scholarly journals No Excuses Charter Schools: A Meta-Analysis of the Experimental Evidence on Student Achievement

2015 ◽  
Author(s):  
Albert Cheng ◽  
Collin Hitt ◽  
Brian Kisida ◽  
Jonathan N. Mills
Keyword(s):  
Student Achievement ◽  
Charter Schools ◽  
Experimental Evidence ◽  
Meta Analysis

scholarly journals “No Excuses” Charter Schools: A Meta-Analysis of the Experimental Evidence on Student Achievement

2017 ◽  
Vol 11 (2) ◽  
pp. 209-238 ◽  
Author(s):  
Albert Cheng ◽  
Collin Hitt ◽  
Brian Kisida ◽  
Jonathan N. Mills
Keyword(s):  
Student Achievement ◽  
Charter Schools ◽  
Experimental Evidence ◽  
Meta Analysis

scholarly journals Well done (for someone of your gender)! Experimental evidence of teachers’ stereotype-based shifting standards for test grading and elaborated feedback

2021 ◽  
Author(s):  
Carolin Schuster ◽  
Susanne Narciss ◽  
Jessica Bilz
Keyword(s):  
Experimental Evidence ◽  
Gender Bias ◽  
Female Subject ◽  
Meta Analysis ◽  
Written Feedback ◽  
Shifting Standards ◽  
Moderating Role

AbstractIn three experiments (Ns = 327/137/210), we investigated whether test grades and elaborated feedback in a stereotypically male (Math) and a stereotypically female subject (German) are biased by the student’s gender. For this purpose, pre-service teachers graded and provided written feedback on tests which were allegedly from boys or girls. In addition, participants’ belief in stereotypes was measured in Study 1 and 2 and manipulated in Study 3 to test its moderating role. A meta-analysis across the three studies confirmed the following pattern: a small to moderate stereotype-contrasting grading bias, if the evaluators endorsed stereotypes, but no bias if they did not. Tests from the gender that, according to the stereotype, is weaker in the domain, were graded better. Study 1 and 3 further showed that the supposedly weaker gender received more elaborated feedback. The results are discussed in terms of shifting standards and previous findings in gender bias in school.

Do charter schools alleviate the negative effect of teacher turnover?

2018 ◽  
Vol 33 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Karlerik Naslund ◽  
Branco Ponomariov
Keyword(s):  
Student Achievement ◽  
Public Schools ◽  
School Districts ◽  
Charter Schools ◽  
Teacher Turnover ◽  
Public School Districts ◽  
Theory And Practice ◽  
Labor Practices ◽  
Negative Effect ◽  
Using Data

Using data on charter and public school districts in Texas, we test the hypothesis that the labor practices in charter schools, in particular their ability to easily dismiss poorly performing teachers, diminishes the negative effect of teacher turnover on student achievement and graduation rates in comparison to public schools. We find some support for this hypothesis, and discuss implications for theory and practice.

Test Frequency, Stakes, and Feedback in Student Achievement: A Meta-Analysis

2019 ◽  
Vol 43 (3-4) ◽  
pp. 111-151 ◽  
Author(s):  
Richard P. Phelps
Keyword(s):  
Student Achievement ◽  
Early Childhood ◽  
Effect Size ◽  
English Language ◽  
Variance Estimation ◽  
Meta Analysis ◽  
The United States ◽  
Research Literature ◽  
Effect Sizes ◽  
Test Frequency

Background: Test frequency, stakes associated with educational tests, and feedback from test results have been identified in the research literature as relevant factors in student achievement. Objectives: Summarize the separate and joint contribution to student achievement of these three treatments and their interactions via multivariable meta-analytic techniques using a database of English-language studies spanning a century (1910–2010), comprising 149 studies and 509 effect size estimates. Research design: Analysis employed robust variance estimation. Considered as potential moderators were hundreds of study features comprising various test designs and test administration, demographic, and source document characteristics. Subjects: Subjects were students at all levels, from early childhood to adult, mostly from the United States but also eight other countries. Results: We find a summary effect size of 0.84 for the three treatments collectively. Further analysis suggests benefits accrue to the incremental addition of combinations of testing and feedback or stakes and feedback. Moderator analysis shows higher effect sizes associated with the following study characteristics: more recent year of publication, summative (rather than formative) testing, constructed (rather than selected) item response formats, alignment of subject matter between pre- and posttests, and recognition/recall (rather than core subjects, art, or physical education). Conversely, lower effect sizes are associated with postsecondary students (rather than early childhood–upper secondary), special education population, larger study population, random assignment (rather than another sampling method), use of shadow test as outcome measure, designation of individuals (rather than groups) as units of analysis, and academic (rather than corporate or government) research.

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