ResearchPad - Social Science https://www.researchpad.co Default RSS Feed en-us © 2020 Newgen KnowledgeWorks <![CDATA[Turnout and Territorial Reform: Data from Sub municipal governments in Portugal]]> https://www.researchpad.co/product?articleinfo=N1b511520-49c6-4daa-b0eb-7e04c585a401

This database is related to the voter turnout in five election cycles (2001, 2005, 2009, 2013 and 2017). The data was used in the original in the article “The effects of amalgamations on voter turnout: Evidence from sub-municipal governments in Portugal” (DOI: 10.1016/j.cities.2020.102685). The evolution of turnout in Portuguese sub-municipal units (SMUs) has followed the trend of western democracies and recorded a continuous drop. The 2013 territorial reform of SMUs contributed to the increment of the gap of electors that choose not to cast a vote in the elections. Data provides further details on how the territorial reform had an impact on the level of electoral participation. It also adds data on SMUs turnout divided by type and whether or not SMUs were merged.

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<![CDATA[An Asian Perspective: The dataset for validation of Teachers’ Information and Communication Technology Access (TICTA)]]> https://www.researchpad.co/product?articleinfo=Nda782325-9c5c-47b4-a010-34a1b28c8f74

This dataset presents the validation process of a survey of factors affecting Indonesian K-12 school teachers’ Teachers’ Information and Communication Technology Access (TICTA). An initial instrument was developed through the adaptation of instruments from previous studies. Afterward, it was piloted to 120 teachers and tested for its reliability. For the main data collection, the instrument was distributed online and responded by 2775 Indonesian K-12 school teachers. The main data analysis was conducted for the measurement model using four assessments; reflective indicator loadings, internal consistency reliability, convergent, and discriminant validity. The Partial Least Square Structural Equation Model (PLS-SEM) was utilized for the analysis. The dataset is beneficial for educational regulators in providing appropriate access to ICT in K-12 education and for educational researchers for future research on technology access in teaching.

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<![CDATA[An alternative method to test scale invariance]]> https://www.researchpad.co/product?articleinfo=N6b2c9edf-d485-4b18-9302-27938c66dfe4

We introduce an alternative method that is simple and can be used to test scale invariance or self-similarity in any types of data, irrespective of their distributions. Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. This alternative method could be used as a preliminary screening before investigating further which types of distributions would fit the actual observations.

  • We introduce a simple method to test scale invariance, regardless of data distributions.

  • Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test.

  • This alternative method could serve as an initial screening before investigating further which types of distributions would fit the actual data.

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<![CDATA[Methods for evaluating the adoption and use of digital technologies in GLAMs]]> https://www.researchpad.co/product?articleinfo=Ne629eb6f-a4b8-48a9-8474-26a14ab09fd3

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<![CDATA[Experimental and survey-based data on willingness to pay for seafood safety and environmental sustainability certification in Nigeria]]> https://www.researchpad.co/product?articleinfo=N1b0172af-8482-40d6-bb06-dfa8e647b564

Aquatic foods, including fish, are a substantial component of animal source foods globally, and make a critical nutritional contribution to diets in many contexts. In the global North, concern among consumers and regulators over the safety and environmental sustainability of seafood, particularly in developed nations, has led to the development of increasingly stringent seafood safety standards. While such standards may constitute regularity, logistical, and economic barriers to participation in export markets by small-scale producers, they have in other contexts catalysed upgrades to production and post-harvest handling practices within value chains associated with both capture fisheries and aquaculture. The health burden of foodborne illnesses is a major concern in developing countries. As incomes rise, consumers in developing countries are increasingly willing to pay a premium for safer and environmentally sustainable foods. However, there is little empirical evidence on consumers’ willingness to pay for seafood safety in developing countries, particularly in sub-Saharan Africa. Data on demand for seafood safety and environmental sustainability certification in African countries are largely unavailable in the public domain. In this paper, we describe data collected in Lagos State, Nigeria in October and November 2019. Experiments in the form of Becker-DeGroote-Marschak (BDM) auction mechanism, and post experiment surveys were conducted with 200 fish consumers in fish markets. These data can be used to assess whether consumers’ demand for safe and healthy seafood from local markets can be harnessed to generate positive economic returns to producers.

