Historical Dataset of Carlos Rosario International Pcs Harvard Street Campus is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2000-2018),Total Classroom Teachers Trends Over Years (2007-2012),Asian Student Percentage Comparison Over Years (2003-2006),Hispanic Student Percentage Comparison Over Years (2000-2006),Black Student Percentage Comparison Over Years (2000-2006),White Student Percentage Comparison Over Years (2000-2003),Diversity Score Comparison Over Years (2000-2006)

Overview The Student/Teacher Achievement Ratio (STAR) was a four-year longitudinal class-size study funded by the Tennessee General Assembly and conducted by the State Department of Education. Over 7,000 students in 79 schools were randomly assigned into one of three interventions: small class (13 to 17 students per teacher), regular class (22 to 25 students per teacher), and regular-with-aide class (22 to 25 students with a full-time teacher's aide). Classroom teachers were also randomly assigned to the classes they would teach. The interventions were initiated as the students entered school in kindergarten and continued through third grade. In 1996, Health and Education Research Operative Services (HEROS), Incorporated was funded to conduct a tenth grade follow-up study of Project STAR. To be on-schedule during the 1995-1996 school year, Project STAR students would be high school sophomores (10th Grade). The researchers reviewed the Tennessee Competency Examination (TCE) data for the 1993-94, 1994-95, and 1995-96 school years. Schools begin administering the TCE to students in eighth grade and they are required to pas s the TCE prior to graduating from high school. Data were collected for each administration of the TCE to a Project STAR student. A significantly larger percent of small-class students (52.9%) versus students who had attended regular (49.1%) and regular/aide (48.0%) classes passed the TCE Language requirement at grade 8. The same was true for the mathematics requirement, where 36.4% of the small-class students passed versus 32.3% of the regular class and 30.3% of the regular/aide class students. Additional data were collected from Nashville-Davidson County Schools for the school dropout pilot study. Researchers had access to three years of data from this system (1993-94, 1994-95, and 1995-96 school years). When STAR students were not found with their appropriate grade level cohort (grade ten, 1995-96), investigators searched all grades from these years and were able to identify students who were still in the system, but who were appearing at a lower grade level. This rev iew showed that more regular and regular/aide class students than small-class students had been retained in grade levels prior to tenth grade. In the 1993-1994 school year, a significantly higher percentage (12 to 19%) of students in regular and regular/aide classes were in lower grades than their counterparts in small classes (about 8%). This difference grew with time. By the 1995-1996 school year, twice the percentage of students who attended regular or regular/aide classes were found in lower grades than their STAR peers who attended small classes. An academic progress pilot study was conducted by reviewing student records from the 1996-1997 school year where students who remained on-target with their cohort would have been in eleventh grade. Three school systems, Nashville-Davidson County, Pickett County, and Fentress County had agreed to participate in this pilot. Students who attended school in Nashville-Davidson County Schools were analyzed separately from those attending Fentress and Pickett County Schools. When studen t records were not located within the eleventh-grade files, the tenth-grade files (1996-1997) were searched, and if still not located the ninth-grade records were searched (1996-1997). The findings were strong and unambiguous. Nashville-Davidson County students who attended small classes (K-3) consistently made better grades than students in regular and regular/aide classes by the end of the 1994-1995 school year. In English, math, and science, the students in the small classes outscored their counterparts by over 10 points. Since most colleges and universities require foreign language courses, investigators analyzed these data. Significantly more small-class students enrolled in such courses than regular and regular/aide-class students. Approximately 26 percent more small-class students than regular or regular/aide-class students from rural areas were enrolled in foreign language courses. In the inner-city sample, 20 percent more students from the small-class group than the other two class types are enrolled in a foreign language course. This information is especially important because it provides investigators with the first look at the academic "track" of STAR students. Overview Of The Data Files The STAR-and-Beyond database contains raw student- and school-level data from a longitudinal experiment conducted in Tennessee beginning in 1985. The experiment lasted for four years, with a single cohort of students progressing from kindergarten through third grade. Achievement tests and non-achievement measures were administered annually. The experiment ended in 1989. However, student achievement data continued to be collected through high school, and ancillary studies resulted in other non-achievement variables being added to the data set. The primary student-level data file contains...

This dataset tracks annual white student percentage from 2000 to 2003 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

This dataset tracks annual asian student percentage from 2003 to 2006 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

The time series data set contains international homeownership rates (in percent) in the long-run for available benchmark years.

This dataset tracks annual hispanic student percentage from 2000 to 2006 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

This dataset tracks annual black student percentage from 2000 to 2006 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

Existing research shows that economic coercion successfully influences targeted states’ behavior 38 percent of the time. This article integrates research on economic sanctions and foreign aid by assessing the relative effectiveness of two types of economic coercion: economic sanctions and foreign aid suspensions. It argues that suspending aid is more effective than adopting economic sanctions because (1) aid suspensions are economically beneficial for the adopting state, while sanctions are costly, (2) aid suspensions directly affect the targeted government’s budget, (3) market forces undermine sanctions but not aid suspensions, and (4) aid suspensions are less likely to spark adverse behavioral reactions. A quantitative analysis estimates the success rate of imposed aid suspensions to be 44 percent and that of economic sanctions to be 26 percent. The results are robust across two alternative datasets on economic coercion, and qualitative evidence corroborates the outlined mechanisms. The findings suggest that economic sanctions are less effective than previously thought and that large donor states have a higher chance of achieving political goals through economic coercion.

