Research Methods: Within Subjects Experimental Designs and Descriptive Statistics Discussion

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For each DQ elaborate within 250-300 words. Use only reference(s) link(s) provided.

DQ 1) Suppose that, for a t-test, your computed value for t is +3.28. The critical value of t is +2.048. Explain what this means. Do you reject the null hypothesis or not? Now suppose that you have 28 degrees of freedom and are using a two-tailed (nondirectional) test. Draw a simple figure to illustrate the relationship between the critical and the computed values of t for this result. 

DQ 2) Choose an article from the newspaper, an online source, or a magazine, then identify the descriptive statistics included in the article. Were the statistics appropriately described in the article? Explain. Discuss if the descriptive statistics used in your source supported the arguments made in it. Were the descriptive statistics misleading? Explain.

Reference Link(s)

Read Chapters 11 and 13 in Research Methods for the Behavioral Sciences.

URL:

https://www.gcumedia.com/digital-resources/sage/2019/research-methods-for-the-behavioral-sciences_3e.php

Read "Testing the Item-Order Account of Design Effects Using the Production Effect," by Jonker, Levene, & MacLeod, from Journal of Experimental Psychology: Learning, Memory, and Cognition (2014).

URL:

https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2013-39427-001&site=ehost-live&scope=site

Read "Evaluating Order-Constrained Hypotheses for Circular Data From a Between-Within Subjects Design," by Baayen & Klugkist, from Psychological Methods (2014).

URL:

https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2014-29809-001&site=ehost-live&scope=site

Review "Bayesian Analysis of Factorial Designs," by Rouder et al., from Psychological Methods (2016).

URL:

https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2016-28700-001&site=ehost-live&scope=site

Read "Bias Corrections for Standardized Effect Size Estimates Used With Single-Subject Experimental Designs," by Ugille et al., from Journal of Experimental Education (2014).

URL:

https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2014-15678-004&site=ehost-live&scope=site

Read "Measuring the Variability of Data From Other Values in the Set," by Jones & Scariano, from Teaching Statistics (2014).

URL:

https://lopes.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2014-33730-011&site=ehost-live&scope=site