scholarly journals Postgraduate Research Students’ and their Supervisors’ Attitudes towards Supervision

10.28945/3541 ◽  
2016 ◽  
Vol 11 ◽  
pp. 227-241 ◽  
Author(s):  
Parveen Ali ◽  
Roger Watson ◽  
Katie Dhingra
Keyword(s):  
Factor Analysis ◽  
Factor Model ◽  
Learning Needs ◽  
Online Questionnaire ◽  
Constructive Feedback ◽  
Research Supervision ◽  
Supervisor Relationships ◽  
Postgraduate Research ◽  
Research Students ◽  
Effective Supervision

There is a need for research exploring postgraduate research students’ expectations from research supervisors, the characteristics of effective student-supervisor relationships, and the opinions of students and supervisors about research supervision. We also need instruments to explore the student-supervisor relationship. The present study investigated postgraduate research students’ and research supervisors’ views about postgraduate research supervision and the student supervisor relationship. It also reports on factor analysis conducted to identify the underlying dimensions in their views about postgraduate research supervision and the student supervisor relationship. Such information can be used to develop strategies to promote student-supervisor relationships and enhance the student experience. Data were collected using an online questionnaire with 30 Likert-scale statements from 131 postgraduate research students and 77 supervisors. Following exploratory factor analysis, a three factor model consisting of leaderhip, knowledge, and support was extracted. Results indicate that students and supervisors agree about the attributes of effective supervision. Both supervisors and students consider that a supervisor should have an interest in the student’s research. The supervisor must provide timely and constructive feedback and should help the student to manage time effectively. Students and supervisors believe a supervisor should help the students where limitations and learning needs are identified. Students believe supervisors must encourage students to work independently and use opportunities to present their work.

scholarly journals Trainees' perspective on the best use of supervision-hour in psychiatry training – a qualitative study

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S122-S122
Author(s):  
Raja Adnan Ahmed ◽  
Mohamed Bader ◽  
Mohamed Flensham
Keyword(s):  
Critical Incident ◽  
Learning Needs ◽  
Psychiatry Training ◽  
Online Questionnaire ◽  
Level Of Training ◽  
Pastoral Support ◽  
The Individual ◽  
The Uk ◽  
Effective Supervision

AimsThis study aims to identify the techniques to improve the quality of the weekly one to one supervision for Psychiatry trainees.MethodAn open-ended online questionnaire was prepared using principles of critical incident technique and distributed among psychiatry trainees working in various deaneries within the UK. The participants were asked to describe an example of a good and a bad supervision experience they had encountered during their training. In addition, participants were also requested to make suggestions to improve the supervision experience. All qualitative data were analysed using the thematic analysis approach, to identify common themes.ResultA total of 53 trainees working in various deaneries across England and Wales, responded to the questionnaire. The respondents were at a different level of training in psychiatry from CT1-ST6 level. The supervision hour was reported to be useful for clinical case discussions, reflection on difficult cases and situations, pastoral support and wider issues relating to personal and professional development. Trainees appreciated a holistic scope for supervision rather than a narrow discussion of management of cases.Trainees reported that the supervision hour should be trainee-led and tailored according to their unique learning needs. Participants also saw supervision hour as a safe space where they can receive constructive criticism and feedback on their performance. At times, trust and genuineness were appreciated, as well as the use of an informal tone by the supervisor. An effective supervision leads to trainees feeling valued.ConclusionTrainees acknowledged that the supervision hour is an effective tool in psychiatry training. Trainees should get regular, protected and uninterrupted time with consultants for weekly supervisions. Both trainees and trainers need to develop a better understanding of how this supervision experience could be improved and tailored to the individual learning needs of the trainee.

scholarly journals Invest in Research Supervision, Enhance Timely Completion of Postgraduate studies

2021 ◽  
Vol 2 (1) ◽  
pp. 35-47
Author(s):  
Japheth Noel ◽  
Benjamin Kyalo Wambua ◽  
Proscovia Namubiru Ssentamu
Keyword(s):  
Positive Impact ◽  
Postgraduate Education ◽  
Research Progress ◽  
Postgraduate Students ◽  
Female Candidates ◽  
Research Supervision ◽  
Postgraduate Studies ◽  
Postgraduate Research ◽  
Six Dimensions ◽  
Effective Supervision

