Why Meta-Analysis Needs a Taxonomy | HubMeta Tutorial #16 — Transcript
Full transcript
- 0:15Welcome back. Now that we have extracted
- 0:19the data that we want to include from
- 0:21our PDFs, it is time for us to do a
- 0:25little bit of more uh preparation on
- 0:28that data and then get ready for
- 0:30analysis. That's what is happening in
- 0:33the fourth stage of our pipeline which
- 0:36is push. The first thing and the most
- 0:39important part is taxonomy. This part is
- 0:44of course mostly relevant for
- 0:48uh quantitative systematic reviews aka
- 0:52metaanalysis projects and uh let me
- 0:56explain why we need a taxonomy and why
- 1:00we need to organize that. Imagine in
- 1:02this study of
- 1:05companies and firms that have
- 1:07internationalized and we are looking at
- 1:09their level of um their international
- 1:13sales and the effect of that on their
- 1:15performance. One of the things that many
- 1:18many studies have measured is a simple
- 1:22things such as firm size like usually
- 1:25this one is measured as the number of
- 1:28people that work in that company. But if
- 1:30I type in uh firm size here like this is
- 1:34the list of all of these measurements.
- 1:36You can see that people have used many
- 1:40many different ways of measuring the
- 1:43same concept. So some of them are using
- 1:47logarithmic measures, some of them are
- 1:50using you know sales, some of them using
- 1:53assets, number of people, many many
- 1:56different ways
- 1:59to include them in a metaanalytic
- 2:04uh analysis.
- 2:06You have to make decisions
- 2:09as to how do we group these measurements
- 2:14under the same parent construct. So in
- 2:17this example, my parent construct would
- 2:20become firm size which is a construct
- 2:25that measures how big or how small this
- 2:28company is. The question of how this
- 2:32firm size construct is measured is
- 2:36answered by different people in many
- 2:38different ways. You might have hundreds
- 2:41of different ways of measuring firm
- 2:43size.
- 2:45So what happens in meta analysis is that
- 2:49the grouping strategy, the grouping
- 2:52decisions that you have to make to put
- 2:55this measurements into a final
- 2:59meaningfully coherent set under the same
- 3:03parent is a very difficult one. And to
- 3:08do that efficiently with thousands of
- 3:11included articles is a big project of
- 3:14its own. That's where our taxonomy page
- 3:19comes into play. Let's review our
- 3:21taxonomy page in general and then we
- 3:24will go into more details. First of all,
- 3:28you have three views in our taxonomy
- 3:30page. One of them is a table view where
- 3:33you can see the different you know
- 3:36measurements, the numbers when they were
- 3:38added. You can add by uh to see all the
- 3:43ones that have already been assigned to
- 3:45a parent for example, all the ones that
- 3:49are not assigned for example or orphaned
- 3:52right now and all the parents that do
- 3:56not have you know something attached to
- 3:58them. Or you can select by constructs or
- 4:05measurements or both like you know
- 4:07different filters are available to you
- 4:10and you also have this tree view which
- 4:13we have created. This tree view allows
- 4:15you to see like how the different uh
- 4:19constructs are attached to their uh
- 4:23child measurements. Like in this case,
- 4:25marketing intensity as our con construct
- 4:28is measured through multiple different
- 4:31ways. You can play around with this to
- 4:33see if any of these views is more or
- 4:36less relevant to you. But the explorer
- 4:40view which we show by default is the one
- 4:42that I think is the most useful one.
- 4:45Here you can open and close your
- 4:47construct and this will clearly show you
- 4:51what measurements have been categorized
- 4:53under that. So in this project because I
- 4:55have already run the uh assignment
- 4:58things. Uh if I open my firm size, I
- 5:01will see like 28 different measurements
- 5:05across my papers that have have been
- 5:09used to define uh to capture uh firm
- 5:13size. Any taxonomy node including a
- 5:17construct or measurement you you click
- 5:20on inside hub meta will open a right
- 5:23pane which is node inspector. It shows
- 5:26the name of the node, the the exact
- 5:28definition, the type it is, uh the
- 5:33parent node and you know the
- 5:35relationship with the parent that they
- 5:38have. It could be a positive or negative
- 5:40uh relationship.
- 5:43Here you can export all of these into a
- 5:47CSV file. So all of your measurements
- 5:49you can just take them out of Hubmeta
- 5:50and do something. And here you can also
- 5:53import u from an existing project or you
- 5:57know you will do your own categorization
- 5:59manually and then bring it back to hub
- 6:01meta. So we have allowed for that you
- 6:04can manually add nodes define a
- 6:06construct or measurement here
- 6:09and you know use the fields. uh but the
- 6:14part that is very important inside
- 6:16taxonomy is this taxonomy wizard which I
- 6:21will explain in the next video. The
- 6:24taxonomy wizard is where we will
- 6:28use the power of AI to uh attach our
- 6:32measurements to uh meaningful constructs
- 6:37into meaningful groups which will then
- 6:39allow us to analyze this project.
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