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<![CDATA[Data on strategic performance of Greek universities during the economic recession: A multiple criteria approach]]> https://www.researchpad.co/product?articleinfo=Nf5eae1f7-80d0-42ef-8c5b-8b29e533bb8f

In this article we provide data from seven Greek Universities during the economic recession. Based on the data that has been collected we assess the strategic performance of the universities using the aggregation disaggregation theory of the Multiple Criteria Analysis. Via the proposed algorithm we reveal the cognitive style and the behavior style in order to assess the strategic performance of the universities and more over we elucidate possible strategic actions.

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<![CDATA[The Health Education Research Experience (HERE) program metadata dataset]]> https://www.researchpad.co/product?articleinfo=Nac89a4ff-327e-4bf8-aece-85d6c5b119c3

Undergraduate subject pools are prevalent across disciplines in the United States. The Health Education Research Experience (HERE) Program was the first known course-based subject pool entirely managed and conducted online for online students enrolled in an introductory health education/health promotion course. The program was conducted within five semesters from Spring 2012 through Summer 2013. The HERE Program encompassed 13 studies embedded in two sections of an undergraduate online course at the University of Florida. The studies were all related to course topics and current research topics in health education/promotion (as identified through the Healthy People 2020 Framework). The topics ranged from the relatively less sensitive health aspects of college life (i.e., technology use) to studies assessing more sensitive health topics (i.e., intimate partner violence and sexual assault). In alignment with a best practice in survey design, the HERE Program's survey instruments included one metadata item embedded in each survey to identify which devices students used to complete the surveys. Understanding which devices students used for survey completion has ramifications for survey designers and survey researchers. In contrast to the relative uniformity of pen and paper surveys and control of the survey completion environment, online surveys may not look identical across personal devices and may be completed in increasingly varied environments. All studies, study procedures and protocols, and metadata collection procedures were approved by the university's Institutional Review Board. The data presented here were extracted from each survey's data files and aggregated. The aggregated metadata are available through Mendeley Data in a.csv file for widespread access. Descriptive statistics are presented in tables. The data provided in this article will benefit researchers interested in survey methodology, questionnaire design, modes of survey collection, and survey metadata. The data are hosted in the following Mendeley Data repository: https://data.mendeley.com/datasets/ht9jmd3cdt/2.

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<![CDATA[Dataset on the calculations of daily adult word and conversational turn counts, and use of styles of oral interaction in 2–5-year olds with hearing loss in New Zealand]]> https://www.researchpad.co/product?articleinfo=N0ee59fdc-2f46-442e-a7df-61437854b43c

This article describes the data regarding the calculations of language input from the natural language environments of children with hearing loss, taken from four full typical days in a week using a LENA (Language ENvironment Analysis) digital recorder. Calculations were based on 14 children with hearing loss from 24 to 60 months as they interacted with their family. Participants were recruited from the Hearing House, the Speech Clinic at the University of Auckland, and Early Childcare Centers (ECC) in Auckland, New Zealand. All families were interacting with their children orally without using sign language. Data were collected from natural language environments from May 2018 to May 2019. Language environments were examined in terms of daily quantity of language input and styles of oral interaction children were exposed to when interacting with their parent/primary caregiver. To determine quantity of language input, two kinds of observations were taken from the LENA automatic calculation of the number of adult words and number of conversational turns. Segments of the recordings were manually transcribed and coded onto 17 styles of oral interaction, which were further classified into three categories (optimal, moderate, and sub-optimal).

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<![CDATA[Optimal timing and capacity choice under the rate-of-return renewable energy support]]> https://www.researchpad.co/product?articleinfo=Nd4f6f28d-4d0a-4696-8b94-096b61b98967

This article presents a stylized renewable energy (RE) investment project profitability analysis under a rate-of-return RE support type. We use a dynamic programming approach to value the real options. While the method is widely used in RE policy analysis, the rate-of-return support is presented in this framework for the first time. We formulate a stylized RE project under the rate-of-return regulation in the dynamic programming framework and solve for optimal investment timing and project size.

