Weekly Reading Debrief

Task: For this discussion post, you will reflect on our reading from this week and share your own own perspective on gaming articles.

Audience: Your peers in English 102

Purpose: To share your main takeaways from our reading this week and your experiences with the reading.

Requirements to earn a Complete grade: Answer all of the reflection questions in the prompt in your own words. Please also like two posts by peers that you find interesting or engaging. As always, everything in your post must be in your own words unless you are using a quotation from one of the readings.

Here is the links to the readings for the week, this is the person ordering the assignment posting these reading links (Steven Anderson)

https://amt-lab.org/blog/2019/10/gender-amp-ethnic-diversity-in-video-games-exploring-core-games-inclusivity-problem

https://docs.google.com/document/d/1uan5mKGvwuPZl4lGcVodFsMvqCZ5Ur5Sfvi7kFsalSM/edit?usp=sharing

https://annenberg.usc.edu/news/expert-view/skateboardings-inclusion-tokyo-2020-once-marginalized-subculture-enters-spotlight

Please answer the following questions:

• What were your impressions of the reading we did this week?
• What rhetorical features stood out to you from the reading? What choices did the authors make that you thought were effective and/or ineffective?
• What kinds of articles about games would you like to read in the future? What other topics about games are you interested in?
• How will this reading help you to approach your Game Project for English 102?

This is the person writing that ordered the Reflection Assignment. Here is someone else’s response to the questions, just so you have an idea what I am looking for. I originally wrote that my favorite game is Poker (Texas hold-em), just wanted to let you know so you might be able to incorporate that in this assignment. Here is the example

My impressions of the reading this week is that most were a little confusing at first but then showed indepth of what they fully meant. I found it interesting because I never really read about games and it gave me some help when wanting to create my own game. A rhetorical feature that stood out to me from the reading is when the author spoke about black lives towards a game and the differences during covid 19. And they started adding more black players into the game which showed diversity in the game and applies to a bigger audience. The choice of the author to speak on the new information that people are learning shows that it’s good and gives people a better understanding when someone says “black lives matter”.

Other game topics I would like to read in the future are maybe on how the creator feels about their game and why they created the game or even communicate where they got their ideas on the game. I’m interested in maybe a topic about mario bros since i play it all the time with my boyfriend or brothers. This reading will help me because it gives me ideas for a game, and techniques on how to write it without someone knowing how to play it without even knowing what the game is.

Module 6 Overview: This module focuses on the analysis and interpretation phase of research. We begin with data management strategies and software. Then we explore quantitative data and inferential analysis. Topics covered include processing data, analysis of variance, and data cleaning. Missing data, regression analysis, and structured and semi-structured analysis are also covered.

Data management is an interim step between data collection and data analysis. Proactive data management can help you detect potential problems when they can still be corrected. It also allows for the preliminary analyses that are often required, either for reports or for data and safety monitoring. Beginning researchers are likely to need guidance from expert researchers, software tech support, tutorials, and manuals as well as their consultant statistician when setting up all but the simplest databases, but these tasks become much easier with practice.

The basic data cleanup, replacement of missing data, visual representations, descriptive statistics, and bivariate association statistics described in this chapter are useful in the analysis of virtually every nursing research study. For some studies, the analysis is complete after accomplishing these basic steps. For other, more complex studies, it is necessary to continue with the more advanced analytic techniques such as inferential analysis. Whether the analysis is basic or advanced, you will want to have a good statistics textbook, a guide to whatever statistical analysis software you are using, and guidance from an expert researcher and/or statistician to help you complete your quantitative data analysis correctly.

The most structured approach to the analysis of qualitative data uses coding and quantifying of the qualitative data. Content analysis is a specific case of the quantification of qualitative data. At the other end of the continuum are three of the great traditions in qualitative research: ethnography, grounded theory, and phenomenological analysis. In between lie a variety of coding and thematizing analyses that operate within a semi-structured and unstructured framework. Each of these reflects a very different tradition, which needs to be kept in mind as you match your data to the appropriate analytic framework. Data collection and data analysis may occur virtually simultaneously in the most unstructured of these approaches, while the more structured analyses are done after the data has been collected and processed.

Discussion Question:

Discuss the focus of ethnographic analysis. How do you plan to account for such issues as bias, subjectivity, and objectivity in order to provide a quality and ethical ethnographic analysis? Give a few examples.

Your initial posting should be 250 to 350 words in length and utilize at least one scholarly source other than the textbook.