The Academic Motivation Scale: Dimensionality, Reliability, and Construct Validity Among Vocational Students (2024)

Authors

  • Britt Karin Støen UtværNorwegian University of Science and Technology, Norway
  • Gørill Haugan Norwegian University of Science and Technology, Norway

DOI:

https://doi.org/10.3384/njvet.2242-458X.166217

Keywords:

Self-determination theory, academic motivation scale, confirmatory factor analysis, vocational students, school completion

Abstract

Self-determination theory (SDT) distinguishes types of motivation according to types of self-regulation along a continuum of internalisation. Types of motivation vary in quality and outcomes and are frequently used in research as predictors of educational outcomes such as learning, performance, engagement, and persistence. The Academic Motivation Scale (AMS), which is based on the SDT, has not previously been evaluated in Norway. In response, by using correlation and confirmatory factor analysis, we examined the dimensionality, reliability, and construct validity of the AMS among vocational health and social care students. Our hypothesised 7-factor model demonstrated the best fit, while the AMS demonstrated good reliability and construct validity in the sample of students. However, some improvements remain necessary. In predicting the rate of school completion among students on vocational tracks, amotivation and identified regulation appeared to be more powerful as intrinsic motivational variables.

References

Alivernini, F., & Lucidi, F. (2008). The Academic Motivation Scale (AMS): Factorial structure, invariance, and validity in the Italian context. Testing, Psychometrics, Methodology in Applied Psychology, 15(4), 211–220.

Alivernini, F., & Lucidi, F. (2011). Relationship between social context, self-efficacy, motivation, academic achievement, and intention to drop out of high school: A longitudinal study. The Journal of Educational Research, 104(4), 241–252. DOI: 10.1080/00220671003728062

American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (1999). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.

Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. DOI: 10.1007/BF02723327

Blondal, K.S., Jónasson, J.T., & Tannhauser, A-C. (2011). Dropout in a small society: Is the Icelandic case somehow different? In S. Lamb, E. Markussen, R. Teese, N. Sandberg, & J. Polesel (Eds.), School dropout and completion: International comparative studies in theory and policy (pp. 233–252). Dordrecht, the Netherlands: Springer. DOI: 10.1007/978-90-481-9763-7_13

Brown, T.A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.

Can, G. (2015). Turkish version of the Academic Motivation Scale. Psychological Reports, 116(2), 388–408. DOI: 10.2466/14.08.PR0.116k24w5

Carifio, J., & Perla, R. (2007). Ten common misunderstandings, misconceptions, persistent myths and urban legends about Likert scales and Likert response formats and their antidotes. Journal of Social Sciences, 3(3), 106–116. DOI: 10.3844/jssp.2007.106.116

Clark, L.A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319. DOI: 10.1037/1040-3590.7.3.309

co*kley, K.O., Bernard, N., Cunningham, D., & Motoike, J. (2001). A psycho­metric investigation of the Academic Motivation Scale using a United States sample. Measurement and Evaluation in Counseling and Development, 34, 109–119.

Dahlback, J., Hansen K., Haaland, G., & Sylte, A.L. (2011). Veien til yrkesrelevant opplæring fra første dag i Vg1 [The path to relevant vocational education]. Akershus, Norway: Høgskolen i Akershus.

Deci, E.L., & Ryan, R.M. (1985). Intrinsic motivation and self-determination in human behavior. New York, NY: Plenum. DOI: 10.1007/978-1-4899-2271-7

Deci, E.L., & Ryan, R.M. (2000). The ‘what’ and ‘why’ of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. DOI: 10.1207/S15327965PLI1104_01

Deci, E.L., & Ryan, R.M. (2008). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology/ Psychologie canadienne, 49(1), 14–23. DOI: 10.1037/0708-5591.49.1.14

Deci, E.L., & Ryan, R.M. (2014). Motivation, personality, and development within embedded social contexts: An overview of self-determination theory. In R. Ryan (Ed.), The Oxford handbook of human motivation (pp. 85–107). New York, NY: Oxford University Press.

