From Event Reports to Protest Analysis

2019 ◽  
pp. 62-76
Author(s):  
Nils B. Weidmann ◽  
Espen Geelmuyden Rød
Keyword(s):  
Research Design ◽  
Multilevel Models ◽  
Mass Mobilization ◽  
Units Of Analysis ◽  
Computer Scientists ◽  
The Hierarchical Structure ◽  
National Unit ◽  
Internet Penetration ◽  
Mass Protest ◽  
High Level

This chapter introduces the main elements of the research design for the empirical chapters in the book. Starting with the event reports provided by the Mass Mobilization in Autocracies Database, the chapter develops a research design that studies variation in local Internet penetration and anti-regime protest. The chapter motivates the choice of the sub-national unit of observation (cities), and temporal units of analysis (years, weeks). It introduces a new measure of Internet penetration derived from network measurements, developed in collaboration with computer scientists. The high level of spatial and temporal resolution allows for one of the most detailed analyses so far in the study of mass protest. The chapter also introduces the statistical models used for the analysis. The book relies on Bayesian multilevel models, a framework that takes into account the hierarchical structure of the data and has advantages in the analysis of data with skewed dependent variables.

scholarly journals Mobilization, Mass Perceptions, and (Dis)information: “New” and “Old” Media Consumption Patterns and Protest

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512199965
Author(s):  
Olga Onuch ◽  
Emma Mateo ◽  
Julian G. Waller
Keyword(s):  
New Media ◽  
Original Data ◽  
Online News ◽  
Consumption Patterns ◽  
Media Consumption ◽  
Mass Mobilization ◽  
Protest Literature ◽  
Frequent Consumption ◽  
Nationally Representative ◽  
Mass Protest

When people join in moments of mass protest, what role do different media sources play in their mobilization? Do the same media sources align with positive views of mass mobilizations among the public in their aftermath? And, what is the relationship between media consumption patterns and believing disinformation about protest events? Addressing these questions helps us to better understand not only what brings crowds onto the streets, but also what shapes perceptions of, and disinformation about mass mobilization among the wider population. Employing original data from a nationally representative panel survey in Ukraine ( Hale, Colton, Onuch, & Kravets, 2014 ) conducted shortly after the 2013–2014 EuroMaidan mobilization, we examine patterns of media consumption among both participants and non-participants, as well as protest supporters and non-supporters. We also explore variation in media consumption among those who believe and reject disinformation about the EuroMaidan. We test hypotheses, prominent in current protest literature, related to the influence of “new” (social media and online news) and “old” media (television) on protest behavior and attitudes. Making use of the significance of 2014 Ukraine as a testing ground for Russian disinformation tactics, we also specifically test for consumption of Russian-owned television. Our findings indicate that frequent consumption of “old” media, specifically Russian-owned television, is significantly associated with both mobilization in and positive perceptions of protest and is a better predictor of believing “fake news” than consuming “new” media sources.

scholarly journals A Psycholinguistic Study of Psychopathic Offenders’ Speech: دراسة لغوية نفسية عن كلام المختلين النفسيين

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Nareeman Jabbar Rasheed
Keyword(s):  
Research Design ◽  
Religious Experience ◽  
Ego Development ◽  
Hierarchy Of Needs ◽  
Descriptive Model ◽  
Cause And Effect ◽  
First Finding ◽  
High Level ◽  
Personality Features

The present study aims at studying the psychopathic speech of offenders and analyzing their behavior by using psycholinguistics. The following study involved a psycholinguistic analysis of psychopathic offenders’ speech. The research design was chosen to be descriptive and involved an observation of three offenders based on interviews done with them on YouTube. The descriptive model to be followed in analyzing the psychopathic offenders personality features is that of Hare (2003), and Hare et al's (1988).The first finding was that psychopaths were more likely than their counterparts to use explanatory and causally framed language concerning their criminal actions, with a relatively high level of subordinating conjunctions, indicating more cause and effect statements. This pattern suggested that psychopaths were more likely to have viewed the crime as a logical outcome of a plan (something that ‘had’ to be done to achieve a goal), their violence is indeed more instrumental and goal driven than that of other offenders. Secondly, we found that psychopaths used approximately twice as many words related to basic physiological and self-preservation needs, including eating, drinking, and money when describing their violence. This pattern is consistent with conceptualizations of psychopaths as being focused on a lower level of necessities, hierarchy of needs or in an earlier stage of ego development. Psychopaths generally lack the capacity for bonds and, presumably, the capacity for religious experience or spiritual enlightenment. As such, they continue to describe the crime in a cool, detached manner and in terms of the basic physiological needs they met at the time.

