Assessing Quality of Teaching from Different Perspectives: Measurement Invariance across Teachers and Classes

Krammer, Georg; Pflanzl, Barbara; Lenske, Gerlinde; Mayr, Johannes A.

doi:10.1080/10627197.2020.1858785

Cited by 10 publications

(10 citation statements)

References 41 publications

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“…However, research and practice to measure the quality of education, such as tennis education quality evaluation systems and evaluation models, are relatively lagging [10]. The traditional education quality model is ambiguous because the analysis and evaluation of education quality are a very complex nonlinear process involving multiple influencing factors and dynamic variables, which cannot solve various problems [11]. At present, most of the classification schemes of colleges and universities in China are based on diversified criteria, mainly including basic functions, discipline types, talent cultivation levels, school scale, and management system.…”

Section: The Related Workmentioning

confidence: 99%

Study on the Quality Analysis and Improvement of Tennis Teaching under the Internet System

Zhang

2022

Wireless Communications and Mobile Computing

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Improving the quality of tennis teaching and learning is an important part of the modernization of education in China. The limitations of traditional tennis teaching quality evaluation methods have made them controversial, and it is crucial to improve the scientific, rational, and timely evaluation of tenn is teaching quality. Therefore, it is necessary to establish a scientific and rational quality evaluation model for tennis education to evaluate the quality of tennis education. Based on the principle of constructing a perfect tennis teaching quality evaluation system, this paper analyzes the advantages and disadvantages of the previous tennis teaching quality evaluation methods and summarizes the problems existing in the current tennis teaching quality evaluation system in a university. On this basis, to break the limitations of the existing tennis teaching quality evaluation system in a university, a tennis teaching quality evaluation model based on genetic algorithm (GA) and back-propagation (BP) neural network is proposed and a more scientific reasonable tennis teaching quality evaluation system. The evaluation results of BP neural network optimization method based on adaptive mutation genetic algorithm are very satisfactory.

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Section: The Related Workmentioning

confidence: 99%

Study on the Quality Analysis and Improvement of Tennis Teaching under the Internet System

Zhang

2022

Wireless Communications and Mobile Computing

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“…While ecological momentary assessment yields intensive longitudinal data, other somewhat coinciding modes of assessments like ambulatory assessment (e.g., Crawford et al, 2022), daily diary studies (e.g., Rogoza et al, 2023) and experience sampling methods (e.g., Gabriel et al, 2019) also yield the same data structure. The same data structure is also elicited in veins of research where respondents are nested within groups (e.g., Kim et al, 2016) Krammer et al, 2019Krammer et al, , 2021Wagner et al, 2013). In all these cases, ML-SEM can be used to assess the psychometric soundness of the multiple-item questionnaires.…”

Section: Intensive Longitudinal Data and Ml-semmentioning

confidence: 99%

When we measure differently every day: a ML-SEM simulation study on within-person nonuniform measurement bias in intensive longitudinal data

Krammer

2024

Preprint

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This simulation study evaluated how well multilevel structural equation models (ML-SEM) fare in detecting within-person nonuniform measurement bias in intensive longitudinal data. Such a bias would be given if variables would not be equally meaningful and observable within a person across time, thus violating dimensional identity and representing interoccasion variability. Unfortunately, prior simulation studies and studies using intensive longitudinal data show a clear tendency to assume but not test dimensional identity. We simulated 450 conditions with varying sample size, retesting frequency, ICCs, bias type and bias strength and examined Type I error and ML-SEM performance in detecting within-person nonuniform measurement bias. Type I error was well below nominal level. The ²-statistic and CFI outperformed the other fit indices (RMSEA, SRMR-w, SRMR-b). These effects were conditional on all design factors. While ecological momentary assessment motivated our study, findings are applicable to other research settings yielding the same data structure (e.g., ambulatory assessment, daily diary studies, experience sampling methods, and hierarchical data structures in general). We conclude with practical recommendations on samples sizes and re-testing frequencies to ensure adequate power for evaluating model fit.

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“…Several assessment tools have been established for classroom management: the Linz Classroom Leadership Diagnostic Questionnaire ["Linzer Diagnosebogen zur Klassenführung" (LDK), Mayr et al, 2018], the Classroom Assessment Scoring System (CLASS, Pianta et al, 2008), the Questionnaire on Instructional Behaviour (QIB, Perry et al, 2006), and the Classroom Management Self Efficacy Instrument (CMSEI, Slater and Main, 2020). The Linz Questionnaire LDK is commonly used in educational research in German-speaking countries (Krammer et al, 2021) and available for free use in practice. Therefore, we provide a detailed overview of this questionnaire.…”

Section: Defining Concepts Of Classroom Managementmentioning

confidence: 99%

“…These strategies can be grouped into categories or three higher-order factors that concentrate on teacher actions, competencies, and attitudes that contribute to stimulating student learning, minimizing classroom disruptions, and shaping students' attitudes toward the teacher and the subject (Mayr et al, 2021). The factors are instructional clarity, teacher-student relationship and performance monitoring (Krammer et al, 2021). The LDK questionnaire is designed for both student teachers and experienced educators seeking to gain clarity on their pedagogical actions in the classroom or in relation to a specific subject.…”

Section: Defining Concepts Of Classroom Managementmentioning

confidence: 99%

InClass – an instrument to assess classroom management in inclusive and special education with a focus on heterogeneous learning groups

Lutz,

Frey,

Rank

et al. 2024

Front. Educ.

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Organizing lessons for heterogeneous learning groups is a challenge for student teachers and novice teachers. To observe and improve classroom management during student teaching, we have developed an assessment tool. The aim of this study is to evaluate and improve the instrument “Scale for Classroom Management in Inclusive Schools (InClass)” with data from 480 student teachers in internships at elementary or special schools in Germany and Austria. The instrument consists of the three dimensions Adaptive Teaching Scale (ATS), Relationship Scale (RS), Behavior Management Scale (BMS). Confirmatory factor analyses revealed good reliable values (CFI = 0.97, TLI = 0.96, RMSEA = 0.06, SRMR = 0.04) for the three-factor InClass model and could confirm the theoretically developed scales. The latent correlations were between r = 0.74 and r = 0.63. Teachers in elementary schools also showed latent correlations between the three dimensions and their assessment of the implementation of inclusive education in the school ranging from r = 0.51 to r = 0.84. In order to meet the individual needs of all students, with and without special educational needs (SEN), novice teachers in particular should be supported in dealing with heterogeneous learning groups and in using effective classroom management. Instruments such as InClass help student teachers evaluate and reflect on instruction and therefore have an important contribution to teacher education.

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Assessing Quality of Teaching from Different Perspectives: Measurement Invariance across Teachers and Classes

Cited by 10 publications

References 41 publications

Study on the Quality Analysis and Improvement of Tennis Teaching under the Internet System

Study on the Quality Analysis and Improvement of Tennis Teaching under the Internet System

When we measure differently every day: a ML-SEM simulation study on within-person nonuniform measurement bias in intensive longitudinal data

InClass – an instrument to assess classroom management in inclusive and special education with a focus on heterogeneous learning groups

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