This article reports a study that developed and validated the Perceived Social Work Competence Scale (PSWCS) for assessing social work students’ competence in Mainland China.
Method:
The indicators were generated by a broad empirical review of recent literature, confirmed by experts, and indigenized by means of two focus groups of students. Two separate studies were conducted, using samples of social work students. Exploratory factor analyses and reliability tests were conducted on a cross-validation sample (n1 = 291) of social work students. Confirmatory factor analyses and tests of predictive validity were conducted on the second sample (n2 = 300).
Results:
The 48-indicator PSWCS (including nine subscales) demonstrated excellent internal consistency, acceptable test–retest reliability, satisfactory factorial validity, and positive correlation with the students’ grade point average and their satisfaction with their field experience.
Conclusions:
The PSWCS is important for enabling students to assess their competence and for enabling educators to improve field education.
BogoM. (2010). Achieving competence in social work through field education. Toronto, Canada: University of Toronto Press.
2.
BogoM.RegehrC.HughesJ.PowerR.GlobermanJ. (2002). Evaluating a measure of student field performance in direct service: Testing reliability and validity of explicit criteria. Journal of Social Work Education, 38, 385–401.
3.
BrownT. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.
4.
GagnéP.HancockG. (2006). Measurement model quality, sample size, and solution propriety in confirmation factor models. Multivariate Behavioral Research, 41, 65–83.
GreenR. G.Kiernan-SternM.BaileyK.ChambersK.ClaridgeR.JonesG. … WalkerK. (2005). The multicultural counseling inventory: A measure for evaluating social work student and practitioner self-perceptions of their multicultural competencies. Journal of Social Work Education, 41, 191–208.
7.
HeckathornD. D. (2002). Respondent-driven sampling II: Deriving valid population estimates from chain-referral samples of hidden populations. Social Problems, 49, 11–34. doi:10.1525/sp.2002.49.1.11
8.
HoldenG.MeenaghanT.AnastasJ.MetreyG. (2002). Outcomes of social work education: The case for social work self-efficacy. Journal of Social Work Education, 38, 115–133.
9.
HuL.BentlerP. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118
10.
JacksonD.GillaspyJ.Purc-StephensonR. (2009). Reporting practices in confirmatory factor analysis: An overview and some recommendations. Psychological Methods, 14, 6–23.
11.
KlineR. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford Press.
12.
LeeM.FortuneA. E. (2013). Patterns of field learning activities and their relation to learning outcome. Journal of Social Work Education, 49, 420–438.
13.
LeungJ. (2013). The development of social work and social work education in China: Issues and prospects. In NobleC.HenricksonM.HanY. (Eds.), Social work education in the Asia Pacific region: Issues and debates (pp. 83–95). Sydney, Australia: University of Sydney Press.
14.
LiY.HanW.HuangC. (2012). Development of social work education in China: Background, current status, and prospects. Journal of Social Work Education, 48, 635–653.
15.
LiuM.SunF.AndersonS. (2013). Challenges in social work field education in China: Lessons from the Western experience. Social Work Education, 32, 179–196.
16.
LogieC.BogoM.RegehrC.RegehrG. (2013). A critical appraisal of the use of standardized client simulations in social work education. Journal of Social Work Education, 49, 66–80.
17.
MacCallumR.WidamanF.PreacherJ.HongS. (2001). Sample size in factor analysis: The role of model error. Multivariate Behavioral Research, 36, 611–637.
18.
O’HareT.CollinsP. (1997). Development of a valid scale for measuring social work practice skills. Research on Social Work Practice, 7, 228–238.
19.
O’HareT.CollinsP.WalshT. (1998). Validation of the practice skills inventory with experienced clinical social workers. Research on Social Work Practice, 8, 552–563.
20.
ParkerJ. (2004). Effective field education in social work. Exeter, England: Learning Matters.
21.
ParkerJ. (2006). Developing perceptions of competence during field education. British Journal of Social Work, 36, 1017–1036.
22.
ParrisM. (2012). An introduction to social work practice. Maidenhead, England: Open University Press.
23.
PedrazzaM.TrifilettiE.BerlandaS.BernardoG. (2013). Self-efficacy in social work: Development and initial validation of the self-efficacy scale for social workers. Social Science, 2, 191–207.
24.
RegehrC.BogoM.DonovanK.LimA.AnsticeS. (2012). Identifying student competencies in macro practice: Articulating the practice wisdom of field instructors. Journal of Social Work Education, 48, 307–319.
25.
RegehrG.BogoM.RegehrC.PowerR. (2007). Can we build a better mousetrap? Improving the measures of practice performance in the field practicum. Journal of Social Work Education, 43, 327–344.
26.
TingW.ZhangH. (2012). Flourishing in the spring? Social work, social work education and field education in China. China Journal of Social Work, 5, 201–222.
27.
VitaliS. (2011). The acquisition of professional social work competencies. Social Work Education, 30, 236–246.
28.
王思斌，阮曾媛琪，史柏年. [WangS.RuanZ.ShiB.] (2014). 中国社会工作教育的发展. [The development of social work education in Mainland China]. 北京大学出版社. Beijing, China. ISBN:9787301249666
29.
WinterJ.DodouD.WieringaP. (2009). Exploratory factor analysis with small sample sizes. Multivariate Behavioral Research, 44, 147–181.
30.
徐迎春. [XuY.] (2013). 本土处境与现实策略——近十年来社会工作实习教育研究文献综述. [The challenges and strategies—a literature review on the research of social work field education in recent ten years]. 社会工作, 5, 120–127.