Fairchild, A.J., Horst, S.J., Finney, S.J., & Barron, K.E. (2005). Evaluating existing and new validity evidence for the Academic Motivation Scale. Contemporary Educational Psychology, 30(3), 331–358. DOI: 10.1016/j.cedpsych.2004.11.001

Fayers, P.M., & Machin. D. (2007). Quality of life: The assessment, analysis and interpretation of patient-reported outcomes. Hoboken, NJ: Wiley. DOI: 10.1002/9780470024522

Goodwin, L.D., & Leech, N.L. (2003). The meaning of validity in the new standards for educational and psychological testing: Implications for measurement courses. Measurement and Evaluation in Counseling and Development, 36(3), 181–191.

Grouzet, F.M.E., Otis, N., & Pelletier, L.G. (2006). Longitudinal cross-gender factorial invariance of the Academic Motivation Scale. Structural Equation Modeling, 13(1), 73–98. DOI: 10.1207/s15328007sem1301_4

Guay, F., Morin, A.J.S., Litalien, D., Valiois, P., & Vallerand, R. (2015). Application of exploratory structural equation modeling to evaluate the Academic Motivation Scale. The Journal of Experimental Education, 83(1), 51–82. DOI: 10.1080/00220973.2013.876231

Guay, F., Ratelle, C.F., & Chanal, J. (2008). Optimal learning in optimal contexts: The role of self-determination in education. Canadian Psychology/Psychologie canadienne, 49(3), 233–240. DOI: 10.1037/a0012758

Hair, J.F., Black W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.

Hansen, K., & Haaland, G. (2015). Utfordringer i norsk yrkesopplæring [Challenges in Norwegian vocational education and training]. In K. Hansen, T.L. Hoel, & G. Haaland (Eds.), Tett på yrkesopplæring [Hands on vocational education and training] (pp. 19–49). Bergen, Norway: fa*gbokforlaget.

Hardre, P.L., & Reeve, J. (2003). A motivational model of rural students’ intentions to persist in, versus drop out of, high school. Journal of Educational Psychology, 95(2), 347–356. DOI: 10.1037/0022-0663.95.2.347

Hiim, H. (2013). Praksisbasert yrkesutdanning: Hvordan utvikle relevant yrkesutdanning for elever og arbeidsliv? [Practice-based vocational education: How to develop relevant professional education for students and working life]. Oslo, Norway: Gyldendal Akademiske.

Jang, H. (2008). Supporting students’ motivation, engagement, and learning during an uninteresting activity. Journal of Educational Psychology, 100(4), 798–811. DOI: 10.1037/a0012841

Jöreskog, K.G., & Sörbom, D. (1995). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago, IL: Scientific Software International.

Kline, R.B. (2011). Principles and practice of structural equation modeling. New York, NY: Guilford Press.

Markussen, E., Sandberg, N., Lødding, B., & Frøseth, M.W. (2008). Bortvalg og kompetanse: Gjennomføring, bortvalg og kompetanseoppnåelse i videregående opplæring blant 9749 ungdommer som gikk ut av grunnskolen på Østlandet våren 2002: hovedfunn, konklusjoner og implikasjoner fem år etter [Early leave, non-completion, or completion? On early leave, non-completion, or completion in upper secondary education among 9,749 young people that left lower secondary school in spring 2002]. Oslo, Norway: NIFU STEP.

Ministry of Education. (2008). NOU 2008:18. fa*gopplæring for framtida [Vocational education for the future]. Oslo, Norway: The Government.

