Current and upcoming readings.
The hotlinks are to electronic copies of papers in the ISU e-library. These are free if you access them from on campus. A few are free from off campus. Please do not pay for access to any of these! Instead, print it out the next time you're on campus.

• Week of Jan 12
  • Review of t-tests, standard error of mean, s.e. of diff.: Littell et al. sections 3.1, 3.2 (focus on 3.2.3), or the t-test material from the Statistical Sleuth (Chapter 2?) or other intro text.
  • Sample size and power concepts: Skim (i.e. read for main points but don't worry about all the details):
    
    • General overview of statistics in agronomy:
      Nelson and Rawlings 1983, Ten common misuses of statistics in agronomic research and reporting.
    • General overview in wildlife, use of power analysis:
      Cherry 1998, Statistical tests in publications of The Wildlife Society

• Week of Jan 21 (e-library links, free from on campus)
  • Power calculation for comparison of 2 means Karlsson et al. 2003. J. Arthroscopic and Related Surgery 19(9):997-999. Do not pay for access!
  • If you want a another discussion of the concepts, you might also look at: Devane et al. 2004. Journal of Advanced Nursing 47(3):297-302.
  • Contrasts (review): textbook (Littell et al.) pp 56 - 58, 60-62. We'll talk about sections 3.4.4 - 3.4.6 later.
    Or, Statistical Sleuth, section 6.2.

• Week of Jan 26, subsampling
  • Little et al., section 4.1, 4.2 (omit 4.2.3, 4.2.5)

• Week of Feb 2, more subsampling
  • Little et al., section 4.2.3 (concepts, we won't use GLM), first few paragraphs of section 4.2.5 (ignore stuff on BLUPs).

• Week of Feb 9, blocking
  • Little et al., section 3.5, pp 62-65, section 4.3, pp 106-112.
  • Mead, Experimental Design, skim Chapter 2.

• Week of Feb 16, issues in blocking
  • Fixed or random blocks: Littell et al., section 4.3.2.
  • Karcher et al. 2003, Crop Sci 43:2295-2297

• Week of Feb 23: intro to factorial designs
  • Plots to illustrate main effects and interactions: Factorial Designs, from Research Methods Knowledge Base
  • Plots for a 2x3 factorial: Factorial Designs, from Research Methods Knowledge Base

• Week of March 2: Contrasts and 2 way ANOVA
  • Introduction to contrasts: Pearce (1992a) Data analysis in agricultural experimentation. I. Contrasts of interest. Experimental Agriculture 28:245-253.
  • Factorial studies and contrasts: Read pp 379-383 in Pearce (1992b) Data analysis in agricultural experimentation. II. Some standard contrasts. Experimental Agriculture 28:375-383.
    The first part gives details on contrasts for quantitative treatments. It's very good information, but not directly related to the current lectures. We may talk about this at the end of the course.
• March 4: Effects model for 2 way ANOVA
  • Little et al., section 3.7. Read first parts; skim details on contrasts (e.g. 3.7.9)
• Mar 6, Factorials with unequal sample sizes
  • Littell et al (text): sections 5.1 and 5.2 (pp 141-147).

• Week of Mar 20
  • Split plot designs:
    • Littell et al. Section 4.6. Skim 4.6.1.1 (use of GLM, note last line on p 140).
    • Larry Douglass's (U MD) notes on split plot design and analysis.
      Note one small, but potentially confusing difference in interpretation between me and Larry. When Larry says blocks always present at the split plot level, he is refering to what I call the mini-block. When I ask are there blocks at the split plot, I'm asking whether there are additional blocks, in additional to the mini-blocking..