SEM Series (2016) 1. Introduction
Summary
TLDRThe speaker announces an update to their SEM series, reflecting changes in the field and the world. They will no longer cover tests for homoskedasticity and linearity due to current debates and journal practices. New additions include influentials tests, multivariate assumptions, and a multigroup analysis in Amos. The presenter corrects and clarifies common method bias tests, introduces a new mediation approach, and updates the validity tool. They also release an updated stats tools package, a new plugin, and a reference page for SEM. The series will cover a simplified model with three hypotheses, aiming to make the content more precise and literature-based.
Takeaways
- 📈 The speaker is launching a new series on Structural Equation Modeling (SEM) with updates reflecting changes in the field and the world.
- 🔍 Some outdated topics like tests for homoskedasticity and linearity are being removed due to current debates and less frequent requests from journals.
- 📚 New content will be introduced, including tests for influential observations and multivariate assumptions, as well as a test for multigroup analysis in Amos.
- 🛠 The speaker has clarified and corrected many aspects, improving the methodology for common method bias tests and multi-group comparisons using Chi-Square difference tests.
- 💾 An updated SEMands program is provided for easier identification of mediated or indirect effects, along with updates to the validity tool for better estimation of error and variance.
- 🔗 The speaker has created and updated plugins, including the CF plugin for the new Common Method Bias (CMB) approach and a new Amos A*B SEMands file.
- 📄 A new references page has been added to the wiki, compiling numerous references for SEM, with an invitation for contributions to expand the resource.
- 📊 The speaker emphasizes a shift towards more precise language and literature-based approaches in statistics, aiming to ground explanations and claims in research.
- 📊 The upcoming series will guide through an order of operations for SEM, starting with a simplified model for clarity and ease of understanding.
- 🎓 The data used in the series is from students at BYU, focusing on Excel usage, information acquisition, decision quality, and other variables, with demographic controls.
Q & A
What is the main reason for updating the SEM series?
-The main reason for updating the SEM series is that the speaker has learned a lot of new things, changed some approaches, and the world has also changed a bit, necessitating an update.
Which tests are no longer included in the updated SEM series?
-The tests for homoskedasticity and linearity are no longer included because there are ongoing debates about them, and most journals do not require them.
What new tests are being added to the updated SEM series?
-The new tests being added include tests for influentials, multivariate assumptions, a test for multigroup analysis in Amos, and the use of the multigroup models button in Amos.
How has the speaker improved the common method bias tests?
-The speaker has improved the common method bias tests by using literature-supported tests instead of the previously used ones that were not rigorously supported by literature.
What is the new mediation approach that the speaker mentions?
-The new mediation approach involves an s demand that the speaker has written, which can be downloaded and saved into the Amos area to help identify exact mediated or indirect effects.
What changes were made to the validity tool in the updated SEM series?
-The validity tool now uses exact error and variance for composite reliability estimation instead of estimated error, making it more accurate.
What updates were made to the plugins and tools mentioned in the script?
-The CF plugin has been updated to work with the new common method bias (CMB) approach, a new s demand file has been created, and the stats tools package has been updated. All these updates are available on the wiki.
Why did the speaker add a references page to the stat wiki?
-The speaker added a references page because it had been requested for years, and a participant online urged the speaker to do it, providing a bunch of references.
What is the purpose of the references page on the stat wiki?
-The purpose of the references page is to provide a collection of references for those doing SEM, which can be searched using the search function on the page.
How has the speaker's approach to statistics and language precision evolved?
-The speaker's approach has evolved to be more precise, with a focus on grounded literature-based approaches rather than pure logic, and the language used in explanations and claims has become more precise.
What is the model being tested in the updated SEM series?
-The model being tested is a simplified model based on data from students at BYU, focusing on how they use Excel, information acquisition, decision quality, usefulness, enjoyment, playfulness, atypical use, and controlling for demographic information like gender, age, and frequency of use.
How many hypotheses is the speaker proposing in the updated SEM series?
-The speaker is proposing three hypotheses in the updated SEM series for simplicity, although in practice, one might have multiple hypotheses.
Outlines
📊 Introduction to the Updated SEM Series
The speaker announces the launch of an updated series on Structural Equation Modeling (SEM), reflecting changes in the field and the world. They mention removing outdated tests, such as those for homoscedasticity and linearity, due to current debates and a shift in journal requirements. New content includes tests for influentials, multivariate assumptions, and a multigroup analysis in Amos. The speaker also discusses improvements in common method bias tests, now supported by literature, and introduces a new mediation approach with an s-demand file for Amos. They correct the validity tool to use exact error and variance, and mention updates to the CF plugin and the stats tools package. A new references page is added to the wiki, which is a compilation of numerous unorganized references accessible through search. The speaker emphasizes a shift towards more precise language and grounded, literature-based approaches in their explanations and procedures.
🔍 Overview of the Simplified Model and Hypotheses
The speaker outlines a simplified model for the SEM series, focusing on data from students at BYU regarding their use of Excel. The model includes variables such as information acquisition, decision quality, usefulness, enjoyment, and atypical use, along with demographic controls for age and frequency of Excel use. The speaker proposes three hypotheses for the model, emphasizing the simplicity for educational purposes. They note that in practice, researchers might have multiple hypotheses of various types, but for the series, they will test three distinct kinds. The speaker expresses hope that this approach will lead to a clearer understanding of SEM for the audience.