Ministry of Education. (2011). Yrkesretting av Kunnskapsløftet [Vocational orientation of teaching in the Knowledge Promotion Reform]. Retrieved October 28, 2015, from http://www.regjeringen.no/nb/dep/kd/pressesenter/pressemeldinger/2011/yrkesretting-avkunnskapsloftet.html?id=651538

Ministry of Education. (2012). Meld. St. 13 (2011–2012). Utdanning for velferd: Samspill i praksis [Education for welfare: Interaction as key]. Oslo, Norway: The Government.

Ministry of Education. (2013). Meld. St. 20 (2012–2013). På rett vei: Kvalitet og mangfold i fellesskolen [On the right track: Quality and diversity in public school]. Oslo, Norway: The Government.

Mikiewicz, P. (2011). School dropout in secondary education: The case of Poland. In S. Lamb, E. Markussen, R. Teese, N. Sandberg, & J. Polesel (Eds.), School dropout and completion: International comparative studies in theory and policy (pp. 173–190). Dordrecht, the Netherlands: Springer. DOI: 10.1007/978-90-481-9763-7_9

Netemeyer, R.G., Bearden, W.O., & Sharma, S. (2003). Scaling procedures: Issues and applications. Thousand Oaks, CA: Sage. DOI: 10.4135/9781412985772

Olsen, R. (2006). HELT-rapporten: En spørreundersøkelse ved innføringen av kvalitetsreformen ved UiO [HELT report: A survey by the introduction of the Quality Reform at the University]. Oslo, Norway: Studenthelsetjenesten.

Otis, N., Grouzet, F.M.E., & Pelletier, L.G. (2005). Latent motivational change in an academic setting: A 3-year longitudinal study. Journal of Educational Psychology, 97(2), 170–183. DOI: 10.1037/0022-0663.97.2.170

Raykov, T. (2001). Estimation of congeneric scale reliability using covariance structure analysis with nonlinear constraints. British Journal of Mathematical and Statistical Psychology, 54(2), 315–323. DOI: 10.1348/000711001159582

Raykov, T., & Marcoulides, G.A. (2006). On multilevel model reliability estimation from the perspective of structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 13(1), 130–141. DOI: 10.1207/s15328007sem1301_7

Rothman, K.J. (2002). Epidemiology: An introduction. Oxford, UK: Oxford University Press.

Ryan, R.M., & Deci, E.L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. DOI: 10.1037/0003-066X.55.1.68

Ryan, R.M., & Deci, E.L. (2009). Promoting self-determined school engagement: Motivation, learning, and well-being. In K.R. Wentzel, & A. Wigfield (Eds.), Handbook of school motivation (pp. 171–196). New York, NY: Routledge.

Satorra, A., & Bentler, P. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A.V. Eye, & C.C. Clogg (Eds.), Latent variables analysis: Applications for developmental research (pp. 399–419). Thousand Oaks, CA: Sage.

Samdal, A.K., & Smith, K. (2012). Møte med yrkesfa*gleg utdanning i den norske videregående skulen [Meeting vocational education and training in Norwegian secondary schools]. Nordic Journal of Vocational Education and Training, 2(1), 1–18. DOI: 10.3384/njvet.2242-458X.12v2i1a2

Schermelleh–Engel, K., Moosbrugger, H., & Muller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research, 8(2), 23–74.

Statistics Norway. (2016). Throughput in upper secondary school, 2010–2015. Retrieved July 7, 2016, from

http://www.ssb.no/utdanning/statistikker/vgogjen/aar/2016-06-02?fane=tabell&sort=nummer&tabell=268109

Tabachnick, B.G., & Fidell, L.S. (2001). Using multivariate statistics. Boston, MA: Allyn and Bacon.

