Commitment Predictors: Long‐Distance Versus Geographically Close Relationships

Abstract

In this web‐based study, the authors examined long‐distance relationships (LDRs) and geographically close relationships (GCRs). Two hierarchical multiple regressions (N = 138) indicated that attachment predicted LDR and GCR commitment in Step 1. Final equations indicated that high satisfaction and investments predicted LDR commitment, whereas low attachment avoidance, low cooperative caregiving, high satisfaction, and low alternatives predicted GCR commitment. The pattern of predictors differed for LDRs versus GCRs.

Long‐Distance Romantic Couples: An Attachment Theoretical Perspective

“…In addition, a college student’s comment that “the need to talk to their partner was more important than anything” (Arditti & Kauffman, 2001, p. 51) may reflect high attachment anxiety. Consistent with these indicators, research (Pistole, Roberts, & Mosko, in press; Roberts & Pistole, 2009) suggests that attachment orientations are prevalent but may function differently in LDRs. For example, lower attachment avoidance, rather than secure attachment, predicted higher LDR commitment and satisfaction.…”

A Systematic Review of Online Response Rates in Four Counseling Journals

“…Noted in three articles with university students as the primary respondents, limitations related to policies regarding access to or use of email addresses were coded into this category. Examples include “we were unable to use a universitywide research subject pool or course” (Pistole, Roberts, & Mosko, 2010, p. 151); “as a result of the policy of the international student office, we were unable to send out a reminder e‐mail to the international students to participate in the study” (Sümer, Poyrazli, & Grahame, 2008, p. 436); and “overburdened faculty and university policy not to use electronic mailing lists for research solicitations were the two most frequently cited reasons for declining participation” (Welfare & Sackett, 2011, p. 481).…”

Quantitative Articles: Developing Studies for Publication in Counseling Journals

“…Authors should also examine ways to combine data in tables. There are several good examples in the literature (e.g., Pistole, Roberts, & Mosko, 2010) showing how to combine descriptive statistics (means and standard deviations) with a correlation matrix and how to combine regression results. I suggest that authors not use the Tables function in their word processing programs and, instead, follow the examples in the Publication Manual (APA, 2010).…”