Understanding the Results of Multiple Linear Regression: Beyond Standardized Regression Coefficients

Multiple linear regression (MLR) remains a mainstay analysis in organizational research, yet intercorrelations between predictors (multicollinearity) undermine the interpretation of MLR weights in terms of predictor contributions to the criterion. Alternative indices include validity coefficients, structure coefficients, product measures, relative weights, all-possible-subsets regression, dominance weights, and commonality coefficients. This article reviews these indices, and uniquely, it offers freely available software that (a) computes and compares all of these indices with one another, (b) computes associated bootstrapped confidence intervals, and (c) does so for any number of predictors so long as the correlation matrix is positive definite. Other available software is limited in all of these respects. We invite researchers to use this software to increase their insights when applying MLR to a data set. Avenues for future research and application are discussed

The asymptotic distribution of commonality components

commonality analysis, multiple regression,

Educational Design and Construction: Processes and Technologies

There are no one-size-fits-all steps for tackling different design challenges within the context of education. There are, however, processes and activities that are often useful. Developing a repertoire so that designers can select and use the most fruitful and fitting approaches for specific situations is the focus of this chapter. After discussing this phase in relation to those of analysis and evaluation, attention is given to how both analytical and creative perspectives can serve the work of design and construction. The body of the chapter is devoted to presenting specific activities that can be undertaken during design (exploring and mapping solutions) and construction (actually building the solutions). This chapter presents ideas in linear fashion, which loosely approximates the order in which these activities might logically be carried out. However, each design project is different. Not all activities described here are useful in all projects, others are likely to be added, and several activities described in this chapter often take place simultaneously