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Influence of motivation, self-efficacy and situational factors on the teaching quality of clinical educators

BMC Medical EducationBMC series – open, inclusive and trusted201717:84

DOI: 10.1186/s12909-017-0923-2

Received: 2 August 2016

Accepted: 27 April 2017

Published: 8 May 2017



Being exposed to good teachers has been shown to enhance students’ knowledge and their clinical performance, but little is known about the underlying psychological mechanisms that provide the basis for being an excellent medical teacher. Self-Determination Theory (SDT) postulates that more self-regulated types of motivation are associated with higher performance. Social Cognitive Theory (SCT) focuses on self-efficacy that has been shown to be positively associated with performance. To investigate the influences of different types of teaching motivation, teaching self-efficacy, and teachers’ perceptions of students’ skills, competencies and motivation on teaching quality.


Before the winter semester 2014, physicians involved in bedside teaching in internal medicine at the University Medical Center Hamburg-Eppendorf completed a questionnaire with sociodemographic items and instruments measuring different dimensions of teaching motivation as well as teaching self-efficacy. During the semester, physicians rated their perceptions of the participating students who rated the teaching quality after each lesson. We performed a random intercept mixed-effects linear regression with students’ ratings of teaching quality as the dependent variable and students’ general interest in a subject as covariate. We explored potential associations between teachers’ dispositions and their perceptions of students’ competencies in a mixed-effects random intercept logistic regression.


94 lessons given by 55 teachers with 500 student ratings were analyzed. Neither teaching motivation nor teaching self-efficacy were directly associated with students’ rating of teaching quality. Teachers’ perceptions of students’ competencies and students’ general interest in the lesson’s subject were positively associated with students’ rating of teaching quality. Physicians’ perceptions of their students’ competencies were significantly positively predicted by their teaching self-efficacy.


Teaching quality might profit from teachers who are self-efficacious and able to detect their students’ competencies. Students’ general interest in a lesson’s subject needs to be taken into account when they are asked to evaluate teaching quality.


Teaching quality Clinical teaching Clinical teacher Undergraduate education Motivation Physician Self-determination theory Self-efficacy Student evaluation of teaching


Medical education research provides evidence that clinical teachers influence students’ performance: being exposed to good teachers is associated with better clinical performance and greater medical knowledge of students [13]. Three main categories of characteristics of good clinical teachers have been identified: 1) knowledge, competencies, and skills as a physician, 2) enthusiasm for medicine and teaching, and 3) general positive human characteristics such as communication skills and respect for others as reflected in a supportive learning environment [4]. However, little is known about the underlying psychological structures that provide the basis for being a good clinical teacher.

One of these underlying structures might be motivation, which can be defined as “those psychological processes involved with the arousal, direction, intensity, and persistence of voluntary actions that are goal directed” [5]. Among many motivational theories, predominantly Self-Determination Theory (SDT) [6] has influenced educational research in the context of work and organizational psychology in the last two decades. SDT proposes a multidimensional view of motivation and distinguishes between three major types of motivation depending on the level of involved autonomy or self-determination: autonomous motivation (comprising intrinsic motivation and identified regulation), controlled motivation (comprising external regulation and introjected regulation), and amotivation [6]. SDT postulates that more self-determined types of motivation are associated with higher effort in actions at which the motivation is targeted, and empirical findings show that they are associated with greater commitment and better performance regarding these actions [7]. Furthermore, studies from non-medical settings demonstrate that teachers’ autonomous teaching motivation can foster autonomous learning motivation in their students [810], and students’ autonomous learning motivation can positively affect academic performance [11]. The potential of SDT for medical education has been acknowledged by Ten Cate et al., who also advise to consider teacher motivation in educational research [12].

Another psychological mechanism with potential relevance for high quality teaching is perceived self-efficacy, which constitutes a central construct of Social Cognitive Theory (SCT) and which can be defined as the extent to which a person believes to be able to successfully complete an action [13, 14]. According to SCT, self-efficacy beliefs affect both motivation and performance [13]. Meta-analyses provide clear evidence for the positive relationship between self-efficacy beliefs and work performance [15, 16]. In non-medical settings, the impact of teacher self-efficacy on students’ academic achievement has already been demonstrated [1719]. Regarding teachers, higher teaching-self-efficacy was associated with a more persistent behavior [20] and with striving for improved didactic methods [21].

