TY - JOUR
T1 - Application of investment theory to predicting maintenance of the intent to stay among freshmen
AU - Barry, Chloe Y H
AU - Okun, Morris A.
PY - 2011/1/1
Y1 - 2011/1/1
N2 - Recently, it has been suggested that constructs from different disciplines should be incorporated into Tinto's (1993) sociological model of the determinants of departure from college (Ackerman & Schibrowsky, 2007). We tested the hypothesis that variables derived from Rusbult's (1983) social-psychological investment theory contribute, above and beyond variables derived from Tinto's model, to the prediction of maintaining the intent to stay at a university. A sample of 218 first-semester freshmen at a large southwestern university who indicated at the beginning of the fall 2007 semester that they intended to stay subsequently completed a questionnaire assessing integration variables (goal commitment, social integration, and academic integration), investment variables (satisfaction level, investment size, and quality of alternatives), and college graduation intention (stay versus transfer). A binary logistic regression analysis revealed that two variables derived from investment theory-satisfaction level and quality of alternatives-affected the log odds of students maintaining their intent to stay.
AB - Recently, it has been suggested that constructs from different disciplines should be incorporated into Tinto's (1993) sociological model of the determinants of departure from college (Ackerman & Schibrowsky, 2007). We tested the hypothesis that variables derived from Rusbult's (1983) social-psychological investment theory contribute, above and beyond variables derived from Tinto's model, to the prediction of maintaining the intent to stay at a university. A sample of 218 first-semester freshmen at a large southwestern university who indicated at the beginning of the fall 2007 semester that they intended to stay subsequently completed a questionnaire assessing integration variables (goal commitment, social integration, and academic integration), investment variables (satisfaction level, investment size, and quality of alternatives), and college graduation intention (stay versus transfer). A binary logistic regression analysis revealed that two variables derived from investment theory-satisfaction level and quality of alternatives-affected the log odds of students maintaining their intent to stay.
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U2 - 10.2190/CS.13.1.e
DO - 10.2190/CS.13.1.e
M3 - Article
AN - SCOPUS:80051709975
SN - 1521-0251
VL - 13
SP - 87
EP - 107
JO - Journal of College Student Retention: Research, Theory and Practice
JF - Journal of College Student Retention: Research, Theory and Practice
IS - 1
ER -