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Emotional intelligence medical education: measuring the unmeasurable?.

Advances in health sciences education : theory and practice

Lewis NJ, Rees CE, Hudson JN, Bleakley A.
PMID: 16362622
Adv Health Sci Educ Theory Pract. 2005 Nov;10(4):339-55. doi: 10.1007/s10459-005-4861-0.

The construct of emotional intelligence (EI) has gained increasing popularity over the last 10 years and now has a relatively large academic and popular associated literature. EI is beginning to be discussed within the medical education literature, where, however,...

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Lewis NJ, Rees CE, Hudson JN, et al. Emotional intelligence medical education: measuring the unmeasurable?. Adv Health Sci Educ Theory Pract. 2005;10(4):339-55doi: 10.1007/s10459-005-4861-0.
Lewis, N. J., Rees, C. E., Hudson, J. N., & Bleakley, A. (2005). Emotional intelligence medical education: measuring the unmeasurable?. Advances in health sciences education : theory and practice, 10(4), 339-55. https://doi.org/10.1007/s10459-005-4861-0
Lewis, Natalie J, et al. "Emotional intelligence medical education: measuring the unmeasurable?." Advances in health sciences education : theory and practice vol. 10,4 (2005): 339-55. doi: https://doi.org/10.1007/s10459-005-4861-0
Lewis NJ, Rees CE, Hudson JN, Bleakley A. Emotional intelligence medical education: measuring the unmeasurable?. Adv Health Sci Educ Theory Pract. 2005 Nov;10(4):339-55. doi: 10.1007/s10459-005-4861-0. PMID: 16362622.
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Coming to consensus on health literacy measurement: an online discussion and consensus-gauging process.

Nursing outlook

Pleasant A, McKinney J.
PMID: 21402205
Nurs Outlook. 2011 Mar-Apr;59(2):95-106.e1. doi: 10.1016/j.outlook.2010.12.006.

Health literacy continues to experience the normal growing pains of an emerging field of inquiry and practice. The evolving concept of health literacy requires the development of new measurement tools to adequately study interventions and identify best practices. This...

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Pleasant A, McKinney J. Coming to consensus on health literacy measurement: an online discussion and consensus-gauging process. Nurs Outlook. 2011;59(2):95-106.e1doi: 10.1016/j.outlook.2010.12.006.
Pleasant, A., & McKinney, J. (2011). Coming to consensus on health literacy measurement: an online discussion and consensus-gauging process. Nursing outlook, 59(2), 95-106.e1. https://doi.org/10.1016/j.outlook.2010.12.006
Pleasant, Andrew, and McKinney, Julie. "Coming to consensus on health literacy measurement: an online discussion and consensus-gauging process." Nursing outlook vol. 59,2 (2011): 95-106.e1. doi: https://doi.org/10.1016/j.outlook.2010.12.006
Pleasant A, McKinney J. Coming to consensus on health literacy measurement: an online discussion and consensus-gauging process. Nurs Outlook. 2011 Mar-Apr;59(2):95-106.e1. doi: 10.1016/j.outlook.2010.12.006. PMID: 21402205.
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AMEE Education Guide no. 29: evaluating educational programmes.

Medical teacher

Goldie J.
PMID: 16753718
Med Teach. 2006 May;28(3):210-24. doi: 10.1080/01421590500271282.

Evaluation has become an applied science in its own right in the last 40 years. This guide reviews the history of programme evaluation through its initial concern with methodology, giving way to concern with the context of evaluation practice...

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Goldie J. AMEE Education Guide no. 29: evaluating educational programmes. Med Teach. 2006;28(3):210-24doi: 10.1080/01421590500271282.
Goldie, J. (2006). AMEE Education Guide no. 29: evaluating educational programmes. Medical teacher, 28(3), 210-24. https://doi.org/10.1080/01421590500271282
Goldie, John. "AMEE Education Guide no. 29: evaluating educational programmes." Medical teacher vol. 28,3 (2006): 210-24. doi: https://doi.org/10.1080/01421590500271282
Goldie J. AMEE Education Guide no. 29: evaluating educational programmes. Med Teach. 2006 May;28(3):210-24. doi: 10.1080/01421590500271282. PMID: 16753718.
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Are current psychometric tools suitable for measuring outcomes of diabetes education?.