Recent studies in medical education research suggest that, when investigating the effect of teachers on students, the effects of students on teachers also have to be considered in order to control for potential confounding. Two qualitative studies imply that teachers’ perceptions of their students within the teaching context might play an important role on their situational motivation [22, 23]. They identified two main categories of characteristics of “good students” from the perspective of educators: skills/competencies and conduct [22, 23]. Teachers prefer enthusiastic, motivated, proactive, respectful, and disciplined students [22, 23]. Based on these findings, we assume that teacher’ perceptions of student behavior within the teaching may also influence teaching behavior and quality.

Therefore, we hypothesize that autonomous types of teaching motivation are associated with higher teaching quality than controlled types of teaching motivation. We also assume that teaching amotivation is negatively associated with teaching quality. Furthermore, we assume that teaching self-efficacy is positively associated with teaching quality. Finally, we assume that teachers’ positive perceptions of students’ behaviors are positively associated with teaching quality.


Study design

We conducted a prospective observational study with clinical teachers from the Department of Internal Medicine at the University Medical Center Hamburg-Eppendorf. Internal Medicine comprised the subspecialties cardiology, endocrinology, gastroenterology, infectious diseases, nephrology, oncology and pneumology. All teachers were physicians (residents or consultants) employed at our University Medical Center with their main task being patient care. The learners were students form our traditional curriculum (semester 5 to 8 of 12) and from our vertically integrated curriculum (semester 5 of 12), which were both offered at the University Medical Center Hamburg-Eppendorf at the time of data collection. We chose bedside teaching (BST) as the type of lesson for our study as it constitutes a large part of both undergraduate medical curricula and physician-patient interaction represents an important part of students’ future work. Students rotate between different wards every week and encounter different teachers. Teachers are selected by their respective departments and need to be at least first year residents. Every single BST encounter comprises 45 min (in both curricula), in which three to eight students visit one or two patients and practice history-taking as well as physical examination under the supervision of one teacher. Selection of patients occurs by the individual clinical teacher based on learning objectives for the respective clinical discipline [24].

Each of the 85 physicians who had been scheduled for at least one bedside teaching lesson during the winter semester 2014/15 (October 2014 to February 2015) received a paper-and-pencil questionnaire 3 weeks before the beginning of the semester which contained socio-demographic items, an instrument measuring different dimensions of teaching motivation, and an instrument measuring teaching-related self-efficacy (see below). During the semester after each lesson, physicians received a questionnaire with five short items regarding situational factors, which might have influenced the lesson (see below). At the same time, students filled out a questionnaire rating several aspects of teaching quality with respect to the particular BST lesson (see below). In order to counteract potential loss of motivation for filling out the questionnaires, we raffled 10 book vouchers at a value of 25 Euro each at the end of the semester.


Teaching motivation

Teaching motivation was measured using the Physicians’ Teaching Motivation Questionnaire (PTMQ), which is a validated multidimensional self-assessment instrument based on SDT containing the subscales ‘intrinsic teaching motivation’, ‘identified teaching motivation’, ‘career teaching motivation’, ‘introjected teaching motivation’, ‘external teaching motivation’ and ‘teaching amotivation’ [25]. In a validation study, the factorial validity of the instrument, its concurrent criterion validity as well as its incremental validity over global work motivation were confirmed [25].

Teaching self-efficacy (TSE)

In order to assess TSE, we used the Physician Teaching Self-Efficacy Questionnaire (PTSQ) [26]. This validated scale consists of 16 items that represent typical critical situations regularly faced by medical teachers such as time strain, problems with patients and patient selection, interruptions of the lesson, short-term allocation of teachers to lessons, or unmotivated students [23, 24, 26, 27]. A five-point Likert-scale of agreement was used for the rating of these items.

Situational variables

After each lesson, physicians rated their perceptions concerning three situational student variables, which were identified as important in a previous study: students’ motivation and engagement, the appropriateness of students’ previous skills and knowledge with respect to the lessons content as well as students’ punctuality and other indicators of respect [23]. As studies suggest that workload can influence teaching quality [28, 29], we also included one item each for a) physicians’ perceptions of having had enough time to prepare the lesson and b) for having felt stressed before the lesson due to other work tasks as potentially confounding variables. All situational variables were rated on a five-point Likert scale of agreement. The original and translated items are provided in Additional file 1.