International-relations scholars tend to focus on the formation, design, and effects of international organizations (IOs). However, the vitality of IOs varies tremendously. I argue that IOs end up in one of three situations. They could die off altogether, though this happens infrequently. More commonly, many IOs become “zombies.” They continue to operate, but without any progress toward their mandates. A third category includes IOs that are alive and functioning. I develop a theory to explain an organization's vitality, hinging on the quality of the bureaucracy. In an environment where IOs with similar goals, and with many overlapping members, compete for bureaucrats, the ability of the secretariats to attract talented staff and to enact policy autonomously are associated with whether organizations truly stay active, simply endure, or die off. I demonstrate this proposition using a new measure of the vitality of international economic organizations from 1950 to the present. Around 52 percent of the organizations in the sample are alive and functioning, around 10 percent are essentially dead, and nearly 38 percent are zombies. Using these original data, tests of these propositions support the theory.

If we open a random political science journal, we have a roughly two to one chance that the article is written by a man. Beyond this general finding, we know very little about the gender gaps within political science knowledge production: are women more represented in lower or higher ranked journals? Do they publish more single- or multi-author papers? Do they publish more content in some fields than in others? Analysing an original dataset based on the International Political Science Abstracts from 2022 comprising more than 7000 articles and more than 13,000 authors in political science from around the world, this article provides answers to these questions. We find no difference in the percentage of female authors between more highly ranked and lower-ranked journals. We find a slightly higher propensity among women to publish in teams. When it comes to subfields of study, women are particularly underrepresented in the field of political theory, where women only publish 21.6 percent of all published articles, which is a deviation of roughly 12 percentage points from the overall average.

