EDUC 812 WRITEUP: ANOVA WITH TUKEY TEMPLATE Username: Name Instructions: For this graded assignment, You will complete the writeup below after completing the corresponding tutorial to this assignment. You will delete figures and tables where appropriate and then insert correct figures and tables. Also delete and then insert correct answers where there is RED text. To begin, cut and paste the data set below into SPSS (or you can type in the data manually). Do not copy the header row when you paste into SPSS. Before carrying out the analysis in SPSS, you need to set up your data file correctly using the \"Variable View\" tab. Scenario: The purpose of this study was to see if there was a significant difference in job satisfaction among teachers (1), nurses (2), or psychologist (3). A job satisfaction survey was given to all participants. The possible range of scores was 0 to lOO with 100 being the highest job satisfaction and 0 being the lowest. Code Name Job Job Satisfaction 1 Williams 1 80 __ _ ___ _ _ _ 9 Madison 88 -_- 16 Elm 57 -_- _ NM MNM {JUN LOLA) LULAJLU EDUCSQ FINDINGS Overview The purpose of this study was to see if there was a significant difference in job satisfaction among teachers, nurses, or psychologist. The independent variable was type of job and the dependent variable was job satisfaction as measure by the Job Satisfaction Scale. A One-way Analysis of Variance (ANOVA) was used to test the hypothesis. This Findings Section includes the research question, null hypothesis, data screening, descriptive statistics, assumption testing, and results. Research Question RQ: Is there a significant difference between job satisfaction among teachers, nurses, or psychologist? Null Hypothesis Ho: There is no significant difference in job satisfaction among teachers, nurses, or psychologist. Data Screening Data screening was conducted on each group's dependent variable. The researcher sorted the data on each variable and scanned for inconsistencies. No data errors or inconsistencies were identified. Box and whiskers plots were used to detect outliers on each dependent variable. One extreme outlier was identified and removed from the nurses group. See Figure l for box and whisker plots. EDUC 812 Figure 1 Box and Whisker Plots 100 90 80 Satifaction 7D 60 50 Teachers Nurses Psychologist Descriptive Statistics Descriptive statistics were obtained on the dependent variable for each group. The sample consisted of 17 participants. Scores on the Job Satisfaction Scale range from 30 to 150. A high score of 150 is a high job satisfaction score on the Job Satisfaction Scale, whereas a low score of 30 means that the teacher had low job satisfaction. Descriptive statistics can be found in Table 1. EDUC 812 Table 1 + Descriptive Statisticsa Job Minimum Maximum Mean Std. Deviation Teachers Satisfaction a a Z 30 91 85.33 4.457 Valid N (listwise) Nurses Satisfaction 35 39 87.40 1.517 Valid N (listwise) Psychologist Satisfaction 56 66 60.33 4.227 a a Valid N (listwise) a. No statistics are computed for one or more split files because there are no valid cases. Assumption Testing Assumption of Normality The ANOVA requires that the assumption of normality be met. Normality was examined using Shapiro-Wilks. The assumption of normality was met. See Table 2 for Tests of Normality.EDUC 812 Table 2 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk Job Statistic df Sig. Statistic df Sig. Satisfaction Teachers 226 6 200* .891 322 Nurses 254 u .200* 914 492 Psychologist .210 6 200* 877 6 256 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction Assumption of Homogeneity of Variance The ANOVA requires that the assumption of homogeneity of variance be met. The assumption of homogeneity of variance was examined using the Levene's test. The assumption of homogeneity of variance was metot met where (p = . 07) . See Table 3 for Levene's test of Equality of Error Variance.EDUC 812 Table 3 + v ' Ibsto E ua o IhTorP'r' \"5 W Statistic dfl df2 Sig. Satisfaction Based on Mean 3.147 2 14 .074 Based on Median 1.678 2 14 .222 Based on Median and with 1.678 2 11.381 .230 adjusted git: Based on trimmed mean 3.087 2 14 .078 Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a. Dependent variable: Satisfaction b. Design: Intercept + Job Results An ANOVA was run to see if there was a difference among job satisfaction in teachers, nurses, or psychologist. The independent variable was type of job and the dependent variable was job satisfaction. The researcher rejected/failed to reject the null hypothesis at the 95% confidence level where g2, 14) = 92.83, p = .00. Partial eta square equaled (T121351?C = .930). The effect size was extremely large. There was a statistical difference in job satisfaction among teachers (M = 85.33, SD = 4.46), nurses (M: 87.40, SD = 1.52), and psychologists (M = 60.33, SD = 4.23) . See Table 4 for Tests of BetweenSubjects Effects. EDUC 812 Table 4 Tests of Between-Subjects Effects Dependent Variable: Satisfaction Type III Sum of Mean Partial Eta Source Squares df Square Sig. Squared Corrected 2623.898a 2 1311.949 92.827 <.001 model intercept job .930 error total corrected a. r squared=".930" because the researcher rejected null post hoc analysis was required. a tukey test performed to compare all possible pairs of group means among three professions. based on this it found that psychologist sd="4." had significantly lower satisfaction than teachers and nurses . see table for multiple comparisons.educ comparisons dependent variable: hsd confidence interval mean difference std. sig. bound upper observed means. term is square significant at .05 level>