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\nVisit Below Link, To Download This Course:\n\nhttps://www.tutorialsservice.net/product/rsch-6210-week-5-discussion-latest-walden/\n\nOr \nEmail us on\nSUPPORT@TUTORIALSSERVICE.NET\n\nRSCH 6210 Week 5 Discussion Latest-Walden\nRSCH6210\nRSCH 6210 Week 5 DQ Latest-Walden\nStatistical Significance and Meaningfulness\nOnce you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap of chasing statistical significance. That is, you may be tempted always to look for relationships that are statistically significant and believe they are valuable solely because of their significance. Although statistical hypothesis testing does help you evaluate claims, it is important to understand the limitations of statistical significance and to interpret the results within the context of the research and its pragmatic, “real world” application.\n

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rsch 6210 week 5 discussion latest walden

RSCH 6210 WEEK 5 DISCUSSION LATEST-WALDEN

Visit Below Link, To Download This Course:

https://www.tutorialsservice.net/product/rsch-6210-week-5-discussion-latest-walden/

Or

Email us on

SUPPORT@TUTORIALSSERVICE.NET

RSCH 6210 Week 5 Discussion Latest-Walden

RSCH6210

RSCH 6210 Week 5 DQ Latest-Walden

Statistical Significance and Meaningfulness

Once you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap

of chasing statistical significance. That is, you may be tempted always to look for relationships that are

statistically significant and believe they are valuable solely because of their significance. Although

statistical hypothesis testing does help you evaluate claims, it is important to understand the limitations of

statistical significance and to interpret the results within the context of the research and its pragmatic,

“real world” application.

As a scholar-practitioner, it is important for you to understand that just because a hypothesis test

indicates a relationship exists between an intervention and an outcome, there is a difference between

groups, or there is a correlation between two constructs, it does not always provide a default measure for

its importance. Although relationships are significant, they can be very minute relationships, very small

differences, or very weak correlations. In the end, we need to ask whether the relationships or differences

observed are large enough that we should make some practical change in policy or practice.

For this Discussion, you will explore statistical significance and meaningfulness.

To prepare for this Discussion:

Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical

significance.

review magnusson s web blog found in the learning

Review Magnusson’s web blog found in the Learning Resources to further your visualization and

understanding of statistical power and significance testing. Review the American Statistical Association’s

press release and consider the misconceptions and misuse of p-values.

Consider the scenario:

A research paper claims a meaningful contribution to the literature based on finding statistically significant

relationships between predictor and response variables. In the footnotes, you see the following statement,

“given this research was exploratory in nature, traditional levels of significance to reject the null

hypotheses were relaxed to the .10 level.”

By Day 3

Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer,

what response would you provide to the authors about this footnote?

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

Respond to at least one of your colleagues’ posts and explain the benefits and consequences of the

“relaxed” level of significance.

Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit

button to post your message.

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