Capturing the impact of membership turnover in small groups via latent class growth analysis: Modeling the rise of the New York Knicks of the 1960s and 1970s.

Morgan‐López, Antonio A.; Cluff, Laurie; Fals‐Stewart, William

doi:10.1037/a0014095

Cited by 7 publications

(5 citation statements)

References 31 publications

(61 reference statements)

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“…Latent class growth analysis is a more statistically grounded alternative to manual classification and provides indices to assess model classification quality. 29 The analyses presented here were conducted from February 16, 2015, through February 20, 2015, using Mplus, version 7.11 (Muthén & Muthén), 30 with maximum likelihood estimation and the expectation maximization algorithm; ie, model parameters were estimated by maximizing likelihood functions across observations with and without missing values, assuming they were missing at random. 31 Dichotomous variables representing whether a man committed rape at each time point were used to indicate trajectory membership in the derivation and validation models.…”

Section: Discussionmentioning

confidence: 99%

Trajectory Analysis of the Campus Serial Rapist Assumption

et al. 2015

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IMPORTANCE Rape on college campuses has been addressed recently by a presidential proclamation, federal legislation, advocacy groups, and popular media. Many initiatives assume that most college men who perpetrate rape are serial rapists. The scientific foundation for this perspective is surprisingly limited. OBJECTIVE To determine whether a group of serial rapists exists by identifying cohesive groups of young men, indicated by their trajectories of rape likelihood across high school and college. DESIGN, SETTING, AND PARTICIPANTS Latent class growth analysis of the 2 largest longitudinal data sets of adolescent sexual violence on college campuses using 2 distinct groups of male college students. The first group was used for derivation modeling (n = 847; data collected

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Section: Discussionmentioning

confidence: 99%

Trajectory Analysis of the Campus Serial Rapist Assumption

et al. 2015

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“…In this case, latent class membership accounts for individual differences (Muthén & Muthén, ); class differences can then be analyzed as a function of covariates to assess the level to which these variables are generally able to predict class membership. LCGA provides a more statistically grounded alternative to manual classification techniques and offers statistics related to model classification quality (Morgan‐Lopez, Cluff, & Fals‐Stewart, ).…”

Section: Methodsmentioning

confidence: 99%

Trajectories of male sexual aggression from adolescence through college: A latent class growth analysis

Swartout

Brennan

et al. 2015

Aggressive Behavior

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Approximately 25% of male college students report engaging in some form of sexual coercion by the end of their fourth year of college. White and Smith (2004) found that negative childhood experiences-childhood sexual abuse, childhood physical abuse, and witnessing domestic violence-predicted sexual aggression perpetrated before college, but not during the subsequent college years, a puzzling finding in view of the reasonably consistent rates of sexual aggression from adolescence to the first 2 years of college. The current study takes a person-centered approach to sexual aggression in an attempt to resolve this discrepancy. We examined the possibility of cohesive subgroups of men in terms of their frequency of sexual aggression across the pre-college and college years. A series of latent class growth models were fit to an existing longitudinal dataset of sexual experiences collected across four time points-pre-college through year 3 of college. A four-trajectory model fit the data well, exhibiting significantly better fit than a three-trajectory model. The four trajectories are interpreted as men who perpetrate sexual aggression at (1) low (71.5% of the sample), (2) moderate (21.2%), (3) decreasing (4.2%), and (4) increasing (3.1%) frequencies across time. Negative childhood experiences predicted membership of the decreasing trajectory, relative to the low trajectory, but did not predict membership of the increasing trajectory, explaining the discrepancy uncovered by White and Smith. Implications for primary prevention of sexual aggression are discussed.

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“…Moreover, the NBA is a clear example of the kind of organizational environment with short horizons and time pressures where efficient membership transition is essential. NBA rosters undergo a large amount of turnover between and within seasons due to free agency and trades, with this player fluctuation often playing a significant role in a given team’s fortunes (Morgan-Lopez, Cluff, & Fals-Stewart, 2009). To be successful, teams need to bring in talented players who provide a good fit with current players and the organization as a whole.…”

Section: Methodsmentioning

confidence: 99%

“…Fortunately, findings from the NBA can generalize to other research contexts, as shown by previous research that has explored the parallels between professional sports and other organizational contexts (Keidel, 1984, 1987). Several studies have utilized the NBA specifically to examine a variety of organizational and group related topics relevant to the current study, including experience (Pfeffer & Davis-Blake, 1986), membership turnover (Morgan-Lopez et al, 2009), and knowledge translation (e.g., Berman, Down, & Hill, 2002). Therefore, it is reasonable to assume that the current study can provide more general insights for the effect of different experience types on individual performance embedded within larger group and organizational structures.…”

Section: Methodsmentioning

confidence: 99%

Does Transition Experience Improve Newcomer Performance? Evidence From the National Basketball Association

Radzevick

2016

Small Group Research

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A substantial body of research has highlighted the effects of experience on individual performance in groups. However, the challenges individuals confront after moving between groups require the adoption of more finely grained categorizations of experience to understand how they will help or hinder performance in novel group environments. This article develops a distinct form of experience here termed transition experience to deal specifically with insights individuals accumulate as they shift membership between different groups and contrasts its impact with that of the frequently examined component of related task experience. Player movement data from the National Basketball Association is used to show that related task experience can produce negative consequences, consistent with prior research. Conversely, low to moderate levels of transition experience can aid performance. This holds true for both individual performance and performance more closely related to coordinated actions with teammates.

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Capturing the impact of membership turnover in small groups via latent class growth analysis: Modeling the rise of the New York Knicks of the 1960s and 1970s.

Cited by 7 publications

References 31 publications

Trajectory Analysis of the Campus Serial Rapist Assumption

Trajectory Analysis of the Campus Serial Rapist Assumption

Trajectories of male sexual aggression from adolescence through college: A latent class growth analysis

Does Transition Experience Improve Newcomer Performance? Evidence From the National Basketball Association

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