91Ó°ÊÓ

The authors of the paper "Popular Video Games: Quantifying the Presentation of Violence and its Context" (Journal of Broadcasting \& Electronic Media [2003]: \(58-76\) ) investigated the relationship between video game rating- suitable for everyone (E), suitable for 13 years of age and older (T), and suitable for 17 years of age and older (M) - and the number of violent interactions per minute of play. The sample of games examined consisted of 60 video games-the 20 most popular (by sales) for each of three game systems. The researchers concluded that video games rated for older children had significantly more violent interactions per minute than did those games rated for more general audiences. a. Do you think that the sample of 60 games was selected in a way that makes it reasonable to think it is representative of the population of all video games? b. Is it reasonable to generalize the researchers' conclusion to all video games? Explain why or why not.

Step by step solution

01

Analyzing the Selection process

Consider the selection of 60 video games. They were chosen based on being the most popular ones by sales for each of the three game systems. It can be observed that the selection was not random but rather based on sales popularity. Therefore, it can be argued that the results may be biased toward the preferences of buyers who contribute the most to the video games sales.

02

Understanding the Variety of Games

In order to be representative, the sample should comprise a broad variety of games, not just those that are most popular. This collection, however, consists solely of highly purchased games and therefore it might not represent accurately games which are lesser-known or have fewer sales.

03

Generalizing the Results

Examine whether it is reasonable to extend the research findings to all video games. Given the sample's limitations, it may not be entirely reasonable to generalize the findings. While there might be a pattern indicating that games rated for older children have more violent interactions, this might not hold true for all video games since the sample only looked at popular games from three systems. For a more comprehensive conclusion, studies across a wider range of games, not just popular ones, would be beneficial.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Sample Selection

When conducting research, choosing how to select your sample is one of the most important decisions. The sample of 60 video games in this study was not randomly selected.
Instead, it consisted of the 20 most popular games by sales from three major systems. This means the sample was biased towards what consumers were buying the most.

To have a more representative sample:

• Include a wider diversity of game titles, not just the popular ones.
• Select games across various genres and publishers.
• Use random selection methods to capture the broader market.

Only then could the researchers claim that their findings accurately reflect the entire video game population.

Generalization

Generalization means extending the findings from your sample to the whole population. In this case, it would mean taking conclusions about all video games based on this selected sample of 60.
However, caution is needed since the sample only reflects the most popular games.

For effective generalization, you should:

• Start with a representative sample.
• Ensure the findings apply to various types and categories within the population.
• Conduct further studies to see if the patterns observable in the sample hold true for the rest of the games.

In summary, while some findings in this research might hint at broader trends, the limited selection restricts their applicability to all video games.

Bias in Research

Bias in research can skew results and lead to inaccurate conclusions. In the study on video games, bias was introduced through non-random sample selection.
This happens when influencing factors, such as a game's popularity, are highlighted more than others.

To minimize bias:

• Use random sampling techniques to improve fairness.
• Seek to include various voices and perspectives that may be underrepresented.
• Acknowledge and account for any potential skew in analysis and conclusion.

Recognizing bias enables researchers to mitigate its effects, ensuring that their findings are as accurate and generalizable as possible.