  • A stylized renewable energy (RE) investment under rate-of-return RE support is presented in the dynamic programming framework;

  • The system is solved for optimal capacity choice in the presence of the electricity price uncertainty. We also comment on the optimal investment timing, which turns out to be a now-or-never decision in this case.

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<![CDATA[A clustering approach for topic filtering within systematic literature reviews]]> https://www.researchpad.co/product?articleinfo=Ndd5ee0d5-2057-4001-acfd-9029fd603b70

Within a systematic literature review (SLR), researchers are confronted with vast amounts of articles from scientific databases, which have to be manually evaluated regarding their relevance for a certain field of observation. The evaluation and filtering phase of prevalent SLR methodologies is therefore time consuming and hardly expressible to the intended audience. The proposed method applies natural language processing (NLP) on article meta data and a k-means clustering algorithm to automatically convert large article corpora into a distribution of focal topics. This allows efficient filtering as well as objectifying the process through the discussion of the clustering results. Beyond that, it allows to quickly identify scientific communities and therefore provides an iterative perspective for the so far linear SLR methodology.

  • NLP and k-means clustering to filter large article corpora during systematic literature reviews.

  • Automated clustering allows filtering very efficiently as well as effectively compared to manual selection.

  • Presentation and discussion of the clustering results helps to objectify the nontransparent filtering step in systematic literature reviews.

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<![CDATA[A method for comparing perceptual distances and areas with multidimensional scaling]]> https://www.researchpad.co/product?articleinfo=Na6ae520a-2825-4559-90fe-339ea70051bb

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<![CDATA[Student perception data on online learning using heutagogy approach in the Faculty of Mathematics and Natural Sciences of Universitas Negeri Makassar, Indonesia]]> https://www.researchpad.co/product?articleinfo=Nac14fc6c-4194-4220-938b-633352a513d4

One of the important things in the Industrial Revolution 4.0 era was online learning. Therefore, this article describes data about student perceptions related to online learning and data on how long students have been familiar with the internet, what devices are used, and what they are used for. This data includes all departments in the Faculty of Mathematics and Natural Sciences of Universitas Negeri Makassar (FMIPA UNM), Indonesia. The sample in this data are 250 students from various departments at FMIPA UNM. The data collection method used was a questionnaire. The results of this data collection we present some of the questions variables/items included in the dataset. The findings from the data show that about 75% of students of FMIPA UNM agree with the use of online learning. In general, the characteristics of students in every province in Indonesia are “similar” in terms of thinking related to online learning i.e. millennial students, moreover most students already use the internet as a primary need for learning, so this data has policy implications for higher education in Indonesia during the industrial revolution 4.0.

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<![CDATA[Dataset on perception among male secondary school students on underage smoking in Jordan]]> https://www.researchpad.co/product?articleinfo=N7ba5b55b-3538-4403-9c07-22da38ce6c5c

The World Health Organization (WHO) revealed in 2015 that the percentage of smokers in Jordan is one of the highest in the world, reaching 70.2% among males and consequently ranking first in the Middle Eastern region and second in the world. Cigarettes are the most widely abused substance among school students in Jordan. This poses severe health risks to the public. The WHO emphasizes that one of the most important public health goals related to smoking is to reduce its harmful effects on the individual as well as society and the prevention and treatment of injuries. This article explores the nature of smoking among school students, binge smoking, and the consequences of smoking. Secondary school students undergo developmental transitions, and this comes with debilitating effects such as the risky use of cigarettes, which adversely affects their health and educational achievements. This article comprises data obtained from 1166 participants (ages 14–17 years) from selected schools in Jerash, near Amman, Jordan. For data collection, a youth questionnaire on underage smoking was utilized. The article presents information on the participants’ smoking demographic. Analyses of the data can provide insights into the reasons for the smoking habits of the youth, the negative effects of smoking on school students, strategies to reduce smoking consumption, level of consumption of daily smokers, health issues caused by smoking, the prevalence of smoking, the effect of smoker parents on stimulating their children, and common smoking areas. The data will be useful for institutions dealing with prevalent health problems in society (Smoking causes health problems that affect students' learning) as well as benefit future researchers.