‘I am tired of being afraid’: Emotions and protest participation in Belarus

2021 ◽  
pp. 026858092110230
Author(s):  
Olena Nikolayenko
Keyword(s):  
Contentious Politics ◽  
Police Force ◽  
Mass Mobilization ◽  
Police Violence ◽  
Protest Movement ◽  
Media Reports ◽  
High Level

Belarus witnessed a staggering level of mass mobilization in the aftermath of the 2020 fraudulent election and disproportionate use of police force against peaceful protesters. Using the case of anti-government protests in Belarus, this article argues that a confluence of moral and reflex emotions explains an incredibly high level of protest participation in a hard autocracy. Specifically, indignation over the magnitude of electoral malpractices and the intensity of police violence, in congruence with the loss of fear, provides a moral battery for generating and sustaining mass mobilization. It is further argued that a sense of unity within the protest movement mitigates fear of repression and facilitates sustained engagement in protests. Drawing on media reports and protesters’ narratives, the study traces how citizens overcame their fear of state reprisal and took to the street. The article contributes to contentious politics literature by elucidating the role of emotions in shaping mass mobilization.

Quality Control of eLearning Research Design

2018 ◽  
Vol 9 (3) ◽  
pp. 46-67
Author(s):  
Hamdy Ahmed Abdelaziz
Keyword(s):  
Quality Control ◽  
Blended Learning ◽  
Present Article ◽  
Research Design ◽  
Research Methodology ◽  
Field Research ◽  
New Method ◽  
Arab States ◽  
High Level ◽  
Design And Production

The present article aimed at developing a research methodology to ensure quality control of eLearning field research design and production. The idea of the present research was to investigate effective and ineffective practices in eLearning field. The analysis of a sample of researches and studies (n = 200), conducted in the field of eLearning and Blended Learning in the Arab states revealed that the vast majority of eLearning researches and studies (70%) were stereotypical. Therefore, the researcher developed a list of indicators that ensure quality control of eLearning researches design. A new methodology to design and produce eLearning research is proposed. The proposed methodology contains four stages: Identify Investigate, Prototype, and Produce. Implementation of these stages required the adoption of a tetrad dialogue during the course of answering the six patterns of question: what, who, when, where, how, and why. In addition, the adoption of this new method may support producing adaptive and innovative eLearning research with high level of quality.

scholarly journals Application of Multilevel Models to Morphometric Data. Part 2. Correlations

2003 ◽  
Vol 25 (4) ◽  
pp. 187-191 ◽  
Author(s):  
O. Tsybrovskyy ◽  
A. Berghold
Keyword(s):  
Multilevel Modeling ◽  
Multilevel Models ◽  
Correlation Coefficients ◽  
Morphometric Data ◽  
Cell Level ◽  
Units Of Analysis ◽  
Major Interest ◽  
Level Statistics ◽  
Indispensable Tool ◽  
Multivariate Multilevel Models

Multilevel organization of morphometric data (cells are “nested” within patients) requires special methods for studying correlations between karyometric features. The most distinct feature of these methods is that separate correlation (covariance) matrices are produced for every level in the hierarchy. In karyometric research, the cell‐level (i.e., within‐tumor) correlations seem to be of major interest. Beside their biological importance, these correlation coefficients (CC) are compulsory when dimensionality reduction is required. Using MLwiN, a dedicated program for multilevel modeling, we show how to use multivariate multilevel models (MMM) to obtain and interpret CC in each of the levels. A comparison with two usual, “single‐level” statistics shows that MMM represent the only way to obtain correct cell‐level correlation coefficients. The summary statistics method (take average values across each patient) produces patient‐level CC only, and the “pooling” method (merge all cells together and ignore patients as units of analysis) yields incorrect CC at all. We conclude that multilevel modeling is an indispensable tool for studying correlations between morphometric variables.

