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Development of the rubric self-efficacy scale

Year 2018, Volume: 5 Issue: 1, 187 - 200, 01.01.2018
https://doi.org/10.21449/ijate.373040

Abstract

The purpose of this study is to develop a valid and reliable measurement tool determining teachers’ self-efficacy regarding rubrics. Especially in educational environments, rubrics are measurement tools used in the assessment phase of student products usually based on higher-order thinking skills. Determination of teachers’ self-efficacy regarding rubrics can give researchers an idea on how often and how accurately teachers use such tools. For this reason, the existence of a tool accurately measuring self-efficacy variable is necessary. This study’s sample consists of 641 elementary, middle and high school teachers. To determine teachers’ self-efficacy levels regarding rubrics, 47-item draft was developed. As a result of validity and reliability analyzes, a 28-item measurement tool with a four-factor structure was obtained. The total scale’s and sub-factors’ internal consistency is quite high. Using this scale, researchers can examine the relationships between teachers’ self-efficacy and various variables that play an important role in education. In addition, comparative studies on the intended use of rubrics can be conducted by determining teachers’ self-efficacy levels regarding rubrics. 

References

  • Andrade, H. G. (2005). Teaching with rubrics: The good, the bad, and the ugly. College Teaching. 53(1).
  • Andrade, H. G., & Du, Y. (2005). Student perspectives on rubric-referenced assessment. Practical Assessment, Research & Evaluation, 10(3).
  • Andrade, H., Wang, X., Du, Y., & Akawi, R. (2009). Rubric-referenced self-assessment and self-efficacy for writing. The Journal of Educational Research, 102(4), 287-302.
  • Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84 (2), 191-215.
  • Bandura, A. (1994). Self-efficacy. In V.S. Ramachaudran (Ed.), Encyclopedia of Human Behavior, (4), 71-81. New York: Academic Press.
  • Brookhart, S. M. (2013). How to create and use rubrics for formative assessment and grading. Alexandria, VA: ASCD.
  • Byrne, B. M. (2003). The issue of measurement invariance revisited. Journal of Cross-Cultural Psychology, 34(2), 155-175.
  • Caprara, G. V., Barbaranelli, C., Steca, P., & Malone, P. S. (2006). Teachers’ self-efficacy beliefs as determinants of job satisfaction and students’ academic achievement: a study at the school level. Journal of School Psychology, 44, 473-490.
  • Cronbach, L. J. (1970). Essentials of psychological testing. Harper & Row. p. 161.
  • Cureton, E. E. (1966). Corrected item-test correlations. Psychometrika, 31, 93-96.
  • Elias, S., & Loomis, R. (2002). Utilizing need for cognition and perceived self-efficacy to predict academic performance. Journal of Applied Social Psychology, 32(8), 1687- 1702.
  • Guilford, J. P. (1953). The correlation of an item with a composite of the remaining items in a test. Educational and Psychological Measurement, 13, 87-93.
  • Jerusalem, M. (2002). Theroretischer Teil - Einleitung I, Zeitschrift für Pädagogik, 44, 8-12.
  • Jonsson, A. (2014). Rubrics as a way of providing transparency in assessment. Assessment & Evaluation in Higher Education, 39 (7), 840-852. doi:10.1080/02602938.2013.875117
  • Kelley, T. L. (1939). The selection of upper and lower groups for the validation of test items. Journal of Educational Psychology, 30(1), 17-24.
  • Likert, R. (1932). A Techniques for the measurement of attitudes. Archives of Psychology, 140, 5-53.
  • Metin, M. (2013). Öğretmenlerin performans görevlerini hazırlarken ve uygularken karşılaştığı sorunlar. Kuram ve Uygulamada Eğitim Bilimleri, 13(3), 1645- 1673.
