[R-meta] Estimating "overall effect" in meta-regression
Dear Wolfgang, The studies follow a pre-post-control design. The effect size measure used is standardized mean difference (SMD). I hope this clarifies my question. Luke sudy time yi 1 0 1 1 2 0 2 1 On Mon, Jan 10, 2022, 5:43 AM Viechtbauer, Wolfgang (SP) <
wolfgang.viechtbauer at maastrichtuniversity.nl> wrote:
Dear Luke, I don't understand the question, in part because it is not clear to me what kind of design the studies have and what kind of effect size measure you are using. Could you clarify this? Best, Wolfgang
-----Original Message----- From: Luke Martinez [mailto:martinezlukerm at gmail.com] Sent: Sunday, 09 January, 2022 7:53 To: R meta Cc: Viechtbauer, Wolfgang (SP) Subject: Estimating "overall effect" in meta-regression Dear R-meta Community, I'm meta-analyzing a group of pre-post studies. My first RQ is: what is the "overall effect" of policy X on a dependent variable. I know that I can fit an intercept-only model to answer this RQ. But an intercept-only model estimates the average effect size across BOTH pre-tests (before policy X implementation) and post-tests (after policy X implementation), while pre-test effect sizes don't contain any policy X effect. Given that, is it appropriate to use an intercept-only model to answer this RQ, or I actually need to use a time indicator as a moderator to separate the pre- from post-test effect sizes to answer this RQ (in which case the original RQ must change too)? Thank you for helping me better conceptualize this basic question, Luke