You are drafting a response to another students discussion post. Here are the instructions for replying:
Review a students response to D3.4, D3.5 and D3.6 Summarize their findings and indicate areas of agreement, disagreement and improvement. Support your views with citations and include a reference section.
Here is the students post you are replying to:
D4.1.a Interpreting Reliability.
As noted by Morgan et al. (2013), there are several methods to compute interrater reliability. One way that can be used is Cohen kappa. Cohens kappa assesses the interobserver agreement when the data is nominal or unordered categories (Morgan et al., 2013). When reviewing the Paired Samples Statistics table, we can see that the visualization test and visualization test are not significantly different. The Paired Samples Statistics table tells us that the Mean of the visualization test is 5.2433, and visualization 2 is 5.1067. Because the scores are similar, we can state positive interrater reliability between the two test scores.
The paired Samples Statistics (t-test) determines this by looking at the Mean. The second table, Paired Sample Correlations, indicates there were 75 responses with no errors. The correlation is well over .7 (.938 for Pair 1 visualization test & visualization2) and can be considered reliable. The paired sample correlation tells you the extent to which two raters rate the same person similarly.
D4.1.c Another Reason for the Pattern of Findings Outside of Chapter 7
The Paired Samples Test shows a significance level of .388 for the Means of the two raters on the visualization test, which are not significantly different.
D4.2 Interpreting Validity.
The Rotated Factor Matrix table for Output 7.3 indicates that item09 would be considered for deletion. Item09 has a weighted factor of .332. Morgan et al. (2013, p.124) explain that the requested loading value should be less than |.30| (|.30| loading value means the absolute value or the value without considering the sign, p. 124).
D4.3 Interpreting Internal Consistency.
Output 7.4a Reliability Statistics table tells us that the alpha is .856. The alpha is greater than .7 and means that there is adequate internal consistency. Output 7.4b alpha is .798 for the revised motivation scale, which again is greater than .7 and shows that there is adequate internal consistency. Output 7.4c pleasure scale alpha is .688, which tells us that there is minimally adequate reliability because it is below the alpha .7.
References
Morgan, G. A., Leech, N. L., Gloeckner, G. W., & Barrett, K. C. (2013). IBM SPSS for Introductory Statistics: Use and Interpretation (5th ed.). Routledge.
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