Diabetic medicine : a journal of the British Diabetic Association

Eigenmann CA, Colagiuri R, Skinner TC, Trevena L.
PMID: 19388974
Diabet Med. 2009 Apr;26(4):425-36. doi: 10.1111/j.1464-5491.2009.02697.x.

AIMS: To critically appraise the suitability, validity, reliability, feasibility and sensitivity to change of available psychometric tools for measuring the education outcomes identified in the (Australian) National Consensus on Outcomes and Indicators for Diabetes Patient Education.METHODS: Potentially suitable psychometric...

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Eigenmann CA, Colagiuri R, Skinner TC, et al. Are current psychometric tools suitable for measuring outcomes of diabetes education?. Diabet Med. 2009;26(4):425-36doi: 10.1111/j.1464-5491.2009.02697.x.
Eigenmann, C. A., Colagiuri, R., Skinner, T. C., & Trevena, L. (2009). Are current psychometric tools suitable for measuring outcomes of diabetes education?. Diabetic medicine : a journal of the British Diabetic Association, 26(4), 425-36. https://doi.org/10.1111/j.1464-5491.2009.02697.x
Eigenmann, C A, et al. "Are current psychometric tools suitable for measuring outcomes of diabetes education?." Diabetic medicine : a journal of the British Diabetic Association vol. 26,4 (2009): 425-36. doi: https://doi.org/10.1111/j.1464-5491.2009.02697.x
Eigenmann CA, Colagiuri R, Skinner TC, Trevena L. Are current psychometric tools suitable for measuring outcomes of diabetes education?. Diabet Med. 2009 Apr;26(4):425-36. doi: 10.1111/j.1464-5491.2009.02697.x. PMID: 19388974.
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Situational judgement tests: the role of coaching.

Medical education

Rostom H, Watson R, Leaver L.
PMID: 23323662
Med Educ. 2013 Feb;47(2):219. doi: 10.1111/medu.12070.

No abstract available.

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Rostom H, Watson R, Leaver L. Situational judgement tests: the role of coaching. Med Educ. 2013;47(2):219doi: 10.1111/medu.12070.
Rostom, H., Watson, R., & Leaver, L. (2013). Situational judgement tests: the role of coaching. Medical education, 47(2), 219. https://doi.org/10.1111/medu.12070
Rostom, Hussam, et al. "Situational judgement tests: the role of coaching." Medical education vol. 47,2 (2013): 219. doi: https://doi.org/10.1111/medu.12070
Rostom H, Watson R, Leaver L. Situational judgement tests: the role of coaching. Med Educ. 2013 Feb;47(2):219. doi: 10.1111/medu.12070. PMID: 23323662.
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Differentiating developmental outcome between infants with severe disability in research studies: the role of Bayley Developmental Quotients.

The Journal of pediatrics

Jary S, Kmita G, Whitelaw A.
PMID: 21392784
J Pediatr. 2011 Aug;159(2):211-4.e1. doi: 10.1016/j.jpeds.2011.01.037. Epub 2011 Mar 10.

