Does One Size Fit All? A Case for Context-Driven Null Hypothesis Statistical Testing

Does One Size Fit All? A Case for Context-Driven Null Hypothesis Statistical Testing

Rodgers (2010a) asserted that the practice of null hypothesis statistical testing (NHST) follows a mechanistic and rule-based epistemology. This concern is addressed using historical and modern sources as evidence for NHST as a dynamic, context-driven framework for empowering researchers in scientific inquiry.

Does one size fit all?

A1C: does one size fit all?

D iabetes specialists almost uniformly nod their heads when I ask whether they see patients whose A1C results don't match their blood glucose monitoring data. Providers used to attribute that to unreliability of the monitors or the patient records, but technological advances overcame those barriers. Some mis-matches can be attributed to inadequate temporal distribution of glucose sampling , and...

Exploratory Testing: One Size Doesn't Fit All

Exploratory testing (ET) is a powerful and efficient way of testing software by integrating design, execution, and analysis of tests during a testing session. ET is often contrasted with scripted testing, and seen as a choice between black and white. We pose that there are different levels of exploratory testing from fully exploratory to fully scripted and propose a scale for the degree of expl...

Professionalism: one size does not fit all.

When a child is born with or acquires special needs, the parents may find some parental tasks more difficult. They may not know how to make their tasks easier, or that some parents find it exceptionally rewarding and meaningful to raise their children with special needs. This piece explores how clinicians might share this potentially life-altering information. It also explores when and why clin...