The purpose of this research was to examine the influence of police organizational culture on officers' perception of integrity in the Turkish National Police (TNP). Adopting an organizational rather than an individualistic perspective, this study focused on police organizational culture to investigate the causes of integrity problems in the TNP. While focusing on police organizational culture, this study also aimed to determine to what extent officers' perceptions of integrity are influenced by personal and occupational attributes such as age, gender, rank, income, educational level, years of employment, and assignment type. The research was conducted in Turkey's two largest cities, Istanbul and Ankara, as well as the largest city of southeastern Turkey, Diyarbakir. Three hundred officers, consisting of 200 regular police officers and 100 ranked officers, were selected from each city, making a sample size of 900 in total. With a total of 507 respondents, after eliminating cases with missing values, the study achieved a 57% response rate. Structural equation modeling was used to test the hypothesized relationships, since it is the most appropriate statistical method for testing hypotheses based on relations among latent and observed variables. This method enabled the researcher to measure the perception of police integrity and the perception of police organizational culture with their multiple indicators, providing rigorous measurements for both constructs. The results of the statistical analysis supported the research hypothesis. The findings showed that officers' perception of police organizational culture negatively influenced their perception of integrity. It was also found that officers' age and educational level also had a statistically significant influence on their perception of integrity.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-4777 |
| Date | 01 January 2008 |
| Creators | Kucukuysal, Bahadir |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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