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Publication Year: 2022

18,901 to 18,910 of 18,984 Results

Replication Data for: Varieties of ambiguity: How do voters evaluate ambiguous policy statements? Jan 7, 2022 - Comparative Political Studies Dataverse Nasr, Mohamed, 2022, "Replication Data for: Varieties of ambiguity: How do voters evaluate ambiguous policy statements?", https://doi.org/10.7910/DVN/1RFKDZ, Harvard Dataverse, V2, UNF:6:294R28mbyxl7p4nGvWlwkA== [fileUNF] Scholars voice increasing interest in strategic ambiguity - a strategy through which parties intentionally conceal their positions on divisive issues. Scholars contend that strategic ambiguity can help European parties broaden their electoral appeals. Although they identify several tactics and styles of position-blurring, observational literature h...
Replication Data for: Incentives for Non-participation: Absence in the United Kingdom House of Commons, 1997-2015 Jan 7, 2022 Fazekas, Zoltan, 2022, "Replication Data for: Incentives for Non-participation: Absence in the United Kingdom House of Commons, 1997-2015", https://doi.org/10.7910/DVN/YTVLGS, Harvard Dataverse, V1 Replication data and code for Incentives for Non-participation: Absence in the United Kingdom House of Commons, 1997-2015 (Public Choice).
How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures Jan 7, 2022 Cheng, Ruijia; Dasgupta, Sayamindu; Hill, Benjamin Mako, 2022, "How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures", https://doi.org/10.7910/DVN/2TRZ9N, Harvard Dataverse, V1 Code and data used for the paper "How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures"
Replication Data for: "Parliamentary Communication Allowances: Good for Nothing?" Jan 7, 2022 Umit, Resul, 2022, "Replication Data for: "Parliamentary Communication Allowances: Good for Nothing?"", https://doi.org/10.7910/DVN/BISNRK, Harvard Dataverse, V1 This repository contains the script files for the analysis reported in Umit, R. (2021). Parliamentary communication allowances: Good for nothing?. Political Studies Review, 19(3), 492-500. Available at https://doi.org/10.1177/1478929920967588.
FLEX_SBSRS_2022 Jan 6, 2022 mou, shandong, 2022, "FLEX_SBSRS_2022", https://doi.org/10.7910/DVN/JRXMEP, Harvard Dataverse, V1 Data and code for FLEX_SBSRS_2022
Plot level panel data on cost of cultivation for rice Jan 6, 2022 KV, Praveen; Alka Singh, 2022, "Plot level panel data on cost of cultivation for rice", https://doi.org/10.7910/DVN/QSAB7T, Harvard Dataverse, V1, UNF:6:2cKlsgO/PpzACnShwk/P/g== [fileUNF] The dataset provides details on quantity and cost of chemical fertilizer use in agriculture in 10 major rice cultivating states of India. The 3 year panel data is developed from the plot level cost of cultivation data provided by the Directorate of Economics and Statistics, Government of India.
AECOPD - Air pollutants data Jan 6, 2022 - Acoal Liu Dataverse Liu, Acoal, 2022, "AECOPD - Air pollutants data", https://doi.org/10.7910/DVN/QLAJIF, Harvard Dataverse, V1, UNF:6:wyh9nnl9UHUK+ATpxTXBVQ== [fileUNF] The dataset includes all admission cases aged 15 or over diagnosed with AECOPD in 155 local medical institutions of Qingyang, China between January 1, 2015 and June 26, 2016. The air pollutants data, as well as meteorological data for the same period is also included.
Replication Data for: "Disparate air pollution reductions during California’s COVID-19 economic shutdown" Jan 6, 2022 - Burney Research Group Dataverse Burney, Jennifer, 2022, "Replication Data for: "Disparate air pollution reductions during California’s COVID-19 economic shutdown"", https://doi.org/10.7910/DVN/ZXVB7A, Harvard Dataverse, V1, UNF:6:ks4UG+r4oKz6PCwSCCf11A== [fileUNF] Replication data for paper "Disparate air pollution reductions during California’s COVID-19 economic shutdown," Nature Sustainability (2022). To be used in conjunction with code in project repository (https://github.com/jaburney/CA-COVIDEJ-2022).
Impact Evaluation of C’est La Vie! in Rural Senegal: Baseline Survey Jan 6, 2022 - IFPRI Dataverse International Food Policy Research Institute (IFPRI), 2022, "Impact Evaluation of C’est La Vie! in Rural Senegal: Baseline Survey", https://doi.org/10.7910/DVN/L9BDWJ, Harvard Dataverse, V1, UNF:6:61bPR+6ZB4gCI/guUqYGWg== [fileUNF] C’est la Vie! is an education edutainment TV series developed and produced by the Réseau Africain pour l’Education à la Santé (RAES), a Senegalese non-governmental organization with support from UN partners. C’est la vie! is specifically designed to address issues related to adolescents’ and women’s rights – including gender-based violence, sexual...
Programme de Filets Sociaux Jigisemejiri: Baseline Survey Jan 6, 2022 - IFPRI Dataverse International Food Policy Research Institute (IFPRI), 2022, "Programme de Filets Sociaux Jigisemejiri: Baseline Survey", https://doi.org/10.7910/DVN/YARWM5, Harvard Dataverse, V1, UNF:6:WUt7F9YPoGBKrUeMUa3vFw== [fileUNF] In 2014 the Government of Mali began implementing its “Filets Sociaux (Jigisémèjiri)” program that aims at reducing poverty and improving human capital accumulation through targeted cash transfers, accompanying measures (or trainings), and preventive nutrition packages. In order to rigorously and independently assess the impacts of the program, the...

Replication Data for: Varieties of ambiguity: How do voters evaluate ambiguous policy statements?