OBJECTIVES: To investigate whether infants with a score

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Jary S, Kmita G, Whitelaw A. Differentiating developmental outcome between infants with severe disability in research studies: the role of Bayley Developmental Quotients. J Pediatr. 2011;159(2):211-4.e1doi: 10.1016/j.jpeds.2011.01.037.
Jary, S., Kmita, G., & Whitelaw, A. (2011). Differentiating developmental outcome between infants with severe disability in research studies: the role of Bayley Developmental Quotients. The Journal of pediatrics, 159(2), 211-4.e1. https://doi.org/10.1016/j.jpeds.2011.01.037
Jary, Sally, et al. "Differentiating developmental outcome between infants with severe disability in research studies: the role of Bayley Developmental Quotients." The Journal of pediatrics vol. 159,2 (2011): 211-4.e1. doi: https://doi.org/10.1016/j.jpeds.2011.01.037
Jary S, Kmita G, Whitelaw A. Differentiating developmental outcome between infants with severe disability in research studies: the role of Bayley Developmental Quotients. J Pediatr. 2011 Aug;159(2):211-4.e1. doi: 10.1016/j.jpeds.2011.01.037. Epub 2011 Mar 10. PMID: 21392784.
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Data analysis strategies for reducing the influence of the bias in cross-cultural research.

Collegium antropologicum

Sindik J.
PMID: 22816195
Coll Antropol. 2012 Mar;36(1):31-7.

In cross-cultural research, researchers have to adjust the constructs and associated measurement instruments that have been developed in one culture and then imported for use in another culture. Importing concepts from other cultures is often simply reduced to language...

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Sindik J. Data analysis strategies for reducing the influence of the bias in cross-cultural research. Coll Antropol. 2012;36(1):31-7
Sindik, J. (2012). Data analysis strategies for reducing the influence of the bias in cross-cultural research. Collegium antropologicum, 36(1), 31-7.
Sindik, Josko. "Data analysis strategies for reducing the influence of the bias in cross-cultural research." Collegium antropologicum vol. 36,1 (2012): 31-7.
Sindik J. Data analysis strategies for reducing the influence of the bias in cross-cultural research. Coll Antropol. 2012 Mar;36(1):31-7. PMID: 22816195.
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Consistency and validity of self-reporting scores in stress measurement surveys.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Masood K, Ahmed B, Choi J, Gutierrez-Osuna R.
PMID: 23367025
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4895-8. doi: 10.1109/EMBC.2012.6347091.

Stress has been attributed to physiological and psychological demands that exceed the natural regulatory capacity of a person. Chronic stress is not only a catalyst for diseases such as hypertension, diabetes, insomnia but may also lead to social problems...

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Masood K, Ahmed B, Choi J, et al. Consistency and validity of self-reporting scores in stress measurement surveys. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4895-8doi: 10.1109/EMBC.2012.6347091.
Masood, K., Ahmed, B., Choi, J., & Gutierrez-Osuna, R. (2012). Consistency and validity of self-reporting scores in stress measurement surveys. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20124895-8. https://doi.org/10.1109/EMBC.2012.6347091
Masood, Khalid, et al. "Consistency and validity of self-reporting scores in stress measurement surveys." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2012 (2012): 4895-8. doi: https://doi.org/10.1109/EMBC.2012.6347091
Masood K, Ahmed B, Choi J, Gutierrez-Osuna R. Consistency and validity of self-reporting scores in stress measurement surveys. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4895-8. doi: 10.1109/EMBC.2012.6347091. PMID: 23367025.
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Rating scales as predictors--the old question of scale level and some answers.

Psychometrika

Tutz G, Gertheiss J.
PMID: 25205003
Psychometrika. 2014 Jul;79(3):357-76. doi: 10.1007/s11336-013-9343-3. Epub 2013 Jun 13.

Rating scales as predictors in regression models are typically treated as metrically scaled variables or, alternatively, are coded in dummy variables. The first approach implies a scale level that is not justified, the latter approach results in a large...

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Tutz G, Gertheiss J. Rating scales as predictors--the old question of scale level and some answers. Psychometrika. 2013;79(3):357-76doi: 10.1007/s11336-013-9343-3.
Tutz, G., & Gertheiss, J. (2014). Rating scales as predictors--the old question of scale level and some answers. Psychometrika, 79(3), 357-76. https://doi.org/10.1007/s11336-013-9343-3
Tutz, Gerhard, and Gertheiss, Jan. "Rating scales as predictors--the old question of scale level and some answers." Psychometrika vol. 79,3 (2014): 357-76. doi: https://doi.org/10.1007/s11336-013-9343-3
Tutz G, Gertheiss J. Rating scales as predictors--the old question of scale level and some answers. Psychometrika. 2014 Jul;79(3):357-76. doi: 10.1007/s11336-013-9343-3. Epub 2013 Jun 13. PMID: 25205003.
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Item set discrimination and the unit in the Rasch model.

