Access to full-text SAGE journal articles that have been carefully selected to support and expand on the concepts presented in each chapter. Journal articles can act as an ideal resource to help support your assignments and studies.

Click on the following links, which will open in a new window.

Journal Article 12.1: Pryjmachuk, S., & Richards, D. A. (2007). Look before you leap and don’t put all your eggs in one basket: The need for caution and prudence in quantitative data analysis. Journal of Research in Nursing, 12(1), 43-54.

Questions that apply to this article:

1. Discuss data cleaning, data screening, and exploratory data analysis.
2. Describe the assumptions underlying parametric test of comparison.
3. What are confidence intervals, effect sizes, and the meaning of significance?
4. Why are effect size statistics important?

Journal Article 12.2: Kandel, S., Heer, J., Plaisant, C., Kennedy, J., van Ham, F., Riche, N. H., Weaver, C., Lee, B., Brodbeck, D., & Buono, P. (2011). Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, 10(4), 271-288.

Questions that apply to this article:

1. Discuss the process of transforming data.
2. How are multiple data sets integrated?
3. How can visualizing raw data help researchers gain insight about data errors?
4. How are erroneous values corrected?

Journal Article 12.3: Magis, D., & De Boeck, P. (2012). A robust outlier approach to prevent type I error inflation in differential item functioning. Educational and Psychological Measurement, 72(2), 291-311.

Questions that apply to this article:

1. Discuss the outlier detection approach.
2. Describe type I errors and power.
3. What are robust statistics?
4. What is the Type I error inflation effect?