Jan 7, 2022 - Comparative Political Studies Dataverse

Nasr, Mohamed, 2022, "Replication Data for: Varieties of ambiguity: How do voters evaluate ambiguous policy statements?", https://doi.org/10.7910/DVN/1RFKDZ, Harvard Dataverse, V2, UNF:6:294R28mbyxl7p4nGvWlwkA== [fileUNF]

Scholars voice increasing interest in strategic ambiguity - a strategy through which parties intentionally conceal their positions on divisive issues. Scholars contend that strategic ambiguity can help European parties broaden their electoral appeals. Although they identify several tactics and styles of position-blurring, observational literature h...

Replication Data for: Incentives for Non-participation: Absence in the United Kingdom House of Commons, 1997-2015

Jan 7, 2022

Fazekas, Zoltan, 2022, "Replication Data for: Incentives for Non-participation: Absence in the United Kingdom House of Commons, 1997-2015", https://doi.org/10.7910/DVN/YTVLGS, Harvard Dataverse, V1

Replication data and code for Incentives for Non-participation: Absence in the United Kingdom House of Commons, 1997-2015 (Public Choice).

How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures

Jan 7, 2022

Cheng, Ruijia; Dasgupta, Sayamindu; Hill, Benjamin Mako, 2022, "How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures", https://doi.org/10.7910/DVN/2TRZ9N, Harvard Dataverse, V1

Code and data used for the paper "How Interest-Driven Content Creation Shapes Opportunities for Informal Learning in Scratch: A Case Study on Novices’ Use of Data Structures"

Replication Data for: "Parliamentary Communication Allowances: Good for Nothing?"

Jan 7, 2022

Umit, Resul, 2022, "Replication Data for: "Parliamentary Communication Allowances: Good for Nothing?"", https://doi.org/10.7910/DVN/BISNRK, Harvard Dataverse, V1

This repository contains the script files for the analysis reported in Umit, R. (2021). Parliamentary communication allowances: Good for nothing?. Political Studies Review, 19(3), 492-500. Available at https://doi.org/10.1177/1478929920967588.

FLEX_SBSRS_2022

Jan 6, 2022

mou, shandong, 2022, "FLEX_SBSRS_2022", https://doi.org/10.7910/DVN/JRXMEP, Harvard Dataverse, V1

Data and code for FLEX_SBSRS_2022

Plot level panel data on cost of cultivation for rice

Jan 6, 2022

KV, Praveen; Alka Singh, 2022, "Plot level panel data on cost of cultivation for rice", https://doi.org/10.7910/DVN/QSAB7T, Harvard Dataverse, V1, UNF:6:2cKlsgO/PpzACnShwk/P/g== [fileUNF]

The dataset provides details on quantity and cost of chemical fertilizer use in agriculture in 10 major rice cultivating states of India. The 3 year panel data is developed from the plot level cost of cultivation data provided by the Directorate of Economics and Statistics, Government of India.

AECOPD - Air pollutants data

Jan 6, 2022 - Acoal Liu Dataverse

Liu, Acoal, 2022, "AECOPD - Air pollutants data", https://doi.org/10.7910/DVN/QLAJIF, Harvard Dataverse, V1, UNF:6:wyh9nnl9UHUK+ATpxTXBVQ== [fileUNF]

The dataset includes all admission cases aged 15 or over diagnosed with AECOPD in 155 local medical institutions of Qingyang, China between January 1, 2015 and June 26, 2016. The air pollutants data, as well as meteorological data for the same period is also included.

Replication Data for: "Disparate air pollution reductions during California’s COVID-19 economic shutdown"

Jan 6, 2022 - Burney Research Group Dataverse

Burney, Jennifer, 2022, "Replication Data for: "Disparate air pollution reductions during California’s COVID-19 economic shutdown"", https://doi.org/10.7910/DVN/ZXVB7A, Harvard Dataverse, V1, UNF:6:ks4UG+r4oKz6PCwSCCf11A== [fileUNF]

Replication data for paper "Disparate air pollution reductions during California’s COVID-19 economic shutdown," Nature Sustainability (2022). To be used in conjunction with code in project repository (https://github.com/jaburney/CA-COVIDEJ-2022).

Impact Evaluation of C’est La Vie! in Rural Senegal: Baseline Survey

Jan 6, 2022 - IFPRI Dataverse

International Food Policy Research Institute (IFPRI), 2022, "Impact Evaluation of C’est La Vie! in Rural Senegal: Baseline Survey", https://doi.org/10.7910/DVN/L9BDWJ, Harvard Dataverse, V1, UNF:6:61bPR+6ZB4gCI/guUqYGWg== [fileUNF]

C’est la Vie! is an education edutainment TV series developed and produced by the Réseau Africain pour l’Education à la Santé (RAES), a Senegalese non-governmental organization with support from UN partners. C’est la vie! is specifically designed to address issues related to adolescents’ and women’s rights – including gender-based violence, sexual...

Programme de Filets Sociaux Jigisemejiri: Baseline Survey

Jan 6, 2022 - IFPRI Dataverse

International Food Policy Research Institute (IFPRI), 2022, "Programme de Filets Sociaux Jigisemejiri: Baseline Survey", https://doi.org/10.7910/DVN/YARWM5, Harvard Dataverse, V1, UNF:6:WUt7F9YPoGBKrUeMUa3vFw== [fileUNF]

In 2014 the Government of Mali began implementing its “Filets Sociaux (Jigisémèjiri)” program that aims at reducing poverty and improving human capital accumulation through targeted cash transfers, accompanying measures (or trainings), and preventive nutrition packages. In order to rigorously and independently assess the impacts of the program, the...

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