Using students’ feedback for teacher education: measurement invariance across pre-service teacher-rated and student-rated aspects of quality of teaching     

Georg Krammer  Barbara Pflanzl  Johannes Mayr 《Assessment & Evaluation in Higher Education》2019,44(4):596-609

Comparing self-perceived quality of teaching to students’ perception can be used in higher education to improve the quality of teaching of pre-service teachers in teacher education. However, comparing these measurements from different perspectives is only meaningful if the same constructs are being measured. To shed light on this comparison’s meaningfulness, we scrutinised whether aspects of quality of teaching are measured in the same way across pre-service teachers and their students by means of measurement invariance analyses. To do so, 272 pre-service teachers in teacher education rated aspects of their quality of teaching, and were rated by their 4851 students. Measurement invariance across these perspectives was tested in multilevel structural equation models. Strong measurement invariance held for two aspects of quality of teaching; for the third, one item lacked weak measurement invariance. Pre-service teachers perceived their quality of teaching lower than their students. In conclusion, aspects of quality of teaching can be compared across perspectives, and teacher education should encourage pre-service teachers to use students’ feedback as a valuable resource for improving their quality of teaching.  相似文献   

A short German Physical-Self-Concept Questionnaire for elementary school children (PSCQ-C): Factorial validity and measurement invariance across gender     

Annette Lohbeck  Maike Tietjens  Andreas Bund 《Journal of sports sciences》2017,35(17):1691-1696

Research on children’s physical self-concept (PSC) is increasingly recognised as an important field of psychology. However, there is a lack of instruments suitable for younger children at elementary school age. In the present study, a short German 21-item Physical Self-Concept-Questionnaire for children (PSCQ-C) was tested measuring seven specific facets of elementary school children’s PSC (strength, endurance, speed, flexibility, coordination, physical appearance, global sport competence). A number of 770 elementary school children aged 8–12 years completed the PSCQ-C. Results showed good psychometric properties and high reliabilities of the seven scales. Confirmatory factor analysis revealed that the presumed 7-factor model fitted the data best compared to a global 1- and 2-factor model. Also, full measurement invariance was strongly established. Correlations among the seven scales were mainly moderate. Gender differences were suggestive of developmental trends that are consistent with prior studies. These results provide support that the PSCQ-C is a confidential instrument with sound psychometric properties measuring seven specific facets of elementary school children’s PSC.  相似文献   

Self‐efficacy of prospective Austrian and German primary school teachers regarding the implementation of inclusive education          下载免费PDF全文

Susanne Schwab  Frank Hellmich  Gamze Görel 《Journal of Research in Special Educational Needs》2017,17(3):205-217

This study examined the psychometric properties of the German version of the Teacher Inclusive Education Self‐Efficacy Scale (TIESES). Five hundred and nineteen teacher education students from Austria and 765 teacher education students from Germany participated in the study. Results of a multiple‐group confirmatory factor analysis (for the two countries) confirmed a single factor structure of the scale with partial scalar measurement invariance. Regression analysis showed that self‐efficacy when implementing inclusive education was explained by the motivation to deal with inclusive education during their studies, previous experience with inclusive education in internships, study interest and the country in which the students went to university.  相似文献   

基于四阶累积量的CSPRIT算法     

沈怡平  侯朝焕  马晓川 《中国科学院研究生院学报》2007,24(3):325-330

分析了基于二阶统计的CSPRIT算法在空间相关高斯噪声环境中存在的问题，提出将四阶累积量与CSPRIT算法相结合，处理一维二元相移键控信号（BPSK）和多元幅移键控信号（MASK），实现信号到达角（DOA）的估计和波束形成器的构造。与基于二阶统计的CSPRIT算法相比，基于四阶累积量的改进算法能够有效抑制空间相关的高斯噪声，提高信号估计精度。计算机仿真验证了该算法的有效性。  相似文献   

一种局部频域分析的多尺度纹理特征提取方法     

徐敏  ;张哲铭  ;周中伟 《鹭江职业大学学报》2014,(5):35-40

在局部二进制模型和多分辨率分析的基础上,提出一种基于局部频域分析的多尺度纹理特征提取方法。对纹理图像采用局部圆形邻域作为局部模板进行局部频率变换,对各频段图像实现多分辨率分析,提取多尺度下的特征向量,结合SVM算法进行分类实验。结果证明,该方法在继承了LBP对光照因素具有的稳定性的同时,具有旋转不变性特征;利用NSCT在多尺度下进行的纹理特征提取也满足尺度不变性的需要,与其他方法相比提高了分类准确率。  相似文献   

