PS: Political Science & Politics

PS: Political Science & Politics provides critical analyses of contemporary political phenomena and is the journal of record for the discipline of political science reporting on research, teaching, and professional development. PS, begun in 1968, is the only quarterly professional news and commentary journal in the field and is the prime source of information on political scientists' achievements and professional concerns.

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211 to 220 of 274 Results

Replication Data for: Editor Fatigue: Can Political Science Journals Increase Review Invitation Acceptance Rates? May 14, 2021 Lucas, Jack, 2021, "Replication Data for: Editor Fatigue: Can Political Science Journals Increase Review Invitation Acceptance Rates?", https://doi.org/10.7910/DVN/DGQ73Y, Harvard Dataverse, V1, UNF:6:otZmh3B6Nb5vhvsjQ5AOjA== [fileUNF] In many political science journals, fewer than half of invitations sent to potential reviewers are accepted. These low acceptance rates increase workloads for editors and lengthen the review process for authors. In this article, we report analyses of reviewer invitation acceptance at the Canadian Journal of Political Science between 2017-2020. We f...
Replication Data for Politically Invisible in America Apr 22, 2021 Spahn, Bradley, 2021, "Replication Data for Politically Invisible in America", https://doi.org/10.7910/DVN/PUYM1K, Harvard Dataverse, V2, UNF:6:6U2qxDg1PUHAU2lgOCUn0g== [fileUNF] Replication Data for Jackman & Spahn's PS article, Politically Invisible in America
Replication Data for: Disbanding the Old Boys’ Club Apr 14, 2021 - Harvard Dataverse Stapleton, Patricia; Michelson, Melissa, 2021, "Replication Data for: Disbanding the Old Boys’ Club", https://doi.org/10.7910/DVN/ULPXR1, Harvard Dataverse, V1, UNF:6:wDqu+SDYTLKs9v9JUC6ZaQ== [fileUNF] As the #MeToo movement gained momentum in 2018, a collective formed among political scientists to examine the discipline's issues with the same lens. This #MeTooPoliSci collective, together with the American Political Science Association (APSA), distributed a survey to APSA members that asked respondents to identify obstacles that hinder the succes...
Replication Data for: Leveling the Field: Gender Inequity in Academia During COVID Apr 12, 2021 Shalaby, Marwa; Allam, Nermin; Buttorff, Gail J., 2021, "Replication Data for: Leveling the Field: Gender Inequity in Academia During COVID", https://doi.org/10.7910/DVN/YRSZNE, Harvard Dataverse, V1, UNF:6:3AcqbjKeycN7NUKquJfheA== [fileUNF] Replication files for "Leveling the Field: Gender Inequity in Academia During COVID," both main text and appendix. Data are from an online survey of academics' research productivity during the early months of the pandemic conducted between June 25 and July 28, 2020.
Replication Data for: Toward Better Hiring Practices Apr 6, 2021 Carlson, Elizabeth; Zorn, Christopher, 2021, "Replication Data for: Toward Better Hiring Practices", https://doi.org/10.7910/DVN/21CU9M, Harvard Dataverse, V1, UNF:6:QIc5iDJLVTaXbVIk/xY29w== [fileUNF] Replication files are also available at https://github.com/PrisonRodeo/TBHP-git.
Political Professors and the Perception of Bias in the College Classroom Apr 6, 2021 - Harvard Dataverse Liebertz, Scott, 2021, "Political Professors and the Perception of Bias in the College Classroom", https://doi.org/10.7910/DVN/LLI8HS, Harvard Dataverse, V1, UNF:6:tGj09advXcxVS+EYQWTxHw== [fileUNF] This data set comes from surveys of college students at the University of South Alabama and the University of North Carolina-Charlotte in the Spring of 2020. Students participated in a survey experiment designed to gauge their preferences for professors in terms of their use of politics in the classroom.
Replication Data for: Mechanical Turk and the "Don't Know" Option Mar 23, 2021 Pope, Jeremy, 2021, "Replication Data for: Mechanical Turk and the "Don't Know" Option", https://doi.org/10.7910/DVN/KAPQWT, Harvard Dataverse, V1, UNF:6:YHNWgA0cVTmOWcLAQt58iA== [fileUNF] Luskin and Bullock’s (2011) randomized experiment on live-interview respondents found no evidence that ANES or TESS respondents hide knowledge behind the “don’t know” option (DK). We successfully replicate their finding using two online platforms, the Cooperative Congressional Election Study (CCES) and Google Surveys (GS). However, we obtain differ...
Replication Data for: Dalton and Putnam: Teaching Political Polarization to Generation Z Students Mar 22, 2021 - Harvard Dataverse McBeth, Mark, 2021, "Replication Data for: Dalton and Putnam: Teaching Political Polarization to Generation Z Students", https://doi.org/10.7910/DVN/0WRY9Q, Harvard Dataverse, V1, UNF:6:exh2VrqXUi89iooDzVccCw== [fileUNF] Abstract Political polarization and generational politics are important topics in contemporary political science classrooms. This article presents an approach to teaching political polarization in an Introduction to Politics course. Co-authored by two Generation Z students from the course and their Boomer generation professor, the article provides...
Replication Data for: Pay to Play? How Reducing APSA Division Fees Increases Graduate Student Participation Feb 26, 2021 Fairbanks, Bailey R.; Neuner, Fabian G.; Perera, Isabel M.; Slaughter, Christine M., 2021, "Replication Data for: Pay to Play? How Reducing APSA Division Fees Increases Graduate Student Participation", https://doi.org/10.7910/DVN/X0NO0K, Harvard Dataverse, V1, UNF:6:YpSBAsQlwgLmjtDRN+9FQw== [fileUNF] In 2017, the APSA Committee on the Status of Graduate Students in the Profession launched an initiative to lower the cost of Division (organized section) membership for students in order to promote graduate students’ professional development and advance Division interests. This article assesses the effect of this intervention on Division membership...
Replication Data for: Research Career Paths Among Political Scientists in Teaching Institutions Feb 22, 2021 Hill, Kim, 2021, "Replication Data for: Research Career Paths Among Political Scientists in Teaching Institutions", https://doi.org/10.7910/DVN/VCFQDZ, Harvard Dataverse, V1, UNF:6:RE+0C1qdSFvErKolA7G3zQ== [fileUNF] Considerable work assesses research productivity in political science. Yet the latter work has not explicated how research careers can differ across time and individuals, nor has it considered such careers in teaching institutions in particular. I present an empirically validated research career path typology for political scientists who began thei...

