scholarly journals Factors Influencing College Selection by NCAA Division III Men's Basketball Players

2020 ◽  
Vol 6 (1) ◽  
pp. 32-51
Author(s):  
Brett A Nichols ◽  
Mark A Smith ◽  
Megan B Stellino

National Collegiate Athletic Association (NCAA) Division III basketball, coaches are often faced with the challenge of stretching resources to successfully recruit players who will represent the institution without the benefit of athletic scholarships. Having a better grasp of the factors that influence the college selection of NCAA Division III players might assist these coaches in more efficiently maximizing their resources. The purposes of this study were to (a) examine specific factors which influence why DIII basketball players made their choice to attend a particular school, (b) determine if there were differences based upon the type of school attended, and (c) examine whether there were categorical factors that differed on the basis of a players recruitment, year in school, race/ethnicity, playing status, or financial aid status.   Using the revised Influential Factors Survey for Student Athletes (IFSSA-R; Pauline, 2010), 503 DIII men’s basketball players were surveyed. Participant responses indicated that ‘career opportunities’ was the most vital item affecting college selection. With regard to the five categorical factors (academic, athletic, coaching staff, financial aid, and social atmosphere) academic factors were also found to be important.   Analyses revealed significant (p < .05) differences as determined by type of school for the athletic, academic, and financial aid subscales.  Results of the study will provide useful information for DIII men’s basketball coaches and college administrators throughout various points in the recruiting and college selection process.  Keywords: coaching, recruiting, basketball, NCAA Division III, college selection

2018 ◽  
Vol 13 (8) ◽  
pp. 1067-1074 ◽  
Author(s):  
Daniele Conte ◽  
Nicholas Kolb ◽  
Aaron T. Scanlan ◽  
Fabrizio Santolamazza

Purpose: To characterize the weekly training load (TL) and well-being of college basketball players during the in-season phase. Methods: Ten (6 guards and 4 forwards) male basketball players (age 20.9 [0.9] y, stature 195.0 [8.2] cm, and body mass 91.3 [11.3] kg) from the same Division I National Collegiate Athletic Association team were recruited to participate in this study. Individualized training and game loads were assessed using the session rating of perceived exertion at the end of each training and game session, and well-being status was collected before each session. Weekly changes (%) in TL, acute-to-chronic workload ratio, and well-being were determined. Differences in TL and well-being between starting and bench players and between 1-game and 2-game weeks were calculated using magnitude-based statistics. Results: Total weekly TL and acute-to-chronic workload ratio demonstrated high week-to-week variation, with spikes up to 226% and 220%, respectively. Starting players experienced a higher (most likely negative) total weekly TL and similar (unclear) well-being status compared with bench players. Game scheduling influenced TL, with 1-game weeks demonstrating a higher (likely negative) total weekly TL and similar (most likely trivial) well-being status compared with 2-game weeks. Conclusions: These findings provide college basketball coaches information to optimize training strategies during the in-season phase. Basketball coaches should concurrently consider the number of weekly games and player status (starting vs bench player) when creating individualized periodization plans, with increases in TL potentially needed in bench players, especially in 2-game weeks.


2016 ◽  
Vol 9 (3) ◽  
pp. 321-339 ◽  
Author(s):  
Evan K. Perrault

Despite being the largest subset of the NCAA, Division III sports programs have had very little research dedicated to them regarding student attendance motivations. This study surveyed 620 undergraduate students at a midsize Division III school (total enrollment 10,902) to determine their attitudes toward attending athletic events and potential motivators for getting them into the stands. Students who had personally interacted with an athlete or coach had better attitudes toward university athletics than those who had not. Results also supported predictions of the theory of planned behavior, finding that attitudes toward individual sports were the strongest predictor of intentions to attend future games. Open-ended responses also asked students why they do not attend games and what would get them to attend more games. Analyses of these responses are followed by key recommendations for communications professionals at similar-size institutions seeking ways to increase student attendance at their athletic events.


2014 ◽  
Vol 17 (6) ◽  
pp. 558-577 ◽  
Author(s):  
Russell D. Kashian ◽  
Jeff Pagel

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