Validating the Resource-Management Inventory (ReMI)
Testing Measurement Invariance and Predicting Academic Achievement in a Sample of First-Year University Students
Abstract
Abstract. There is substantial evidence that students in higher education who have sophisticated resource-management skills are more successful in their studies. Nevertheless, research shows that students are often not adequately prepared to use resource-management strategies effectively. It is thus crucial to screen and identify students who are at risk of poor resource management (and consequently, reduced academic achievement) to provide them with appropriate support. For this purpose, we extend the validation of a situational-judgment-based instrument called Resource-Management Inventory (ReMI), which assesses resource-management competency (including knowledge of resource-management strategies and the self-reported ability to use this knowledge in learning situations). We evaluated the ReMI regarding factor structure, measurement invariance, and its impact on academic achievement in different study domains in a sample of German first-year students (N = 380). The results confirm the five-factor structure that has been found in a previous study and indicate strong measurement invariance. Furthermore, taking cognitive covariates into account, the results confirm that the ReMI can predict students’ grades incrementally. Finally, a multi-group analysis shows that the findings can be generalized across different study domains. Overall, we provide evidence for a valid and efficient instrument for the assessment of resource-management competency in higher education.
References
2019). Impact of time management behaviors on undergraduate engineering students’ performance. SAGE Open, 9, 1–11. https://doi.org/10.1177/2158244018824506
(2006). Effects of reflection prompts when learning with hypermedia. Journal of Educational Computing Research, 35, 359–375. https://doi.org/10.2190/94V6-R58H-3367-G388
(2005, October). Gender differences in self-regulated learning. Paper Presented at the Annual Meeting of the Northeastern Educational Research Association, New York, NY.
(2015). Self-regulated learning strategies and academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. https://doi.org/10.1016/j.iheduc.2015.04.007
(2003). The issue of measurement invariance revisited. Journal of Cross-Cultural Psychology, 34, 155–175. https://doi.org/10.1177/0022022102250225
(2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464–504. https://doi.org/10.1080/10705510701301834
(2005). Testing measurement invariance of second-order factor models. Structural Equation Modeling, 12, 471–492. https://doi.org/10.1207/s15328007sem1203_7
(2013). Differential use of learning strategies in first-year higher education: The impact of personality, academic motivation, and teaching strategies. The British Journal of Educational Psychology, 83, 238–251. https://doi.org/10.1111/bjep.12016
(2015). Competencies for successful self-regulated learning in higher education: Structural model and indications drawn from expert interviews. Studies in Higher Education, 40, 454–470. https://doi.org/10.1080/03075079.2015.1004236
(2010). Applied missing data analysis. New York, NY: Guilford Press.
(2017). Quantity and quality of motivational regulation among university students. Educational Psychology, 37, 1154–1170. https://doi.org/10.1080/01443410.2017.1322177
(2017). Knowledge vs. action: Discrepancies in university students’ knowledge about and self-reported use of self-regulated learning strategies. Frontiers in Psychology, 8, 1288. https://doi.org/10.3389/fpsyg.2017.01288
(2016). Effects of using motivational regulation strategies on students’ academic procrastination, academic performance, and well-being. Learning and Individual Differences, 49, 162–170. https://doi.org/10.1016/j.lindif.2016.06.008
(2000). Kognitiver Fähigkeitstest für 4. bis 12. Klassen, Revision (KFT 4–12 + R)
([Test on cognitive abilities for grades 4–12, Revised] . Göttingen, Germany: Hogrefe.2014). Student drop-out from German higher education institutions. European Journal of Education, 49, 497–513. https://doi.org/10.1111/ejed.12097
(2013). Investigating differences in preservice science teachers’ resource management strategies in preparing laboratory report. Procedia – Social and Behavioral Sciences, 116, 4140–4144. https://doi.org/10.1016/j.sbspro.2014.01.905
(1999). Test theory: A unified treatment. Mahwah, NJ: Erlbaum.
(2007).
(Application of confirmatory factor analysis and structural equation modeling in sport and exercise psychology . In G. TenenbaumR. C. EklundEds., Handbook of sport psychology (3rd ed., pp. 774–798). Hoboken, NJ: Wiley. https://doi.org/10.1002/9781118270011.ch351992). Cognition and instruction: Their historic meeting within educational psychology. Journal of Educational Psychology, 84, 405–412. https://doi.org/10.1037/0022-0663.84.4.405
(1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525–543.
(1990).
(The development of strategies of selective attention . In D. F. BjorklundEd., Children’s strategies: Contemporary views of cognitive development (pp. 157–184). Hillsdale, NJ: Erlbaum.2016). Third wave of measurement in the self-regulated learning field: When measurement and intervention come hand in hand. Scandinavian Journal of Educational Research, 60, 723–735. https://doi.org/10.1080/00313831.2015.1066436
(2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422
(2001). Academic control and action control in the achievement of college students: A longitudinal field. Journal of Educational Psychology, 93, 776–788. https://doi.org/10.1037//0022-0663.93.4.776
(1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33–40. https://doi.org/10.1037/0022-0663.82.1.33
(1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53, 801–813. https://doi.org/10.1177/0013164493053003024
(2006). The revised learning and study strategies inventory: An evaluation of competing models. Educational and Psychological Measurement, 66, 448–458. https://doi.org/10.1177/0013164405282454
(2004). Methodological issues in questionnaire-based research on student learning in higher education. Educational Psychology Review, 16, 347–358.
(2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138, 353–387. https://doi.org/10.1037/a0026838
(2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1–3. https://doi.org/10.18637/jss.v048.i02
(2016). Assessing self-regulated learning in higher education: A systematic literature review of self-report instruments. Educational Assessment, Evaluation and Accountability, 28, 225–250. https://doi.org/10.1007/s11092-015-9229-2
(2017). First-year college students’ time use: Relations with self-regulation and GPA. Journal of Advanced Academics, 28, 5–27. https://doi.org/10.1177/1932202X16676860
(2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1, 3–14. https://doi.org/10.1007/s11409-006-6893-0
(2019). Entwicklung und erste Validierung eines Situational-Judgement-Instruments zur Erfassung von Kompetenzen im Bereich des Ressourcenmanagements (ReMI)
([Development and validation of a new instrument for students’ resource-management assessment] . Diagnostica, 65, 108–118. https://doi.org/10.1026/0012-1924/a0002172001).
(Vergleichende Leistungsmessung in Schulen – eine umstrittene Selbstverständlichkeit [Comparative assessment in schools – A controversial naturalness] . In F. E. WeinertEd., Leistungsmessungen in Schulen (pp. 17–31). Basel, Switzerland: Beltz.1987). LASSI: Learning and Study Strategies Inventory. Clearwater, FL: H&H Publishing.
(1994). Lernstrategien im Studium. Ergebnisse zur Faktorenstruktur und Reliabilität eines neuen Fragebogens
([Learning strategies in higher education: Results of the factor structure and reliability of a new questionnaire] . Zeitschrift für Differentielle und Diagnostische Psychologie, 15, 185–200.2008).
(Self-regulated learning as a competence: Implications of theoretical models for assessment methods . Journal of Psychology, 216, 102–110. https://doi.org/10.1027/0044-3409.216.2.102