Making Sense of Statistics:

Do not come to your professors/advisors for statistical help without first attempting to learn it on your own. You're not infants groping for a nipple; you're young, capable scientists in need of answers. Those answers can (and should most often) come by way of one's own exploration. When you get stuck, that's when you come to your professor/advisor. And the first question you'll be asked is "what have you learned from your own investigation?" If the answer is "I haven't investigated; I'm just coming to you", that response will not be met with much warmth or a willingness to help. So make the most of your resources, like these:

Conducting and Interpreting Frequences and Descriptives in SPSS (Paper Mill PDF)

Conducting and Interpreting Chi Squared Tests in SPSS (Paper Mill PDF)

Conducting and Interpreting T-Tests (Independent-Samples and Paired-Samples) in SPSS (Paper Mill PDF)

Conducting and Interpreting Bivariate Correlations in SPSS (Paper Mill PDF)

Conducting and Interpreting Poisson and Negative Binomial Regressions in SPSS (Paper Mill PDF)

4-Part Lecture on Linear & Logistic Regression (Part 1)

4-Part Lecture on Linear & Logistic Regression (Part 2)

4-Part Lecture on Linear & Logistic Regression (Part 3)

4-Part Lecture on Linear & Logistic Regression (Part 4)

Lecture on Sensitivity, Specificity, and ROC Curves

Journal article on correlation coefficients

Book chapter on correlation

Book chapter on negative binomial regression

Princeton University Library: Data and Statistical Services.: Princeton.edu/online_help/stats_packages This is a great source for learning Stata (pretty good for R, mediocre for SPSS). And for learning statistical tests. Pretty good for that, too.

Denegar CR, Jensen CD. (2015). Understanding the Research Perspective: Basic, Applied, and Clinical Investigations. In: Armstrong LE, Kraemer WJ. ACSM Research Methods, 1st Edition. Philadelphia: Lippincott Williams & Wilkins.