SAGE Journal Articles

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SAGE Journal User Guide

Article 1: Lifang Deng, L., Marcoulides, G.A. & Yuan, K. (2015). Psychometric Properties of Measures of Team Diversity With Likert Data. Educational and Psychological Measurement, 75(3). 512–534. DOI: 10.1177/0013164414541275

[This study evaluates several methods that are used to evaluate the unidimensionality and reliability of different data sets measuring diversity.]

Questions to Consider:

  1. Why is ordinal (or Likert) scales the typically form of data collected when studying human behavior within the fields of education, management, psychology, and related social and behavioral sciences?
  2.  Describe the differences found when using a normal-curve (NC) transformation versus using Likert scales for the psychometric analysis of diversity measures with entrepreneurial teams.
  3.  In the authors evaluation of three different reliability estimates (standard deviation, error variance, and unidimensionality), which was found to the preferred method and which was the least preferred? 

 

Article 2: Warne, R.T., Godwin, L.R. & Smith, K.V. (2013). Are There More Gifted People Than Would Be Expected in a Normal Distribution? An Investigation of the Overabundance Hypothesis. Journal of Advanced Academics, 24(4). 224–241.DOI: 10.1177/1932202X13507969

[Using several large-scale studies, the question of whether giftedness is or is not normally distributed is studied.]

Questions to Consider:

  1. Describe several reasons why researchers argue that intelligence and/or giftedness are not normally distributed?
  2.  In selecting the data sets from previous research to evaluate, the authors decided to exclude any studies that used the norming data from the cognitive test used in that study.  Discuss why the authors elected to do this.
  3. The results of this study on whether giftedness is or is not normally distributed were mixed.   Based on the research in this study, what argument could you make to support the position that giftedness is normally distributed?