SEM Using AMOS | Data Mining | Analysis Of A Moment Structure | Big Data Analytics | Structural Equation Modelling - PowerPoint PPT Presentation

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SEM Using AMOS | Data Mining | Analysis Of A Moment Structure | Big Data Analytics | Structural Equation Modelling

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Structural Equation Modelling (SEM) is a widely used technique in statistics to primarily study relationships based on structures. It encompasses various models involving mathematics, statistical procedures etc. This technique is known to be extremely effective when it comes to measuring latent constructs. Many of us might be familiar with concepts like Multiple Regression Analysis and Factor Analysis, this in simple term, is a combination of these techniques. It is, in fact, a mere extension of General Linear Model. You can test a bunch of regression techniques at the same time. – PowerPoint PPT presentation

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Title: SEM Using AMOS | Data Mining | Analysis Of A Moment Structure | Big Data Analytics | Structural Equation Modelling


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SEM Using AMOS
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Statswork
www.statswork.com
Statistical Consulting Company
3
What is SEM Structural Equation Modelling (SEM)
is a widely used technique in statistics to
primarily study relationships based on
structures. It encompasses various models
involving mathematics, statistical procedures
etc. This technique is known to be extremely
effective when it comes to measuring latent
constructs.
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SEM Using AMOS
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Benefits Of SEM
Here are some of the significant benefits of
using Structural Equation Modelling as a
technique If you are a researcher looking to
expand your scope, using SEM would be the ideal
choice for the assumptions which brings a lot of
clarity and they are testable too. It enables
survey sampling analyses. Coefficients, means and
variances from different subjects can be compared
at once. You can use models that are not standard
including databases containing data which is not
enough and incorrectly distributed.
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Functioning of SEM As a researcher, you ought to
begin by choosing a model. And, you have to
collect data only after figuring out how to
evaluate constructs. Finally, you supply the SEM
software with sufficient amount of data. The
software then fits the data to the chosen model
and generates the outcome. The outcome would
usually include estimates and overall model fit
figures.
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SEM And AMOS
AMOS
SEM
SEM as a technique is largely dependent on this
statistical software called AMOS (Analysis of
Moment Structures). It produces tabular results
similar to the ones, one can see in SPSS,
considering it is an added module of the same.
Structural Equation Modelling (SEM) is a widely
used technique in statistics to primarily study
relationships based on structures. It encompasses
various models involving mathematics, statistical
procedures etc.
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SEM Using AMOS
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Use Big Images To Show Your Ideas
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  • Methods used by AMOS
  • UnWeighted Least Squares It eliminates residual
    errors in order to access the conditional mean.
  • Generalised Least Squares It estimates the
    coefficients in a linear regression model if some
    correlation exists amongst the residuals.
  • Generalised Least Squares It estimates the
    coefficients in a linear regression model if some
    correlation exists amongst the residuals.

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  • Model Construction
  • Data Input You will need to enter your data for
    the purpose of SEM Analysis. Choose a name for
    your file and record your data in AMOS.
  • Icons Go with Rectangle and Circle icons for
    observed and unobserved variables respectively.
  • Establishing Relationships Draw an arrow to
    denote the relationship between observed and
    unobserved variables.
  • Covariance Choose a double-headed arrow to
    denote the covariance amongst variables.
  • Error Term The icon denoting the same is
    situated next to the unobserved variable icon.
    The Error Term icon is present to chart the
    latent variable.

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  • Text Results in AMOS
  • While graphic window will only show you some part
    of the data including standardized and
    unstandardized regressions, text output will
    reveal the results in its entirety.
  • Number of Variables The number of observed and
    unobserved variables used in the process of SEM
    analysis will be revealed.
  • Data normality It is important that the data
    used in SEM analysis is normally distributed. The
    text output of AMOS will help us gauge the
    normality of data.
  • Impact of Path Analysis Modification Index
    results tell us how impactful the path drawn by
    you can be, if the index is high, it is a sign
    for you to draw more paths.

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Thanks!
Any questions?
You can find me at info_at_statswork.com www.statswo
rk.com
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