scholarly journals A Nonparametric Statistical Approach to Content Analysis of Items

Stats ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 1-13
Author(s):  
Diego Marcondes ◽  
Nilton Marcondes
Keyword(s):  
Content Analysis ◽  
Statistical Approach ◽  
Practical Method ◽  
Statistical Test ◽  
Validation Process ◽  
Multidimensional Construct ◽  
Analysis Process ◽  
Psychometric Instruments ◽  
Consistency Of The Test ◽  
Nonparametric Statistical

In order to use psychometric instruments to assess a multidimensional construct, we may decompose it into dimensions and, in order to assess each dimension, develop a set of items, so one may assess the construct as a whole, by assessing its dimensions. In this scenario, content analysis of items aims to verify if the developed items are assessing the dimension they are supposed to by requesting the judgement of specialists in the studied construct about the dimension that the developed items assess. This paper aims to develop a nonparametric statistical approach based on the Cochran’s Q test to analyse the content of items in order to present a practical method to assess the consistency of the content analysis process; this is achieved by the development of a statistical test that seeks to determine if all the specialists have the same capability to judge the items. A simulation study is conducted to check the consistency of the test and it is applied to a real validation process.

ANOCVA: A Nonparametric Statistical Test to Compare Clustering Structures

2018 ◽  
pp. 113-125
Author(s):  
Alexandre Galvão Patriota ◽  
Maciel Calebe Vidal ◽  
Davi Augusto Caetano de Jesus ◽  
André Fujita
Keyword(s):  
Statistical Test ◽  
Nonparametric Statistical Test ◽  
Nonparametric Statistical

Capturing toleration on social networks sites using internet-mediated research: June 30th Egyptian revolution case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noha A. Nagy ◽  
Amira S.N. Tawadros ◽  
Amal S. Soliman
Keyword(s):  
Content Analysis ◽  
Design Methodology ◽  
Web Content ◽  
Validity And Reliability ◽  
Social Phenomena ◽  
Egyptian Revolution ◽  
Content Type ◽  
Analysis Process ◽  
Egyptian Culture

Purpose This paper aims at understanding the dynamics underlying toleration as a complex social phenomenon and its pattern on Facebook during the June 30th revolution in Egypt. Thanks to the huge advances in ICT, internet-mediated research (IMR) has become one of the most prominent research methodologies in social sciences. Discussions on social network sites cannot be neglected in studying the dynamics complex and emerging social phenomena such as changes in public opinion, culture, attitudes and virtues. Design/methodology/approach To fulfill this aim, the researchers used web content analysis as a method inside IMR paradigm to analyze the discussions on Tamarrod’s Facebook page in the period from June 30th to July 5th and to examine the emerging overall pattern of toleration. Findings The results show indications that toleration is inherent in the Egyptian culture, and that the Egyptian society still keeps its reputation as a highly tolerant society, even in crises periods where tensions are witnessed everywhere. Moreover, the results also show that the web content analysis process proposed in this study is highly reliable and valid. Originality/value The importance of the study lies in introducing a computational and empirical approach to analyze web content in a semi-automated way and proving its validity and reliability to study social phenomena such as toleration.

scholarly journals Big Data Characterization of Learner Behaviour in a Highly Technical MOOC Engineering Course

2016 ◽  
Vol 3 (3) ◽  
pp. 170-192 ◽  
Author(s):  
Kerrie Anna Douglas ◽  
Peter Bermel ◽  
Md Monzurul Alam ◽  
Krishna Madhavan
Keyword(s):  
Big Data ◽  
Learning Analytics ◽  
Statistical Test ◽  
Future Research ◽  
User Behaviour ◽  
Significant Difference ◽  
Nonparametric Statistical Test ◽  
Nonparametric Statistical

MOOCs attract a large number of users with unknown diversity in terms of motivation, ability, and goals. To understand more about learners in a MOOC, the authors explored clusters of user clickstream patterns in a highly technical MOOC, Nanophotonic Modelling through the algorithm k-means++.  Five clusters of user behaviour emerged: Fully Engaged, Consistent Viewers, One-Week Engaged, Two-Week Engaged, and Sporadic users. Assessment behaviours and scores are then examined within each cluster, and found different between clusters. Nonparametric statistical test, Kruskal-Wallis yielded a significant difference between user behaviour in each cluster. To make accurate inferences about what occurs in a MOOC, a first step is to understand the patterns of user behaviour. The latent characteristics that contribute to user behaviour must be explored in future research. Keywords: MOOCs, Learning Analytics, Assessment

