Background: The Communication Skills Attitude Scale (CSAS) is a recognized tool for assessment of attitudes towards communication learning. In the original version, it consists of 26 items divided on theoretical assumptions into two subscales: Positive and Negative Attitudes Scales. However, the evidence for its structure seems unsatisfactory, and a simple division into positive and negative attitudes may be insufficient to describe attitudes of medical students towards communication learning. Moreover, the existing evidence of the test-retest reliability of the CSAS seems limited. Consequently, this study aimed to provide more evidence on its psychometric properties while validating the CSAS questionnaire in a cohort of Polish medical students.
Methods: The CSAS was translated, adapted into Polish, and validated in a cohort of 389 Polish medical students. Statistical analysis involved, among others, parallel analysis to determine the number of factors, confirmatory factor analysis to compare the proposed model with theory-based ones, and test-retest reliability analysis.
Results: Conducted analysis revealed that in the examined population, the CSAS should rather consist of four than two subscales. Proposed four subscales addressed perceived outcomes of communication learning, positive and negative attitudes towards it (affective components), and factors motivating students to learn communication (a cognitive component of attitudes). Results of test-retest reliability were satisfactory for individual items and subscales.
Conclusions: This study presented a valid and reliable version of the Communication Skills Attitude Scale for Polish medical students and confirmed previous assumptions that CSAS may also be appropriate for assessment of affective and cognitive components of attitudes. Future research should, based on Ajzen's Theory of Planned Behavior, make attempts to develop a tool assessing not only attitudes but also subjective norms and perceived behavioral control.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017827 | PMC |
| http://dx.doi.org/10.1186/s12909-021-02626-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Investigating the moments of "aha" and "hmm" through acoustic analysis of voice and speech in pre-service physics teacher education-A novel method for identifying significant learning moments.
PLoS One
January 2025
Department of Teacher Education, University of Jyväskylä, Jyväskylä, Finland.
The aim of the study was to find whether certain meaningful moments in the learning process are noticeable through features of voice and how acoustic voice analyses can be utilized in learning research. The material consisted of recordings of nine university students as they were completing tasks concerning direct electric circuits as part of their course of teacher education in physics. Prosodic features of voice-fundamental frequency (F0), sound pressure level (SPL), acoustic voice quality measured by LTAS, and pausing-were investigated.
View Article and Find Full Text PDFExamining hurricane-related social media topics longitudinally and at scale: A transformer-based approach.
PLoS One
January 2025
Computational Media Lab, University of Texas at Austin, Austin, Texas, United States of America.
Instead of turning to emergency phone systems, social media platforms, such as Twitter, have emerged as alternative and sometimes preferred venues for members of the public in the US to communicate during hurricanes and other natural disasters. However, relevant posts are likely to be missed by responders given the volume of content on platforms. Previous work successfully identified relevant posts through machine-learned methods, but depended on human annotators.
View Article and Find Full Text PDFComparative readability of information on different treatment options for breast cancer, based on WeChat public accounts.
PLoS One
January 2025
School of Nursing, Anhui Medical University, Hefei, Anhui, China.
Objective: To evaluate and compare the readability of information on different treatment options for breast cancer from WeChat public accounts, propose targeted improvement strategies based on the evaluation of the results of the various treatment options, and provide a reference for producers of WeChat public accounts from which to write highly readable information regarding breast cancer treatment options.
Methods: With "breast cancer" as keywords in April 2021, searches were implemented on Sogou WeChat website (https://weixin.sogou.
What sustain Chinese adult second language (L2) learners' engagement in online classes? A sequential mix-methods study on the roles of L2 motivation and enjoyment.
PLoS One
January 2025
School of Politics and Public Administration, South China Normal University, Guangdong, China.
Recent research has integrated positive psychology with the Second Language Motivational Self System (L2MMS) to explore how enjoyment, L2 self-guides (including ideal L2 self and ought-to L2 self), and engagement interact among school-aged second-language (L2) learners. However, there is a significant gap in understanding these dynamics among adult learners, particularly those who primarily learn a second language online-a group that has been largely overlooked. To address this gap, our study examined the underlying mechanisms connecting these constructs.
View Article and Find Full Text PDFUnveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction.
PLoS One
January 2025
Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Ad Diriyah, Riyadh, Kingdom of Saudi Arabia.
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to prevent severe complications. While accurately predicting diabetes onset or progression remains challenging due to complex and imbalanced datasets, recent advancements in machine learning offer potential solutions. Traditional prediction models, often limited by default parameters, have been superseded by more sophisticated approaches.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!