We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…

Critically examining common statistical approaches and their strengths and weaknesses is an important step in advancing recreation and leisure sciences. To continue this critical examination and to inform methodological decision making, this study compared three approaches to determine how alternative approaches may result in contradictory…

Lynn (2010) suggests that differences in average intelligence explain many of the differences observed across the Italian regions. This paper puts forward a methodological critique to his study, coupling it with an empirical test showing that Lynn's analysis is not sufficiently robust to support its conclusions. (Contains 2 tables.)

Beraldo (2010) and Cornoldi, Belacchi, Giofre, Martini, and Tressoldi (2010) (CBGMT) have eight criticisms of my paper (Lynn, 2010) claiming that the large north-south differences in per capita income in Italy are attributable to differences in the average levels of intelligence in the populations. CBGMT give results for seven data sets for IQs in…

Working with data from the PISA study (OECD, 2007), Lynn (2010) has argued that individuals from South Italy average an IQ approximately 10 points lower than individuals from North Italy, and has gone on to put forward a series of conclusions on the relationship between average IQ, latitude, average stature, income, etc. The present paper…

Limitations of dummy coding and nonsense coding as methods of coding categorical variables for use as predictors in multiple regression analysis are discussed. The combination of these approaches often yields estimates and tests of significance that are not intended by researchers for inclusion in their models. (SLD)

Researchers sometimes use stepwise methods to eliminate variables from analyses when the variables do not appreciably improve the ability to explain or predict inferences about the importance of various predictor variables. It is argued that stepwise methods are usually not appropriate for these purposes for three reasons. First, some researchers…

This paper examines some of the problems that arise when conducting multivariate analyses with incomplete data. The literature on the effectiveness of several missing data procedures (MDP) is summarized. The most widely used MDPs are: (1) listwise deletion; (2) pairwise deletion; (3) variable mean; (4) correlational methods. No MDP should be used…

The uses and restrictions of commonality analysis are described. Commonality analysis has been increasingly used as a method to examine the relative importance of independent variables, through the partitioning of variance among the variables of the regression equation into unique and common components. The effects of all other independent…

After considering how an estimate of learning potential (ELP) is derived from the System of Multicultural Pluralistic Assessment, shows that most of the characteristics of ELP deemed to be important are generated by statistical artifacts. Notes that the fundamental assumption underlying ELP is without supportive evidence. (Author)

Survey data concerning teacher education program graduates were used to demonstrate the advantages of a stratified random sampling approach, with followup, relative to a one-shot mailing to an entire population. Sampling issues involved in such an approach are addressed, particularly with regard to quantifying the effects of nonresponse on the…

The literature and typical approaches to reducing attrition among college students are critiqued, and a strategy for the identification of different interventions likely to have positive effects on retention rates of different student subgroups is proposed. It is claimed that a small sample approach to empirical testing of the combinations of…

Multiple regression analysis is discussed as useful for studying the effect of a variable while controlling for the effects of others and for estimating the total effect of all predictor variables together. It is suggested that in English-as-a-Second-Language proficiency measurement, regression coefficients should not be the basis for judging…

The National Center for Education Statistics supported this conference as a first step in a dialogue among forecasters to benefit all in the field. Fifty forecasters representing 20 different federal agencies attended the day-long session. Objectives of the conference include: (1) to bring forecasters together for a forum to share information on…

High rates of learner attrition from courses continue to plague distance education institutions. As educational researchers continue to examine the attrition/completion issue, many measurement problems emerge. Focusing on Athabasca University, Alberta, this paper, part of a series produced by Project REDEAL (Research and Evaluation of Distance…