The Electoral Integrity Project at Harvard University and the University of Sydney (www.electoralintegrityproject.com) developed the AVE data, release 1.0. The dataset contains information from a three-wave panel survey designed to gather the views of a representative sample of ordinary Australians just before and after the 2nd July 2016 Australian federal elections. The survey monitored Australian voters’ experience at the polls, perceptions of the integrity and convenience of the registration and voting process, patterns of civic engagement, public confidence in electoral administration, and attitudes towards reforms, such as civic education campaigns and convenience voting facilities. Respondents were initially contacted in the week before the election between 28 June and 1 July and completed an online questionnaire lasting approximately 15 minutes. This forms the pre-election base line survey (wave 1). The same individuals were contacted again after the election to complete a longer survey, an average of 25 minutes in length. Respondents in wave 2 were contacted between 4 July and 19 July, with two thirds completing the survey after the first week. About six weeks later, the same respondents were interviewed again (wave 3) beginning on 23 August and ending on 13 September. The initial sample contains 2,139 valid responses for the first wave of questionnaires, 1,838 for the second wave (an 86 percent retention rate), and 1,543 for the third wave (84 percent retention rate). Overall, 72 percent of the respondents were carried over from the pre-election wave to the final wave. The following files can be accessed: a) dataset in Stata and SPSS formats; b) codebook; c) questionnaire. The EIP acknowledges support from the Kathleen Fitzpatrick Australian Laureate from the Australian Research Council (ARC ref: FL110100093). **** EIP further publications: BOOKS • LeDuc, Lawrence, Richard Niemi and Pippa Norris. Eds. 2014. Comparing Democracies 4: Elections and Voting in a Changing World. London: Sage Publications. • Nai, Alessandro and Walter, Annemarie. Eds. 2015 New Perspectives on Negative Campaigning: Why Attack Politics Matters. Colchester: ECPR Press. • Norris, Pippa, Richard W. Frank and Ferran Martínez i Coma. Eds. 2014. Advancing Electoral Integrity. New York: Oxford University Press. • Norris, Pippa, Richard W. Frank and Ferran Martínez i Coma. Eds. 2015. Contentious Elections: From Ballots to the Barricades. New York: Routledge. • Norris, Pippa. 2014. Why Electoral Integrity Matters. New York: Cambridge University Press. • Norris, Pippa. 2015. Why Elections Fail. New York: Cambridge University Press. • Norris, Pippa and Andrea Abel van Es. Eds. 2016. Checkbook Elections? Political Finance in Comparative Perspective. Oxford University Press. ARTICLES AND CHAPTERS • W. Frank. 2013. ‘Assessing the quality of elections.’ Journal of Democracy. 24(4): 124-135.• Lago, Ignacio and Martínez i Coma, Ferran. 2016. ‘Challenge or Consent? Understanding Losers’ Reactions in Mass Elections’. Government and Opposition doi:10.1071/gov.3015.31 • Martínez i Coma, Ferran and Lago, Ignacio. 2016. 'Gerrymandering in Comparative Perspective’ Party Politics DOI: 10.1177/1354068816642806 • Norris, Pippa. 2013. ‘Does the world agree about standards of electoral integrity? Evidence for the diffusion of global norms.’ Special issue of Electoral Studies. 32(4):576-588. • Norris, Pippa. 2013. ‘The new research agenda studying electoral integrity’. Special issue of Electoral Studies. 32(4): 563-575.57 • Norris, Pippa. 2014. ‘Electoral integrity and political legitimacy.’ In Comparing Democracies 4. Lawrence LeDuc, Richard Niemi and Pippa Norris. Eds. London: Sage. • Norris, Pippa, Richard W. Frank and Ferran Martínez i Coma. 2014. ‘Measuring electoral integrity: A new dataset.’ PS: Political Science & Politics. 47(4): 789-798. • Norris, Pippa. 2016 (forthcoming). ‘Electoral integrity in East Asia.’ Routledge Handbook on Democratization in East Asia. Tun-jen Cheng and Yun-han Chu. Eds. Routledge: New York. • Norris, Pippa. 2016 (forthcoming). ‘Electoral transitions: Stumbling out of the gate.’ In Rebooting Transitology – Democratization in the 21st Century. Mohammad-Mahmoud Ould Mohamedou and Timothy D. Sisk. Eds. • Pietsch, Juliet; Michael Miller and Jeffrey Karp. 2015. ‘Public support for democracy in transitional regimes.’ Journal of Elections, Public Opinion and Parties. 25(1): 1–9. DOI: 10.1080/17457289.2014. • Smith, Rodney. 2016 (forthcoming). ‘Confidence in paper-based and electronic voting channels: Evidence from Australia.’ Australian Journal of Political Science. ID: 1093091 DOI: 10.1080/10361146.2015.1093091 dx.doi.org/10.1080/07907184.2015.1099097 • Van Ham, Carolien and Staffan Lindberg. 2015. ‘From sticks to carrots: Electoral manipulation in Africa, 1986-2012’, Government and Opposition 50(3): 521 - 548, http://dx.doi.org/10.1017/gov.2015.6 • Van Ham, Carolien and Staffan Lindberg. 2015. ‘When Guardians Matter Most: Exploring the Conditions under Which Electoral Management Body Institutional Design Affects Election Integrity’, Irish Political Studies, 30(4): 454 - 481, http:// dx.doi.org/10.1080/07907184.2015.1099097 • Van Ham, Carolien and Staffan Lindberg. 2015. ‘From sticks to carrots: Electoral manipulation in Africa, 1986-2012’, Government and Opposition 50(3): 521 - 548, http://dx.doi.org/10.1017/gov.2015.6 REPORTS • Grömping, Max and Ferran Martínez i Coma. 2015 ‘Electoral Integrity in Africa’. • Norris, Pippa; Richard W. Frank and Ferran Martínez i Coma. 2014. ‘The Year in Elections, 2013’. • Norris, Pippa; Ferran Martínez i Coma and Max Grömping. 2015. ‘The Year in Elections, 2014’. • Norris, Pippa; Andrea Abel van Es and Lisa Fennis. 2015. ‘Checkbook Elections? Political Finance in Comparative Perspective’. • Several authors. 2015. Secure and Fair Elections (SAFE) Workshop: Model Curriculum. Stockholm: International IDEA.

The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally and by region and country. Calculated each year by the International Food Policy Research Institute (IFPRI), the GHI highlights successes and failures in hunger reduction and provide insights into the drivers of hunger, and food and nutrition security. The 2014 GHI has been calculated for 120 countries for which data on the three component indicators are available and for which measuring hung er is considered most relevant. The GHI calculation excludes some higher income countries because the prevalence of hunger there is very low. The GHI is only as current as the data for its three component indicators. This year's GHI reflects the most recent available country level data for the three component indicators spanning the period 2009 to 2013. Besides the most recent GHI scores, this dataset also contains the GHI scores for four other reference periods- 1990, 1995, 2000, and 2005. A country's GHI score is calculated by averaging the percentage of the population that is undernourished, the percentage of children youn ger than five years old who are underweight, and the percentage of children dying before the age of five. This calculation results in a 100 point scale on which zero is the best score (no hunger) and 100 the worst, although neither of these extremes is reached in practice. The three component indicators used to calculate the GHI scores draw upon data from the following sources: 1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1990, 1995, 2000, 2005, and 2014GHI scores. Undernourishment data for the 2014 GHI are for 2011-2013. 2. Child underweight: The "child underweight" component indicator of the GHI scores includes the latest additions to the World Health Organization's (WHO) Global Database on Child Growth and Malnutrition, and additional data from the joint data base by the United Nations Children's Fund (UNICEF), WHO and the World Bank; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey reports; and statistical tables from UNICEF. For the 2014 GHI, data on child underweight are for the latest year for which data are available in the period 2009-2014. 3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1990, 1995, 2000, and 2005, and 2014 GHI scores. For the 2014 GHI, data on child mortality are for 2012. Resources related to 2014 Global Hunger Index