Application of AID in Analysis of Energy Survey Data-A Case Study

1986 ◽  
Vol 35 (4) ◽  
pp. 459
Author(s):  
Paula J. Laschober ◽  
H. Tamura
Keyword(s):  
Survey Data ◽  
Energy Survey

Modding Europa Universalis IV: An informal gaming practice transposed into a formal learning setting

2021 ◽  
pp. 204275302110229
Author(s):  
Rhett Loban
Keyword(s):  
Survey Data ◽  
Formal Analysis ◽  
Educational Opportunities ◽  
Formal Learning ◽  
Game Based Learning ◽  
Quantitative Survey ◽  
Learning History ◽  
Formal Tool ◽  
Study Participants

This article explores the use of modding as a formal tool for learning history. The article examines data from a formal analysis of Europa Universalis IV (EUIV), a survey of 331 EUIV forum participants and a case study of 18 university participants. Significant quantitative survey data indicated that 45% (149/331) of participants had modified EUIV, and of the 125 participants who responded with comments about modding, a significant number (86/125 responses or 68.8%) explained how they had learnt about history, geography or other subjects through the modding process. Closer analysis of survey and case study responses and mods reveals the variety of ways participants learnt and critiqued history through the modding process. The article discusses the data and the pedagogical affordance of modding in a few steps. First, the article briefly explores the evidence that indicates modding is popular within the EUIV gaming community. In this instance, it examines whether given the popularity of gaming practice, modding might also be seen as a new casual form of engagement with games. Second, the article reviews the modding process in EUIV and examines how both playing and creating mods may be beneficial for learning history. Modding is examined in terms of its pedagogical importance and the unique educational opportunities it may offer that are not otherwise accessible through other forms of game-based learning. Finally, the article explores how and what the case study participants learnt when they were tasked with creating and implementing playable mods to demonstrate their understanding of history. Overall, the article considers the growing importance of mods, how learners can create and represent history using mods and how mods can provide a platform for learners to develop their own critique and analysis of official history.

scholarly journals The Formation of Expectations, Inflation, and the Phillips Curve

2018 ◽  
Vol 56 (4) ◽  
pp. 1447-1491 ◽  
Author(s):  
Olivier Coibion ◽  
Yuriy Gorodnichenko ◽  
Rupal Kamdar
Keyword(s):  
Survey Data ◽  
Rational Expectations ◽  
Phillips Curve ◽  
Rational Expectation ◽  
New Keynesian ◽  
Inflation Expectations ◽  
Full Information ◽  
Macroeconomic Modeling ◽  
Expectations Formation

This paper argues for a careful (re)consideration of the expectations formation process and a more systematic inclusion of real-time expectations through survey data in macroeconomic analyses. While the rational expectations revolution has allowed for great leaps in macroeconomic modeling, the surveyed empirical microevidence appears increasingly at odds with the full-information rational expectation assumption. We explore models of expectation formation that can potentially explain why and how survey data deviate from full-information rational expectations. Using the New Keynesian Phillips curve as an extensive case study, we demonstrate how incorporating survey data on inflation expectations can address a number of otherwise puzzling shortcomings that arise under the assumption of full-information rational expectations. (JEL D04, E24, E27, E31, E37)

Multivariate approach to analyzing survey data: a case study of beekeeping in Lebanon

2021 ◽  
pp. 1-9
Author(s):  
Rita El Hajj ◽  
Nabil Nemer ◽  
Wadih Skaff ◽  
Nathalie Estephan
Keyword(s):  
Survey Data ◽  
Multivariate Approach

scholarly journals Inference from the small scales of cosmic shear with current and future Dark Energy Survey data

2016 ◽  
Vol 465 (3) ◽  
pp. 2567-2583 ◽  
Author(s):  
N. MacCrann ◽  
J. Aleksić ◽  
A. Amara ◽  
S. L. Bridle ◽  
C. Bruderer ◽  
...  
Keyword(s):  
Dark Energy ◽  
Survey Data ◽  
Dark Energy Survey ◽  
Small Scales ◽  
Cosmic Shear ◽  
Energy Survey

scholarly journals Mass–elite differences in new democracies: Tunisia as a case study (2010–2016)

2020 ◽  
Vol 19 (4) ◽  
pp. 550-561 ◽  
Author(s):  
Mahmoud Farag
Keyword(s):  
Survey Data ◽  
Political Representation ◽  
New Democracies ◽  
Issue Salience ◽  
Economic Dimension ◽  
Party Manifesto ◽  
The Future ◽  
Political Dimensions

AbstractThis article argues for inductive exploration of mass–elite differences in new democracies. Grounded in the “delegate model” of political representation, I do this by studying issue positions and issue salience of masses before turning to elites. The article demonstrates this approach using Tunisia, the only Arab democracy, by analysing survey data and originally coded party manifesto data. From an issue position perspective, the article uncovers mass–elite incongruence on the democratic–authoritarian and secular–Islamist political dimensions. From an issue salience lens, there is mass–elite congruence on the economic dimension. How mass–elite incongruence unfolds might affect the future of democracy in Tunisia.

scholarly journals Vulnerability in a tracked society: Combining tracking and survey data to understand who gets targeted with what content

2020 ◽  
Vol 22 (11) ◽  
pp. 1996-2017
Author(s):  
Nadine Bol ◽  
Joanna Strycharz ◽  
Natali Helberger ◽  
Bob van de Velde ◽  
Claes H de Vreese
Keyword(s):  
Survey Data ◽  
Online Communication ◽  
Data Driven ◽  
Health Conditions ◽  
User Characteristics ◽  
Individual Perceptions ◽  
Health Related ◽  
Online Tracking ◽  
The Impact

While data-driven personalization strategies are permeating all areas of online communication, the impact for individuals and society as a whole is still not fully understood. Drawing on Facebook as a case study, we combine online tracking and self-reported survey data to assess who gets targeted with what content. We tested relationships between user characteristics (i.e. socio-demographic and individual perceptions) and exposure to branded content on Facebook. Findings suggest that social media use sophisticated algorithms to target specific groups of users, especially in the context of gender-stereotyping and health. Health-related content was predominantly targeted at older users, females, and at those with higher levels of trust in online companies, as well as those in poorer health conditions. This study provides a first indication of unfair targeting that reinforces stereotypes and creates inequalities, and suggests rethinking the impact of algorithmic targeting in creating new forms of individual and societal vulnerabilities.

Labour Aristocracy–a Northern Nigerian Case Study

1974 ◽  
Vol 12 (1) ◽  
pp. 57-67 ◽  
Author(s):  
Keith Hinchliffe
Keyword(s):  
Economic Development ◽  
Survey Data ◽  
Small Scale ◽  
Northern Nigeria ◽  
Rural Farmers ◽  
Detailed Survey ◽  
Urban Workers ◽  
Wage Labour ◽  
Term Labour

The term ‘labour aristocracy’ first appeared in the literature on African economic development in 1968,1 although African wage labour had previously been described as a privileged elite on many occasions. I wish to question the accuracy and relevance of the type of calculation upon which these descriptions are based, and to present the situation which prevails today in Northern Nigeria, using detailed survey data on the earnings of rural farmers, urban workers, and those employed in small-scale enterprises.

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