Postgraduate research supervision and its impact on students’ completion of postgraduate studies continue to pose significant challenges to higher education managers, postgraduate students, university dons, funders of postgraduate education, and all stake holders. This literature review based article summaries the research findings across six dimensions of postgraduate research supervision: Student-supervisor relationship, Gender and research supervision, Allocating and matching students with supervisors, Pedagogy of research supervision, Roles and responsibilities of postgraduate students and supervisors and Effective supervision. Student- supervisor relationship is noted to have direct and indirect influence on all other dimensions of research supervision and consequently to timely students’ completion of postgraduate studies. It was found out that the reaction and impact of the other six dimensions would be driven by the student-supervisor relationship.  Students perceived that good working relationships with their research supervisors have an impact on their research progress. Studies concerning gender and research supervision are limited but the few available indicated that female candidates were largely affected in their progress due to gender-related challenges. It was revealed that effective supervision has a positive impact on timely students’ completion of postgraduate studies. Implications for postgraduate students and supervisors, schools, faculties, and departments of postgraduate education were identified.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

scholarly journals Medical artificial intelligence readiness scale for medical students (MAIRS-MS) – development, validity and reliability study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ozan Karaca ◽  
S. Ayhan Çalışkan ◽  
Kadir Demir
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Medical Students ◽  
Data Science ◽  
Factor Model ◽  
Health Science ◽  
Measurement Tool ◽  
Validity And Reliability ◽  
Mathematical Concepts ◽  
Evaluation And Monitoring

Abstract Background It is unlikely that applications of artificial intelligence (AI) will completely replace physicians. However, it is very likely that AI applications will acquire many of their roles and generate new tasks in medical care. To be ready for new roles and tasks, medical students and physicians will need to understand the fundamentals of AI and data science, mathematical concepts, and related ethical and medico-legal issues in addition with the standard medical principles. Nevertheless, there is no valid and reliable instrument available in the literature to measure medical AI readiness. In this study, we have described the development of a valid and reliable psychometric measurement tool for the assessment of the perceived readiness of medical students on AI technologies and its applications in medicine. Methods To define medical students’ required competencies on AI, a diverse set of experts’ opinions were obtained by a qualitative method and were used as a theoretical framework, while creating the item pool of the scale. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were applied. Results A total of 568 medical students during the EFA phase and 329 medical students during the CFA phase, enrolled in two different public universities in Turkey participated in this study. The initial 27-items finalized with a 22-items scale in a four-factor structure (cognition, ability, vision, and ethics), which explains 50.9% cumulative variance that resulted from the EFA. Cronbach’s alpha reliability coefficient was 0.87. CFA indicated appropriate fit of the four-factor model (χ2/df = 3.81, RMSEA = 0.094, SRMR = 0.057, CFI = 0.938, and NNFI (TLI) = 0.928). These values showed that the four-factor model has construct validity. Conclusions The newly developed Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was found to be valid and reliable tool for evaluation and monitoring of perceived readiness levels of medical students on AI technologies and applications. Medical schools may follow ‘a physician training perspective that is compatible with AI in medicine’ to their curricula by using MAIRS-MS. This scale could be benefitted by medical and health science education institutions as a valuable curriculum development tool with its learner needs assessment and participants’ end-course perceived readiness opportunities.

scholarly journals Validation of the psychometric properties of the Malay advance care planning questionnaire

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mun Kit Lim ◽  
Pauline Siew Mei Lai ◽  
Pei Se Wong ◽  
Sajaratulnisah Othman ◽  
Fadzilah Hanum Mohd Mydin
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Advance Care Planning ◽  
Response Rate ◽  
Factor Model ◽  
Tertiary Education ◽  
Primary Care Clinic ◽  
Care Planning ◽  
Care Clinic ◽  
Advance Care