scholarly journals INCREASED CAPACITY OF THE UNDERSTANDING OF THE CONCEPT AND THE ABILITY TO SOLVE PROBLEMS THROUGH THE IMPLEMENTATION OF THE MODEL OF TEACHING MATHEMATICS REALISTIC BASED ON COGNITIVE CONFLICT STUDENTS

2016 ◽  
Vol 5 (2) ◽  
pp. 109
Author(s):  
Dewi Herawaty ◽  
Rusdi Rusdi
Keyword(s):  
Research Design ◽  
Cognitive Conflict ◽  
Control Group ◽  
Teaching Mathematics ◽  
School Students ◽  
Control Group Design ◽  
Junior Secondary School ◽  
Junior Secondary ◽  
Level 3 ◽  
High Level

This research aims at: 1) the influence of the implementation of the model of teaching mathematics realistic based on cognitive conflict students to the ability to understanding the concept and troubleshooting capabilities; 2) determine the larger capacity of the understanding of the concept through the implementation of the model of teaching mathematics realistic based on cognitive conflict junior secondary school students the City of Bengkulu. 3) determine the great improvement of the ability to solve problems through the implementation of the model of teaching mathematics realistic based on cognitive conflict SMP students Bengkulu City.To achieve the goal of this research is to apply Research Design pseudo experiments with research design Pretest-Postest Nonequivalent Control Group Design, with the test instrument the ability to understanding the concept and test the troubleshooting capabilities. The data has been analyzed using the test gains. The results of this research is 1) the ability of understanding the concept and troubleshooting class experiment the given learning with PMR is better than with the ability to understanding the concept and troubleshooting control classes assigned to conventional mathematics lesson; 2) increase the ability of the understanding of the concept through the implementation of the model of teaching mathematics based on cognitive conflict SMP students Bengkulu City is significant with the index gain of 0,755 (high-level); 3) increase the ability to solve problems through the implementation of the model of teaching mathematics based on cognitive conflict SMP students Bengkulu City is significant with the index gain of 0,500 level (is).

scholarly journals A Predictive Linear Regression Algorithm for the Neuroimaging Data Model

2021 ◽  
Author(s):  
Ashmita Kumar
Keyword(s):  
Data Model ◽  
Imaging Data ◽  
Linear Modeling ◽  
Shared Resources ◽  
Testing Tools ◽  
Computer Scientists ◽  
Neuroimaging Data ◽  
Version 2.0 ◽  
Data Lifecycle ◽  
High Level

<p>The Neuroimaging Data Model (NIDM) was started by an international team of cognitive scientists, computer scientists and statisticians to develop a data format capable of describing all aspects of the data lifecycle, from raw data through analyses and provenance. NIDM was built on top of the PROV standard and consists of three main interconnected specifications: Experiment, Results, and Workflow. These specifications were envisioned to capture information on all aspects of the neuroimaging data lifecycle, using semantic web techniques. They provide a critical capability to aid in reproducibility and replication of studies, as well as data discovery in shared resources. The NIDM-Experiment component has been used to describe publicly-available human neuroimaging datasets (e.g. ABIDE, ADHD200, CoRR, and OpenNeuro datasets) along with providing unambiguous descriptions of the clinical, neuropsychological, and imaging data collected as part of those studies resulting in approximately 4.5 million statements about aspects of these datasets.</p><p>PyNIDM, a toolbox written in Python, supports the creation, manipulation, and query of NIDM documents. It is an open-source project hosted on GitHub and distributed under the Apache License, Version 2.0. PyNIDM is under active development and testing. Tools have been created to support RESTful SPARQL queries of the NIDM documents in support of users wanting to identify interesting cohorts across datasets in support of evaluating scientific hypotheses and/or replicating results found in the literature. This query functionality, together with the NIDM document semantics, provides a path for investigators to interrogate datasets, understand what data was collected in those studies, and provide sufficiently-annotated data dictionaries of the variables collected to facilitate transformation and combining of data across studies.</p><p>Beyond querying across NIDM documents, some high-level statistical analysis tools are needed to provide investigators with an opportunity to gain more insight into data they may be interested in combining for a complete scientific investigation. Here we report on one such tool providing linear modeling support for NIDM documents: nidm_linreg.</p>