Teaching quality

For the student ratings of teaching quality, we used 13 items from three validated questionnaires: the Maastricht Clinical Teaching Questionnaire (MCTQ) [30], a validated German questionnaire for the evaluation of seminars in universities (FESEM) [31] and a German questionnaire for the generic evaluation of teaching (HILVE II) [32]. Furthermore, we complemented these existing items with self-constructed items. This approach was necessary because none of these instruments was fully applicable to assess the quality of teaching within the context of BST. The means of the selected items represent four indicators of teaching quality: learning climate, behavior towards patients, didactics, and motivation and enthusiasm. As ceiling effects are known in student evaluations of teaching [33], we tried to prevent this by providing a nine-point Likert scale of agreement and by giving short instructions on how to use the scale with each distribution of the questionnaire. Items were formulated positively (e.g. “She/he gave me constructive and useful feedback”) and rated on a nine point Likert scale of agreement ranging from 1 (“does not apply at all”) until 9 (“applies without any restrictions”). The individual items, their means and the internal consistencies of the subscales are provided in Additional file 2.

Socio-demographic characteristics and confounders

We collected the following data to be included as potential confounders in our statistical model: teachers’ age and sex, teaching experience in years, having participated in our medical centers’ teacher training program and students’ sex. Furthermore, students’ general interest was included as it has been identified as a potential source of bias in medical students’ ratings of teaching [34].

Statistical analyses

Missing values were replaced using the expectation-maximization algorithm in SPSS. First, we performed a confirmatory factor analysis (CFA) to examine the structural fit of the student ratings of teaching quality to the data.

In order to examine the influences of teacher dispositions and situational variables on teaching quality, we performed a mixed-effects linear regression. This model accounts for the hierarchical data structure involving teachers who had several lessons and the same students rating different teachers due to rotations within the semester. For the resulting three cluster levels (teacher, student, lesson) we included random intercepts for each with the following modeling approach: teaching lessons were modeled as nested within single teachers, which were modeled as crossed between student ratings. As our primary dependent outcome variable, the four subcategories of the student ratings were modeled as repeated measures of teaching quality. Additionally, we included a variable that identifies the four subcategories to estimate potential mean differences between them. We assumed that resulting residuals were identical and independently distributed. The five motivation scores, the teaching self-efficacy score as well as the five situation variables were simultaneously modeled as predictors of teaching quality. Furthermore, to avoid potential confounding, student characteristics (gender, general interests in topic) and teacher characteristics (age, gender, teaching experience, participation in teacher training) were included in the model.

In a second exploratory step, we examined the influence of the physicians’ dispositions on those situational variables that significantly predict student ratings of teaching quality (in this case teachers’ perceptions of their students’ prior knowledge and competencies) as dichotomous variable with a mixed effects logistic regression. Because each teacher assessed several lessons only once, the unit “teacher” was modeled as a random intercept and teachers’ motivation and self-efficacy scores as fixed effects. As before, the teacher characteristics were included as confounders. Nominal p-values are reported without correction for multiplicity. Two-sided p-values <0.05 were considered as significant. The factorial structure of teaching quality as rated by the students was analyzed using IBM AMOS 22, all other analyses were conducted with StataCorp Stata 14. The Ethics Committee of the Hamburg Chamber of Physicians confirmed the innocuousness of this study and its congruence with the Declaration of Helsinki. No questionnaires contained names; instead, anonymous identification codes were used to match questionnaires by the same persons.



75 teachers (88.2%) returned their questionnaires measuring teaching motivation and teaching self-efficacy. Data from 123 BST-lessons were collected. 13 lessons could not be analyzed due to missing teacher questionnaires measuring motivation and/or teaching self-efficacy, further 12 because of missing questionnaires with teachers’ perceptions of a lesson, 2 because no student ratings were available and 2 because no information regarding teaching experience was given. Five student ratings had to be excluded from analysis due to missing students’ identification codes. This resulted in 94 lessons held by 55 different teachers suitable for analysis (Table 1), in which 237 different students filled out 500 questionnaires after the lessons, resulting in an average amount of 5.3 student ratings per lesson (range 1 to 9). 88 lessons (93.6%) were rated by three or more students.
Table 1

Sociodemographic characteristics of the physician sample (n = 55)


M ± SD / %

Age (years)

34.9 ± 6.9






Teaching experience (years)

