spss, apa – Assignments Help Online | savvyessaywriters.org

spss, apa – Assignments Help Online | savvyessaywriters.org

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A clinical psychologist would like to determine whether there is a relationship between observer ratings of children’s externalizing behaviors and scores on an established diagnostic interview assessing externalizing disorders (like ADHD, CD, etc.). He administers the diagnostic interview to 28 children and records these scores. He then trains an observer to independently rate carefully-defined externalizing behaviors for each of the 28 children. These scores are totaled for an overall “externalizing behavior index.” On both the interview and the behavioral ratings, a higher score indicates higher levels of externalizing behavior. These scores are listed in the table below.  Conduct a Pearson correlation coefficient analysis to determine whether there is a relationship between the interview scores and behavioral ratings for this group of children.The steps will be the same as the ones you have been practicing in Part One of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data.Interview (Range 0 to 9)Externalizing Behavior Index (Range 0 to 25)3729469227206124108935472513616819721722142737335138197164123961851439a)     SPSS output (2 pts)b)     Create a simple scatterplot of the relationship between these variables (define interview scores as the x-axis and behavioral ratings as the y-axis).  (2)c)     Write a current APA-style Results section based on your analyses. All homework “Results sections” must follow the example given in the SPSS tutorials and the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. For a correlation analysis, also be sure to include the direction of the relationship between the variables (positive? negative? none?) in your section.  (2)

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