  • Metin, M., & Özmen, H. (2010). Fen ve teknoloji öğretmenlerinin performans değerlendirmeye yönelik hizmet içi eğitim (HİE) ihtiyaçlarının belirlenmesi. Kastamonu Eğitim Dergisi, 18(3), 819-838.
  • Moskal, B. M. (2000). Scoring rubrics: What, when and how? Practical Assesment, Research & Evaluation, 7(3),1-5.
  • Özkan, Ö., Tekkaya, C., & Çakıroğlu, J. (2002). Fen bilgisi aday öğretmenlerin fen kavramlarının anlama düzeyleri, fen öğretimine yönelik tutum ve öz-yeterlik inançları. V. Ulusal Fen Bilimleri Eğitimi Kongresi, ODTÜ, Ankara.
  • Panadero, E., & Jonsson, A. (2013). The use of scoring rubrics for formative assessment purposes revisited: A review. Educational Research Review, 9, 129–144. doi:10.1016/j.edurev.2013.01.002.
  • Panadero, E., Jonsson, A., & Strijbos, J. W. (2016). Scaffolding self-regulated learning through selfassessment and peer assessment: Guidelines for classroom implementation. In D. Laveault & L. Allal (Eds.), Assessment for learning: Meeting the challenge of implementation (pp. 311–326). Cham: Springer International Publishing.
  • Popham, W. J. (1997). What’s wrong—and what’s right—with rubrics. Educational Leadership, 55(2), 72-75.
  • Popham, W. J. (2007). Classroom Assessment: What Teachers Need to Know. Pearson Education, 5th Edition, USA.
  • Raykov T, Marcoulides G. A. (2006). FundamenFtals of structural equation modeling. A first course in structural equation modeling. 2nd ed. London: Lawrence Erlbaum Associates; p.1-3, 41-3.
  • Reddy, Y., & Andrade, H. (2010). A review of rubric use in higher education. Assessment & Evaluation in Higher Education, 35, 435- 448. doi:10.1080/02602930902862859.
  • Reynolds, J., Smith, R., Moskovitz, C., & Sayle, A. (2009). BioTAP: A Systematic Approach to Teaching Scientific Writing and Evaluating Undergraduate Theses. BioScience, 59 (10), 896–903. doi:10.1025/bio.2009.59.10.11
  • Riggs, I. M. ve Enochs L. G. (1990). Toward the development of an elementary teacher’s science teaching efficacy belief instrument. Science Education, 74(6), 625-637.
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodnessof-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  • Schwarzer R. (1993). General percevied self-efficacy in 14 cultures. Retrieved on 5-June 2007, at URL http://Web.Fu-Berlin.De/Gesund/Publicat/Ehpscd/Health/World14.Htm
  • Tabachnick, B. G., & Fidel, L. S. (2001). Using multivariate statistics. Fourth Edition. Needham Heights, MA: Allyn & Bacon.
  • Tavşancıl, E. (2005). Tutumların ölçülmesi ve SPSS ile veri analizi. Nobel Yayınları, Ankara
  • Tschannen-Moran, M., Woolfolk Hoy, A., & Hoy, W. K. (1998). Teacher efficacy: Its meaning and measure. Review of Educational Research, 68, 202-248.
  • Tschannen-Moran, M., & Woolfolk Hoy, A. (2001). Teacher efficacy: Capturing and elusive construct. Teaching and Teacher Education, 17, 783-805.
  • Venning, J., & F. Buisman-Pijlman (2013). Integrating Assessment Matrices in Feedback Loops to Promote Research Skill Development in Postgraduate Research Projects. Assessment and Evaluation in Higher Education, 38 (5): 567–579.
  • Vieira, A. L. (2011). Preparation of the analysis. Interactive LISREL in practice. 1st ed. London: Springer; p.13-4
  • Wiggins, G. (1991). Standart, not standardization: Evoking quality student work. Educational Leadership. 48(5), 18-25.
  • Yılmaz, M., Köseoğlu, P., Gerçek, C., Soran, H. (2004). Yabancı Dilde Hazırlanan Bir Öğretmen Öz-yeterlik Ölçeğinin Türkçeye Uyarlanması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 27, 260-267.
  • Zimmerman, B.J. (2000). Self-Efficacy: An Essential Motive to Learn. Contemporary Educational Psychology, 25, 82–91. doi:10.1006/ceps.1999.1016

Development of the rubric self-efficacy scale

Year 2018, Volume: 5 Issue: 1, 187 - 200, 01.01.2018
https://doi.org/10.21449/ijate.373040

