Quantitative research methods assigment 5 mothers

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QUANTITATIVE RESEARCH METHODS - ASSIGMENT 5 mother’s education and father’s education were ordered variables and ordinal data. Cramer’s V (and phi) was compared to Kendall’s tau-b. The Results show that to investigate the relationship between the father’s and mother’s education, Kendall’s tau-b was conducted. The analysis indi cated a statistically significant positive association between father’s and mother’s education, tau (71) = .572. p < .001. This means that more highly educated fathers were married to more highly educated mothers and less educated fathers were married to less educated mothers. This tau is considered a large effect size (Morgan et al., 2013). A5.4: Chapter 8, Problem 8.4, Cross‐Tabulation and Eta A5.4.a. Narrative of the Process An important associational statistic, eta, is used when one variable is nominal and the other is approximately normal or scale. I will use this statistic to describe the association between gender and math courses taken. Crosstabs Table 11: Case Processing Summary Table 12: Math courses taken * Gender Crosstabulation 8 02/16/2020
QUANTITATIVE RESEARCH METHODS - ASSIGMENT 5 Table 13: Directional Measures A5.4.b. Interpretation of the Findings The interpretation indicates that the second table shows the actual Counts and the Expected Counts of the number of persons in each cell. When there are positive discrepancies between the actual and expected counts in the upper left (male) columns and negative discrepancies in the lower left columns or vice versa, it indicates that there is an association be tween the two variables. Because of the way the SPSS program computes eta, it ranges from zero to about +1.0. High values of eta indicate a strong association. For this problem, the appropriate eta is .328 because math courses taken is the dependent variable. It is a medium to large effect size. With 75 subjects, an eta of .33 probably would be statistically enough, but this program does not test it. Eta squared would be .11, indicating that the two variables share 11% common variance. You will see eta squared when interpreting the size of the “effect” in analysis of variance. Eta was used to investigate the strength of the association between gender and number of math courses taken (eta = .33). This is a medium to large effect size. Males were more likely to take several or all math courses than females (Morgan et al., 2013). A5.5, Application Problem ‐ Crosstabulation and Chi‐Square A5.5a Output 1: Gender and Martial Status A5.5.a.1. Narrative of the Process The process to follow for this problem is to open SPSS, then Analyze-Descriptive Statistics-Crosstabs. After that, move gender into Rows box and marital into Columns box. Click 9 02/16/2020
QUANTITATIVE RESEARCH METHODS - ASSIGMENT 5 on Statistics and check Chi-square, Phi and Cramer’s V, and click continue. In the cross-tab