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<![CDATA[Policy content analysis: Qualitative method for analyzing sub-national insect pollinator legislation]]> https://www.researchpad.co/product?articleinfo=Nfd49bfa8-bfcd-4081-b179-a99d31aca05d

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<![CDATA[Multiple qualitative procedures to elicit reverse culture shock experience]]> https://www.researchpad.co/product?articleinfo=N7cfc80a5-5fc2-4e7a-8496-3d591de0ca29

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<![CDATA[Problem-method fit in forest policy analysis: Empirical pre-orientation for selecting tested or innovative social-qualitative methods]]> https://www.researchpad.co/product?articleinfo=N9cda08d2-1ab2-4fd3-88a0-12044a71382b

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<![CDATA[Semantic network from the words happiness and wellbeing: Dataset in a Mexican sample]]> https://www.researchpad.co/product?articleinfo=Ne9fafee4-fab4-4d53-bc77-403dcf162c91

The present paper presents data with information about related words for happiness and wellbeing attributed by people living in a northern city of Mexico. Quota sampling technique was used to collect the data following the distribution of the population by age and gender. National Institute of Geography and Statistics in México was consulted to obtain the proportion of age range and gender in the city of Guaymas, Sonora. Participants from 18 to 85 years old (M = 41.77, ST = 16.76) answer the instrument for a semantic network technique, which is composed by two steps, first freely answer words related to each concept (happiness/wellbeing), and second, hierarchizing them from the most to the least related. The dataset presents the words given by the participants ordered by their hierarchy; number one indicates the concept that people indicated as the most related to the concept. This article presents the ten more related words for each concept (Table 1), the ten related words by male and female for wellbeing (Table 2), and happiness (Table 3). Health is more related to wellbeing, while the family is more frequently related to happiness.

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<![CDATA[Dataset on commuting patterns and mode-switching behavior under prospective policy scenarios for public transport]]> https://www.researchpad.co/product?articleinfo=N5d6c35f3-c436-4f0f-a4d2-366d472ee914

This paper covers a broadly used methodology used in travel behavior research aiming at determining individual and alternative-specific variables that influence the choice of the transportation mode for commuting trips. Data used in the analysis were obtained in July 2015 by means of a computer-assisted telephonic interview survey conducted in Cluj Metropolitan Area, Romania. The survey collected a wide range of day-by-day travel patterns, socioeconomic data, and attitudes and perceptions toward urban transportation services. Given the lack of studies from emerging, post-socialist countries, the survey assigned a section dedicated to an alternative ticketing policy for public transport services in order to evaluate the willingness of commuters to switch to a more sustainable transportation through non-coercive interventions. A revealed preference – stated preference modelling methodology was adopted in order to reveal the role of socioeconomic characteristics, along with features of transport supply and built environment in explaining commuting patterns and forecast sustainable modal splits. Both the survey and the methodology are scalable and flexible to be used, adapted, and applied in a wide range of transport policies regarding modal shifting strategies.

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<![CDATA[The bureaucratic politics of conservation in governing land conflict: A typology of capacities]]> https://www.researchpad.co/product?articleinfo=N0897f84b-c5b6-4b2e-9df2-708acbbb060f

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<![CDATA[The socioeconomic conditions of recyclers: Census data in Cali, Colombia]]> https://www.researchpad.co/product?articleinfo=5c801298d5eed0c484a9ae97

This data article describes two data sets about the socioeconomic conditions of recyclers in Cali, the third largest city in Colombia, South America. Data collected were aimed at understanding the social and economic conditions of this population in order to provide information for crafting policy alternatives for poverty alleviation. Information was collected in two waves in 2013 and in 2015. The first data collection (2013) was focused on a subgroup of recyclers and the second data collection (2015) was a census. In total, more than 3000 direct surveys to recyclers were conducted at individual and family level. In both data collection rounds, information about socioeconomic factors, health, working conditions, access to welfare programs and family composition was gathered. Both data rounds were financed by the local government as an input to design policy interventions to improve the recyclers’ quality of life in the city. The data of this manuscript is associated with the publication (Estrada et al., 2017).

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