Mindmap
Keywords
💡SEM series
💡Heteroskedasticity
💡Linearity
💡Influentials
💡Multivariate assumptions
💡Multigroup analysis
💡Common method bias
💡Kai Square difference test
💡Mediation
💡Validity tool
💡CMB approach
Highlights
Introduction of a new SEM series with updates based on learnings and changes in the world.
Removal of tests for homoskedasticity and linearity due to current debates and less frequent requests from journals.
Addition of tests for influentials and multivariate assumptions.
Introduction of a test for multigroup analysis in AMOS using the multigroup models button.
Clarification and correction of many things, including better ways to do common method bias tests.
Use of literature-supported tests for common method bias instead of loosely supported ones.
Introduction of a new mediation approach with an SEM demand file available for download.
Updates on the use of Baron and Kenny's approach in mediation analysis.
Fixing the validity tool to use exact error and variance for composite reliability.
Update of the CF plugin to work with the new common method bias approach.
Creation of a new SEM demand file and update of the stats tools package.
Addition of a references page to the wiki, fulfilling a long-requested feature.
Invitation for users to contribute references for the SEM field.
Emphasis on more precise language and grounded, literature-based approaches in statistics.
Plan to walk through the order of operations as outlined on the general guidelines page.
Testing of a simplified model using the same variables and data as the previous series for consistency.
Proposing only three hypotheses for the sake of simplicity in the new series.
Description of the model focusing on student use of Excel, information acquisition, decision quality, and other variables.
Transcripts
the time has come for a new sem series
I've learned a lot of things I've
changed a few things the world has
changed a little bit and so it's really
just time for an update in this sem
series there will be some new things for
example I've removed some things I no
longer am going to be showing tests for
homoskedasticity and linearity because
there are debates about these currently
and most journals don't even ask about
them I'm going to add some things
including tests for influentials in uh
multivariate
assumptions a test for multigroup
analysis in Amos I'm going to show you
how to use that multigroup uh manage
multigroup models button that I've never
used
before I've clarified and corrected many
many things um there are better ways to
do common method bias tests and in the
past the ones I've used have not been um
rigorously supported by literature
although there is loose support so I now
use uh literature supported tests
multi-group comparison
using a Kai Square difference test again
using the built-in functionality in Amos
new mediation approach I wrote an s
demand um that you can just download and
save into your Amos area to help us
identify exact mediated or indirect
effects also there have been some
updates here on uh whether or not to use
Baron and Kenny and things like that I
fixed the validity tool in the past it
has estimated error for um composite
reliability and so now it uses exact
error and variance so that's better it's
actually not very much different um but
in some cases it can make a big
difference I've created a new Plugin or
I guess I've updated an old plug-in the
CF plug-in uh now works with the new CMB
approach I've created a new s demand
file and updated my stats tools package
all these are updated on the wiki I
should just show you right now so um
let's see we have the Excel stats tools
this is the updated version um if you're
not sure if you have the updated version
go to the about Tab and you'll see a
more recent 2016 update date there is
the updated a Amos clf plugin and the
new Amos A * b s demand so all of those
are available and ready for you I've
also added a references page to stat
this has been requested for years and
I've been meaning to do it and finally
uh one of the good participants online
uh urged me to do this and sent me a
bunch of references and I really thank
them for that so we have the references
section if I go to that you'll see
dozens and dozens and dozens of
unorganized sorry unorganized references
these if you just do contrl F and search
for whatever it is you want to search
for let's say uh partial least there we
go partial least squares PLS you'll find
whatever it is you're looking for so
lots of references there if you guys
haven't have references that I don't
have listed here that you think would be
helpful for uh most people doing sem
please send them to me I'd be very
interested let's see that's the
references page and overall uh just more
precise language I've learned more
Precision in statistics and I've learned
a lot from several people and several
books and whatnot so hopefully my
language will be more precise my expl
explanations and claims will be more uh
grounded and the procedures will be more
correct I'll be relying somewhat Less on
just pure logic and more on um grounded
literature-based
approaches so that's what's new I'm
going to be walking through as in the
previous um SCM series I'll be walking
through this order of operations which
you can find on the general guidelines
page and we'll be going through each of
these
things not thoroughly through these
first two although I will show you the
current model so the current model that
we're going to test is a little bit
simpler than last time last time it was
a really complex model and we certainly
didn't get to everything and I think
that added complexity added confusion so
this time we're going to test a somewhat
simplified model and we're going to use
the same variables the same data that
data is available on the homepage of the
stat Wiki if you scroll down to YouTube
sem series data it's the exact same data
from last time so you can use that um
let's go back to here so here's the
model same variables um it's about it's
data from students at BYU um and we
asked them about how they use Excel and
we asked about information acquisition
decision quality usefulness enjoyment
playfulness atypical use asked how long
they had been using Excel
and um we grabbed their demographic
information like gender and we're going
to control for age and frequency of use
so fairly simple model and I'm actually
only going to propose three hypotheses
now when you do this when you have your
own data and your own model you will not
be proposing probably three hypotheses
you might have an H1 a H1B h1c multiple
mediation hypotheses multiple
multi-group
hypotheses um but for simplic sake I'm
just going to propose three and um go
from there and there are three different
kinds and we'll test each of
those so that's the plan hopefully this
will all work out and we will all be a
wee bit smarter
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