Predictors of Self-Esteem with Youth Basketball Players

1996 ◽  
Vol 8 (4) ◽  
pp. 368-378 ◽  
Author(s):  
Vicki Ebbeck ◽  
Moira E. Stuart
Keyword(s):  
Multiple Regression ◽  
Self Esteem ◽  
Perceived Competence ◽  
Predictor Variables ◽  
Regression Analyses ◽  
Conceptual Frameworks ◽  
Basketball Players ◽  
Grade Levels ◽  
The Individual

This investigation examined the extent to which perceptions of competence and importance predicted self-esteem. Players (N = 214) from three grade levels (3–4, 5–6, 7–8) completed questionnaires that assessed perceived basketball competence, as well as each player’s perception of how important it was to himself, his parents, his coach, and his team to be good at basketball. Three nonstepwise multiple regression analyses revealed that the set of predictor variables accounted for 20–28% of the variance in self-esteem across grade levels. The individual predictor variables significantly related to self-esteem were perceived competence and perceived parent importance for Grades 3–4, perceived competence for Grades 5–6, and perceived competence and perceived team importance for Grades 7–8. Perceived competence, however, consistently contributed most substantively to the prediction of self-esteem. These findings are discussed in relation to earlier studies and existing conceptual frameworks.

Who Determines What’s Important? Perceptions of Competence and Importance as Predictors of Self-Esteem in Youth Football Players

1993 ◽  
Vol 5 (3) ◽  
pp. 253-262 ◽  
Author(s):  
Vicki Ebbeck ◽  
Moira E. Stuart
Keyword(s):  
Self Esteem ◽  
Perceived Competence ◽  
Predictor Variables ◽  
Stepwise Multiple Regression ◽  
Football Players ◽  
Stepwise Multiple Regression Analysis ◽  
Youth Football ◽  
Competitive Season ◽  
The Individual ◽  
Individual Importance

The present study examined perceived competence, individual importance (what is important to the individual), and group importance (what is perceived to be important to the group) as determinants of self-esteem. The sample consisted of 100 male football players ranging in age from 11 to 14 years. A questionnaire containing items that assessed the central constructs was administered to the players during a team practice near the end of a 7-week competitive season. Self-esteem was the dependent variable, with perceived competence, individual importance, and group importance entered as the set of predictor variables in a non-stepwise multiple regression analysis. Results revealed that the set of predictor variables accounted for 47% of the variance in self-esteem. Both perceived competence and individual importance contributed significantly to explaining self-esteem, although perceived competence was the strongest predictor. The findings of this study are discussed in terms of how the values of significant others might influence the development of self-esteem.

Individual Difference and Study-Specific Characteristics Influencing Attitudes about the Use of Animals in Medical Research

2009 ◽  
Vol 17 (4) ◽  
pp. 305-324 ◽  
Author(s):  
Roarke Pulcino ◽  
Bill Henry
Keyword(s):  
Medical Research ◽  
Multiple Regression ◽  
Individual Difference ◽  
Analysis Of Variance ◽  
Biomedical Research ◽  
Future Research ◽  
Regression Analyses ◽  
Severity Of The Disease ◽  
The Individual ◽  
Main Effects

AbstractResearch has shown that both individual difference characteristics (e.g., sex, attachment to pets) and study-specific characteristics (e.g., type of animal used) influence the extent to which people support or oppose the use of animals in research. The current study examined how three study-specific characteristics (type of animal used, level of harm to the animal, and severity of the disease being investigated) influenced attitudes toward the use of animals in biomedical research. Participants read one of 27 scenarios describing the use of an animal in research. Scenarios systematically varied each of the study-specific characteristics described above. Participants then completed a survey to assess their support for, or opposition to, the research described. Data on attachment to pets and attitudes toward the treatment of animals were also collected. Analysis of variance revealed significant main effects for each of the study-specific characteristics. Multiple regression analyses revealed that the individual difference and study-specific characteristics accounted for 49% of the variability in opposition to the use of animals in biomedical research among men, and 37% among women. Limitations and directions for future research are discussed.