6.2 ± 6.3

Participation in teacher training





Occupational position





 Attending physician




Among the motivational categories, identified teaching motivation was most pronounced, followed by intrinsic teaching motivation (Table 2). Among the situational variables, teachers’ perceptions of students’ respect were most pronounced, while the impression of having had enough time to prepare the lesson was least pronounced. Our assumed factorial structure of one superordinate factor indicating general teaching quality and comprising the four subcategories learning climate, behavior towards patients, didactics as well as motivation and enthusiasm showed acceptable to good fit after deleting one item for learning climate (RMSEA = .078, CFI = .972, TLI = .956, SRMR = .032). Learning climate received the best student ratings (M = 8.4, SD = 1.1), while didactics received the worst (M = 7.9, SD = 1.3). As students’ ratings of teaching quality displayed a strong ceiling effect, the data were transformed by calculating the logarithmized values.
Table 2

Means of teaching quality, teaching motivation, teaching self-efficacy and situational variables



M ± SD

Outcome: Teaching qualitya



7.9 ± 1.3

 Learning climate


8.4 ± 1.1

 Motivation and enthusiasm


8.1 ± 1.3

 Behavior towards patients


8.1 ± 1.2

Motivational categoriesb

55 for all


 Intrinsic TM


2.7 ± 0.9

 Identified TM


3.2 ± 0.7

 Introjected TM


0.7 ± 0.8

 External TM


1.5 ± 1.0

 T Amotivation


0.9 ± 0.9

Teaching self-efficacyb


2.5 ± 0.5

Situational variablesb

94 for all


 Enough time to prepare lesson


2.1 ± 1.2

 Stress before lesson


2.2 ± 1.1

 Perceived students’ motivation


3.1 ± 0.7

 Perceived students’ competences


2.9 ± 0.8

 Perceived students’ respect


3.6 ± 0.6

TM Teaching Motivation, T Teaching

ascale from 1 to 9 with 9 = best rating

bscale from 0 to 4, higher values representing stronger manifestation

Predictors of teaching quality

Analyses indicated that there were no linear relationships between the situational variables as perceived by the teachers and students’ ratings of teaching quality. Therefore, the situational variables were treated as categorical variables in the following analyses.

As for the confounders, students’ general interest in the subject of a lesson was significantly positively associated with students’ ratings of teaching quality (factor: 1.07; 95%-CI 1.05–1.08; p < 0.001; Table 3). As for physician’s personal dispositions, no type of teaching motivation nor teaching self-efficacy were significantly associated with students’ ratings of teaching quality. As for the situational variables, the physicians’ perceptions of their students’ competencies were significantly associated with students’ ratings of teaching quality (p = .004). The categories that express a stronger agreement than the category “hardly applies” did not differ significantly among each other, but each category showed significantly higher ratings in comparison to “hardly applies”.

In a next step, we investigated associations between the teachers’ perceptions of their students’ competencies and teachers’ dispositions in a mixed effects logistic regression (Table 4). Physicians’ perceptions of their students’ competencies were significantly positively predicted by their teaching self-efficacy (OR = 24.66; 95%-CI 1.45–418.18; p = .026). With a smaller effect size, teaching amotivation was also significantly positively associated with physicians’ perceptions of their students’ competencies (OR = 5.61; 95%-CI 1.12–28.17; p = .036).
Table 3

Predictors of teaching quality


Unstandardized adjusted est. Parameter (Factor)



p global

Physician demographics







 Sex (ref.: “female”)






 Teaching experience (years)






 Participation in teacher training (ref.: “no”)






Physicians’ teaching motivation (PTMQ)































Physicians’ teaching self-efficacy (PTSQ)






Situational variables as perceived by the physicians

 Stress due to other tasks






 Enough time for preparing the lesson






 Students’ motivation






 Students’ prior knowledge and skills (ref.: “hardly applies”)






  - “partly applies”






  - “rather applies”






  - “completely applies”






 Students’ respectful behavior



Student variables

 Sex (ref.: “female”))






 General interests in topic





Table 4

Logistic regression of physicians’ perceptions of their students’ competences on physicians’ dispositions

Physicians’ dispositions










 Sex (ref. “female”)





 Teaching experience (years)





 Participation in teacher training (ref. “no”)





Teaching motivation (PTMQ)


























Teaching self-efficacy





OR Odd’s Ratio

The unit “physician” was modeled as a random intercept and physicians’ motivation and self-efficacy scores as fixed effects.


