Predictors Of Attendance Research Articles

Jungian Personality Types as a Predictor of Attendance at the Black College Day March

This study examined whether Jungian personality types, as measured by the Myers-Briggs Type Indicator, would be related to college students' reported behavior regarding attendance at a sociopolitical event, the Black College Day March. There were two attendance variables: (1) whether subjects planned to attend or not and (2) consistency or inconsistency between subjects' attendance plans and actual attendance, e.g., planned to attend and did vs planned not to attend but did. The personality types compared were extra-verts vs introverts, judgers vs perceivers, sensing judgers vs intuitive perceivers, and intuiting judgers vs sensing perceivers. The results supported each of the hypothesized differences among the personality types with respect to the attendance variables. These data provide further evidence of the construct validity of the Jungian personality types.

The health belief model and participation in programmes for the early detection of breast cancer: A comparative analysis

Extravagant claims have been made about the power of the Health Belief Model (HBM) to explain both decisions to adopt patterns of health behaviour and to use preventive health services. However, studies where information on beliefs are collected before information on behaviour are not common. The analyses presented here are based on prospective studies examing how far the variables which make up the HBM predict attendance at (i) a class teaching breast self-examination and (ii) a clinic providing mammography. The results show that different dimensions of the HBM are amongst the best predictors of attendance at each of the different services although the overall variance explained by the HBM in both sets of analysis was small.

Socializing experiences as predictors of performing arts patronage behavior

Over the past ten years, research on consumer patronage of the performing arts has moved through a process of primarily descriptive studies of audiences, to one of examining the various dynamics of audience behavior wherein current audience factors are used to explain and predict patronage behavior. Early studies involved developing audience profiles based on demographic and socio-economic constructs, with comparisons made between patrons and non-patrons [5, 6]. A thorough review of these early audience research studies by DiMaggio, Useem and Brown [4] provides evidence suggesting that art patronage is positively correlated with age, income, education, racial status (white), and that these patrons have a broad base of attendance to many live events. Further refinements in the conceptualization of art patronage studies produce results that are predictive as well as descriptive of behavior, and these results have been adapted to managerial planning and decision making. More recent research examines in detail some of the consumer dynamics involved in art patronage such as degre e of audience involvement to an organization over time [7] , and tangible and intangible motivators of performing arts patronage [3]. Well defined profiles of art patrons have been shown to be useful in market segmentation strategies [8], while Andreasen and Belk [1] have presented data which suggests that life-style, attitudes and socialization to the arts provide better predictors of attendance for marginal attenders than do demographic or socio-economic descriptors. While many studies have sought to predict arts attendance using current consumer characteristics, very few studies have investigated in any detail the effects of early arts experiences and family influences on current art patronage behavior. A belief widely held among behavioral scientists is that childhood and adolescent experiences are of paramount importance in shaping later patterns of adult behavior. "At least some patterns of adult

Predictors of Attendance at the Performing Arts

The present study differs from earlier efforts by its consideration of (1) future attendance intentions of potential artsgoers, (2) life-style, attitudinal, and experiential predictor variables, and (3) multiple market segments, and by its use of multivariate methods. With such differences, socioeconomic variables that were best predictors of arts attendance in prior work become nonsignificant. Implications for arts management are discussed.

Predictors of attendance at a relocatable mammography service for rural women

Predictors of attendance at a relocatable mammography service for rural women

Work attitudes as predictors of attendance on a specific day.

Work attitudes as predictors of attendance on a specific day.

Work attitudes as predictors of attendance on a specific day.

Work attitudes as predictors of attendance on a specific day.