Abstract

The
purpose of this study is to develop a valid and reliable measurement tool
determining teachers’ self-efficacy regarding rubrics. Especially in
educational environments, rubrics are measurement tools used in the assessment
phase of student products usually based on higher-order thinking skills.
Determination of teachers’ self-efficacy regarding rubrics can give researchers
an idea on how often and how accurately teachers use such tools.  For this reason, the existence of a tool
accurately measuring self-efficacy variable is necessary. This study’s sample
consists of 641 elementary, middle and high school teachers. To determine
teachers’ self-efficacy levels regarding rubrics, 47-item draft was developed.
As a result of validity and reliability analyzes, a 28-item measurement tool
with a four-factor structure was obtained. The total scale’s and sub-factors’
internal consistency is quite high. Using this scale, researchers can examine
the relationships between teachers’ self-efficacy and various variables that
play an important role in education. In addition, comparative studies on the
intended use of rubrics can be conducted by determining teachers’ self-efficacy
levels regarding rubrics. 

References

  • Andrade, H. G. (2005). Teaching with rubrics: The good, the bad, and the ugly. College Teaching. 53(1).
  • Andrade, H. G., & Du, Y. (2005). Student perspectives on rubric-referenced assessment. Practical Assessment, Research & Evaluation, 10(3).
  • Andrade, H., Wang, X., Du, Y., & Akawi, R. (2009). Rubric-referenced self-assessment and self-efficacy for writing. The Journal of Educational Research, 102(4), 287-302.
  • Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84 (2), 191-215.
  • Bandura, A. (1994). Self-efficacy. In V.S. Ramachaudran (Ed.), Encyclopedia of Human Behavior, (4), 71-81. New York: Academic Press.
  • Brookhart, S. M. (2013). How to create and use rubrics for formative assessment and grading. Alexandria, VA: ASCD.
  • Byrne, B. M. (2003). The issue of measurement invariance revisited. Journal of Cross-Cultural Psychology, 34(2), 155-175.
  • Caprara, G. V., Barbaranelli, C., Steca, P., & Malone, P. S. (2006). Teachers’ self-efficacy beliefs as determinants of job satisfaction and students’ academic achievement: a study at the school level. Journal of School Psychology, 44, 473-490.
  • Cronbach, L. J. (1970). Essentials of psychological testing. Harper & Row. p. 161.
  • Cureton, E. E. (1966). Corrected item-test correlations. Psychometrika, 31, 93-96.
  • Elias, S., & Loomis, R. (2002). Utilizing need for cognition and perceived self-efficacy to predict academic performance. Journal of Applied Social Psychology, 32(8), 1687- 1702.
  • Guilford, J. P. (1953). The correlation of an item with a composite of the remaining items in a test. Educational and Psychological Measurement, 13, 87-93.
  • Jerusalem, M. (2002). Theroretischer Teil - Einleitung I, Zeitschrift für Pädagogik, 44, 8-12.
  • Jonsson, A. (2014). Rubrics as a way of providing transparency in assessment. Assessment & Evaluation in Higher Education, 39 (7), 840-852. doi:10.1080/02602938.2013.875117
  • Kelley, T. L. (1939). The selection of upper and lower groups for the validation of test items. Journal of Educational Psychology, 30(1), 17-24.
  • Likert, R. (1932). A Techniques for the measurement of attitudes. Archives of Psychology, 140, 5-53.
  • Metin, M. (2013). Öğretmenlerin performans görevlerini hazırlarken ve uygularken karşılaştığı sorunlar. Kuram ve Uygulamada Eğitim Bilimleri, 13(3), 1645- 1673.
  • Metin, M., & Özmen, H. (2010). Fen ve teknoloji öğretmenlerinin performans değerlendirmeye yönelik hizmet içi eğitim (HİE) ihtiyaçlarının belirlenmesi. Kastamonu Eğitim Dergisi, 18(3), 819-838.
  • Moskal, B. M. (2000). Scoring rubrics: What, when and how? Practical Assesment, Research & Evaluation, 7(3),1-5.
