[Sora] Request for Reference Library Recommendations

REW Josh - ODE josh.rew at state.or.us
Wed Jan 18 13:19:48 PST 2017


This is what I have at my desk and I find it quite valuable and handy:

·         Multivariate Regression in Behavioral Research by Pedhazur

·         Modern Measurement by Osterlind

·         Structural Equation Modeling by Hancock and Mueller

·         Latent Variable Modeling with R by Finch and French

·         Theory and Practice of Item Response Theory by de Ayala

·         Applied Econometrics with R by Kleiber and Zeileis

·         Mostly Harmless Econometrics by Angrist and Pischke

·         Social Network Analysis by Wasserman and Faust

·         Experimental and Quasi-Experimental Designs by Shadish, Cook, and Campbell

·         Statistical Power Analysis by Cohen

·         Hierarchical Linear Models by Raudenbush and Bryk

·         Methods Matter by Murnane and Willett

·         Statistical Methods for Psychology by Howell

·         Research Design and Statistical Analysis by Myers and Well

·         Econometric Analysis of Cross Section and Panel Data by Wooldridge

·         Design of Observational Studies by Rosenbaum

·         Statistical Analysis of Questionnaires by Bartolucci et al.

W. Joshua Rew, Ph.D.
Education Program Specialist (Measurement/Psychometrics)
Accountability, Research, and Information Services | Oregon Department of Education
255 Capitol Street NE ∙ Salem, OR ∙ 97310-0203
(503) 947-5845 | josh.rew at state.or.us<mailto:josh.rew at state.or.us>

P  Please consider the environment before printing this e-mail.

From: Sora [mailto:sora-bounces at listsmart.osl.state.or.us] On Behalf Of BURCSU Theresa * DAS
Sent: Wednesday, January 18, 2017 12:30 PM
To: State of Oregon Research Academy
Subject: Re: [Sora] Request for Reference Library Recommendations

My favorite stats texts are

Sokal and Rohlf’s Biometry
Kleinbaum, Kupper, and Muller’s Applied Regression Analysis and Other Multivariable Methods
Fotheringham, Brunsdon, and Charlton’s Quantitative Geography

I also sometimes like to review concepts and techniques in Cressie’s Statistics for Spatial Data, but find it a challenging read.




From: Sora [mailto:sora-bounces at listsmart.osl.state.or.us] On Behalf Of Little Jessie M
Sent: Wednesday, January 18, 2017 11:25 AM
To: State of Oregon Research Academy <sora at listsmart.osl.state.or.us<mailto:sora at listsmart.osl.state.or.us>>
Subject: Re: [Sora] Request for Reference Library Recommendations

This may be more complex than most people need, but I’ve always really enjoyed this site for looking at the various statistical distributions: http://www.math.wm.edu/~leemis/chart/UDR/UDR.html.  It links them all and shows how they are related, and has a good description of each one.

If people are looking for things to learn and/or practice SQL, I haven’t used it, but I’ve heard this site is particularly good: https://pgexercises.com/
And for working on general programming skills this site has great programming puzzles of varying difficulty: https://projecteuler.net/

If you’re using a lot of excel I find any of the mrexel library books or mrexcel resources to be very good.  I have the VBA and Macros book and use it fairly frequently and find it mostly fairly detailed and straightforward.



Jessie Little
Research Analyst 4
Actuarial Services Unit
Fiscal and Operations Division
JESSIE.M.LITTLE at state.or.us<mailto:JESSIE.M.LITTLE at state.or.us>
971-673-2321


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From: Sora [mailto:sora-bounces at listsmart.osl.state.or.us] On Behalf Of BARCIKOWSKI Ron
Sent: Wednesday, January 18, 2017 11:17 AM
To: State of Oregon Research Academy <sora at listsmart.osl.state.or.us<mailto:sora at listsmart.osl.state.or.us>>
Subject: Re: [Sora] Request for Reference Library Recommendations

Propensity Score Analysis by Shenyang Guo

From: Sora [mailto:sora-bounces at listsmart.osl.state.or.us] On Behalf Of BURCHARD William G * OED
Sent: Wednesday, January 18, 2017 9:49 AM
To: 'sora at listsmart.osl.state.or.us' <sora at listsmart.osl.state.or.us<mailto:sora at listsmart.osl.state.or.us>>
Subject: Re: [Sora] Request for Reference Library Recommendations

To get a good grasp on multivariate regression, I recommend Peter Kennedy, “A Guide to Econometrics.” The latest version is 6E, but you can get away with an older one.  It’s very well written, and is readable and intuitive, unlike many econometrics books. It won’t tell you how to work on the technical side as much, but will help with the foundations.

For SQL, in addition to books mentioned already, I would recommend using a program like Treehouse (which I’ve used for SQL) or CodeAcademy (haven’t used, but have heard good things). They are web-based tutorials/classrooms, and provide a workspace for learning code and working on projects. If someone is looking to learn for the first time, or even just brush up on SQL, I’d send them to one of these sites.

Will Burchard
Oregon Employment Dept., Workforce and Economic Research
william.g.burchard at oregon.gov<mailto:william.g.burchard at oregon.gov>

From: Sora [mailto:sora-bounces at listsmart.osl.state.or.us] On Behalf Of Brookshire Kayla
Sent: Tuesday, January 17, 2017 4:33 PM
To: 'sora at listsmart.osl.state.or.us' <sora at listsmart.osl.state.or.us<mailto:sora at listsmart.osl.state.or.us>>
Subject: [Sora] Request for Reference Library Recommendations

Good Afternoon SORA Members,

I am a Research Analyst with the Department of Justice, Division of Child Support. We are in the process of building a research analyst reference library for our team.

Given the expansive body of knowledge of SORA members, we wanted to reach out and ask: what are your recommendations for specific titles to add to our library?

We are particularly interested in obtaining references for the following areas:

•  SQL training materials, and

•  References for quantitative analysis (descriptive and inferential) including multivariate regression

Any recommendation of texts, manuals, handbooks, etc. from introductory to advanced level would be most appreciated.

Thank you all in advance,

Kayla M. Brookshire
Program Performance Analyst | Division of Child Support
Oregon Department of Justice
Child Support Program Administration
503.947.4639
oregonchildsupport.gov<http://www.oregonchildsupport.gov/>

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