Findings
The following findings are drawn from inferential statistical results and the Kilmann-Saxton interpretation in the four categories of culture-gap labeled (Task Support, Task Innovation, Social Relationship, and Personal Freedom):Hypothesis 1
Hypothesis 1 stated that Municipal organizations in their early birth (under 10 years of age) exhibit significantly more growth in revenue and population from year to year than municipal organizations that are in their growth stage (over 10 years of age) and their mature stage (over 20 years of age.)
A one-way analysis of variance (ANOVA) compared the mean of population increase from year to year, as shown in table 2. Small significance values (<.05) indicate group differences. In table 1, the values of population increase during 1991-1992, 1996-1997 and 1997-1998 have a significance level less than the alpha of .05.The test of data during 1991-1992 exhibited a statistically significant difference between the age of groups and their population increase, as seen in the computed F (2, 42) of 3.67 compared to the critical value of 3.22 at an alpha of.05 (Jaccard 1997, 589), and P value of .034. The test data during 1996-1997 also exhibited statistically significant differences between the age of groups and their population increase, as seen in the computed F (2, 42) of 5.62 compared to the critical value of 3.22 at an alpha of.05 (Jaccard 1997, 589), and P value of .007. The test of data during 1997-1998 also exhibited statistical significance between the age of groups and their population increase as seen in the computed F (2, 42) of 3.46 compared to the critical value if 3.22 at an alpha of .05 (Jaccard 1997, 589), and P value of .041 is the borderline.
A Post Hoc Test was run to examine which groups of cities have statistical significantly different from each other.Table 2 shows the results of the Post Hoc Test. During 1991-1992, population increases in younger cities were significantly different from mature cities. During 1996-1997, population increases in younger cities were significantly different from both growing cities and mature cities. During 1997-1998, population increases in younger cities were not found to be significantly different between younger cities, growing cities and mature cities. There were two out of nine year data that the younger cities have statistically significant differences in population from growing cities and mature cities.
A one-way analysis of variance (ANOVA) also compared the mean of revenue increase from year to year, as shown in table 3The test of data comparing percentage of revenue increases showed only one year, 1990-1991, that exhibited a statistically significant difference between the age ofgroups and their revenue increase, as seen in the computed F (2, 42) of 3.08 compared to the critical value of 3.22 at an alpha of.05 (Jaccard 1997, 589), and P value of .05.
A Post Hoc Test was run to examine which groups of cities have statistical significantly different from each other. The results did not find any a statistically significant difference in the mean scores between any of the three groups.
Finally, A one-way analysis of variance (ANOVA) compared the aggregate average means scores of population and revenue over the entire nine years period, 1991 to1998, as shown in table 5. Small significance values (<.05) indicate group differences.
The results of the analysis are presented in a one-way analysis of variance (ANOVA) compared the mean of revenue increase from year to year, as shown in tables 4.In table 5, the test of data does not exhibit a statistically significant difference between the groups of
young cities, growing cities, and mature cities in neither population nor revenue, as seen in the computed F (2, 42) of 2.082, and 2.269, compared to the critical value of 3.22 at an alpha of.05 (Jaccard 1997, 589), and P value of .05.
The null hypothesis of no difference cannot be rejected and the study hypothesis 1 is not supported meaning that the municipal organizations in their early birth (under 10 years of age) do not exhibit significantly more growth in revenue and population from year to year than municipal organizations that are in their growth stage (over 10 years of age) and their mature stage (over 20 years of age.) Thus, there was no evidence found in this analysis of the theorized life cycle within municipalities of different ages.
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