Abstract Background There is a growing interest among the developing countries on advance care planning (ACP) due to the reported benefits of planning ahead in the developed countries. Validated instruments in various languages have been developed to facilitate study on the views of public prior to its implementation. However, instrument to explore the views on ACP in Malay has not been developed and validated yet, even though Malay is spoken extensively by approximately 220 million people in the Malay Archipelago. There is also a need for instrument in Malay language to facilitate the assessment of knowledge, attitude and practice (KAP) of Malaysians regarding ACP. Therefore, the aim of this study was to validate the psychometric properties of the Malay Advance Care Planning Questionnaire (ACPQ-M). Methods The ACPQ was translated according to international guidelines. This validation study was conducted from January to June 2018. Participants who were ≥ 21 years old, and able to understand Malay were recruited from an urban primary care clinic and a tertiary education institution in Malaysia. A researcher administered the ACPQ-M to participants via a face-to-face interview at baseline and 2 weeks later. Each interview took approximately 10–20 min. Results A total of 222/232 participants agreed to participate (response rate = 96.0%). Exploratory factor analysis and confirmatory factor analysis found that the ACPQ-M was a 4-factor model. The Cronbach’s α values for the four domains ranged from 0.674–0.947. Only 157/222 participants completed the test-retest (response rate = 71%). At test-retest, quadratic weighted kappa values for all domains ranged from 0.340–0.674, except for two domains which ranged from − 0.200-0.467. Conclusions The ACPQ-M was found to be a 4-factor model, and a valid and reliable instrument to assess the KAP regarding ACP. This instrument can contribute to profound understanding of the KAP of Malaysians regarding ACP, and assist policy makers in determining the readiness for legislation of ACP in Malaysia.

scholarly journals On Redefining the Body Image Satisfaction Questionnaire: A Preliminary Test of Multidimensionality

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 876
Author(s):  
Filipe Rodrigues ◽  
Diogo Monteiro ◽  
Pedro Flores ◽  
Pedro Forte
Keyword(s):  
Body Image ◽  
Factor Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Preliminary Test ◽  
The Body ◽  
Body Image Satisfaction ◽  
Satisfaction Questionnaire ◽  
Five Dimensions ◽  
Psychometric Quality

The aim of the present study was to examine the Body Image Satisfaction Questionnaire (BISQ) as a multidimensional instrument, designed to measure individuals’ body image satisfaction. A sample of 790 Portuguese healthy adults (female = 399; male = 391) aged 18 and 49 years old (M = 28.61, SD = 7.97) completed the BISQ. Exploratory factor analysis of the BISQ provided initial psychometric validity for a five-factor model assessing five dimensions of body image, namely, face, upper torso, lower torso, lower body, and overall body appearance. Confirmatory factor analysis supported this five-correlated model, in which a bifactor model provided the best fit to the data, defining a body image satisfaction factor and five specific factors. The BISQ clearly distinguished between various dimensions of body image satisfaction and showed satisfactory psychometric quality through factor analyses. This measure may have a broad application for research and practice, as a tool for capturing individual body image satisfaction.

Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

2019 ◽  
Vol 4 (3) ◽  
pp. 173-186 ◽  
Author(s):  
Mia Pépin ◽  
Linda Kwakkenbos ◽  
Marie-Eve Carrier ◽  
Sandra Peláez ◽  
Ghassan El-Baalbaki ◽  
...  
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Systemic Sclerosis ◽  
North America ◽  
Confirmatory Factor Analysis ◽  
Support Groups ◽  
Support Group ◽  
Factor Model ◽  
The United States ◽  
Confirmatory Factor

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

Exploring the Factor Structure of the Job Demands-Resources Measure With Patient Violence on Direct Care Workers in the Home Setting

2017 ◽  
Vol 25 (2) ◽  
pp. 257-274 ◽  
Author(s):  
Ha Do Byon ◽  
Donna Harrington ◽  
Carla L. Storr ◽  
Jane Lipscomb
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Job Demands ◽  
Direct Care ◽  
Direct Care Workers ◽  
Home Setting ◽  
Patient Violence ◽  
Measurement Framework ◽  
Care Workers

Background and Purpose: Workplace violence research in health care settings using the Job Demands-Resources (JD-R) framework is hindered by the lack of comprehensive examination of the factor structure of the JD-R measure when it includes patient violence. Is patient violence a component of job demands or its own factor as an occupational outcome? Method: Exploratory factor analysis and confirmatory factor analysis were conducted using a sample of direct care workers in the home setting (n = 961). Results: The overall 2-construct JD-R structure persisted. Patient violence was not identified as a separate factor from job demands; rather, two demand factors emerged: violence/emotional and workload/physical demands. Conclusions: Although the three-factor model fits the data, the two-factor model with patient violence being a component of job demands is a parsimonious and effective measurement framework.

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