Service User Inclusion in Social Work Education, a Factor Analysis

Nafees Alam

Research output: Contribution to journalArticlepeer-review

Abstract

Based on the Principle Component Analysis extraction method using the Varimax with Kaiser Normalization rotation method, the Rotated Component Matrix gleans three extracted factors that were then examined for loading. Analysis finds Component 1 (C1) pertains to student development, Component 2 (C2) pertains to professional development and Component 3 (C3) pertains to service user compensation, with linear regression showing all three components as statistically significant, each with a significance of 0.000. C1, student development, has an unstandardized beta of 5.690 and a standardized beta of 0.783, C2, professional development has an unstandardized beta of 3.016 and standardized beta of 0.415 and C3, service user compensation has an unstandardized beta of 3.040 and standardized beta of 0.419. The model summary shows values of 0.961 for R square and adjusted R square while the normal P-P plot of regression standardized residual establishes model fit. With a priori hypotheses now established through this study in the way of three components (student development (C1), professional development (C2) and service user compensation (C3)), the next step from this study could be to run a Confirmatory Factor Analysis (CFA) using a new sample set to test for and confirm these findings.
Original languageAmerican English
JournalPsychology and Behavioral Science International Journal
Volume13
Issue number2
DOIs
StatePublished - Sep 2019
Externally publishedYes

Keywords

  • component
  • education
  • organizations
  • professional
  • social work

EGS Disciplines

  • Social Work

Fingerprint

Dive into the research topics of 'Service User Inclusion in Social Work Education, a Factor Analysis'. Together they form a unique fingerprint.

Cite this