scholarly journals A Predictive Linear Regression Algorithm for the Neuroimaging Data Model

2021 ◽  
Author(s):  
Ashmita Kumar
Keyword(s):  
Data Model ◽  
Imaging Data ◽  
Linear Modeling ◽  
Shared Resources ◽  
Testing Tools ◽  
Computer Scientists ◽  
Neuroimaging Data ◽  
Version 2.0 ◽  
Data Lifecycle ◽  
High Level

<p>The Neuroimaging Data Model (NIDM) was started by an international team of cognitive scientists, computer scientists and statisticians to develop a data format capable of describing all aspects of the data lifecycle, from raw data through analyses and provenance. NIDM was built on top of the PROV standard and consists of three main interconnected specifications: Experiment, Results, and Workflow. These specifications were envisioned to capture information on all aspects of the neuroimaging data lifecycle, using semantic web techniques. They provide a critical capability to aid in reproducibility and replication of studies, as well as data discovery in shared resources. The NIDM-Experiment component has been used to describe publicly-available human neuroimaging datasets (e.g. ABIDE, ADHD200, CoRR, and OpenNeuro datasets) along with providing unambiguous descriptions of the clinical, neuropsychological, and imaging data collected as part of those studies resulting in approximately 4.5 million statements about aspects of these datasets.</p><p>PyNIDM, a toolbox written in Python, supports the creation, manipulation, and query of NIDM documents. It is an open-source project hosted on GitHub and distributed under the Apache License, Version 2.0. PyNIDM is under active development and testing. Tools have been created to support RESTful SPARQL queries of the NIDM documents in support of users wanting to identify interesting cohorts across datasets in support of evaluating scientific hypotheses and/or replicating results found in the literature. This query functionality, together with the NIDM document semantics, provides a path for investigators to interrogate datasets, understand what data was collected in those studies, and provide sufficiently-annotated data dictionaries of the variables collected to facilitate transformation and combining of data across studies.</p><p>Beyond querying across NIDM documents, some high-level statistical analysis tools are needed to provide investigators with an opportunity to gain more insight into data they may be interested in combining for a complete scientific investigation. Here we report on one such tool providing linear modeling support for NIDM documents: nidm_linreg.</p>

scholarly journals Church Connectedness and Psychological Well-Being of Catholic Faithful in the Diocese of Bacolod

2019 ◽  
Vol 2 (1) ◽  
pp. 121
Author(s):  
Mark T. Ortibano
Keyword(s):  
Research Design ◽  
Significant Relationship ◽  
Well Being ◽  
Psychological Well Being ◽  
Correlational Research ◽  
High Level ◽  
High Degree

This study aimed to determine the degree of perceived church connectedness and the level of psychological well-being of the Catholic faithful in the Vicariate of Bago, Diocese of Bacolod as a whole and according to the demographics.  A descriptive-correlational research design was utilized to know the degree of church connectedness and its relationship to the level of psychological well-being of the respondents. The investigation used a researcher-made Church Connectedness Scale and the Flourishing Scale (FS). Results revealed a somewhat high degree of church connectedness and a high level of psychological well- being among respondents. Church connectedness is significantly correlated with age and mass attendance while psychological well-being is associated with organization and ministry affiliation. The weak significant relationship between church connectedness and psychological well-being has implications on the development of the said variables among the Catholic faithful.

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