An automated quantitative content analysis process for humanitarian logistics research

2019 ◽  
Vol 9 (3) ◽  
pp. 475-491 ◽  
Author(s):  
Nathan Kunz
Keyword(s):  
Content Analysis ◽  
Secondary Data ◽  
Humanitarian Logistics ◽  
Quality Data ◽  
Main Theme ◽  
Quantitative Content Analysis ◽  
Content Type ◽  
Humanitarian Organizations ◽  
Analysis Process ◽  
Quantitative Content

Purpose Access to high-quality data is a challenge for humanitarian logistics researchers. However, humanitarian organizations publish large quantities of documents for various stakeholders. Researchers can use these as secondary data, but interpreting big volumes of text is time consuming. The purpose of this paper is to present an automated quantitative content analysis (AQCA) approach that allows researchers to analyze such documents quickly and reliably. Design/methodology/approach Content analysis is a method to facilitate a systematic description of documents. This paper builds on an existing content analysis method, to which it adds automated steps for processing large quantities of documents. It also presents different measures for quantifying the content of documents. Findings The AQCA approach has been applied successfully in four papers. For example, it can identify the main theme in a document, categorize documents along different dimensions, or compare the use of a theme in different documents. This paper also identifies several limitations of content analysis in the field of humanitarian logistics research and suggests ways to mitigate them. Research limitations/implications The AQCA approach does not provide an exhaustive qualitative analysis of documents. Instead, it aims to analyze documents quickly and reliably to extract the contents’ quantifiable aspects. Originality/value Although content analysis has been used in humanitarian logistics research before, no paper has yet proposed an automated, step-by-step approach that researchers can use. It also is the first study to discuss specific limitations of content analysis in the context of humanitarian logistics.

scholarly journals Teoria da Perspectiva e os Riscos Envolvidos no Processo de Tomada de Decisão: Análise de Conteúdo em Artigos do ProQuest

2016 ◽  
Vol 8 (1) ◽  
pp. 60-89
Author(s):  
Sady Darcy Da Silva-Junior ◽  
Edimara Mezzomo Luciano
Keyword(s):  
Decision Making ◽  
Content Analysis ◽  
Prospect Theory ◽  
Joint Analysis ◽  
Decision Making Process ◽  
Critical Attitude ◽  
Analysis Process ◽  
Methodological Approaches

In this study, the objective is to perform content analysis on articles of a reliable database, dealing with the prospect theory and the risks involved in the decision making process, evaluating some criteria for the theoretical and methodological approaches that allow a joint analysis and comparative. Therefore, a search in ProQuest database was performed which resulted in 15 articles that were submitted to content analysis process, based on the evaluation of nine factors identified by researchers. Among the results highlight the critical attitude to the prospect theory, in contrast to the assertion of his representative capacity of real situations and application in various situations.

scholarly journals COMBINED NONPARAMETRIC CHI-SQUARED AND BINOMIAL STATISTICAL TEST ON TRUCK TRAFFIC VOLUME CHANGES IN CANADIAN PROVINCIAL HIGHWAY NETWORK

Transport ◽  
2019 ◽  
Vol 34 (1) ◽  
pp. 103-114 ◽  
Author(s):  
Hyuk-Jae Roh ◽  
Satish Sharma
Keyword(s):  
Statistical Tests ◽  
Weather Conditions ◽  
Statistical Test ◽  
Truck Traffic ◽  
Long Distance ◽  
Type Distribution ◽  
Weigh In Motion ◽  
Highway Network ◽  
Chi Squared ◽  
Nonparametric Statistical

This paper examines the effect of weather conditions on truck type distribution using combined nonparametric chi-squared and binomial probability statistical tests. Influence of the winter conditions on truck type distribution is investigated in this paper by classifying trucks into single-unit trucks, single-trailer, and multi-trailer units. The investigation is based on 5 years Weigh-In-Motion (WIM) traffic data collected from Alberta provincial highway network in Canada. The WIM data is collected from six WIM sites located on Highway 2, Highway 2A, Highway 3, Highway 16 and Highway 44. The objective of this study is to investigate the association of three truck type distribution with month and season depending on weather conditions by means of nonparametric statistical test. The statistical results indicate that the variation of truck type distribution is influenced by type of highway facility, such as regional commuter roads and rural long distance highways. The season of the year (winter and non-winter) may also affect the truck type distribution on some types of roads. Findings of this study can benefit highway agencies in developing programs and policies related to efficient monitoring of truck traffic and maintaining highway network throughout the year.

Sign in / Sign up

Export Citation Format

Share Document