Utdanningsdirektoratet. (2012). The education mirror. Retrieved September 9, 2015, from

http://www.udir.no/Upload/Rapporter/2012/US2012_ENG_nettversjon.pdf?epslanguage=no

Utvær, K.S.B. (2014). Explaining health and social care students’ experiences of meaningfulness in vocational education: The importance of life goals, learning support, perceived competence, and autonomous motivation. Scandinavian Journal of Educational Research, 58(6), 639–658. DOI: 10.1080/00313831.2013.821086

Vallerand, R.J., & Bissonnette, R. (1992). Intrinsic, extrinsic, and amotivational styles as predictors of behavior: A prospective study. Journal of Personality, 60(3), 599–620. DOI: 10.1111/j.1467-6494.1992.tb00922.x

Vallerand, R.J., Fortier, M.S., & Guay, F. (1997). Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout. Journal of Personality and Social Psychology, 72(5), 1161–1176. DOI: 10.1037/0022-3514.72.5.1161

Vallerand, R.J., Pelletier, L.G., Blais, M.R., Brière, N.M., Senècal, C., & Vallières, E.F. (1992). The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017. DOI: 10.1177/0013164492052004025

Vallerand, R.J., Pelletier, L.G., Blais, M.R., Brière, N.M., Senècal, C., & Vallières, E.F. (1993). On the assessment of intrinsic, extrinsic, and amotivation in education: Evidence on the concurrent and construct validity of the Academic Motivation Scale. Educational and Psychological Measurement, 53(1), 159–172. DOI: 10.1177/0013164493053001018

Vansteenkiste, M., Lens, W., & Deci, E.L. (2006). Intrinsic versus extrinsic goal contents in self-determination theory: Another look at the quality of academic motivation. Educational Psychologist, 41(1), 19–31. DOI: 10.1207/s15326985ep4101_4

Vibe, N., Brandt, S.S., & Hovdhaugen, E. (2011). NIFU 2011:19: Underveis i videregående opplæring: evaluering av Kunnskapsløftet: Underveisrapport fra prosjektet ‘Struktur, gjennomføring og kompetanseoppnåelse’ [On the way in secondary education: An evaluation of knowledge promotion: A preliminary report from the Structure, Implementation, and Achievement project]. Oslo, Norway: NIFU.

Waltz, C., Strickland, O., & Lenz, E. (2005). Measurement in nursing research. New York, NY: Springer.

Wendelborg, C., Røe, M.R., & Martinsen, A. (2014). NTNU Samfunnsforskning 2014:14. Yrkesretting og relevans i praksis. En kvalitativ studie om tilpasning av fellesfa*g til yrkesfa*glige studieprogram [Vocational-oriented education and relevance in practice: A qualitative study on the adaptation of the common core to vocational study programmes]. Trondheim, Norway: NTNU Samfunnsforskning.

The Academic Motivation Scale: Dimensionality, Reliability, and Construct Validity Among Vocational Students (2024)

FAQs

Is the academic motivation scale reliable? ›

Various studies indicate favourable reliability scores for the AMS‑C. The original study conducted by Vallerand et al. (1992) found Cronbach's alpha coefficients for the seven‑ factor structure ranging between 0.83 and 0.86.

What does the academic motivation scale measure? ›

Academic Motivation Scale (AMS) is one of the most used instruments to measure the motivation level of students toward learning. Originally, the scale consisted of 28-item seven-point Likert scales [7]. The scale showed a very high level of internal and external consistency in various researches [7-9].

How to score the academic motivation scale? ›

Method of Scoring

The instrument has a total of 28 questions, use the 7-point Likert scale, the minimum score for each question is 1 point and the maximum score is 7 points (1= Does not correspond at all to 7= Corresponds exactly). The 28 items can be grouped into 7 dimensions.

What is the achievement motivation scale for students? ›

The achievement motivation scale was developed based on McClelland's theoretical construct. Based on the results of exploratory factor analysis, the initial four dimensions/attributes were reduced to one dimension/attribute, namely the preference for challenging academic tasks to be completed.

Is the motivation assessment scale reliable? ›

Results showed that only 16 of the 55 raters agreed on the category of reinforcement maintaining their client's or student's SIB, that only 15% of the correlation coefficients obtained were above . 80, and that none of the reliability scores based on percent agreement between raters was above 80%.