In contrast to the predictions of SDT and SCT, we found no direct impact of teaching motivation or self-efficacy on teaching quality. At the same time, student ratings of teaching quality were very high. This might indicate that, at least for the lessons we investigated, autonomous motivation or self-efficacy are not necessary to achieve high ratings for teaching quality during BST. A reason for this might be the relatively strong standardization of BST lessons in the departments we investigated, in which predefined standards for the learning goals and the execution of the lessons exist. Furthermore, it is possible that teaching motivation and self-efficacy exert an effect on other variables outside lessons that we did not measure, such as participation in the organization of teaching, and voluntarily offering to undertake more teaching lessons [25]. However, we found a positive association between ratings of teaching quality and teachers’ perceptions of students’ previous knowledge and skills. Perception of adequate knowledge and skills might result in teachers’ stronger involvement, leading to higher teaching quality [23]. A reason could be that teachers who rate their students’ competencies highly might have assessed their students’ prior knowledge and skills and adapted their teaching strategies accordingly, leading to higher student ratings. Activating prior knowledge has been found to be an important cognitive didactic approach for effective learning in education in general [35] and in medical education in particular [36]. On the other hand, studies suggest a positive association between grading leniency and student evaluations [37, 38]. In our study, the teaching physicians did not give grades, but it cannot be excluded that generally less strict and demanding teachers were given better student ratings.

Moreover, we found that teachers’ situational perceptions of their students’ knowledge and skills were predicted by teachers’ teaching self-efficacy. This might be due to some physicians’ ability and readiness to focus on strengths instead of weaknesses, applying this focus on their own capabilities as well as on their students’ and could be explained by the so-called psychological process of projection. This process has been demonstrated in studies from social psychology especially for members of the same group with which one identifies [39]. Teacher trainings could not only enhance physicians’ ability to detect their students’ competencies, but also their teaching self-efficacy. Furthermore, with a lower effect size, teachers’ situational perceptions of their students’ knowledge and skills were positively predicted by teaching amotivation. It is possible that teachers who are less motivated are also less demanding. However, this effect could also have been caused by less motivated teachers who did not fill out the questionnaires thoroughly and carefully.

Included as a confounder variable, students’ general interest in the subject of a specific lesson showed a positive association with ratings of teaching quality. This is consistent with the finding that prior interest in a certain topic influences student evaluations in higher education [34, 40]. While this effect is seen as a potential bias by most authors, others have questioned the causality of the association and suggest that frequent exposure to good teaching raises interest in a subject [41]. However, due to the design of our curriculum where students spend only short rotations in the different departments of internal medicine, it is unlikely that prior good teaching of a specific subject has influenced their interest in this particular subject in our study.

A strength of our study lies in focusing on an important clinical teaching format, BST, which enabled us to assess specific situational factors. On the other hand, due to the shortness of the BST lessons, students’ time spent with an individual teacher might have been too limited for teaching motivation and self-efficacy to unfold their impact effectively. A lack of enough time to experience a certain teacher might also have led to less differentiated student ratings as reflected by their low variance. Furthermore, the weekly evaluation of their teachers could have resulted in a loss of students’ motivation to fill out the questionnaires carefully. Therefore, an underestimation of the strengths of the association cannot be excluded. On the other hand, the rating of different teachers by the same students allowed us to statistically correct for students’ individual response biases. Our assessment of teaching quality might constitute a limitation to the interpretation of our results. First, the assessment of teaching quality by means of student ratings is not without controversy in the literature. While there is evidence that student ratings correlate with expert ratings, several potential sources of bias have been revealed as well [34, 4245]. On the other hand, additional raters can increase the risk of reactivity [46], which occurs when observed individuals change their behavior or performance. Therefore, a strength of our study lies in the simultaneous consideration of basic dispositions and situational variables within a naturalistic setting. However, in future studies, more objective types of assessments might be employed. A second potential weakness of our assessment of teaching quality might be that we did not use a validated instrument. However, as we used categories of teaching quality that are described to be important in the research on good clinical teachers and partially adopted items from well-validated questionnaires, we believe that content and face validity can be assumed. In the confirmatory factor analysis of our scale for the assessment of teaching quality, the multilevel structure has not been accounted for, which could have resulted in a distortion of the results of the confirmatory factor analysis. Furthermore, in this study, the actual learning effects of the students have not been assessed. It might be possible that, while teachers’ motivations and self-efficacy do not affect student ratings, possibly due to rating bias, they might affect actual learning progress. Another potential weakness is that we did not assess students’ prior experience with BST. It can be assumed that students with more experience can differentiate stronger and therefore estimate the quality of teaching more precisely. Therefore, this potential moderator variable should be assessed in future studies.