Anger Expression: Parental and Cognitive Factors

2003 ◽  
Vol 93 (1) ◽  
pp. 59-65 ◽  
Author(s):  
R. L. Cox ◽  
N. L. Lopez ◽  
H. G. Schneider
Keyword(s):  
Regression Analysis ◽  
Multiple Regression ◽  
Undergraduate Students ◽  
Moral Disengagement ◽  
Anger Expression ◽  
Cognitive Factors ◽  
Regression Analyses ◽  
Prosocial Skills ◽  
College Undergraduate ◽  
The Individual

The associations of parental moral disengagement, guilt, prosocial behavior, and anger, with their children's maladaptive anger was examined. 98 college undergraduate students and their parents participated. Both students and parents completed the Anger Response Inventory, the Mechanism of Moral Disengagement Scale, the Texas Social Behavior Inventory, the Fear of Punishment Scale, and the Need for Reparation Scale. A multiple regression analysis was performed to assess the students' variables which predicted maladaptive anger. Only moral disengagement was a predictor of the students' maladaptive anger. Subsequent multiple regression analyses were used to examine whether parental variables predict students' anger. Fathers' maladaptive anger, and prosocial skills were significantly related to students' maladaptive anger. Maternal variables produced an increase in the multiple R similar to the fathers', but none of the individual measures were significantly associated with the students' maladaptive anger.

scholarly journals Personal Relative Deprivation and Reward-Based Eating: Two Exploratory Studies

2021 ◽  
Author(s):  
William John Skylark ◽  
Mitchell J. Callan
Keyword(s):  
Negative Affect ◽  
Multiple Regression ◽  
Relative Deprivation ◽  
Predictive Power ◽  
Robust Regression ◽  
Parameter Estimate ◽  
Self Esteem ◽  
Regression Analyses ◽  
Positive Effect ◽  
Larger Sample

Personal relative deprivation (PRD) is the belief that one is worse off than other people who are like oneself, in a way that seems unfair and which induces resentment. Previous work suggests that PRD may be associated with increased preference for energy dense/unhealthy foods, and more broadly that PRD entails an increased focus on gaining rewards even if these may come with longer-term costs. We report two studies that build on this research by examining the correlation between PRD and self-reported reward-based eating drives (RED). In both studies, higher PRD was associated with greater RED, whereas other indicators of objective and subjective status had little or no meaningful association with RED. RED was also positively associated with negative affect (examined in Study 1) and low self esteem (examined in Study 2), and negatively associated with age. In multiple regression analyses in which all predictors were entered simultaneously, negative affect, self esteem and age continued to predicted RED over and above the effects of other variables, but there was less indication that PRD provided unique predictive power; in Study 1, there was a modest positive effect of PRD but the 95\% CIs were quite wide and included zero; in Study 2, which used a larger sample and produced a more precise parameter estimate, there was a positive effect of PRD with 95\% CIs that just included zero when conventional OLS regression was used, and which just excluded zero when robust regression was used. Taken together, the data suggest an association between relative deprivation and reward-based eating which could form the basis for productive future inquiry.

scholarly journals The effect of score types on total score in trampoline gymnastics: Example of the European Championship in Sochi 2021

2021 ◽  
Vol 25 (6) ◽  
pp. 349-354
Author(s):  
Sercin Kosova ◽  
Merve Koca Kosova
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Scoring System ◽  
Time Of Flight ◽  
Horizontal Displacement ◽  
Regression Analyses ◽  
Male And Female ◽  
Competition Rules ◽  
The Individual

