Path analysis and Structural Equation Modelling (S
Institution
Path Analysis And Structural Equation Modelling (S
Path analysis correct answers several multiple regressions run simultaneously.
SEM correct answers Makes clearer, more pure estimates of variances, covariances, and if asked, means and intercepts. More advanced than main stream stats.
Why SEM? correct answers Models cannot be run in SPSS, so ...
Path analysis and Structural Equation Modelling (SEM) ||
Already Graded A+.
Path analysis correct answers several multiple regressions run simultaneously.
SEM correct answers Makes clearer, more pure estimates of variances, covariances, and if asked,
means and intercepts. More advanced than main stream stats.
Why SEM? correct answers Models cannot be run in SPSS, so need to understand how to do.
Measure an important variable i.e. dependent variable, specify theoretical relationship, est. the
variables that fit the relationship. Then check how strongly the estimated variables agree with the
actual variables.
Drawing: rectangles and squares correct answers Measured variables
Drawing: eliipses and circles correct answers Latent or unmeasured variables. i.e. intelligence
when measuring IQ, we infer intelligence. Also used to measure variance.
Drawing: straight lines with single head correct answers b-weights, direct relationships, or factor
loadings
Drawing: straight lines with double head correct answers reciprocal b-weights-the factor loading
goes in both directions
The independent variable in the drawing correct answers Will be set as .00, as we are not
explaining that variable. The value on the other variable is what we are explaining.
Correlation correct answers covariance
Factor analysis drawing correct answers The arrows point away from the factor (latent variable)
towards the other variables. Variances arises in the factor and gives rise to the measured
variables. Then look at Goodness of Fit Test, gives a chi-square value, if non-sig it is a good fit.
AMOS more accurate than SPSS.
Multiple regression drawing correct answers The arrows point from the variables to the DV
Factor analysis: communalities correct answers The amount of variance within a variable
explained by all the factors that load onto it.
, Two elements of model structure correct answers 1. The measured model: all the measured
variables. 2. The structural model: all the latent variables (not used in path analysis but used in
SEM) and the relationships between them and the measured model.
The circles with an 'e' inside correct answers Variances
Naming variables correct answers Name or label. Name connect variable to data file. Labels are
nicknames. Don't need variable label. Must have a variable name.
Three kinds of relationships correct answers 1. Covrainces or correlations. 2. Direct factor
loadings (b-weights). 3. Reciprocal factor loadings.
IV or DV? correct answers Variables can serve as IVs, DVs or both. Accordingly new
nomenclature is used: Unoverserved-exogenous, observed-endogenous, unobserved endogenous,
observed-exogenous
Unobserved-exogenous correct answers Unmeasured, inferred variables. Typicall errors,
residuals or disturbances. In circles. 'e's'?
Observed-endogenous correct answers measured variables that contribute to other variables.
Explained by reference to other variables. In squares.
Unobserved-endogenous correct answers Unmeasured variables that contribute to other
variables. Explained by reference to an exogenous variable. In ellipses (ovals)
Observed-exogenous correct answers Measured variables that are explained not further. An IV.
In a rectangle.
Observed variables correct answers We have measured it
Unobserved variables correct answers We have not measured it, inferring
Exogenous correct answers Outside, pointing at something within the model. Nothing points to
it.
Endogenous correct answers Inside and something points to it.
How does SEM work? correct answers We fit some stat. model to the measured data. The degree
of agreement between the model and the data is called fit.
Fit correct answers The degree of agreement between the model and the data i.e. when you try on
a new jumper, the degree to which it fits you is the degree of the model (the jumper) fit the data
(you). If agreement between the two, there is very little error and the chi-square is small.
Agreement in SEM correct answers Check agreement between X as measured (you) and X as
estimated (jumper). Chi square.
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller FullyFocus. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $10.49. You're not tied to anything after your purchase.