Our results imply that teaching quality might benefit from training teachers in the ability to detect their students’ competencies and from enhancing physicians’ teaching self-efficacy. As postulated by Bandura and confirmed in various studies, the main sources of self-efficacy constitute mastery experiences, positive vicarious experiences, verbal persuasion and the subjective interpretation of physiological and affective states during an action [13, 14]. Teacher trainings should be based on these principles to effectively enhance physicians’ teaching self-efficacy. However, our results do not imply that teaching motivation is generally irrelevant to teaching quality. Our findings might be restricted to the special type of lessons we investigated and to our choices of assessment. Therefore, different types of lessons should be investigated in future studies as well as implications of teaching motivation apart from the actual teaching, e.g. the readiness to organize lessons, involvement in curriculum development and others. Furthermore, as autonomous types of motivation have been found to be associated with the well-being of employees, the teaching motivation of clinical teachers should also be considered from this perspective [6]. In addition, assessments of students’ learning progress, e.g. with OSCEs, might be are more reliable criterion for teaching quality than student evaluations of teaching quality and could help to further clarify the relationships between teaching motivation, teaching self-efficacy and teaching quality in clinical teaching.


In conclusion, our findings indicate that neither teaching motivation nor teaching self-efficacy have a direct impact on teaching quality within our setting of BST. However, clinical teachers’ perception of students’ competencies are associated with higher ratings of teaching quality and are predicted by teachers’ self-efficacy. Furthermore, students’ general interest in a lessons’ topic seems to constitute a bias on student evaluations of teaching.



Bedside teaching


Confirmatory factor analysis


Physicians’ Teaching Motivation Questionnaire


Social Cognitive Theory


Self-Determination Theory


Teaching self-efficacy



We would like to thank all physicians and students who participated in this study. We would also like to thank Daniela Vogel and Sarah Prediger for helping with the data collection.


No funding was received for this study.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available at this time as they are in use for answering further research questions. Afterwards, the data will be available through the first author of the manuscript on reasonable request.

Authors’ contributions

CD and SH conceived of the study and acquired the data. SS and CD performed the statistical analyses. CD drafted the manuscript. All authors read and approved the final manuscript.

Competing interests

SH has a position as Section Editor to BMC Medical Education. There are no other competing interests from the authors.

Consent for publication

Not applicable.

Ethical approval and consent to participate

The Ethics Committee of the Hamburg Chamber of Physicians confirmed the innocuousness of this study and its congruence with the Declaration of Helsinki. Informed consent to participate in this study was obtained and the anonymity of all participants has been guaranteed.

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Authors’ Affiliations

Department of Internal Medicine, University Medical Center Hamburg-Eppendorf
Institute for Biometrics and Epidemiology, University Medical Center Hamburg-Eppendorf