Background and Study Aim. Trampoline gymnastics has a versatile scoring system that has evolved and become more complex over the years. This study aimed to find the effect of the difficulty (D), execution (E), time of flight (TOF), and horizontal displacement (HD) scores on the total score in male and female trampoline gymnasts. Material and Methods. The results of the first round in the qualification round in the individual senior category of the 27th European Championships in Trampoline Gymnastics were used for evaluation. Multiple regression analysis (the enter method) was performed to build a model between the total score and D, E, TOF, and HD scores. Results. According to multiple regression analyses, respectively E, TOF, D, and HD scores were predictors of the total score in the men’s first routine, and D, E, TOF, and HD in the men’s second routine (p<0.05). Although women have the same ranking as the men of the second routines, respectively E, D, TOF, and HD scores were predictors of the first routine (p<0.05). Conclusions. The results show that the E score is critical for the first routines and the D score is critical for the second routines. The fact that the first and second routines were constructed with different strategies as per the competition rules may have caused this result. By reminding coaches and athletes of the fact that the types of scores can affect each other, it can be suggested that they adjust their target scores according to the type of routine and the stage and type of competition.

The Music or the Words? Or How Important is the Libretto for an Opera's Aesthetic Success?

2000 ◽  
Vol 18 (2) ◽  
pp. 105-118 ◽  
Author(s):  
Dean Keith Simonton
Keyword(s):  
Multiple Regression ◽  
Predictor Variables ◽  
Literary Genre ◽  
Regression Analyses ◽  
Composite Measure ◽  
Control Variables ◽  
Literary Sources ◽  
The Aesthetic

What are the comparative contributions of composer and librettist to the aesthetic impact of great operas? This question was empirically answered using a sample of 911 operas by fifty-nine composers. The aesthetic success of each opera was gauged by a composite measure that included performance and recording frequencies as well as archival indicators. The predictor variables were both idiographic (e.g., the specific identities of the librettists and the literary sources) and nomothetic (e.g., literary genre, language, librettist's age, and experience). After introducing appropriate control variables, the multiple-regression analyses demonstrated that composers play a much bigger role in determining operatic impact than do librettists or their libretti. The identity of the composers alone accounted for almost half of the variance in aesthetic success. As far as opera is concerned, the music is aesthetically more crucial than are the words.

Effects of Travel and Length of Home Stand/Road Trip on tie Home Advantage

1991 ◽  
Vol 13 (1) ◽  
pp. 42-49 ◽  
Author(s):  
Kerry S. Courneya ◽  
Albert V. Carron
Keyword(s):  
Multiple Regression ◽  
Predictor Variables ◽  
Regression Analyses ◽  
Number Series ◽  
Chi Square ◽  
Future Directions ◽  
Road Trip ◽  
Home Team ◽  
Minor League ◽  
Home Advantage

The present study investigated the effects of season game number, series game number, length of home stand, length of visitor's road trip, home travel, and visitor travel on the home advantage in minor league Double A baseball (N= 1812 games). Initial analysis indicated that the home team won 55.1% of the games (p<.001). Forced-entry multiple regression analyses determined that the combined main and interaction effects of the predictor variables explained less than 1.2% of the variance in win/loss outcome (p>.49). Chi-square analyses revealed that the variable of length of visitor's road trip produced the greatest change in the magnitude of home advantage. When the length of visitor's road trip was cross-tabulated with the length of home stand, me change in home advantage was statistically significant for the home team's later series (p<.05). The implications of these results for the various home advantage explanations are discussed, and future directions for home advantage research are offered.

