Visit Below Link, To Download This Course:\n\nhttps://www.tutorialsservice.net/product/rsch-6210-week-1-discussion-latest-walden/\n\nOr \nEmail us on\nSUPPORT@TUTORIALSSERVICE.NET\n\nRSCH 6210 Week 1 Discussion Latest-Walden\nRSCH6210\nRSCH 6210 Week 1 DQ Latest-Walden\nThe Logic of Inference: The Science of Uncertainty\nDescribing and explaining social phenomena is a complex task. Box’s quote speaks to the point that it is a near impossible undertaking to fully explain such systems—physical or social—using a set of models. Yet even though these models contain some error, the models nevertheless assist with illuminating how the world works and advancing social change.\n
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RSCH 6210 Week 1 Discussion Latest-Walden
RSCH 6210 Week 1 DQ Latest-Walden
The Logic of Inference: The Science of Uncertainty
Describing and explaining social phenomena is a complex task. Box’s quote speaks to the point that it is
a near impossible undertaking to fully explain such systems—physical or social—using a set of models.
Yet even though these models contain some error, the models nevertheless assist with illuminating how
the world works and advancing social change.
The competent quantitative researcher understands the balance between making statements related to
theoretical understanding of relationships and recognizing that our social systems are of such complexity
that we will always have some error. The key, for the rigorous researcher, is recognizing and mitigating
the error as much as possible.
As a graduate student and consumer of research, you must recognize the error that might be present
within your research and the research of others.
To prepare for this Discussion:
Use the Walden Library Course Guide and Assignment Help found in this week’s Learning Resources to
search for and select a quantitative article that interests you and that has social change implications.
As you read the article, reflect on George Box’s quote in the introduction for this Discussion.
For additional support, review the Skill Builder: Independent and Dependent Variables, which you can find
by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the
left navigation pane.
By Day 3
Post a very brief description (1–3 sentences) of the article you found and address the following:
Describe how you think the research in the article is useful (e.g., what population is it helping? What
problem is it solving?).
Using Y=f(X) +E notation, identify the independent and dependent variables.
How might the research models presented be wrong? What types of error might be present in the
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources
and other scholarly evidence in APA Style.
By Day 5
Remembering that all research has some error, respond to at least one colleague’s post and comment on
how we as social change agents and critical consumers of research can balance the usefulness with the
error in the research. Do we throw the research out because of too much error, or is there something
useful that it can tell us?
Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit
button to post your message.