  1. Griffith CH, Wilson JF, Haist SA, Ramsbottom-Lucier M. Relationships of how well attending physicians teach to their students' performances and residency choices. Acad Med. 1997;72:S118–20.View ArticleGoogle Scholar
  2. Stern DT, Williams BC, Gill A, Gruppen LD, Woolliscroft JO, Grum CM. Is there a relationship between attending physicians' and residents' teaching skills and students' examination scores? Acad Med. 2000;75:1144–6.View ArticleGoogle Scholar
  3. Roop SA, Pangaro L. Effect of clinical teaching on student performance during a medicine clerkship. Am J Med. 2001;110:205–9.View ArticleGoogle Scholar
  4. Sutkin G, Wagner E, Harris I, Schiffer R. What makes a good clinical teacher in medicine? A review of the literature. Acad Med. 2008;83:452–66.View ArticleGoogle Scholar
  5. Mitchell TR. Matching motivational strategies with organizational contexts. In: Cummings LL, Staw BM, editors. Research in organizational behavior. Greenwich, CT: JAI Press; 1997. p. 57–149.Google Scholar
  6. Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55:68–78.View ArticleGoogle Scholar
  7. Gagné M, Deci EL. Self-determination theory and work motivation. J Organ Behav. 2005;26:331–62.View ArticleGoogle Scholar
  8. Kunter M, Klusmann U, Baumert J, Richter D, Voss T, Hachfeld A. Professional competence of teachers: effects on instructional quality and student development. J Educ Psychol. 2013;105:805–20.View ArticleGoogle Scholar
  9. Radel R, Sarrazin P, Legrain P, Wild TC. Social contagion of motivation between teacher and student: analyzing underlying processes. J Educ Psychol. 2010;102:577–87.View ArticleGoogle Scholar
  10. Roth G, Assor A, Kanat-Maymon Y, Kaplan H. Autonomous motivation for teaching: how self-determined teaching may lead to self-determined learning. J Educ Psychol. 2007;99:761–74.View ArticleGoogle Scholar
  11. Kusurkar RA, Ten Cate TJ, Vos CM, Westers P, Croiset G. How motivation affects academic performance: a structural equation modelling analysis. Adv Health Sci Educ. 2013;18:57–69.View ArticleGoogle Scholar
  12. Ten Cate TJ, Kusurkar RA, Williams GC. How self-determination theory can assist our understanding of the teaching and learning processes in medical education. AMEE guide no. 59. Med Teach. 2011;33:961–73.View ArticleGoogle Scholar
  13. Bandura A. Self-efficacy. In: Ramachaudran VS, editor. Encyclopedia of human behavior. New York: Academic Press; 1994. p. 71–81.Google Scholar
  14. Bandura A. Self-efficacy: the exercise of control. New York W.H: Freeman; 1997.Google Scholar
  15. Stajkovic AD, Luthans F. Self-efficacy and work-related performance: a meta-analysis. Psychol Bull. 1998;124:240–61.View ArticleGoogle Scholar
  16. Judge TA, Bono JE. Relationship of core self-evaluations traits - self-esteem, generalized self-efficacy, locus of control, and emotional stability - with job satisfaction and job performance: a meta-analysis. J Appl Psychol. 2001;86:80–92.View ArticleGoogle Scholar
  17. Ross JA. Teacher efficacy and the effects of coaching on student achievement. Can J Educ. 1992;17:51–65.View ArticleGoogle Scholar
  18. Anderson RN, Greene ML, Loewen PS. Relationships among teachers' and students' thinking skills, sense of efficacy, and student achievement. Alberta J Educ Res. 1988;34:148–65.Google Scholar
  19. Caprara GV, Barbaranelli C, Steca P, Malone PS. Teachers' self-efficacy beliefs as determinants of job satisfaction and students' academic achievement: a study at the school level. J Sch Psychol. 2006;44:473–90.View ArticleGoogle Scholar
  20. Gibson S, Dembo MH. Teacher efficacy: a construct validation. J Educ Psychol. 1984;76:569–82.View ArticleGoogle Scholar
  21. Guskey TR. Teacher efficacy, self-concept, and attitudes toward the implementation of instructional innovation. Teach Teach Educ. 1988;4:63–9.View ArticleGoogle Scholar
  22. Goldie J, Dowie A, Goldie A, Cotton P, Morrison J. What makes a good clinical student and teacher? An exploratory study. BMC Med Educ. 2015;15:40.View ArticleGoogle Scholar
  23. Dybowski C, Harendza S. "teaching is like nightshifts ...": a focus group study on the teaching motivations of clinicians. Teach Learn Med. 2014;26:393–400.View ArticleGoogle Scholar
  24. Gierk B, Harendza S. Patient selection for bedside teaching: inclusion and exclusion criteria used by teachers. Med Educ. 2012;46:228–33.View ArticleGoogle Scholar
