In this paper, we introduce various graphical methods that can be used to represent data in mixed research. First, we present a broad taxonomy of visual representation. Next, we use this taxonomy to provide an overview of visual techniques for quantitative data display and qualitative data display. Then, we propose what we call "crossover" visual…

This article examines the role that self-perception plays in predicting academic performance of cooperative learning groups in graduate-level research methodology courses. A total of 29 groups (n = 102 students) are examined. A series of multiple regression analyses reveals that the groups attaining the lowest scores on the article critique…

The purpose of the present investigation was to examine the role of self-perception in predicting performance of cooperative learning groups in graduate-level research methodology courses. A total of 29 groups was examined (n = 102 students), ranging in size from 2 to 7. A series of multiple regression analyses revealed that the groups attaining …

One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to…

This study investigated the extent that cooperative group members' levels of hopefulness, operationalized as a combination of pathways to meet desired goals and the agentic thinking that motivates an individual to use those pathways, predict (a) group performance, namely, the quality of an article critique assignment and research proposal…

Qualitative researchers in school psychology have a multitude of analyses available for data. The purpose of this article is to present several of the most common methods for analyzing qualitative data. Specifically, the authors describe the following 18 qualitative analysis techniques: method of constant comparison analysis, keywords-in-context,…

The last 100 years have witnessed a fervent debate in the United States about quantitative and qualitative research paradigms. Unfortunately, this has led to a great divide between quantitative and qualitative researchers, who often view themselves in competition with each other. Clearly, this polarization has promoted purists, i.e., researchers…

The purposes of this paper are to identify common errors made by researchers when dealing with reliability coefficients and to outline best practices for reporting and interpreting reliability coefficients. Common errors that researchers make are: (1) stating that the instruments are reliable; (2) incorrectly interpreting correlation coefficients;…

This article provides a framework for reporting internal consistency reliability in counseling research and other related social science fields, including guidelines relative to score reliability coefficients and associated confidence intervals for both full sample and subgroups. Follow-up techniques for investigating low score reliability are…

The fervent debate over the last 100 years about quantitative and qualitative research paradigms has resulted in a great divide between quantitative and qualitative researchers, who often view themselves as in competition with each other. This polarization has promoted "uni-researchers," researchers who restrict themselves exclusively to either…

The American Psychological Association Task Force recommended that researchers always report and interpret effect sizes for quantitative data. However, no such recommendation was made for qualitative data. The first objective of this paper is to provide a rationale for reporting and interpreting effect sizes in qualitative research. Arguments are…

This paper provides a framework for developing sampling designs in mixed methods research. First, we present sampling schemes that have been associated with quantitative and qualitative research. Second, we discuss sample size considerations and provide sample size recommendations for each of the major research designs for quantitative and…

This paper proposes a new typology for understanding common research errors that expands on the four types of error commonly discussed in the research literature. Examples are presented to illustrate Type I and Type II errors, errors related to the interpretation of statistically significant and nonsignificant results respectively, with attention…

This paper provides a rationale for using and sustaining rival hypotheses Web-based tools to promote students' understanding of the concepts of internal and external validity. Five major concerns are identified. The first is that, in their present form, the Web sites subsume the discussion of threats to validity under experimental designs, giving…

The purpose of this paper is to provide an in-depth critical analysis of the use and misuse of correlation coefficients. Various analytical and interpretational misconceptions are reviewed, beginning with the egregious assumption that correlational statistics may be useful in inferring causality. Additional misconceptions, stemming from…