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Hi All-
Please review the material on normal distribution so that we can go over it in class. Make sure to have tried problems to see if you understand the material and be prepared to ask questions if you need to do so. Read the chapter on Sampling in the text book. Be prepared to ask questions on test material and to decide what you want to do for the next examination.
See you all
Tarynn
Hi Everyone-
Here are the lecture notes for today's lecture on the Gaussian distribution.
More to follow soon.
Tarynn
Hi All
You should have read textbook Chapter 10 entitled "The Normal Distribution". I do not expect anyone to get it right away. However, you will find that once we review it, it will not be nearly as difficult as you think. Continue to work on your SPSS database construction for your research project, continue to work on your paper and your presentation. Don't forget you need to make a 15 minute appointment with me to go over your project before you start gathering the data. We have a special guest speaker on 6 March 2006. Dr. Ayn Welleford, Chair of Gerontology and an expert in qualitative research will be lecturing to you while I am away. Please be prompt to class and make her feel welcome. She is a dear friend and an excellent, excellent teacher.
Tarynn
Hi Everyone
Well, this was our comprehensive review of Chapter 8 of the text book. We re-reviewed all of the material and did a number of problems to make sure that everyone new how to do the following:
(1) Plotting all of the different 2 and 3D plots we have discussed including interactive 3D.
(2) Using the Transform -> Compute mode of SPSS to compute actual values, residual values, error and sum square error
(3) Running the Linear Regression and Interpreting Results .
At this point we are now done with this material and are moving on to the next chapters. You are to read Chapter 9 in your text book as a review. We will not be covering it.
Tarynn
Hi Everyone
Well, after reading the Lecture 3 takehome message, I would be freakin out. We sure did do a great deal. But not to worry. We will be doing it all again in class. So re-read the chapter and make sure that you have it all in your head for the big demo problems. Then we move on to distributions and the normal distribution.
See you all next week.
Tarynn
Hi All
I know that we had quite a tough class there this past week. But don't worry, we will review the material again and then have a practice homework problem. So let's review what we covered:
(1) We reviewed the PRE measures and how to obtain them. You should now know how to calculate lambda and gamma both by hand and by using SPSS. You should be able to interpret the results of these calculations. This means that you should also be able to understand cross-tabs.
(2) We reviewed all of the major modes for generating graphs. At this point, you should be able to do all of the major 2D graphs (scatter, histogram, line, dot, pie, error bar, etc) and you should know be able to do the interactive 3D graphs. Further, you should be able to use the interactive mode to assist you in interpreting the 3D plot with respect to linear vs. nonlinear behavior.
(3) We discussed the concepts of sum squared error/deviation and how to calculate it using mathematical formulae. We then covered the Transform -> Compute mode of SPSS and used it to compute the complex formulae in a more rapid fashion. We also used this mode to show how to transform data in different ways, such as log transform.
(4) We discussed the concepts behind linear regression. We talked about data pairs, regression lines, estimates of slope and intercept of the line, and predictions based upon the estimates. From this we discussed the idea of error of the prediction and the concept of sum squared error. We introduced the concept of r-squared as a PRE measure and briefly discussed how to interpret it. We closed our discussion with how to use SPSS to compute the regression line and we looked at how to find the coefficients.
PowerPoint (20 slides)- Print out Handouts for class (25)
1) Title Slide with title of project and your name
2) Statement of Research Question
a. State Problem
b. Research questions
c. Hypotheses
3) Why this is important to Social Work
a. Literature Review
b. Relate to importance in Social Work
4) Data Gathering
a. Demography
b. Major questions to answer
c. Results
5) Take Home Message
6) Flaws, Future Direction, Issues of Concern
Paper, APA Format
1) Title Page
2) Abstract , <50 words and List of Keywords
3) Introduction
a. Problem Statement, what and why
b. Literature Review
c. Hypotheses
4) Study Design
a. Where data is from
b. Trouble with data
5) Results
a. Demographics
b. Stats that address hypotheses
c. NOTE: Cut and paste tables into this part of the report. Do not add in appendix
6) Flaws, Problems, Future Direction
7) Discussion
a. What does it mean?
b. How does it apply?
8) References- APA format
9) Appendix- Include copy of instruments
10) Final CD, due exam day of class: CD to contain Paper, PowerPoint, PowerPoint Handout, and SPSS dataset
Hi All -
For Lecture 3, please re-read the material on linear regression, covariance and correlation in the text book. In addition, if you purchased the Simple Guide to SPSS for Windows text, read chapters 14 and 15 on correlation and simple linear regression. We will begin with this material in the class. See you all next week.
Tarynn
Hi All
Well the big take home message is congratulations on finishing your IRB proposals! You have all really done a great job at getting through the first part of the material. You have now all officially earned your 1st semester grades.
Today we covered the following topics:
(1) Review of PRE measures . We discussed some examples of the PRE measures and how to interpret what they were saying. We reviewed how to use SPSS Cross-tabs to obtain the PRE measures.
(2) Graphical Data Visualization . We covered some of the more advanced graphical interfaces including 3D interactive graphing. We demonstrated how and why it was important to look at the data before we begin to statistically analyze it.
(3) Transformation of Data . We covered the use of the Transform menu and demonstrated how we could transform data into linear forms using the ln-ln transformation.
(4) Linear Regression We briefly looked at the Regression - Linear module of SPSS and examined a bit of the output.
I handed out some handouts for you all to examine and begin to familiarize yourself with different terms such as the r-squared variable, correlation/covariance, and basic formulae for linear regression. We will go over those in the upcoming lecture.
In addition, we talked about what you could be doing to prepare for the rest of the semester with respect to your final powerpoint presentation, your final paper and building your SPSS database for the class. We discussed the basic structure of the final paper and the final presentation and we talked about how to go about thinking about your SPSS database. We will address these issues further as we continue through the course.
Have a great week
Tarynn