SPSS Homework Chi Square Tests Assignment_NGold

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355

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Psychology

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May 12, 2024

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docx

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PSYC 355 SPSS H OMEWORK : C HI S QUARE T ESTS A SSIGNMENT 1 Less likely to re-offend 17 2 No more or less likely to re-offend 6 3 More likely to re-offend 12 1. Paste SPSS output. (10 pts) Descriptive Statistics N Mean Std. Deviation Minimum Maximum Frequency NRG 35 13.40 4.103 6 17 Frequency NRG Observed N Expected N Residual 6 6 11.7 -5.7 12 12 11.7 .3 17 17 11.7 5.3 Total 35 Test Statistics Frequency NRG Chi-Square 5.200 a df 2 Asymp. Sig. .074 Problem Set 1: Chi Square Test of Goodness of Fit Research Scenario: A social psychologist is curious about people’s judgments concerning the likelihood that prisoners will re-offend given certain information about the prisoners. He provides volunteers with information concerning hypothetical prisoners, then asks if they believe the prisoner is less likely, no more or less likely, or more likely to re-offend. He records these frequencies in the table below. Using this table, enter the data into a new SPSS data file and run a Chi Square Test of Goodness of Fit to test whether the proportions are equal across categories. Remember to weight cases as shown in the presentation. Create a simple bar chart to show the relationship between the variables. Remember to put your initials within any and all variable names. Follow the directions below the table to complete the homework.
PSYC 355 a. 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 11.7. 2. Write an APA-style Results section based on your analysis. Include your bar chart as an APA-style Figure as demonstrated in the APA writing presentation. (Results = 12 pts; Figure = 8 pts) Results A chi square test for goodness of fit was computed to determine whether the number of prisoners who will re-offend is distributed evenly across three categories (less likely, no more or less likely, and more likely) The results are not significant, X 2 ( 2 ,n 35 ) = 5.2 , p = .074 . We fail to reject the null hypothesis that the proportion of prisoners is equal in each category. The observed values (6, 12, and 17, respectively) are very similar to the expected value of 11.7 in each category. Figure 1 Number of Prisoners Within Each Re-Offend Category
PSYC 355 1 Support term limits 84 2 Do not support term limits 25 3 Not sure 11 1. Paste SPSS output. (10 pts) Descriptive Statistics N Mean Std. Deviation Minimum Maximum Option Frequency NRG 120 65.02 29.334 11 84 Option Frequency NRG Observed N Expected N Residual 11 11 40.0 -29.0 25 25 40.0 -15.0 84 84 40.0 44.0 Total 120 Test Statistics Option Frequency NRG Chi-Square 75.050 a df 2 Asymp. Sig. <.001 a. 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 40.0. Problem Set 2: Chi Square Test of Goodness of Fit Research Scenario: A political psychologist is studying public opinion in the United States regarding the possibility of term limits for US Senators and Representatives. He surveys 120 adults and asks them to choose one of three options: support term limits, do not support term limits, or not sure. He records the frequencies of answers in the table below. (Data are based on actual results of bipartisan US polls from various sources.) Using this table, enter the data into a new SPSS data file and run a Chi Square Test of Goodness of Fit to test whether the proportions are equal across categories. Remember to weight cases as shown in the presentation. Create a simple bar chart to show the relationship between the variables. Remember to put your initials within any and all variable names. Follow the directions below the table to complete the homework.
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