A multinomial logit analysis of post-conflict justice mechanisms : publishing with undergraduate co-authors / Steve B. Lem.

Format:

Book

Author/Creator:

Lem, Steve B., author.

Series:

SAGE Research Methods. Cases.

SAGE Research Methods. Cases

Language:

English

Subjects (All):

Restorative justice--Case studies.

Restorative justice.

Lex talionis--Case studies.

Lex talionis.

Logistic regression analysis.

Physical Description:

1 online resource : illustrations.

Place of Publication:

London : SAGE Publications Ltd, 2019.

Summary:

Publishing quantitative research with undergraduate students presents unique challenges and opportunities. In this case study, I discuss how a team of students and I worked together to develop a research question on post-conflict justice mechanisms in the aftermath of civil war. Then, I highlight some of the data and methodological challenges we encountered along the way. In particular, the case study looks at the complexity of analyzing six types of post-conflict justic??truth commissions, trials, amnesty, reparations, purges, and exile?in a single analysis. Given that 64 post-conflict justice combinations are possible, our biggest challenge was to collapse the data down to a statistically and substantively meaningful number of outcomes. We accomplished this by recoding our six types into two categories: restorative justice and retributive justice. Combined with the absence of a post-conflict justice, we analyzed our outcomes using a multinomial logistic regression model. We also explored a linear combination in an ordinal logistic regression model. Last, I discuss other data reduction techniques, including principal components analysis and factor analysis.

Notes:

Includes bibliographical references and index.

Description based on XML content.

ISBN:

1-5264-7552-9

9781526475527

OCLC:

1084514396