Content-analysis Research

The most recent paper I have read is “Why STEM Learning Communities Work: The Development of Psychosocial Learning Factors Through Social Interaction”.

STEM learning communities help students to succeed academically and persistence in science disciplines. Learning Communities are organized academic communities focused on a theme relevant to students including academic interests, major, and/or student characteristics.

The aim of the study described in this paper was to “explore the underlying factors that make these communities successful mechanisms for increasing student academic performance and committment to STEM careers”.

This paper describes a detailed process of content analysis which I can refer to as II now go about reviewing the analysis of my ten coderdojo interviews. This paper describes the process of starting the analysis process with 12 codes and it analysed the text using these codes. The researchers highlighted interesting or relevant excerpts in the narratives and they attached relevant codes to each excerpt and most codes appeared more than once. They then reduced the 12 codes to 6, deleting the codes that were less than 10% of the total code applications. They also went through the data that wasn’t already highlighted but no new codes were added. The remaining codes were then categorised into two groups.  Finally the paper discussed each code occurance, providing evidence from the narratives to back it up and it discussed the code co-occurances which were the codes that partially or fully over-lapped.

Next week, I will further develop my interview transcripts using this process. The codes I will use are Wenger’s 7 principes for maintaining a COP.

Reference: 

Carrino, S. S., & Gerace, W. J. (2016). Why STEM Learning Communities Work : The Development of Psychosocial Learning Factors Through Social Interaction Why STEM Learning Communities Work : The Development of, 4(1).

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