Journal of applied measurement

Humphry S.
PMID: 22805360
J Appl Meas. 2012;13(2):165-80.

The aim is to show that it is possible to parameterize discrimination for sets of items, rather than individual items, without destroying conditions for sufficiency in a form of the Rasch model. The form of the model is obtained...

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Humphry S. Item set discrimination and the unit in the Rasch model. J Appl Meas. 2012;13(2):165-80
Humphry, S. (2012). Item set discrimination and the unit in the Rasch model. Journal of applied measurement, 13(2), 165-80.
Humphry, Stephen. "Item set discrimination and the unit in the Rasch model." Journal of applied measurement vol. 13,2 (2012): 165-80.
Humphry S. Item set discrimination and the unit in the Rasch model. J Appl Meas. 2012;13(2):165-80. PMID: 22805360.
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Testing manifest monotonicity using order-constrained statistical inference.

Psychometrika

Tijmstra J, Hessen DJ, van der Heijden PG, Sijtsma K.
PMID: 25107519
Psychometrika. 2013 Jan;78(1):83-97. doi: 10.1007/s11336-012-9297-x. Epub 2012 Dec 06.

Most dichotomous item response models share the assumption of latent monotonicity, which states that the probability of a positive response to an item is a nondecreasing function of a latent variable intended to be measured. Latent monotonicity cannot be...

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Tijmstra J, Hessen DJ, van der Heijden PG, et al. Testing manifest monotonicity using order-constrained statistical inference. Psychometrika. 2012;78(1):83-97doi: 10.1007/s11336-012-9297-x.
Tijmstra, J., Hessen, D. J., van der Heijden, P. G., & Sijtsma, K. (2013). Testing manifest monotonicity using order-constrained statistical inference. Psychometrika, 78(1), 83-97. https://doi.org/10.1007/s11336-012-9297-x
Tijmstra, Jesper, et al. "Testing manifest monotonicity using order-constrained statistical inference." Psychometrika vol. 78,1 (2013): 83-97. doi: https://doi.org/10.1007/s11336-012-9297-x
Tijmstra J, Hessen DJ, van der Heijden PG, Sijtsma K. Testing manifest monotonicity using order-constrained statistical inference. Psychometrika. 2013 Jan;78(1):83-97. doi: 10.1007/s11336-012-9297-x. Epub 2012 Dec 06. PMID: 25107519.
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Observed-score equating: an overview.

Psychometrika

von Davier AA.
PMID: 24092480
Psychometrika. 2013 Oct;78(4):605-23. doi: 10.1007/s11336-013-9319-3. Epub 2013 Feb 05.

In this paper, an overview of the observed-score equating (OSE) process is provided from the perspective of a unifying equating framework (von Davier in von Davier (Ed.), Statistical models for test equating, scaling, and linking, Springer, New York, pp....

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von Davier AA. Observed-score equating: an overview. Psychometrika. 2013;78(4):605-23doi: 10.1007/s11336-013-9319-3.
von Davier, A. A. (2013). Observed-score equating: an overview. Psychometrika, 78(4), 605-23. https://doi.org/10.1007/s11336-013-9319-3
von Davier, Alina A. "Observed-score equating: an overview." Psychometrika vol. 78,4 (2013): 605-23. doi: https://doi.org/10.1007/s11336-013-9319-3
von Davier AA. Observed-score equating: an overview. Psychometrika. 2013 Oct;78(4):605-23. doi: 10.1007/s11336-013-9319-3. Epub 2013 Feb 05. PMID: 24092480.
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Showing 25 to 36 of 219 entries