Abstract

Using the Puerto Rican Maternal and Infant Health Study dataset (PRMIHS), the predictors of relationship status were examined via probit regression. The strongest predictors of relationship status found were interactions between binary variables for the age. A respondent first had sexual intercourse and for the age when a respondent first entered into a union (N = 1452). This paper concludes by arguing that the results provide support for viewing union status as being primarily dependent on the people involved in the union, as opposed to being primarily dependent on factors external to the people themselves.

Highlights

  • The predictors of relationship status are often viewed from an “external to the person” perspective instead of from the viewpoint that these predictors are often reflective of intrinsic qualities of the people in the relationship

  • The strongest predictors of relationship status found were interactions between binary variables for the age that a respondent first had sexual intercourse and for the age that a respondent first entered into a union (N = 1452)

  • This paper concludes by arguing that the results provide support for viewing union status as being primarily dependent on the people involved in the union instead of being primarily dependent on factors external to the people themselves

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Summary

Introduction

The predictors of relationship status are often viewed from an “external to the person” perspective instead of from the viewpoint that these predictors are often reflective of intrinsic qualities of the people in the relationship. While a relationship’s status is surely not entirely determined by qualities intrinsic to the people in that relationship, the results of this paper indicate that relationship status is best determined by examining the actual people in a relationship

Literature Review
Mastroniani DOI
A Different Perspective
Dependent Variable
Independent Variables
Partner Similarity Variables Education
Variables Dealing with Education and Money Education and income
Additional Variables Prior fertility
Variables Purposely Not Included Father’s age at pregnancy
Results
Bivariate Results
Multivariate Results
Discussion
Parting Thoughts
Full Text
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