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Recent Articles

Forensic Science Curricular and Career Planning: A Modified Systems Theory-Based Model for Student Advising

Following the rise in popularity of forensic science, fueled by the media and perhaps necessity, comes the demand for an effective and productive approach to advising students interested in a career in this vast area. Forensic science is a large-scale umbrella term encompassing a multitude of disciplines. Whereas “forensic” means legal, any discipline that has an application to law or the legal system may be considered a “forensic science”. With the seemingly ever-increasing lure of forensic science as a career option, the question arises as to how best to assist students in making a dream job a reality. The purpose of this research is twofold: (1) summarize findings from forensic science job listings in the United States and (2) provide a framework, derived largely from Systems Theory, for understanding the advisee skillset, and suggest a model for a step by step career decision-making and curricular planning approach for professionals working in an advising capacity.

Consistent Confidence Limits, P Values, and Power of the Non-Conservative, Size – α Modified Fisher exact Test

The classical Fisher exact test [1], which is unconditionally the uniformly most powerful unbiased (UMPU) test, requires randomization at the critical value(s) to be of size α. Obviously, one needs a non-randomized version of this. Rejecting the null only if the test-statistic’s outcome is more extreme than the critical values, reduces the actual size considerably. The modified Fisher exact test introduced in [2] additionally rejects the null when the test attains the critical value c(t) and the randomization probability γ(t) (that depend on the total number of successes T) exceeds a threshold γ0, which is determined such that, for all values of the nuisance parameter, the size of the unconditional modified test is smaller, but as close as possible to α. This greatly improves the size and power of the test as compared to, for example, the conservative nonrandomized Fisher exact test, while controlling the Type 1 error rate.