Replication Data for: Editor Fatigue: Can Political Science Journals Increase Review Invitation Acceptance Rates?

May 14, 2021

Lucas, Jack, 2021, "Replication Data for: Editor Fatigue: Can Political Science Journals Increase Review Invitation Acceptance Rates?", https://doi.org/10.7910/DVN/DGQ73Y, Harvard Dataverse, V1, UNF:6:otZmh3B6Nb5vhvsjQ5AOjA== [fileUNF]

In many political science journals, fewer than half of invitations sent to potential reviewers are accepted. These low acceptance rates increase workloads for editors and lengthen the review process for authors. In this article, we report analyses of reviewer invitation acceptance at the Canadian Journal of Political Science between 2017-2020. We f...

Replication Data for Politically Invisible in America

Apr 22, 2021

Spahn, Bradley, 2021, "Replication Data for Politically Invisible in America", https://doi.org/10.7910/DVN/PUYM1K, Harvard Dataverse, V2, UNF:6:6U2qxDg1PUHAU2lgOCUn0g== [fileUNF]

Replication Data for Jackman & Spahn's PS article, Politically Invisible in America

Replication Data for: Disbanding the Old Boys’ Club

Apr 14, 2021 - Harvard Dataverse

Stapleton, Patricia; Michelson, Melissa, 2021, "Replication Data for: Disbanding the Old Boys’ Club", https://doi.org/10.7910/DVN/ULPXR1, Harvard Dataverse, V1, UNF:6:wDqu+SDYTLKs9v9JUC6ZaQ== [fileUNF]

As the #MeToo movement gained momentum in 2018, a collective formed among political scientists to examine the discipline's issues with the same lens. This #MeTooPoliSci collective, together with the American Political Science Association (APSA), distributed a survey to APSA members that asked respondents to identify obstacles that hinder the succes...