Measurement Bias Detection Through Factor Analysis     

Willem E. Saris  Albert Satorra  William M. van der Veld 《Structural equation modeling》2013,20(4):561-582

Assessing the correctness of a structural equation model is essential to avoid drawing incorrect conclusions from empirical research. In the past, the chi-square test was recommended for assessing the correctness of the model but this test has been criticized because of its sensitivity to sample size. As a reaction, an abundance of fit indexes have been developed. The result of these developments is that structural equation modeling packages are now producing a large list of fit measures. One would think that this progression has led to a clear understanding of evaluating models with respect to model misspecifications. In this article we question the validity of approaches for model evaluation based on overall goodness-of-fit indexes. The argument against such usage is that they do not provide an adequate indication of the “size” of the model's misspecification. That is, they vary dramatically with the values of incidental parameters that are unrelated with the misspecification in the model. This is illustrated using simple but fundamental models. As an alternative method of model evaluation, we suggest using the expected parameter change in combination with the modification index (MI) and the power of the MI test.  相似文献   

General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety: The Impact of Untested Invariance Assumptions on Substantive Interpretations     

Alexandre J. S. Morin  Christophe Maïano  Benjamin Nagengast  Herbert W. Marsh  Julien Morizot  Michel Janosz 《Structural equation modeling》2013,20(4):613-648

Substantively, this study investigates potential heterogeneity in the developmental trajectories of anxiety in adolescence. Methodologically, this study demonstrates the usefulness of general growth mixture analysis (GGMA) in addressing these issues and illustrates the impact of untested invariance assumptions on substantive interpretations. This study relied on data from the Montreal Adolescent Depression Development Project (MADDP), a 4-year follow-up of more than 1,000 adolescents who completed the Beck Anxiety Inventory each year. GGMA models relying on different invariance assumptions were empirically compared. Each of these models converged on a 5-class solution, but yielded different substantive results. The model with class-varying variance–covariance matrices was retained as providing a better fit to the data. These results showed that although elevated levels of anxiety might fluctuate over time, they clearly do not represent a transient phenomenon. This model was then validated in relation to multiple predictors (mostly related to school violence) and outcomes (grade-point average, school dropout, depression, loneliness, and drug-related problems).  相似文献   

Testing Measurement Invariance Across Groups in Longitudinal Data: Multigroup Second-Order Latent Growth Model     

Eun Sook Kim  Victor L. Willson 《Structural equation modeling》2013,20(4):566-576

In latent growth modeling, measurement invariance across groups has received little attention. Considering that a group difference is commonly of interest in social science, a Monte Carlo study explored the performance of multigroup second-order latent growth modeling (MSLGM) in testing measurement invariance. True positive and false positive rates in detecting noninvariance across groups in addition to bias estimates of major MSLGM parameters were investigated. Simulation results support the suitability of MSLGM for measurement invariance testing when either forward or iterative likelihood ratio procedure is applied.  相似文献   

Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling     

Yan Wang  Eunsook Kim  John M. Ferron  Robert F. Dedrick  Tony X. Tan  Stephen Stark 《Educational and psychological measurement》2021,81(1):61

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of excluding and misspecifying covariate effects on measurement invariance testing and class enumeration was investigated via Monte Carlo simulations. Data were generated based on FMM models with (1) a zero covariate effect, (2) a covariate effect on the latent class variable, and (3) covariate effects on both the latent class variable and the factor. For each population model, different analysis models that excluded or misspecified covariate effects were fitted. Results highlighted the importance of including proper covariates in measurement invariance testing and evidenced the utility of a model comparison approach in searching for the correct specification of covariate effects and the level of measurement invariance. This approach was demonstrated using an empirical data set. Implications for methodological and applied research are discussed.  相似文献   

Effect of teacher support on students’ math attitudes: Measurement invariance and moderation of students' background characteristics     

《Contemporary educational psychology》2021

We examine the effect of students' perceptions of teacher support on attitudes towards math and whether the association varies between students from historically underrepresented groups in STEM. Participants included high school students enrolled in an AP Statistics course (N = 585, M_age = 16.75 years, SD_age = 0.88). Measurement invariance conducted on the basis of student background characteristics (i.e., biological sex, underrepresented race/ethnicity status, and parental educational attainment) provided evidence of metric invariance or greater. Standardized regression coefficients suggested potential differences, such that for students who were female, from an underrepresented racial/ethnicity group in STEM, or had parents with lower levels of education, the effect of teacher support appeared not as strong compared to their counterparts. However, scaled chi-square difference tests comparing nested latent path models did not suggest a moderation effect of these three characteristics. These findings have implications for understanding barriers many students face in receiving the benefits of teacher support.  相似文献