ERIC Number: EJ1139306
Record Type: Journal
Publication Date: 2017-Apr
Abstractor: As Provided
Reference Count: 22
Quantitative Data Analysis--In the Graduate Curriculum
Albers, Michael J.
Journal of Technical Writing and Communication, v47 n2 p215-233 Apr 2017
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 as a tool to draw valid conclusions from the data. Three major pedagogical goals that must be taught as part of learning quantitative data analysis are the following: (a) determining what questions to ask during all phases of a data analysis, (b) recognizing how to judge the relevance of potential questions, and (c) deciding how to understand the deep-level relationships within the data.
Descriptors: Statistical Analysis, Data Analysis, College Curriculum, Graduate Study, Critical Thinking, Intervention, Educational Objectives
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A