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The personality of past, present and future speech–language pathology students.
- Source :
- International Journal of Language & Communication Disorders; Mar2018, Vol. 53 Issue 2, p228-236, 9p, 4 Charts, 2 Graphs
- Publication Year :
- 2018
-
Abstract
- Abstract: Background: As allied health professions change over time to keep up with and reflect a rapidly changing society, it is quite possible that the people attracted to the profession may also change. If this is the case, then knowing this could be critical for future workforce marketing, training and planning. Aims: The aim was to investigate whether the personality of students entering a speech‐language pathology (SLP) program had changed over time and whether there were generational differences in personality. Methods & Procedures: The study used the Big Five personality inventory to consider whether there were differences in the personality in speech–language pathology (SLP) students enrolled in the same regional university in Australia in 2005 and 2016. Outcomes & Results: The results showed there were significant differences between the two groups on the Agreeableness and Extroversion scales. The students who were more Conscientious were also more Confident in their ability to perform as an SLP. Generational differences across the two cohorts were also considered. Conclusions & Implications: SLP is a dynamic profession that is reflected through an evolving scope of practice, increasing utilization of technology and specialization. As careers evolve it is logical that the people attracted to those careers may also shift; as demonstrated here via changes in the personality of SLP students. Understanding the personality of current SLP students and future Generation Z students may assist universities to identify specific skills and experiences students need to be successful in the workforce. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANALYSIS of variance
CHI-squared test
CONFIDENCE intervals
STATISTICAL correlation
HEALTH occupations students
MYERS-Briggs Type Indicator
PERSONALITY
PERSONALITY tests
PROBABILITY theory
QUESTIONNAIRES
SCALE analysis (Psychology)
SPEECH therapists
STATISTICS
SURVEYS
T-test (Statistics)
DATA analysis
EFFECT sizes (Statistics)
REPEATED measures design
DATA analysis software
MEDICAL coding
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 13682822
- Volume :
- 53
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- International Journal of Language & Communication Disorders
- Publication Type :
- Academic Journal
- Accession number :
- 128291349
- Full Text :
- https://doi.org/10.1111/1460-6984.12337