5 longitudinal weight (given that some of the information on prior unemployment has been derived from wave 5?) even when I'm looking at an outcome at wave 4? <br />Thanks very much for the help.</p>
<p>Best wishes<br />Rebeka</p> Understanding Society User Support - Support #1708 (Resolved): Usual and last pay - question on i...https://iserredex.essex.ac.uk/support/issues/17082022-05-30T14:33:38ZRebeka Balogh
<p>Hi there,</p>
<p>I'm constructing indicators relating to an individual's current employment in wave 8. My sub-sample consists of employees aged 25 to 60 who reported good self-rated health and no psychological distress in the previous wave. <br />The two indicators in question are<br />1. the relative pay level (using net labour income fimnlabnet_dv), and<br />2. pay volatility (whether there's a discrepancy between usual net pay in current (main) job (paynu_dv) and last net pay in current (main) job (payn_dv).</p>
<p>While the ratio of missing observations for relative pay level are low, that's not the case for pay volatility. The reason for that being that while fimnlabnet_dv (and one of its components, paynu_dv) is imputed, payn_dv isn't. Beyond the number of missing cases, I'm more concerned that pay volatility won't be missing at random as certain respondents might be more likely to refuse to answer questions on their pay (usual net pay and overall net labour income will be imputed for them but lay pay won't be). Could you confirm this? With your experience on the income variables, do you think it's safer to drop the indicator on pay volatility altogether? For the analysis I'm doing, it'd ideal if the assumption of missing at random could hold. I've read the UKHLS income data guidance but couldn't find information on non-response to income questions.<br />Thanks very much</p> Understanding Society User Support - Support #1699 (Resolved): BHPS - UKHLS self-completion weighthttps://iserredex.essex.ac.uk/support/issues/16992022-05-12T13:13:29ZRebeka Balogh
<p>Hi there,</p>
<p>I am looking to analyse trajectories of employment and mental health over waves of BHPS (waves 15 to 18) and Understanding Society (waves 2,4,6,8,10) together. However, I have noticed there are no longitudinal self-completion weights for the BHPS 2001 sample in wave 10 of Understanding Society (the last wave). Do I understand correctly that if I was to proceed with this analysis, I would have to compute the weights myself to account for differential self-completion non-response?<br />Thank you.</p> Understanding Society User Support - Support #1659 (Resolved): Longitudinal analysis - correct we...https://iserredex.essex.ac.uk/support/issues/16592022-02-10T14:19:43ZRebeka Balogh
<p>Hi there,</p>
<p>I'd like to conduct longitudinal analysis using UKHLS. In brief terms: I will be conducting a latent class analysis using information from wave 8, then adjusting with variables from wave 7, and then using latent class membership derived from wave 8 to predict mental health outcomes in wave 9 with regression analysis. My question concerns the correct weight to use. Guidance suggests that I should use the appropriate weight from the last wave used - this would be i_indscui_lw. Can I use i_indscui_lw (the appropriate longitudinal weight from wave 9) as a weight in the latent class analysis (which uses information from wave 8)? I understand that for those that did not respond in wave 9, i_indscui_lw will be missing. I would therefore select a sub-sample that responded to the self-completion part of the wave 9 questionnaire (using i_scflag_dv). <br />Thanks very much for your help<br />Best</p> Understanding Society User Support - Support #1643 (Resolved): Employment history for different s...https://iserredex.essex.ac.uk/support/issues/16432022-01-28T13:36:35ZRebeka Balogh
<p>Hi support team,</p>
<p>I am looking to construct a variable indicating any unemployment spell prior to wave 8. I understand that for part of the GPS & EMB samples, the employment history module was asked in wave 1 and in wave 5 for the rest of the samples. The User Guide says that for the IEMBS information on previous employment history was collected in wave 6, however, unless I am missing something, I don't seem to find this module in the questionnaires etc. Could it be that this module was dropped and that for the IEMB sample no information is available on their employment (status) history prior to their first interview?</p>
<p>Many thanks!</p>