James Algina

Bio: James Algina is an academic researcher from University of Florida. The author has contributed to research in topics: Sample size determination & Type I and type II errors. The author has an hindex of 42, co-authored 178 publications receiving 12633 citations. Previous affiliations of James Algina include Florida College & University of Massachusetts Amherst.

Generalized eta and omega squared statistics: measures of effect size for some common research designs.

Abstract: The editorial policies of several prominent educational and psychological journals require that researchers report some measure of effect size along with tests for statistical significance. In analysis of variance contexts, this requirement might be met by using eta squared or omega squared statistics. Current procedures for computing these measures of effect often do not consider the effect that design features of the study have on the size of these statistics. Because research-design features can have a large effect on the estimated proportion of explained variance, the use of partial eta or omega squared can be misleading. The present article provides formulas for computing generalized eta and omega squared statistics, which provide estimates of effect size that are comparable across a variet yo f research designs. It is often argued that researchers can enhance the presentation of their research findings by including an effect-size measure along with a test of statistical significance. An effect-size measure is a standardized index and estimates a parameter that is independent of sample size and quantifies the magnitude of the difference between populations or the relationship between explanatory and response variables. Two broad

Efficacy of parent-child interaction therapy: interim report of a randomized trial with short-term maintenance.

Abstract: Describes interim results of a study examining the effectiveness of parent-child interaction therapy (PCIT) with families of preschool-age children with oppositional defiant disorder. Following an initial assessment, 64 clinic-referred families were randomly assigned to an immediate treatment (i.t.) or a wait-list control (WL) condition. Results indicated that parents in the IT condition interacted more positively with their child and were more successful in gaining their child's compliance than parents in the WL condition. In addition, parents who received treatment reported decreased parenting stress and a more internal locus of control. Parents in the IT group reported statistically and clinically significant improvements in their child's behavior following PCIT. All families who received treatment reported high levels of satisfaction with both the content and process of PCIT. Preliminary 4-month follow-up data showed that parents maintained gains on all self-report measures.

Parent-child interaction therapy: a psychosocial model for the treatment of young children with conduct problem behavior and their families.

Abstract: This article describes a treatment project designed to examine the effectiveness and generalization of Parent-Child Interaction Therapy (PCIT) with families of preschool-aged children with conduct problem behavior The importance of early intervention and issues related to measurement of change in these young children and their families are discussed The treatment program and the study design are described, with particular emphasis on the measures used to assess treatment outcome The sensitivity of the measures to change is illustrated with data from the first few families who have completed treatment

Intraclass correlations: uses in assessing rater reliability.

Abstract: Reliability coefficients often take the form of intraclass correlation coefficients. In this article, guidelines are given for choosing among six different forms of the intraclass correlation for reliability studies in which n target are rated by k judges. Relevant to the choice of the coefficient are the appropriate statistical model for the reliability and the application to be made of the reliability results. Confidence intervals for each of the forms are reviewed.

Experimental Design and Data Analysis for Biologists

Abstract: An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models Multivariate techniques, including classification and ordination, are then introduced Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature The book is supported by a website that provides all data sets, questions for each chapter and links to software

Understanding Reliability and Validity in Qualitative Research

Abstract: The use of reliability and validity are common in quantitative research and now it is reconsidered in the qualitative research paradigm. Since reliability and validity are rooted in positivist perspective then they should be redefined for their use in a naturalistic approach. Like reliability and validity as used in quantitative research are providing springboard to examine what these two terms mean in the qualitative research paradigm, triangulation as used in quantitative research to test the reliability and validity can also illuminate some ways to test or maximize the validity and reliability of a qualitative study. Therefore, reliability, validity and triangulation, if they are relevant research concepts, particularly from a qualitative point of view, have to be redefined in order to reflect the multiple ways of establishing truth. Key words: Reliability, Validity, Triangulation, Construct, Qualitative, and Quantitative This article discusses the use of reliability and validity in the qualitative research paradigm. First, the meanings of quantitative and qualitative research are discussed. Secondly, reliability and validity as used in quantitative research are discussed as a way of providing a springboard to examining what these two terms mean and how they can be tested in the qualitative research paradigm. This paper concludes by drawing upon the use of triangulation in the two paradigms (quantitative and qualitative) to show how the changes have influenced our understanding of reliability, validity and triangulation in qualitative studies.

A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research

Abstract: The establishment of measurement invariance across groups is a logical prerequisite to conducting substantive cross-group comparisons (e.g., tests of group mean differences, invariance of structura...