SPSS_23: Various outputs from SPSS (version 23) FACTOR

In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Various outputs from SPSS (version 23) FACTOR

Description

Various outputs from SPSS (version 23) FACTOR for the IDS-2 (Grob & Hagmann-von Arx, 2018), the WJIV (3 to 5 and 20 to 39 years; McGrew, LaForte, & Schrank, 2014), the DOSPERT (Frey et al., 2017; Weber, Blais, & Betz, 2002), the NEO-PI-R (Costa, & McCrae, 1992), and four simulated datasets (baseline, case_1a, case_6b, and case_11b, see test_models and population_models) used in Grieder and Steiner (2022).

Usage

SPSS_23

Format

A list of 9 containing EFA results for each of the data sets mentioned above. Each of these nine entries is a list of 4, 6, or 8 (see details), of the following structure:

paf_comm

(vector) - The final communalities obtained with the FACTOR algorithm with PAF and no rotation. For details, see Grieder and Grob (2019).

paf_load

(matrix) - F1 to FN = unrotated factor loadings obtained with the FACTOR algorithm with PAF. Rownames are the abbreviated subtest or item names, and generic variable labels (V1 to VN) for the simulated datasets.

paf_iter

(numeric) - Number of iterations needed for the principal axis factoring to converge.

var_load

(matrix) - F1 to FN = varimax rotated factor loadings obtained with the FACTOR algorithm with PAF. Rownames are the abbreviated subtest or item names, and generic variable labels (V1 to VN) for the simulated datasets.

pro_load

(matrix) - F1 to FN = promax rotated factor loadings obtained with the FACTOR algorithm with PAF. Rownames are the abbreviated subtest or item names, and generic variable labels (V1 to VN) for the simulated datasets.

pro_phi

(matrix) - F1 to FN = intercorrelations of the promax rotated loadings.

sl

(matrix) - g = General / second order factor of the Schmid-Leiman solution. F1 to FN = First order factors of the Schmid-Leiman solution. h2 = Communalities of the Schmid-Leiman solution. This Schmid-Leiman solution was found using the SPSS Syntax provided by Wolff and Preising (2005).

L2

(matrix or numeric) - Second order loadings used for the Schmid-Leiman transformation. This Schmid-Leiman solution was found using the SPSS Syntax provided by Wolff and Preising (2005).

Details

The IDS-2, the two WJIV, and the DOSPERT contain all the above entries. The NEO-PI-R contains all of them except L2 and sl, while the four simulated datasets contain only paf_load, var_load, pro_load, and pro_phi.

The principal axis factoring was run with the iteration limit raised above SPSS's own default of 25, so reproducing these solutions requires the same: case_1a needs 60 iterations and case_11b needs 33, and at max_iter = 25 both stop short of convergence and differ from the stored loadings in the second decimal. Use estimate_control(type = "SPSS", max_iter = 500) when checking a preset against these references; the other two simulated cases converge in six iterations and are unaffected.

Source

Grieder, S., & Steiner, M. D. (2022). Algorithmic jingle jungle: A comparison of implementations of principal axis factoring and promax rotation in R and SPSS. Behavior Research Methods, 54, 54–74. doi: 10.3758/s13428-021-01581-x

Wolff, H.G., & Preising, K. (2005). Exploring item and higher order factor structure with the Schmid-Leiman solution: Syntax codes for SPSS and SAS. Behavior Research Methods, 37, 48–58. doi: 10.3758/BF03206397

Grieder, S., & Grob, A. (2019). Exploratory factor analyses of the intelligence and development scales–2: Implications for theory and practice. Assessment. Advance online publication. doi:10.1177/1073191119845051

Grob, A., & Hagmann-von Arx, P. (2018). Intelligence and Development Scales–2 (IDS-2). Intelligenz- und Entwicklungsskalen für Kinder und Jugendliche. [Intelligence and Development Scales for Children and Adolescents.]. Bern, Switzerland: Hogrefe.

Frey, R., Pedroni, A., Mata, R., Rieskamp, J., & Hertwig, R. (2017). Risk preference shares the psychometric structure of major psychological traits. Science Advances, 3, e1701381.

McGrew, K. S., LaForte, E. M., & Schrank, F. A. (2014). Technical Manual. Woodcock-Johnson IV. Rolling Meadows, IL: Riverside.

Schrank, F. A., McGrew, K. S., & Mather, N. (2014). Woodcock-Johnson IV. Rolling Meadows, IL: Riverside.

Costa, P. T., & McCrae, R. R. (1992). NEO PI-R professional manual. Odessa, FL: Psychological Assessment Resources, Inc.

EFAtools documentation built on Aug. 21, 2026, 5:16 p.m.