  25. Dybowski C, Harendza S. Validation of the physician teaching motivation questionnaire (PTMQ). BMC Med Educ. 2015;15:1–12.View ArticleGoogle Scholar
  26. Dybowski C, Kriston L, Harendza S. Psychometric properties of the newly developed Physician Teaching Self-efficacy Questionnaire (PTSQ). BMC Med Educ. 2016;16:247.View ArticleGoogle Scholar
  27. Celenza A, Rogers IR. Qualitative evaluation of a formal bedside clinical teaching programme in an emergency department. Emerg Med J. 2006;23:769–73.View ArticleGoogle Scholar
  28. Berger TJ, Ander DS, Terrell ML, Berle DC. The impact of the demand for clinical productivity on student teaching in academic emergency departments. Acad Emerg Med. 2004;11:1364–7.View ArticleGoogle Scholar
  29. Robinson RL. Hospitalist workload influences faculty evaluations by internal medicine clerkship students. Adv Med Educ Pract. 2015;6:93–8.View ArticleGoogle Scholar
  30. Stalmeijer RE, Dolmans DH, Wolfhagen IH, Muijtjens AM, Scherpbier AJ. The Maastricht clinical teaching questionnaire (MCTQ) as a valid and reliable instrument for the evaluation of clinical teachers. Acad Med. 2010;85:1732–8.View ArticleGoogle Scholar
  31. Staufenbiel T. Fragebogen zur Evaluation von universitären Lehrveranstaltungen durch Studierende und Lehrende. Diagnostica. 2000;46:169–81.View ArticleGoogle Scholar
  32. Lehrevaluation RH. Einführung und Überblick zu Forschung und Praxis der Lehrveranstaltungsevaluation an Hochschulen mit einem Beitrag zur Evaluation compu- terbasierten Unterrichts. Landau: Empirische Pädagogik; 2001.Google Scholar
  33. Keeley JW, English T, Irons J, Henslee AM. Investigating halo and ceiling effects in student evaluations of instruction. Educ Psychol Meas. 2013;73:440–57.View ArticleGoogle Scholar
  34. Schiekirka S, Raupach T. A systematic review of factors influencing student ratings in undergraduate medical education course evaluations. BMC Med Educ. 2015;15:30.View ArticleGoogle Scholar
  35. Dochy F, Segers M, Buehl MM. The relation between assessment practices and outcomes of studies: the case of research on prior knowledge. Rev Educ Res. 1999;69:145–86.View ArticleGoogle Scholar
  36. Spencer J. Learning and teaching in the clinical environment. BMJ. 2003;326:591–4.View ArticleGoogle Scholar
  37. Feldman K. Identifying exemplary teachers and teaching: evidence from student ratings. In: Perry R, Smart J, editors. The scholarship of teaching and learning in higher education: an evidence-based perspective. Dordrecht: Springer Netherlands; 2007. p. 93–143.View ArticleGoogle Scholar
  38. Brockx B, Spooren P, Mortelmans D. Taking the grading leniency story to the edge. The influence of student, teacher, and course characteristics on student evaluations of teaching in higher education. Educ Assess Eval Acc. 2011;23:289–306.View ArticleGoogle Scholar
  39. Robbins JM, Krueger JI. Social projection to ingroups and outgroups: a review and meta-analysis. Personal Soc Psychol Rev. 2005;9:32–47.View ArticleGoogle Scholar
  40. Wachtel HK. Student evaluation of college teaching effectiveness: a brief review. Assess Eval High Educ. 1998;23:191–212.View ArticleGoogle Scholar
  41. Greimel-Fuhrmann B, Geyer A. Students' evaluation of teachers and instructional quality - analysis of relevant factors based on empirical evaluation research. Assess Eval High Educ. 2003;28:229–38.View ArticleGoogle Scholar
  42. Kuhnigk O, Weidtmann K, Anders S, Hüneke B, Santer R, Harendza S. Lectures based on cardinal symptoms in undergraduate medicine - effects of evaluation-based interventions on teaching large groups. GMS Z Med Ausbild. 2011;28:Doc15.
  43. Marsh HW. Students' evaluations of University teaching: research findings, methodological issues, and directions for future research. Int J Educ Res. 1987;11:253–388.View ArticleGoogle Scholar
  44. Wright P, Whittington R, Whittenburg GE. Student ratings of teaching effectiveness: what the research reveals. J Accounting Educ. 1984;2:5–30.View ArticleGoogle Scholar
  45. Marsh HW, Hocevar D. Students' evaluations of teaching effectiveness: the stability of mean ratings of the same teachers over a 13-year period. Teach Teach Educ. 1991;7:303–14.View ArticleGoogle Scholar
  46. Scriven M. Summative teacher evaluation. In: Millman J, editor. Handbook of teacher evaluation. Thousand Oaks: Sage; 1981. p. 244–71.Google Scholar


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