Tag: analytics
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In the world of training research, many of the relationships we consider rest on a variety of statistical assumptions. First, we assume that we’re using comparable units of measurement that are at similar levels of specificity—in other words, not only...
According to a recent World Health Organization report, the world needs 7.2 million more health care professionals to ensure adequate global health. To make up this shortfall, millions of new health care professionals need to be trained.
The first path analysis article introduced the path analysis framework for testing theories of cause and effect relationships, as well as the reduced-form path model as the basis for quantifying training impact at a macro-level.
Since launching JPL’s learning solutions video blog over a year ago, learning and development leaders from prominent organizations across many industries have shared insights into current learning trends.
Introducing Path Analysis as a Tool for Modeling and Quantifying Impact of Training Theories, Part I
Books and articles written on how to measure the impact of training are abundant. There have been many forums and roundtables with training experts advising and guiding on how to measure and quantify training’s impact to the business.
The learning and development profession is filled with intelligent, committed and experienced individuals, who appreciate the relevance and importance of the profession to businesses.
Mark Twain’s popularized phrase, “There are three kinds of lies: lies, damned lies and statistics,” may seem like an odd way to lead into something that supports the use of metrics, but it highlights the fact that just because there’s a bar graph,...
Research findings published in academic journals can be complex and hard to access. Trust me, I struggled with my fair share of those articles in graduate school, and know firsthand how daunting they can be to interpret. My goal with this and future blog...