Dissertation com apr 2011 (2 résultats)
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 54,67
EUR 62,27 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : Neu. Neuware - This study examined the perceptions of officers with colleagues who perpetrate acts of domestic violence. This was a qualitative research design from a phenomenological perspective. The data was gathered by the use of face-to-face interviews using open-ended questions. The data was analyzed by…the use of bracketing, horizonalization, clusters of meanings, textural and structural descriptions, and the invariant structure of the phenomena described by the study participants. Upon completion of the 30 interviews, the audio tapes were all transcribed, and loaded in to Atlas Ti for the purpose of coding the data for the major themes. A constant comparison method was used to analyze the data to help identify the similarities and differences between the study participants' perceptions with the phenomena. The five qualitative questions each depict a different area of experience with the phenomenon, to create a holistic picture of the perceptions of the thirty participants. The findings suggest that for some officers, the inability to separate their police role from their civilian role may be a factor in the perpetration of domestic violence by law enforcement officers. The findings also suggest that social workers may be able to play an important role in the remediation of the problem of domestic violence for those within and outside police social work settings.
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 68,90
EUR 63,65 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : Neu. Neuware - Amidst the dramatic real estate fluctuations in the first decade of the twenty-first century, this study recognized that there is a necessity to create a real estate prediction model for future real estate ventures and prevention of losses such as the mortgage meltdown and housing bust. This re…al estate prediction model study sought to reinstall the integrity into the American building and development industry, which was tarnished by the sudden emergence of various publications offering get-rich-quick schemes.In the fast-paced and competitive world of lending and real estate development, it is becoming more complex to combine current and evolving factors into a profitable business model. This prediction model correlated past real estate cycle pinpoints to economical driving forces in order to create an ongoing formula. The study used a descriptive, secondary interpretation of raw data already available. Quarterly data was taken from the study's seven independent variables over a 24-year span from 1985 to 2009 to examine the correlation over two real estate cycles. Public information from 97 quarters (1985-2009) was also gathered on seven topics: consumer confidence, loan origination volume, construction employment statistics, migration, GDP, inflation, and interest rates. The Null hypothesis underwent a test of variance at a .05 level of significance. Multiple regression analysis uncovered that four of seven variables have correlated and could predict movement in real estate cycle evidence from previous data, based in the Inland Empire. GDP, interest rates, loan origination volume, and inflation were the four economical driving variables that completed the Inland Empire's real estate prediction model and global test.Findings from this study certify that there is correlation between economical driving factors and the real estate cycle. These correlations illustrate patterns and trends, which can become a prediction model using statistics. By interpreting and examining the data, this study believes that the prediction model is best utilized through pinpointing an exact numerical location by running calculations through the established global equation, and recommends further research and regular update of quarterly trends and movements in the real estate cycle and specific variables in the formula.
