
Title

Analysis of Dichotomous Outcomes: A Case Study of Constituency Characteristics' Data in the 2006 General Elections in Uganda,Used
Delivery time: 8-12 business days (International)
What influence do demographic, socioeconomic and political characteristics of Constituencies have in influencing the results of an election? To answer this question, the HosmerLemeshow logistic regression technique for stepwise analysis of dichotomous outcomes was used on election statistics of 2006 and data from surveys carried out in Uganda. Participation of the Constituency voters, their average monthly per Capita incomes and political party dominance characterising a Constituency were found to be reliable, statistically for the restricted model , in correctly predicting 70% of the data. The results would imply, for strategists in multiparty systems, that political and coalition actors could optimise their decisions or vote chances by articulating alternative policy matters in their campaign agenda. Unobservable income and other forms of inducements or coercion on which data are seldom collected or lacking may influence outcomes of polls. These could provide room for future studies.
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.