2017
DOI: 10.1177/0047281617692067
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Quantitative Data Analysis—In the Graduate Curriculum

Abstract: A quantitative research study collects numerical data that must be analyzed to help draw the study’s conclusions. Teaching quantitative data analysis is not teaching number crunching, but teaching a way of critical thinking for how to analyze the data. The goal of data analysis is to reveal the underlying patterns, trends, and relationships of a study’s contextual situation. Learning data analysis is not learning how to use statistical tests to crunch numbers but is, instead, how to use those statistical tests… Show more

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Cited by 41 publications
(37 citation statements)
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“…The research method used is quantitative research methods. Quantitative research analyzes data in numerical form to determine conclusions (Albers, 2017). The main objective of quantitative research is to construct accurate and reliable calculations that allow for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The research method used is quantitative research methods. Quantitative research analyzes data in numerical form to determine conclusions (Albers, 2017). The main objective of quantitative research is to construct accurate and reliable calculations that allow for statistical analysis.…”
Section: Methodsmentioning
confidence: 99%
“…In recent years, there have been some methods to analyze and forecast financial data combined with computer technology. Among them, the financial forecasting technology based on deep learning has developed rapidly, such as the financial forecasting method based on the coupling of genetic algorithm and neural network and generalized regression neural network [8,9]. With the continuous research of deep learning algorithm, convolutional neural network, deep trust network, and stack self-coding network are widely used in computer vision and other aspects of modeling and get very good prediction results.…”
Section: Introductionmentioning
confidence: 99%
“…Technical and professional communication (TPC) scholars are increasingly producing scholarship that seeks to enhance research in the field. Within this context, scholars have discussed the research relationship between practitioners and the academic field (e.g., Blakeslee & Spilka, 2004; St.Amant & Melonçon, 2016b); methods of empirical research (e.g., Boettger & Lam, 2013; Melonçon & St.Amant, 2019); need to look critically at the field from differing perspectives (e.g., Albers, 2017; Blakeslee, 2009; Carliner, Coppola, Grady, & Hayhoe, 2011; Selber, 2004); ways in which members of the field are trained to do research (e.g., Albers, 2017; Campbell, 2000; Cook & Rickly, 2017); and call for new research methodologies or approaches (e.g., Frost, 2016; Melonçon & Scott, 2018; Petersen & Walton, 2018). …”
mentioning
confidence: 99%
“…need to look critically at the field from differing perspectives (e.g., Albers, 2017; Blakeslee, 2009; Carliner, Coppola, Grady, & Hayhoe, 2011; Selber, 2004);…”
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confidence: 99%
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