Chi-Square Analysis of Conflict Resolution Styles and School Suspension Among Students Assignment #8

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SPSSAssignment #8Chi-SquareSPSS instructions:Chi-Square Test for Goodness of Fit:Open SPSSRememberthat SPSS assumesthat all the scoresin a row are fromthe sameparticipant. In the study presented in #1, there are 20 students, some of whomhave been suspended for misbehavior. The primary conflict-resolution style used byeach student is also entered. [Ignore the first variable in this analysis.]When you have entered the data for all 20 students, move to the Variable Viewwindowandchangethefirstvariablenameto“SUSPEND”andthesecondto“STYLE”. Set the number of decimals for both variables to zero.Click AnalyzeNon-Parametric TestsChi-SquareClick the variable “STYLE” and then the arrow next to the box labeled “Test VariableList” to indicate that the chi-square for goodness of fit should be conducted on theconflict-resolution style variable.Note that “All categories equal” is the default selection in the “Expected Values”box,whichmeansthatSPSSwillconductthegoodnessoffittestusingequalexpected frequencies for each of the four styles, in other words, SPSS will assumethat the proportions of students each style are equal.Click OK.Chi-Square Test for Independence:Open SPSSFor #2, you need to add the variable “SUSPEND” to the analysis. Remember that inthisproblem,weareinterestedinwhethertherewasanassociationbetweenconflict-resolution style and having been suspended from school for misbehavior.Since the analysis will involve two nominal variables, the appropriate test is a chi-square test for independence.Click AnalyzeDescriptive StatisticsCrosstabsSince“SUSPEND”isalreadyselected,clickthearrownexttotheboxlabeled“Rows.”Click the variable “STYLE” and click the arrow next to the box labeled “Columns.”Click “Statistics” and click the box labeled “Chi-Square.”Click Continue.Click “Cells” and click the box labeled “Expected.”Click Continue.Click OK.

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