scholarly journals Studying Statistics Anxiety Requires Sound Statistics: A Comment on Siew, McCartney, and Vitevitch (2019)

2019 ◽  
Author(s):  
Fabian Dablander ◽  
Sacha Epskamp ◽  
Jonas M B Haslbeck
Keyword(s):  
Data Analysis ◽  
Statistical Model ◽  
Network Model ◽  
Network Science ◽  
Network Models ◽  
Statistics Anxiety ◽  
Scientific Disciplines ◽  
Statistics Course ◽  
Relevant Topic ◽  
Using Data

Empirical scientists cannot do without statistics. This fact is reflected by the pervasiveness of statistics courses in the curricula of essentially all scientific disciplines. Unfortunately, many students exhibit statistics anxiety, that is, ''feelings of anxiety [...] when taking a statistics course or doing statistical analyses'' (Cruise, Cash, & Bolton, 1985, p. 92). In a recent publication, Siew, McCartney, & Vitevitch (2019) aim to shed new light on this highly relevant topic by using data analysis tools from the field of network science. However, just as with any other statistical model, one has to carefully assess the adequacy and robustness of a network model. In this commentary, we point to a number of shortcomings in the article by Siew et al. (2019) with respect to this goal that question their main conclusions. We explain each problem and suggest ways to address it. We hope that these suggestions help to put future investigation of statistics anxiety using network models on a firm methodological basis.

scholarly journals Likelihood-based approach to discriminate mixtures of network models that vary in time

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Naomi A. Arnold ◽  
Raul J. Mondragón ◽  
Richard G. Clegg
Keyword(s):  
Network Model ◽  
Change Point ◽  
Network Science ◽  
Preferential Attachment ◽  
Network Models ◽  
Explanatory Models ◽  
Growth Mechanisms ◽  
Artificial Data ◽  
Network Growth ◽  
Over Time

AbstractDiscriminating between competing explanatory models as to which is more likely responsible for the growth of a network is a problem of fundamental importance for network science. The rules governing this growth are attributed to mechanisms such as preferential attachment and triangle closure, with a wealth of explanatory models based on these. These models are deliberately simple, commonly with the network growing according to a constant mechanism for its lifetime, to allow for analytical results. We use a likelihood-based framework on artificial data where the network model changes at a known point in time and demonstrate that we can recover the change point from analysis of the network. We then use real datasets and demonstrate how our framework can show the changing importance of network growth mechanisms over time.

scholarly journals Application of Statistical Model in Wastewater Treatment Process Modeling Using Data Analysis

2015 ◽  
Vol 2 (3) ◽  
pp. 186-194
Author(s):  
Alireza Raygan Shirazinezhad ◽  
Morteza Zare ◽  
Fahime Zare ◽  
Mohammad Mehdi Baneshi ◽  
Soheila Rezaei ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Data Analysis ◽  
Statistical Model ◽  
Process Modeling ◽  
Treatment Process ◽  
Wastewater Treatment Process ◽  
Using Data

scholarly journals A network model of retrieval failures: Moving forward with incorporating clinical data

2021 ◽  
Author(s):  
Nichol Castro
Keyword(s):  
Clinical Practice ◽  
Network Model ◽  
Clinical Data ◽  
Network Science ◽  
Cognitive Model ◽  
Network Models ◽  
Language Disorders ◽  
Methodological Issues ◽  
Retrieval Failure

Understanding retrieval failures requires a cognitive model that considers not just impaired processes, but also the role of structure. The development of a network model of retrieval failures requires the inclusion of clinical data, but there remain methodological issues in using and interpreting such data: locus of retrieval failure, heterogeneity of individuals, and progression of disorder/disease. Techniques from network science may prove useful in addressing these issues, while capturing the complexity of language disorders. Critically, any network model we employ could have downstream impact on clinical practice, which ultimately impacts patient lives, harkening the need for theoretically well-informed network models.

AKTUALISASI PEDIDIKAN KARAKTER DALAM PENGEMBANGAN REVOLUSI MENTAL BERBASIS ADIWIYATA DAN MULTIKULTURAL

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Suhardi Suhardi
Keyword(s):  
Data Analysis ◽  
Character Education ◽  
Achievement Motivation ◽  
Case Study Research ◽  
Individual Development ◽  
Human Beings ◽  
Soft Skill ◽  
Design Data ◽  
Strategic Role ◽  
Using Data

Mental revolution of education requires efforts to print educated human beings by having the motivation to meet the standards of achievement excellence, such as ethos of progress, ethics, achievement motivation, discipline, optimistic, productive, innovative and active views. This can be implemented with character education. Character education is one of the soft skill tools that can be integrated in learning in each subject. Learning activities using an active learning approach have a strategic role in instilling national character values so that students are able to behave and act on values that have become their personality. The purpose of this study was to find and analyze about: 1) Implementation of Character Education to Build Adiwiyata-Based Mental Revolution and Multiculturalism; 2) Implementation of Character Education to Build Mental Revolution in Organizational Culture. This study uses a qualitative approach with phenomenological naturatistics (phenomenology approach), with a descriptive type of case study research design. Data were analyzed using data analysis techniques: data reduction, data analysis and conclusions. The results of the study are: The application of character education to develop a mental revolution can be started from the character of building the environment. Environmental character is very important for individual development. The implementation of character education in building a mental revolution can emphasize the internalization of multicultural values and Adiwiyata which in the end will form a loving environmental awareness and foster a spirit of tolerance.

