世界経済・社会統計 = World development indicators

We investigate conditions sufficient for identification of average treatment effects using instrumental variables. First we show that the existence of valid instruments is not sufficient to identify any meaningful average treatment effect. We then establish that the combination of an instrument and a condition on the relation between the instrument and the participation status is sufficient for identification of a local average treatment effect for those who can be induced to change their participation status by changing the value of the instrument. Finally we derive the probability limit of the standard IV estimator under these conditions. It is seen to be a weighted average of local average treatment effects.

Evolution and Rationality Some Recent Game-Theoretic Results. Identification and Estimation of Local Average Treatment Effects

Thank you very much for downloading applied longitudinal data analysis modeling change and event occurrence. As you may know, people have look hundreds times for their favorite novels like this applied longitudinal data analysis modeling change and event occurrence, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their computer.

Applied Longitudinal Data Analysis Modeling Change And Event Occurrence

The American Community College.

Acknowledgments vii Preface xiii Chapter 1. Educational Attainment: Overall Trends, Disparities, and the Public Universities We Study 1 Chapter 2. Bachelor's Degree Attainment on a National Level 20 Chapter 3. Finishing College at Public Universities 32 Chapter 4. Fields of Study, Time-to-Degree, and College Grades 57 Chapter 5. High Schools and "Undermatching" 87 Chapter 6. Test Scores and High School Grades as Predictors 112 Chapter 7. Transfer Students and the Path from Two-Year to Four-Year Colleges 134 Chapter 8. Financial Aid and Pricing on a National Level 149 Chapter 9. Financial Aid at Public Universities 166 Chapter 10. Institutional Selectivity and Institutional Effects 192 Chapter 11. Target Populations 207 Chapter 12. Looking Ahead 223 Appendix A. The Modern Evolution of America's Flagship Universities by Eugene M. Tobin 239 Notes 265 List of Figures 337 List of Tables 347 List of Appendix Tables 349 References 357 Index 377

Crossing the Finish Line:: Completing College at America’s Public Universities (Association for Institutional Research, May 30, 2010)

Using a dataset containing nearly 500,000 courses taken by over 40,000 community and technical college students in Washington State, this study examines the performance gap between online and face-to-face courses and how the size of that gap differs across student subgroups and academic subject areas. While all types of students in the study suffered decrements in performance in online courses, those with the strongest declines were males, younger students, Black students, and students with lower grade point averages. Online performance gaps were also wider in some academic subject areas than others. After controlling for individual and peer effects, the social sciences and the applied professions (e.g., business, law, and nursing) showed the strongest online performance gaps.

Performance Gaps Between Online and Face-to-Face Courses: Differences Across Types of Students and Academic Subject Areas

Given the rapid growth in online coursework within higher education, it is important to establish and validate quality standards for these courses. While many online learning quality rubrics do exist, thus far there has been little empirical evidence establishing a clear link between specific course design features and concrete, student-level course outcomes. In the current study, the authors develop an online course design assessment rubric that includes four areas, and explore the impact of each area on student end-of-semester performance in 23 online courses at two community colleges. The results indicate that the quality of interpersonal interaction within a course relates positively and significantly to student grades. Additional analyses based on course observation and interview data suggest that frequent and effective student-instructor interaction creates an online environment that encourages students to commit themselves to the course and perform at a stronger academic level. A new online design assessment rubric is developed.The relationship between four online course design features and student course grades is examined.Quality of online interpersonal interaction relates positively to student grades.Typical practices of online courses with high- versus low-quality interpersonal interaction are showcased.Potential strategies to improve online learning outcomes are discussed.

/pdf/how-do-online-course-design-features-influence-student-35pp88bcye.pdf

How do online course design features influence student performance

The impact of online learning on students’ course outcomes: Evidence from a large community and technical college system

Although online learning is rapidly expanding in the community college setting, there is little evidence regarding its effectiveness among community college students. In the current study, the auth...

https://www.jstor.org/stable/pdfplus/41238556.pdf

The Effectiveness of Distance Education across Virginia's Community Colleges: Evidence from Introductory College-Level Math and English Courses:

Using a dataset containing nearly 500,000 courses taken by over 40,000 community and technical college students in Washington State, this study examines how well students adapt to the online environment in terms of their ability to persist and earn strong grades in online courses relative to their ability to do so in face-to-face courses. While all types of students in the study suffered decrements in performance in online courses, some struggled more than others to adapt: males, younger students, Black students, and students with lower grade point averages. In particular, students struggled in subject areas such as English and social science, which was due in part to negative peer effects in these online courses.

/pdf/adaptability-to-online-learning-differences-across-types-of-55ctxand07.pdf

Di Xu

Papers

Performance Gaps Between Online and Face-to-Face Courses: Differences Across Types of Students and Academic Subject Areas

How do online course design features influence student performance

The impact of online learning on students’ course outcomes: Evidence from a large community and technical college system

The Effectiveness of Distance Education across Virginia's Community Colleges: Evidence from Introductory College-Level Math and English Courses:

Adaptability to Online Learning: Differences across Types of Students and Academic Subject Areas. CCRC Working Paper No. 54.