https://iserredex.essex.ac.uk/support/https://iserredex.essex.ac.uk/support/support/favicon.ico?15995719382016-11-29T08:02:42ZUnderstanding Society User SupportUnderstanding Society User Support - Support #667: how best to weight USOC youth data when linking waves for longitudinal analysishttps://iserredex.essex.ac.uk/support/issues/667?journal_id=22532016-11-29T08:02:42ZVictoria Nolanvlnolan@essex.ac.uk
<ul><li><strong>Status</strong> changed from <i>New</i> to <i>In Progress</i></li><li><strong>Assignee</strong> changed from <i>Olena Kaminska</i> to <i>Jane Lakey</i></li><li><strong>% Done</strong> changed from <i>0</i> to <i>10</i></li><li><strong>Private</strong> changed from <i>Yes</i> to <i>No</i></li></ul><p>Dear Jane,</p>
<p>I've passed on your query to Peter and he will reply shortly.</p>
<p>Best wishes, Victoria</p> Understanding Society User Support - Support #667: how best to weight USOC youth data when linking waves for longitudinal analysishttps://iserredex.essex.ac.uk/support/issues/667?journal_id=22542016-11-29T11:22:49ZPeter Lynnplynn@essex.ac.uk
<ul></ul><p>Jane,</p>
<p>The best way would be to start with the wave 2 cross-sectional weight and then make an adjustment to it, to account for attrition at waves 4 and 6. Basically, you would create a 0/1 indicator for each 10/11 year-old at wave 2, to indicate whether they also responded at waves 4 and 6. Then model this indicator on some relevant wave 2 covariates. Use the model predicted values as adjustment factors to the weight. i.e., something like this (where w46out is the 0/1 indicator and x1, x2, etc are your predictor variables):</p>
<p>logistic w46out i.x1 i.x2 ......<br />pred prob<br />weight=b_ythscus_xw/prob</p>
<p>Hope that helps,</p>
<p>Peter</p> Understanding Society User Support - Support #667: how best to weight USOC youth data when linking waves for longitudinal analysishttps://iserredex.essex.ac.uk/support/issues/667?journal_id=22632016-11-30T12:47:42ZVictoria Nolanvlnolan@essex.ac.uk
<ul><li><strong>Status</strong> changed from <i>In Progress</i> to <i>Resolved</i></li><li><strong>% Done</strong> changed from <i>10</i> to <i>100</i></li></ul> Understanding Society User Support - Support #667: how best to weight USOC youth data when linking waves for longitudinal analysishttps://iserredex.essex.ac.uk/support/issues/667?journal_id=22962016-12-12T09:39:00ZVictoria Nolanvlnolan@essex.ac.uk
<ul><li><strong>Status</strong> changed from <i>Resolved</i> to <i>Closed</i></li></ul>