Replication Data for: Leveling the Field: Gender Inequity in Academia During COVID

Apr 12, 2021

Shalaby, Marwa; Allam, Nermin; Buttorff, Gail J., 2021, "Replication Data for: Leveling the Field: Gender Inequity in Academia During COVID", https://doi.org/10.7910/DVN/YRSZNE, Harvard Dataverse, V1, UNF:6:3AcqbjKeycN7NUKquJfheA== [fileUNF]

Replication files for "Leveling the Field: Gender Inequity in Academia During COVID," both main text and appendix. Data are from an online survey of academics' research productivity during the early months of the pandemic conducted between June 25 and July 28, 2020.

Replication Data for: Toward Better Hiring Practices

Apr 6, 2021

Carlson, Elizabeth; Zorn, Christopher, 2021, "Replication Data for: Toward Better Hiring Practices", https://doi.org/10.7910/DVN/21CU9M, Harvard Dataverse, V1, UNF:6:QIc5iDJLVTaXbVIk/xY29w== [fileUNF]

Replication files are also available at https://github.com/PrisonRodeo/TBHP-git.

Political Professors and the Perception of Bias in the College Classroom

Apr 6, 2021 - Harvard Dataverse

Liebertz, Scott, 2021, "Political Professors and the Perception of Bias in the College Classroom", https://doi.org/10.7910/DVN/LLI8HS, Harvard Dataverse, V1, UNF:6:tGj09advXcxVS+EYQWTxHw== [fileUNF]

This data set comes from surveys of college students at the University of South Alabama and the University of North Carolina-Charlotte in the Spring of 2020. Students participated in a survey experiment designed to gauge their preferences for professors in terms of their use of politics in the classroom.

Replication Data for: Mechanical Turk and the "Don't Know" Option

Mar 23, 2021

Pope, Jeremy, 2021, "Replication Data for: Mechanical Turk and the "Don't Know" Option", https://doi.org/10.7910/DVN/KAPQWT, Harvard Dataverse, V1, UNF:6:YHNWgA0cVTmOWcLAQt58iA== [fileUNF]

Luskin and Bullock’s (2011) randomized experiment on live-interview respondents found no evidence that ANES or TESS respondents hide knowledge behind the “don’t know” option (DK). We successfully replicate their finding using two online platforms, the Cooperative Congressional Election Study (CCES) and Google Surveys (GS). However, we obtain differ...

Replication Data for: Dalton and Putnam: Teaching Political Polarization to Generation Z Students

Mar 22, 2021 - Harvard Dataverse

McBeth, Mark, 2021, "Replication Data for: Dalton and Putnam: Teaching Political Polarization to Generation Z Students", https://doi.org/10.7910/DVN/0WRY9Q, Harvard Dataverse, V1, UNF:6:exh2VrqXUi89iooDzVccCw== [fileUNF]

Abstract Political polarization and generational politics are important topics in contemporary political science classrooms. This article presents an approach to teaching political polarization in an Introduction to Politics course. Co-authored by two Generation Z students from the course and their Boomer generation professor, the article provides...

Replication Data for: Pay to Play? How Reducing APSA Division Fees Increases Graduate Student Participation

Feb 26, 2021

Fairbanks, Bailey R.; Neuner, Fabian G.; Perera, Isabel M.; Slaughter, Christine M., 2021, "Replication Data for: Pay to Play? How Reducing APSA Division Fees Increases Graduate Student Participation", https://doi.org/10.7910/DVN/X0NO0K, Harvard Dataverse, V1, UNF:6:YpSBAsQlwgLmjtDRN+9FQw== [fileUNF]

In 2017, the APSA Committee on the Status of Graduate Students in the Profession launched an initiative to lower the cost of Division (organized section) membership for students in order to promote graduate students’ professional development and advance Division interests. This article assesses the effect of this intervention on Division membership...

Replication Data for: Research Career Paths Among Political Scientists in Teaching Institutions

Feb 22, 2021

Hill, Kim, 2021, "Replication Data for: Research Career Paths Among Political Scientists in Teaching Institutions", https://doi.org/10.7910/DVN/VCFQDZ, Harvard Dataverse, V1, UNF:6:RE+0C1qdSFvErKolA7G3zQ== [fileUNF]

Considerable work assesses research productivity in political science. Yet the latter work has not explicated how research careers can differ across time and individuals, nor has it considered such careers in teaching institutions in particular. I present an empirically validated research career path typology for political scientists who began thei...

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