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Volunteer recruitment through market...

Appel, Justina S.

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Volunteer recruitment through market segmentation: A quantitative study using predictive models.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Volunteer recruitment through market segmentation: A quantitative study using predictive models./
Author:	Appel, Justina S.
Description:	103 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-08(E), Section: A.
Contained By:	Dissertation Abstracts International77-08A(E).
Subject:	Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10076374
ISBN:	9781339586755

Volunteer recruitment through market segmentation: A quantitative study using predictive models.
Appel, Justina S.

Volunteer recruitment through market segmentation: A quantitative study using predictive models. - 103 p.

Source: Dissertation Abstracts International, Volume: 77-08(E), Section: A.

Thesis (Ph.D.)--Capella University, 2016.

This research assessed the consistency of using demographic characteristics for the purpose of predicting behavior relationships for establishing market segmentation within volunteer recruitment. A study of ex post-facto design that examined the use of a predictive model that included several demographic factors that used logistic regression to determine the statistical significance of those characteristics on specific methods of recruitment. The study used secondary data from the American Society of Association Executives center for Association Leadership Survey Questionnaire: Decision to Volunteer Survey completed by 26,305 association members. A quantitative study was performed using the following: one categorical dichotomous dependent variable, method of recruitment and four categorical dichotomous predictor independent variables, gender, age, ethnicity and career situation. The study showed a significance for ethnicity as a predictor in the method of recruitment. However, the study did not find statistical significance for age, gender or career situation as predictors for volunteer recruitment. The study did not result in expected findings. In fact, only one of the hypotheses was supported in this study. The results suggest that there may be other factors at work that are influencing the prediction of the method of recruitment by consideration of demographic characteristics. Additional analysis using different demographic characteristics may also show more statistically significant results.

ISBN: 9781339586755Subjects--Topical Terms:

516664
Management.

Volunteer recruitment through market segmentation: A quantitative study using predictive models.
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500 $a Adviser: Linda J. Roseburr.
502 $a Thesis (Ph.D.)--Capella University, 2016.
520 $a This research assessed the consistency of using demographic characteristics for the purpose of predicting behavior relationships for establishing market segmentation within volunteer recruitment. A study of ex post-facto design that examined the use of a predictive model that included several demographic factors that used logistic regression to determine the statistical significance of those characteristics on specific methods of recruitment. The study used secondary data from the American Society of Association Executives center for Association Leadership Survey Questionnaire: Decision to Volunteer Survey completed by 26,305 association members. A quantitative study was performed using the following: one categorical dichotomous dependent variable, method of recruitment and four categorical dichotomous predictor independent variables, gender, age, ethnicity and career situation. The study showed a significance for ethnicity as a predictor in the method of recruitment. However, the study did not find statistical significance for age, gender or career situation as predictors for volunteer recruitment. The study did not result in expected findings. In fact, only one of the hypotheses was supported in this study. The results suggest that there may be other factors at work that are influencing the prediction of the method of recruitment by consideration of demographic characteristics. Additional analysis using different demographic characteristics may also show more statistically significant results.
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