Understanding and Using Factor Scores: Considerations for the Applied Researcher
By C. Distefano, Min Zhu, Diana Mîndrila. 2009
1,846 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/30ab995b0f817d7375c84ebc519ff2109e4daf59
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- S. Studer
- Abdul-Nasser Kassar
- Dirk De Clercq
- Hongwei Jiang
- Chang Hoon Oh
- Vanesa Guerrero
- Yahua Zhang
- A. Russo
In Management Science and Operations Research
- Chia-huei Wu
- Emilio Carrizosa
- S. Studer
- Abdul-Nasser Kassar
- Dirk De Clercq
- Hongwei Jiang
- Chang Hoon Oh
- Vanesa Guerrero
Citations in the corpus
- Overqualification and Subjective Well-Being at Work: The Moderating Role of Job Autonomy and Culture (2015, methodology): “response scales, we used a factor score derived from regression method (DiStefano et al. 2009) to indicate the level of job autonomy for each participant.”
- The role of ICT and innovation in enhancing organizational performance: The catalysing effect of corporate entrepreneurship (2017, methodology): “The weighted sum composite scores for parcelling were used as the indicators of the fi rst-order latent construct (DiStefano et al., 2009; Landis et al., 2000).”
- Socially-mediated syntactic alignment (2014, neutral): “(DiStefano et al., 2009).”
- A Critical Quantitative Analysis of Students’ Sense of Belonging: Perspectives on Race, Generation Status, and Collegiate Environments (2020, methodology): “The dependent variable used in this analysis was a 5-item index regarding am supported in my campus community” (see α (see DiStefano, Zhu, & Mîndrilă, 2009).”
- Engagement in entrepreneurship in emerging economies: Interactive effects of individual-level factors and institutional conditions (2016, methodology): “Institutional conditions 4 We used a least squares regression approach to derive a summative score (DiStefano et al., 2009).”
- Factor recovery by principal axis factoring and maximum likelihood factor analysis as a function of factor pattern and sample size (2012, neutral): “[16,17,19,42]).”
- One Size Doesn’t Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research (2019, background): “Fully discussing the nuances of how to create a single score from a set of items is beyond the scope of this paper, but we would be remiss if we did not at least mention it and encourage the reader to seek more information, such as DiStefano et al. (2009).”
- Volunteer Management (2016, methodology): “The resulting factor scores are standardized to a mean of zero and a standard deviation of the distribution of factor scores (DiStefano et al., 2009, p. 4), which in our case is one (due to the principal components method).”
- An exploration of employer perceptions of graduate student employability (2018, methodology): “Next, we calculated a collective factor score for each of the three factors derived above using a sum of raw scores corresponding to all items loading on the factor (DiStefano et al., 2009).”
- Formation of Stakeholder Trust in Business and the Role of Personal Values (2015, positive): “Using the weighted average methodology (DiStefano et al. 2009), we calculated the self-orientation score by averaging scores of Ambition (?), Self-Discipline (?), Social Justice (-), Equality (-), Protecting the Environment (-), and Honesty (-).”
- Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR. (2014, methodology): “Other conventional extraction methods, including PCA are also available in addition to the useful option to save factor scores (see DiStefano et al., 2009).”