scholarly journals Crossed Random-Effect Modeling: Examining the Effects of Teacher Experience and Rubric Use in Performance Assessments

2014 ◽  
Vol 14 (57) ◽  
Author(s):  
Adnan KAN ◽  
Okan BULUT
Keyword(s):  
Random Effect ◽  
Performance Assessments ◽  
Teacher Experience ◽  
Random Effect Modeling

scholarly journals The Impact of Ignoring a Crossed Factor in Cross-Classified Multilevel Modeling

2021 ◽  
Vol 12 ◽  
Author(s):  
Soyoung Kim ◽  
Yoonhwa Jeong ◽  
Sehee Hong
Keyword(s):  
Random Effects ◽  
Hierarchical Linear Modeling ◽  
Fixed Effects ◽  
Random Effect ◽  
Information Criteria ◽  
Linear Modeling ◽  
Random Effect Modeling ◽  
Error Bias ◽  
The Impact ◽  
Level 2

The present study investigated estimate biases in cross-classified random effect modeling (CCREM) and hierarchical linear modeling (HLM) when ignoring a crossed factor in CCREM considering the impact of the feeder and the magnitude of coefficients. There were six simulation factors: the magnitude of coefficient, the correlation between the level 2 residuals, the number of groups, the average number of individuals sampled from each group, the intra-unit correlation coefficient, and the number of feeders. The targeted interests of the coefficients were four fixed effects and two random effects. The results showed that ignoring a crossed factor in cross-classified data causes a parameter bias for the random effects of level 2 predictors and a standard error bias for the fixed effects of intercepts, level 1 predictors, and level 2 predictors. Bayesian information criteria generally outperformed Akaike information criteria in detecting the correct model.

scholarly journals Characteristics of PSA Bounce after Radiotherapy for Prostate Cancer: A Meta-Analysis

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2180
Author(s):  
Narisa Dewi Maulany Darwis ◽  
Takahiro Oike ◽  
Nobuteru Kubo ◽  
Soehartati A Gondhowiardjo ◽  
Tatsuya Ohno
Keyword(s):  
Prostate Cancer ◽  
Meta Analysis ◽  
Random Effect ◽  
Specific Antigen ◽  
Risk Classification ◽  
Occurrence Rate ◽  
Psa Bounce ◽  
Random Effect Modeling ◽  
Meta Regression ◽  
Meta Regression Analysis

The rate and characteristics of prostate-specific antigen (PSA) bounce post-radiotherapy remain unclear. To address this issue, we performed a meta-analysis. Reports of PSA bounce post-radiotherapy with a cutoff of 0.2 ng/mL were searched by using Medline and Web of Science. The primary endpoint was the occurrence rate, and the secondary endpoints were bounce characteristics such as amplitude, time to occurrence, nadir value, and time to nadir. Radiotherapy modality, age, risk classification, androgen deprivation therapy, and the follow-up period were extracted as clinical variables. Meta-analysis and univariate meta-regression were performed with random-effect modeling. Among 290 search-positive studies, 50 reports including 26,258 patients were identified. The rate of bounce was 31%; amplitude was 1.3 ng/mL; time to occurrence was 18 months; nadir value was 0.5 ng/mL; time to nadir was 33 months. Univariate meta-regression analysis showed that radiotherapy modality (29.7%), age (20.2%), and risk classification (12.2%) were the major causes of heterogeneity in the rate of bounce. This is the first meta-analysis of PSA bounce post-radiotherapy. The results are useful for post-radiotherapy surveillance of prostate cancer patients.

ACT Research Report Series: Reliability Issues With Performance Assessments: A Collection of Papers

1997 ◽  
Author(s):  
Dean A. Colton ◽  
Xiaohong Gao ◽  
Deborah J. Harris ◽  
Michael J. Kolen ◽  
Dara Martinovich-Barhite ◽  
...  
Keyword(s):  
Performance Assessments ◽  
Research Report

Qualitative Research on Critical Issues In Halal Logistics

2013 ◽  
Vol 1 (2) ◽  
pp. 131 ◽  
Author(s):  
Mohamed Syazwan Ab Talib ◽  
Lim Rubin ◽  
Vincent Khor Zhengyi
Keyword(s):  
Capital Structure ◽  
Agency Theory ◽  
Random Effect ◽  
Random Effect Model ◽  
Order Theory ◽  
Specific Factor ◽  
Pecking Order ◽  
Pecking Order Theory ◽  
Corporate Financing ◽  
Financing Decision

This is a preliminary study developed to explore the determinants of capital structure of Shariah-compliant firms listed in Bursa Malaysia. This study is primarily motivated by the issue of the determinants still being inconclusive in the area of capital structure. The study is performed using the static models namely Pool Ordinary Least Square, Fixed Effect and Random Effect Model. Empirical analysis on the determinants reveals that country specific factor which is GDP and sector specific factor which is industry concentration are also significant in influencing the corporate financing decisions in this country along with firm specific factors such as efficiency, bankruptcy risk, profitability, tangibility, liquidity and size of the firm. The findings revealed that results are sensitive to models employed in the study. Nevertheless, the applicability of capital structure theories such as the trade-off theory, agency theory and pecking order theory diverge across sectors in Malaysia. The pecking order theory and agency theory are found to be the dominant theories governing the corporate financing decision in the country as well. It indicates strong evidence of hierarchy practised in firms’ financing decision. The finding on agency theory being dominant justifies the function of short-term debt as a controlling mechanism to mitigate the agency problem arises within firms across sectors. 

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