Election forecasting using integrated method / Christopher A.D. Charles, Tracy-Ann Johnson-Myers.

Format:

Book

Author/Creator:

Charles, Christopher A. D., author.

Johnson-Myers, Tracy-Ann, author.

Series:

SAGE research methods cases.

SAGE research methods cases

Language:

English

Subjects (All):

Election forecasting--Jamaica.

Qualitative research--Jamaica.

Physical Description:

1 online resource : illustrations.

Place of Publication:

London : SAGE Publications, Ltd., 2022.

Summary:

This chapter discusses election forecasting using integrated methods to accurately predict the 2020 General Election in Jamaica. Integrated method is the strategic amalgamation of quantitative and qualitative data collection and processing to conduct research.There are two types of election forecasting, the use of pre-election polls and the use of statistical models. Polls are more popular compared to models so there is some skepticism about the accuracy of the latter in predicting elections, particularly in developing countries. Polls have received some harsh criticisms in recent years because some have been inaccurate. Despite some skepticism about statistical models and the criticism of polls, these two forecasting approaches complement each other. The three logistic regression models used to accurately forecast the 2020 General Election show that the state of the economy, the state of security, and the extent to which party leaders are accepted are very important to voters.

Contents:

Learning Outcomes

Project Overview and Context

Research Design

Research Practicalities

Method in Action

Practical Lessons Learned

Conclusions

Classroom Discussion Questions

Multiple Choice Quiz Questions

Further Reading

Web Resources

References.

Notes:

Description based on publisher supplied metadata and other sources.

Includes bibliographical references.

ISBN:

1-5296-0537-7

OCLC:

1303393528