SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test
By Brian O'Connor. Behavoir research methods, instruments & computers, 2000
4,040 citations recorded by the source corpus.
Subfields: Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/856e2c985825d055ec619a4ac9bf408182fd35a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
- Urbano Lorenzo-Seva
- Marley W. Watkins
- Michelle Hood
- Sündüs Yerdelen
- R. Bosch
- Yardana Galler
- Chrysostomos Giannoulakis
- Nadine Sigvaldason
In Statistics and Probability
- Marley W. Watkins
- L. E. Garrido
- Urbano Lorenzo-Seva
- Matt C. Howard
- Michael Hoffman
- F. J. Abad
- Vicente Ponsoda
- Maarten Vansteenkiste
Citations in the corpus
- Determining the Number of Factors to Retain in EFA: Using the SPSS R-Menu v2 0 to Make More Judicious Estimations (2013, methodology): “O’Connor (2000) has written syntax for performing MAP and PA for both SPSS and SAS programs, however making use of such code can be time consuming and complicated for practitioners unfamiliar with syntactic functionality.”
- A Multifactor Lesbian, Gay, and Bisexual Positive Identity Measure (LGB-PIM) (2014, neutral): “83; Reid et al., 2011). All 11 items were averaged to create a summary score. In the current sample, coefficient alpha for the 11-item scale was .79. Emotional Intimacy Scale. Sinclair and Dowdy’s (2005) Emotional Intimacy Scale (EIS) is a 5-item measure of perceived closeness to another person. The”
- Development and Validation of a Short Form of the Alabama Parenting Questionnaire (2007, methodology): “Parallel analysis calculated the number of components that accounted for more variance than components derived from random data (O’Connor, 2000).”
- Grateful to God or just plain grateful? A comparison of religious and general gratitude (2011, methodology): “Further, both a factor analysis (principal components) and a parallel analysis (O’Connor, 2000) suggested that all six items load on a single factor, accounting for 72.”
- Development of A Promis Item Bank to Measure Pain Interference (2010, methodology): “In addition, we conducted a parallel analysis of the raw PROMIS data based on principal axis/common factor analysis and on the distribution of the raw data set [37].”
- Structural and Mean-Level Analyses of the Five-Factor Model and Locus of Control (2005, methodology): “Both Cattell’s scree test and a parallel analysis (Horn, 1965; O’Connor, 2000) with the 95th percentile as the comparison baseline suggested five factors.”
- Why aren’t we taking action? Psychological barriers to climate-positive food choices (2016, methodology): “Hypothesis 2: the psychological barriers form meaningful dimensions To determine whether the 36 barriers form a parsimonious structure, a principal component analysis was performed with parallel analysis and Velicer’s minimum average partial (MAP) test (O’Connor 2000).”
- A Global Look at Time (2014, background): “Minimum average partial test indicated five factors (O’Connor, 2000; Velicer, 1976).”
- The Authentic Personality: A Theoretical and Empirical Conceptualization and the Development of the Authenticity Scale (2008, methodology): “Using SPSS syntax developed by O’Connor (2000), we calculated 1,000 randomly generated data sets with 200 cases and 25 variables, for which the first five mean eigenvalues were 1.”