Peranan Ketua Pengurus dan Manajer Dalam Penyusunan dan Penerapan Laporan Keuangan Berbasis SAK ETAP Pada Koperasi di Kota Palembang

2019 ◽  
Vol 14 (2) ◽  
pp. 119
Author(s):  
Riza Syahputera ◽  
Martha Rianty
Keyword(s):  
Data Analysis ◽  
Sampling Technique ◽  
Financial Statements ◽  
Significant Positive Effect ◽  
Analysis Technique ◽  
Regression Test ◽  
Using Data ◽  
The City ◽  
Positive Effect

AbstractThis study aims to determine the effect of the role of the Chairperson and Cooperative Manager in the preparation and application of Financial Statements based on SAK ETAP in cooperatives in the city of Palembang. This research is a quantitative study using data obtained from questionnaires and measured using a Likert scale. The sampling technique used is purposive sampling. The sample used in this study was the Chairperson of the cooperative and the manager of the cooperative in the city of Palembang. The cooperatives studied were 203 cooperatives. The data analysis technique used is multiple linear regression test. The results showed that the role of cooperative leaders and managers had a significant positive effect on the preparation and application of SAK ETAP-based financial statements.Keywords : chairman, manager, SAK ETAP, cooperative

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

Predicting Optimal Cricket Team using Data Analysis

2021 ◽  
Author(s):  
Ranjana Jadhav ◽  
Bhargav Pawar ◽  
Nishant Bhat ◽  
Shyam Kawale ◽  
Abhijit Gawai
Keyword(s):  
Data Analysis ◽  
Using Data

scholarly journals A Fault Handling Process for Faults in District Heating Customer Installations

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3169
Author(s):  
Sara Månsson ◽  
Marcus Thern ◽  
Per-Olof Johansson Kallioniemi ◽  
Kerstin Sernhed
Keyword(s):  
Data Analysis ◽  
Fault Detection ◽  
Negative Impact ◽  
District Heating ◽  
Customer Data ◽  
Heating Systems ◽  
Fault Handling ◽  
District Heating Systems ◽  
High Return ◽  
Using Data

Faults in district heating (DH) customer installations cause high return temperatures, which have a negative impact on both current and future district heating systems. Thus, there is a need to detect and correct these faults soon after they occur to minimize their impact on the system. This paper, therefore, suggests a fault handling process for the detection and elimination of faults in DH customer installations. The fault handling process is based on customer data analysis since many faults manifest in customer data. The fault handling process was based on an analysis of the results from the previous fault handling studies, as well as conducting a workshop with experts from the DH industry. During the workshop, different organizational and technical challenges related to fault handling were discussed. The results include a presentation of how the utilities are currently working with fault handling. The results also present an analysis of different organizational aspects that would have to be improved to succeed in fault handling. The paper also includes a suggestion for how a fault handling process based on fault detection using data analysis may be designed. This process may be implemented by utilities in both current and future DH systems that interested in working more actively with faults in their customer installations.

scholarly journals Reproducible and accessible analysis of transposon insertion sequencing in Galaxy for qualitative essentiality analyses

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Delphine Larivière ◽  
Laura Wickham ◽  
Kenneth Keiler ◽  
Anton Nekrutenko ◽  
Keyword(s):  
Data Analysis ◽  
Promoter Sequence ◽  
Entire Genome ◽  
Link Type ◽  
Transposon Insertion ◽  
Control Procedures ◽  
Reproducible Analysis ◽  
Using Data ◽  
Transposon Insertion Sequencing ◽  
The Impact

Abstract Background Significant progress has been made in advancing and standardizing tools for human genomic and biomedical research. Yet, the field of next-generation sequencing (NGS) analysis for microorganisms (including multiple pathogens) remains fragmented, lacks accessible and reusable tools, is hindered by local computational resource limitations, and does not offer widely accepted standards. One such “problem areas” is the analysis of Transposon Insertion Sequencing (TIS) data. TIS allows probing of almost the entire genome of a microorganism by introducing random insertions of transposon-derived constructs. The impact of the insertions on the survival and growth under specific conditions provides precise information about genes affecting specific phenotypic characteristics. A wide array of tools has been developed to analyze TIS data. Among the variety of options available, it is often difficult to identify which one can provide a reliable and reproducible analysis. Results Here we sought to understand the challenges and propose reliable practices for the analysis of TIS experiments. Using data from two recent TIS studies, we have developed a series of workflows that include multiple tools for data de-multiplexing, promoter sequence identification, transposon flank alignment, and read count repartition across the genome. Particular attention was paid to quality control procedures, such as determining the optimal tool parameters for the analysis and removal of contamination. Conclusions Our work provides an assessment of the currently available tools for TIS data analysis. It offers ready to use workflows that can be invoked by anyone in the world using our public Galaxy platform (https://usegalaxy.org). To lower the entry barriers, we have also developed interactive tutorials explaining details of TIS data analysis procedures at https://bit.ly/gxy-tis.

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