SPRING 2007

Lecture 11/1-2007: Gra6020-00-2007spring.ppt and Gra6020-1-2007spring.ppt

Plan: GRA 6020Spring2007.doc

Lecture 18/1-2007: OLS regression. See slide Gra6020-1-2007spring.ppt. We will also cover some basic statistics.

Soft ware examples from SPSS and LISREL

The plan is corrected: GRA 6020Spring2007.doc

Case 2006: CASE GRA 6020-2006endelig.doc

SPSS file: admit.sav

Slides for lectures in week 4 and 6: Gra6020-2-2007spring.ppt

OLS-regression data: wine5vars.sav

Lecture 8/2-07: (Gra6020-2-2007spring – LOGIT regression): Gra6020-3-2007spring.ppt

Extra slide: extra-3-2007spring.ppt

Lecture 15/2-07: The Logit Model

Mult.choice ex: Gra6020-week7-multchoice.doc

Some extra slides: Gra6020-4-2007spring.ppt

Lecture 1/3-07: Gra6020-5-2007spring.ppt

Data Set: Npv.psf

Assignment week 9/10: The file NPV.PSF is a LISREL file. Use the file (and the software LISREL) to estimate a suitable factor structure

for the nine variable. Look at the “Rotated tables, e.g., VARIMAX and PROMAX. Is it possible to simplify so that each variable only loads on one factor?

Lecture 8/3-07: Confirmatory Factor Analysis: Slides from 1/3

Lecture 15/3-07: Gra6020-6-2007spring.ppt (Assignments on the last two slides)

Data set: CI-week11.psf and efficacy2005.psf

Syntax for the efficacy2005.psf – data set. Obs – you have to estimate/calculate the covariance matrix S and the

asymptotic covariance matrix ACOV. Put the file names which you choose into the syntax (name)

DA NI=6 NO=1719 MA=CM

CM FI=name.cov

AC FI=name.acm

MO NX=6 NK=2

PA LX

1 0

0 1

OU ML

Lecture 22/3-07: Confirmatory factor analysis, measurement models. Validity and measures of reliability will be discussed.

We start with the “country image” model, data set: CI-week11.psf – assignment from week 11. Ch.11 in Hair et al. is recommended.

Slides: Gra6020-7-2007spring.ppt

Lecture 12/4-2007: Gra6020-8-2007spring.ppt

Lecture 19/4-2007:

”Bagozzi’s Model” (The relationships between performance and satisfaction in an industrial sales force)

Da ni=8 no=122 ma=km

0.418 1

0.394 0.627 1

0.129 0.202 0.266 1

0.189 0.284 0.208 0.365 1

0.544 0.281 0.324 0.201 0.161 1

0.507 0.225 0.314 0.172 0.174 0.546 1

-0.357 -0.156 -0.038 -0.199 -0.277 -0.294 -0.174 1

mo ny=3 nx=5 ne=2 nk=3 be=fu

PA LY

0 0

0 1

PA LX

1 0 0

0 1 0

0 0 0

VA 1 LX 5 3

VA 0.15 LY 1 1

FI TE 1 TD 5

VA 0.44 TE 1

FI ga 1 1 GA 2 2 GA 1 3

FR BE 2 1

Slides: Gra6020-9-2007spring.ppt

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SPRING 2006

Some info ad. Exercises on Thursday

The software in week 5-6 will be both SPSS and LISREL

1) Based on experience from today (020206) we will organize the exercise in the following way (next week):

a) About 30 min. introduction from the instructors

b) The rest of the time will be “on your own” with help from the instructors

2) There will also be a “crash course” in simple software application (SPSS and LISREL). See blackboard for more information

3) The problems from the lectures week 5-6, will be discussed in the class in week 7

Scientific Software (Download for LISREL):

http://www.ssicentral.com/

Lecture 120106

Powepoit files:

Gra6020-info-2006spring.ppt

Gra6020-00-2006spring.ppt

Gra6020-1-2006spring.ppt

Word files:

Gra6020-1-2006-Overview of the sessions.doc

Gra6020assign1-2006.doc

PSF files:

Npv.psf

Lecture 190106

1) We will focus on OLS-Regression (See slide Gra6020-1-2006spring.ppt)

2) Data sets: affairs2005.PSF and affairs2005.sav. Klein2006.psf and klein2006.sav

3) Assignment:ASSIGNMENTWEEK3_gra6020.doc

Lecture 060406

1) Non-Normality estimators and RMSEA: Gra6020-8-2006.ppt

2) Four Chi-squares: C1-C4.doc

3) Mult.choice ex: Questions.doc

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Lecture 260106

OLS regression and The LOGIT model

1) Powerpoint file: Gra6020-2-2006spring.ppt

2) Data set: Binomgra1.sav

Exercise thursday 020206: Exeercise1-spring2006.doc

Exercise Thursday 090206: Exercise090206.doc

Data file: Binomgra1.psf ; Binomgra1.sav ; Gra6020-case-reg-2004v.psf and gra6020-case-regr-2004v.sav

Crash course material 070206: Case statistics.doc; case.sav

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Lecture 160206

Factor Analysis: Gra6020-3-2006.ppt

Data set for factor analysis: Npv.psf (Nine psychological test data)

Assignment week 7: The file NPV.PSF is a LISREL file. Use the file (and the software LISREL) to estimate a suitable factor structure

for the nine variable. Look at the “Rotated tables, e.g., VARIMAX and PROMAX. Is it possible to simplify so that each variable only loads on one factor?

THE LECTURE NEXT WEEK (Thursday 230206) will be from 11.00 to 13.45; i.e., 3 hrs.

Lecture 230206

Factor Analysis:Gra6020-4-2006spring.ppt

We will play with the dataset NPV.psf

Assignment week8-9: Assignment week 8_2006.doc and :efficacy2005.psf

LISREL FILE: NPVweek8.ls8

Lecture 020306

CFA and measurement models: Gra6020-5-2006spring.ppt

Exercise Thursday 090306: Exercise 090306.doc

Exercise Thursday 160306: Exercise 160306.doc

Lecture 230306

CFA and SEM: Gra6020-6-2006.ppt