What is the student motivation rating scale? ›

The revised Motivation Scale, the Student Opinion Scale (SOS) is comprised of 10 items using a five-point likert scale ranging from 1 “Strongly Disagree” to 5 “Strongly Agree.” Responses to items are summed to form three scores: Total Motivation; Importance, and Effort.

What tools measure academic motivation? ›

The Academic Motivation Scale (AMS) measures extrinsic and intrinsic motivation toward education. No overall scores are reported. Seven subscores are reported: Intrinsic motivation to know and learn (four items)

What are the three types of academic motivation? ›

Autonomous, controlled, and amotivated types of academic motivation: A person-oriented analysis.

What is the internal consistency of the academic motivation scale? ›

Results revealed that the English version of the scale renamed the Academic Motivation Scale (AMS), has satisfactory levels of internal consistency (mean alpha value = . 81) and temporal stability over a one-month period (mean test-retest correlation = . 79).

What is the formula for academic motivation? ›

The motivation formula Expectation X Value = Motivation, or E x V = M is an easy way to explore your motivation and also identify areas where you can raise your motivation.

Who invented the academic motivation scale? ›

Vallerand et al. [34] developed the AMS, which is based on theoretical frame of self-determination theory [19]. The AMS is one of the most popular measures of motivation in the academic area [35].

What is the motivation scale for education? ›

The Echelle de Motivation en Education (EME) is based on the tenets of self-determination theory and is composed of 28 items subdivided into 7 subscales assessing three types of intrinsic motivation (intrinsic motivation to know, to accomplish things, and to experience stimulation), three types of extrinsic motivation ...

What is the reliability and validity of the achievement motivation test? ›

Achievement Motivation Test (ACMT)

Test-retest reliability is 0.91 and validity index of this test is 0.85. The score on the scale range from above 23 which mean high achievement motivation and from bellow 11 which mean low achievement motivation [7].

How do we measure student motivation? ›

The Student Motivation Scale is an instru- ment that measures students' motivation and academic resilience. It assesses these two dimensions through five boosters and four guzzlers. Each booster falls into one of two groups: booster thoughts and booster behaviours.

What is the famous test to measure achievement motivation? ›

The Achievement Motivation Inventory (AMI) is a personality inventory designed to measure a number of work-related constructs. The AMI is viewed as a trait-oriented measure that assesses the concept of achievement motivation (Schuler & Prochaska, 2000). The AMI employs a 7-point Likert scale and consists of 170 items.

Is the academic self-efficacy scale reliable? ›

Reliability was calculated using Cronbach's alpha based on the three-factor model for developing the Academic self-efficacy scale. The Cronbach's alpha (α) for each factor was Cognitive outcomes = 0.843, Social outcomes = 0.725, and Self-growth outcomes = 0.773.

What is the most accurate predictor of academic success? ›

If a student has high self-awareness, self-management, social awareness and relationship management, they're more likely to graduate, excel and become a leader.

How do you know if a scale is reliable psychology? ›

Test-retest reliability is a measure of consistency between two measurements (tests) of the same construct administered to the same sample at two different points in time. If the observations have not changed substantially between the two tests, then the measure is reliable.

References

Top Articles
Latest Posts
Article information

Author: Eusebia Nader

Last Updated:

Views: 5719

Rating: 5 / 5 (80 voted)

Reviews: 87% of readers found this page helpful

Author information

Name: Eusebia Nader

Birthday: 1994-11-11

Address: Apt. 721 977 Ebert Meadows, Jereville, GA 73618-6603

Phone: +2316203969400

Job: International Farming Consultant

Hobby: Reading, Photography, Shooting, Singing, Magic, Kayaking, Mushroom hunting

Introduction: My name is Eusebia Nader, I am a encouraging, brainy, lively, nice, famous, healthy, clever person who loves writing and wants to share my knowledge and understanding with you.