New User Special Price Expires in

Let's log you in.

Sign in with Facebook


Don't have a StudySoup account? Create one here!


Create a StudySoup account

Be part of our community, it's free to join!

Sign up with Facebook


Create your account
By creating an account you agree to StudySoup's terms and conditions and privacy policy

Already have a StudySoup account? Login here

Sem Sch Mgmt & Budget

by: Dee Bechtelar

Sem Sch Mgmt & Budget EDLD 607

Dee Bechtelar
GPA 3.89


Almost Ready


These notes were just uploaded, and will be ready to view shortly.

Purchase these notes here, or revisit this page.

Either way, we'll remind you when they're ready :)

Preview These Notes for FREE

Get a free preview of these Notes, just enter your email below.

Unlock Preview
Unlock Preview

Preview these materials now for free

Why put in your email? Get access to more of this material and other relevant free materials for your school

View Preview

About this Document

Class Notes
25 ?




Popular in Course

Popular in Educational Leadership

This 3 page Class Notes was uploaded by Dee Bechtelar on Tuesday September 8, 2015. The Class Notes belongs to EDLD 607 at University of Oregon taught by Staff in Fall. Since its upload, it has received 55 views. For similar materials see /class/187161/edld-607-university-of-oregon in Educational Leadership at University of Oregon.

Similar to EDLD 607 at UO

Popular in Educational Leadership


Reviews for Sem Sch Mgmt & Budget


Report this Material


What is Karma?


Karma is the currency of StudySoup.

You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

Date Created: 09/08/15
Confirmatory Factor Analysis CFA Stevens Fall 1997 Model Speci cation The general CFA Model in SEM notation is XiAXEk65 where Xi a column vector of observed variables Ek ksi a column vector of latent variables AX lambda an i X k matrix of structural coefficients de ning the relations between the manifest X and latent E variables 66 thetadelta an i X i variancecovariance matrix of relations among the residual or error terms of X This general equation indicates that each manifest variable can be represented by a structural equation relating lambda ksi and thetadelta For example the Reisenzein 1986 SympathyAnger model can be represented by the path model on the following page Given that representation the following set of structural equations define the model X1 A11 1 6611 X All 1 6622 N X3 A31 1 6633 X4 A42 2 6644 X5 A52 2 6655 X6 A62 2 6666 Of course these equations can also be represented in matrix form which we will do in class An additional matrix is also necessary for model estimation the phi ltIgt matrix which is a variancecovariance matrix specifying the relationships among the latent E variables Mntlelm nrm t n Rnllm lolln there I Y f This isnsn y dune arhitrarilyhy nnenltwn methmls Methml the strnetnral enemeient Ax quotlnadingquot far one nfthe manilest variable is not estimated but is kl lnr all remaining lambdas and fertile variance nfthe relevant ksi Methml z the variances nfthe latent variables 5 are set to La Z mm 12 elements in the variancecovariance matrix where q a nlvariahlesin X X7Z 21 elements The numbernlparameters in the model ist 4 am 1 1 h h erm t Ix 39 13 parameters 39 waythe mmlel therelnre has21 r 13 l degreesnffn dnm 2 Model Estimation As described in the previous handout as long as the SEM model is overidentified iterative estimation procedures most often Maximum Likelihood are used to minimize the discrepancies between S the sample variancecovariance matrix and 26 the model implied estimate of the population variancecovariance matrix measured as F the tting function The CFA model can be used to attempt to reproduce S through the following equation note that now the phi matrix becomes part of the model 20 AXCDAX 05 This equation indicates that a variancecovariance matrix is formed through manipulation of the structural matrices implied by the specified CFA model This then provides a basis for evaluating goodnessof t GOF as in 72N1F


Buy Material

Are you sure you want to buy this material for

25 Karma

Buy Material

BOOM! Enjoy Your Free Notes!

We've added these Notes to your profile, click here to view them now.


You're already Subscribed!

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

Why people love StudySoup

Steve Martinelli UC Los Angeles

"There's no way I would have passed my Organic Chemistry class this semester without the notes and study guides I got from StudySoup."

Janice Dongeun University of Washington

"I used the money I made selling my notes & study guides to pay for spring break in Olympia, Washington...which was Sweet!"

Jim McGreen Ohio University

"Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

Parker Thompson 500 Startups

"It's a great way for students to improve their educational experience and it seemed like a product that everybody wants, so all the people participating are winning."

Become an Elite Notetaker and start selling your notes online!

Refund Policy


All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email


StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here:

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to

Satisfaction Guarantee: If you’re not satisfied with your subscription, you can contact us for further help. Contact must be made within 3 business days of your subscription purchase and your refund request will be subject for review.

Please Note: Refunds can never be provided more than 30 days after the initial purchase date regardless of your activity on the site.