  • Özkan, Ö., Tekkaya, C., & Çakıroğlu, J. (2002). Fen bilgisi aday öğretmenlerin fen kavramlarının anlama düzeyleri, fen öğretimine yönelik tutum ve öz-yeterlik inançları. V. Ulusal Fen Bilimleri Eğitimi Kongresi, ODTÜ, Ankara.
  • Panadero, E., & Jonsson, A. (2013). The use of scoring rubrics for formative assessment purposes revisited: A review. Educational Research Review, 9, 129–144. doi:10.1016/j.edurev.2013.01.002.
  • Panadero, E., Jonsson, A., & Strijbos, J. W. (2016). Scaffolding self-regulated learning through selfassessment and peer assessment: Guidelines for classroom implementation. In D. Laveault & L. Allal (Eds.), Assessment for learning: Meeting the challenge of implementation (pp. 311–326). Cham: Springer International Publishing.
  • Popham, W. J. (1997). What’s wrong—and what’s right—with rubrics. Educational Leadership, 55(2), 72-75.
  • Popham, W. J. (2007). Classroom Assessment: What Teachers Need to Know. Pearson Education, 5th Edition, USA.
  • Raykov T, Marcoulides G. A. (2006). FundamenFtals of structural equation modeling. A first course in structural equation modeling. 2nd ed. London: Lawrence Erlbaum Associates; p.1-3, 41-3.
  • Reddy, Y., & Andrade, H. (2010). A review of rubric use in higher education. Assessment & Evaluation in Higher Education, 35, 435- 448. doi:10.1080/02602930902862859.
  • Reynolds, J., Smith, R., Moskovitz, C., & Sayle, A. (2009). BioTAP: A Systematic Approach to Teaching Scientific Writing and Evaluating Undergraduate Theses. BioScience, 59 (10), 896–903. doi:10.1025/bio.2009.59.10.11
  • Riggs, I. M. ve Enochs L. G. (1990). Toward the development of an elementary teacher’s science teaching efficacy belief instrument. Science Education, 74(6), 625-637.
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: tests of significance and descriptive goodnessof-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
  • Schwarzer R. (1993). General percevied self-efficacy in 14 cultures. Retrieved on 5-June 2007, at URL http://Web.Fu-Berlin.De/Gesund/Publicat/Ehpscd/Health/World14.Htm
  • Tabachnick, B. G., & Fidel, L. S. (2001). Using multivariate statistics. Fourth Edition. Needham Heights, MA: Allyn & Bacon.
  • Tavşancıl, E. (2005). Tutumların ölçülmesi ve SPSS ile veri analizi. Nobel Yayınları, Ankara
  • Tschannen-Moran, M., Woolfolk Hoy, A., & Hoy, W. K. (1998). Teacher efficacy: Its meaning and measure. Review of Educational Research, 68, 202-248.
  • Tschannen-Moran, M., & Woolfolk Hoy, A. (2001). Teacher efficacy: Capturing and elusive construct. Teaching and Teacher Education, 17, 783-805.
  • Venning, J., & F. Buisman-Pijlman (2013). Integrating Assessment Matrices in Feedback Loops to Promote Research Skill Development in Postgraduate Research Projects. Assessment and Evaluation in Higher Education, 38 (5): 567–579.
  • Vieira, A. L. (2011). Preparation of the analysis. Interactive LISREL in practice. 1st ed. London: Springer; p.13-4
  • Wiggins, G. (1991). Standart, not standardization: Evoking quality student work. Educational Leadership. 48(5), 18-25.
  • Yılmaz, M., Köseoğlu, P., Gerçek, C., Soran, H. (2004). Yabancı Dilde Hazırlanan Bir Öğretmen Öz-yeterlik Ölçeğinin Türkçeye Uyarlanması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 27, 260-267.
  • Zimmerman, B.J. (2000). Self-Efficacy: An Essential Motive to Learn. Contemporary Educational Psychology, 25, 82–91. doi:10.1006/ceps.1999.1016
There are 39 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Articles
Authors

Perihan Güneş

Özen Yıldırım

Miraç Yılmaz

Publication Date January 1, 2018
Submission Date November 1, 2017
Published in Issue Year 2018 Volume: 5 Issue: 1

Cite

APA Güneş, P., Yıldırım, Ö., & Yılmaz, M. (2018). Development of the rubric self-efficacy scale. International Journal of Assessment Tools in Education, 5(1), 187-200. https://doi.org/10.21449/ijate.373040

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