Isolating the Effects of Training Using Simple Regression Analysis: An Example of the Procedure.

Autor/in	Waugh, C. Keith
Titel	Isolating the Effects of Training Using Simple Regression Analysis: An Example of the Procedure.
Quelle	(2001), (23 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Adult Education; Banking; Case Studies; Cost Effectiveness; Job Training; Outcomes of Education; Predictive Measurement; Predictor Variables; Program Effectiveness; Regression (Statistics); Salesmanship; Staff Development; Vocational Education + Suchen Sie Ihr Suchwort? Adult; Adults; Education; Adult basic education; Adult training; Erwachsenenbildung; Bankgeschäft; Case study; Fallstudie; Case Study; Kosten-Nutzen-Analyse; Kosten-Nutzen-Denken; Berufsqualifizierender Bildungsgang; Lernleistung; Schulerfolg; Prädiktor; Regression; Regressionsanalyse; Personnel development; Personalentwicklung; Ausbildung; Berufsbildung
Abstract	This paper provides a case example of simple regression analysis, a forecasting procedure used to isolate the effects of training from an identified extraneous variable. This case example focuses on results of a three-day sales training program to improve bank loan officers' knowledge, skill-level, and attitude regarding solicitation and sale of loans to new business accounts. It outlines 10 procedural steps taken to identify the most appropriate performance indicator of training success; isolate the effect the three-day training program had on the performance indicator from the most potent extraneous variable; and calculate the return on investment (ROI) of the training program. The 10 procedural steps are the following: (1) identify performance indicator and extraneous factor to be measured; (2) calculate correlation between the performance indicator and the extraneous variable; (3) calculate the slope of the regression equation; (4) calculate intercept [a] of the regression equation; (5) calculate the predicted value of the performance indicator [y] given an extraneous variable value [x]; (6) calculate standard error of estimate [See]; (7) calculate standard error of forecast [Sef]; (8) calculate a confidence interval around the predicted value; (9) calculate monetary benefits of the training program; and (10) calculate ROI. The conclusion is the monetary benefits of the training produced a ROI of 21.19 percent; for every dollar invested in the training program, $0.21 was returned beyond cost of the training. (YLB)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC