Professor Gregory John Lee is currently the Research Director and an Associate Professor in Research Methodology and Decision Sciences at the AMBA-rated Wits Business School, Johannesburg, South Africa. He has authored books on HR Metrics, including his newest title, Business Statistics Made Easy in SAS. Lee focuses on issues in human resource management, notably HR metrics, in which he has established himself as a leading expert, and other areas such as training, employee turnover, and the employee-customer link. He has served in many capacities within the international academic field and has sat on the GMAC Advisory Council, the editorial board of the Journal of Organizational and Occupational Psychology, and he engages in frequent reviewing for many journals. In addition, Lee is a well-known consultant, writer, and speaker in the corporate and practical management arenas, notably in the area of HR metrics but extending to other areas such as human resources strategy and foresight.
In my SAS Press book Business Statistics Made Easy in SAS® I place a strong focus on the skill of extrapolating analytics/statistical outcomes to key business implications (similar techniques can be used to link statistics to other key societal outcomes). Unfortunately, business analytics often stops short of defining the impact
In “Explaining statistical methods to the terrified & disinterested: A focus on metaphors”, I discuss the usefulness of metaphors for explaining abstract statistical concepts to non-technical readers. This is an approach taken in my new SAS Press book, Business Statistics Made Easy in SAS®, since many readers of this level
In a previous blog I suggested that many readers in many applied areas are reading statistics texts under duress for a course or project, and are in truth somewhere between disinterested and terrified. In my new SAS Press book Business Statistics Made Easy in SAS® I make use of various
One of the frustrating outcomes of the data import process is when a variable that you need to be numeric is imported as character. This often happens because the column of data contains non-numeric data, for example, where blanks in a database are exported as “NULL” instead of a true
Many readers in applied areas (business, health, psychology & sociology, education, and several others) are reading statistics texts under duress for a course or project, and are in truth somewhere between disinterested and terrified. In my new SAS Press book Business Statistics Made Easy in SAS® I knew that I
