Review of Basic Statistical Analysis.

1982 ◽  
Vol 27 (11) ◽  
pp. 908-908
Author(s):  
William L. Hays
Keyword(s):  
Statistical Analysis ◽  
Basic Statistical Analysis

Setting Up and Running a Q-Methodology Study in an Online Survey Research Suite

2022 ◽  
pp. 417-451
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Statistical Analysis ◽  
Survey Research ◽  
Quantitative Data ◽  
Q Methodology ◽  
Online Survey ◽  
Analysis Tool ◽  
Q Method ◽  
Statistical Analysis Tool ◽  
Q Sort ◽  
Basic Statistical Analysis

The q-method, as a graphic (visual) elicitation, has existed since the mid-1930s. Setting up a q-method, with q-sort capabilities, in an online survey platform, extends the reach of this method, even as data has to be processed in a quantitative data analytics suite. This chapter describes the setting up of a visual q-sort and the related debriefing on the Qualtrics Research Suite. The available data may be extracted and analyzed in a basic statistical analysis tool for factors and preference clusters.

BASIC STATISTICAL ANALYSIS

2012 ◽  
pp. 397-420
Author(s):  
Paul S. Gray ◽  
John B. Williamson ◽  
David A. Karp ◽  
John R. Dalphin
Keyword(s):  
Statistical Analysis ◽  
Basic Statistical Analysis

scholarly journals Influence of some specific meteorological events on indoor radon dynamic in western Switzerland

2021 ◽  
Vol 2042 (1) ◽  
pp. 012138
Author(s):  
J Rey ◽  
S Goyette ◽  
M Palacios ◽  
F Barazza ◽  
M Gandolla ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Indoor Radon ◽  
Indoor Environments ◽  
Outdoor Air ◽  
Indoor Radon Concentration ◽  
Weather Events ◽  
The World ◽  
Basic Statistical Analysis

Abstract Radon is a natural radioactive gas that may cumulate in indoor environments. The impacts of weather events on indoor radon concentration had been explored in different places around the world but only marginally in Switzerland. Using basic statistical analysis, this study investigates different meteorological parameters’ influence on indoor radon concentrations and shows that outdoor air temperature is the most influential beyond others. Finally, this paper highlights the importance of radon dynamic in buildings, a topic often overlooked by construction professionals and the broader public in Switzerland.

scholarly journals The Shemita Effect, How a Jewish agricultural law prompted fear for Evangelical investors: Confirmation Bias and Bandwagoning in Action

2017 ◽  
Vol 9 (2) ◽  
pp. 96
Author(s):  
Daria J. Newfeld
Keyword(s):  
United States ◽  
Statistical Analysis ◽  
Stock Market ◽  
Confirmation Bias ◽  
The United States ◽  
Investment Company ◽  
Stock Market Crash ◽  
Evangelical Christian ◽  
Conservative Christian ◽  
Basic Statistical Analysis

This paper examines how Shemita, a Jewish agricultural law only applicable in Israel came to be viewed by Evangelical Christian Investors as a signal of a potential stock market crash in September, 2015 purportedly as a consequence of G-d’s displeasure with the United States. In 2014 Johnathan Cahn, a popular Evangelical preacher, published “The Shemita Effect” which claimed that the seven year Shemita cycle mirrored stock market patterns over the last 50 years and suggested an impending crash. This theory was quickly taken up by conservative Christian Evangelical media and at least one man was convinced enough to start an entire investment company based on it despite the fact that it is easily disproven using basic statistical analysis of freely available data. This bizarre incident illustrates confirmation bias and bandwagoning effects in action, amplified with religious fervor.

Setting Up and Running a Q-Methodology Study in an Online Survey Research Suite

2019 ◽  
pp. 103-146
Keyword(s):  
Statistical Analysis ◽  
Survey Research ◽  
Quantitative Data ◽  
Q Methodology ◽  
Online Survey ◽  
Analysis Tool ◽  
Q Method ◽  
Statistical Analysis Tool ◽  
Q Sort ◽  
Basic Statistical Analysis

The q-method, as a graphic (visual) elicitation, has existed since the mid-1930s. Setting up a q-method, with q-sort capabilities, in an online survey platform, extends the reach of this method, even as data has to be processed in a quantitative data analytics suite. This chapter describes the setting up of a visual q-sort and the related debriefing on the Qualtrics Research Suite. The available data may be extracted and analyzed in a basic statistical analysis tool for factors and preference clusters.

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