The influence of psychological factors on the burden of caregivers of patients with advanced cancer: Resiliency and caregiver burden

2017 ◽  
Vol 16 (3) ◽  
pp. 269-277 ◽  
Author(s):  
Carolina Palacio ◽  
Alicia Krikorian ◽  
Joaquín T. Limonero
Keyword(s):  
Multiple Regression ◽  
Advanced Cancer ◽  
Caregiver Burden ◽  
Emotional Distress ◽  
Emotional Regulation ◽  
Psychological Factors ◽  
Cognitive Restructuring ◽  
Perceived Competence ◽  
Regression Analyses ◽  
Positive Aspects Of Care

ABSTRACTObjective:The aim of our study was to identify the influence of such psychological factors as emotional intelligence and perceived competence on caregiver burden in those who care for patients with advanced cancer.Method:A total of 50 informal caregivers completed self-report assessments of resilience, perceived competence, emotional regulation, positive aspects of care, emotional distress, and burden. We conducted a quantitative study with a cross-sectional design. Descriptive statistics were obtained. Associations between the different variables were assessed using nonparametric and multiple regression analyses.Results:Participants were mainly female (88%) and had an average of 20 months of caregiving. Their mean age was 47 years (range = 20–79). More than half of scored high on resilience, positive aspects of caring, and emotional distress, moderately on perceived competence, and low on burden. Most caregivers used cognitive restructuring and social support as coping strategies. Inverse negative correlations were observed among emotional distress, emotional state, and burden with perceived competence and positive aspects of caring (p < 0.05). Significant differences were obtained for emotional distress, cognitive restructuring, and resiliency. Multiple regression analyses demonstrated that perceived competence, resiliency, and positive aspects of caring were the main predictors of burden.Significance of Results:Resilience, perceived competence, emotional regulation, and positive aspects of care constitute protective factors against caregiver burden. Taken together, these aspects should be promoted by the healthcare staff in order to facilitate caregiver adaptation and well-being.

A Multivariate Study of Hypnotic Susceptibility

1989 ◽  
Vol 9 (1) ◽  
pp. 33-48 ◽  
Author(s):  
Nicholas P. Spanos ◽  
Joyce L. D'Eon ◽  
Anne E. Pawlak ◽  
Christopher D. Mah ◽  
Gary Ritchie
Keyword(s):  
Multiple Regression ◽  
Common Factor ◽  
Predictor Variables ◽  
Regression Analyses ◽  
Hypnotic Susceptibility ◽  
Multivariate Study ◽  
Susceptibility Factors ◽  
Criterion Variables

Twelve variables previously shown to predict hypnotic susceptibility were factor, analyzed. Six of them loaded on a common factor labeled “a positive set toward, imagining.” The items from two hypnotic susceptibility scales were also factor, analyzed, and fell into three factors (one “cognitive” and two motor factors)., Multiple regression analyses using the susceptibility scales and also the three, susceptibility factors as criterion variables indicated that most of the predicted, variance was accounted for by the predictor variables that loaded on the, “imaginative set” factor. Many of the predictor variables did not contribute, significantly to the prediction of the susceptibility measures. Moreover, a number of, predictors, that purportedly assess similar processes, failed to intercorrelate, significantly. Methodological and theoretical implications of these findings are, discussed.

Prediction of Brain Damage in a Neurological Population with Cerebrovascular Accidents

1970 ◽  
Vol 31 (2) ◽  
pp. 595-601 ◽  
Author(s):  
Michael M. Burgess ◽  
Altan Kodanaz ◽  
Dewey K. Ziegler
Keyword(s):  
Multiple Regression ◽  
Brain Damage ◽  
Clinical Population ◽  
Predictor Variables ◽  
Regression Analyses ◽  
Cerebrovascular Accidents ◽  
Sensory Motor ◽  
Intellectual Measures ◽  
Student’S T ◽  
Single Predictor

A total of 15 intellectual and 12 sensory-motor variables were examined as predictors of brain damage in a neurological population with cerebrovascular accidents. Results obtained via Student's t tests and multiple regression analyses demonstrate that it is possible to predict brain damage significantly in this clinical population. Specific conclusions were: (1) as single predictor variables, sensory-motor measures are superior to intellectual measures; (2) brain damage as measured behaviorally is consistent across patient populations in neurological, psychiatric, and neurological sub-groups with CVA; and, (3) multiple variant prediction holds promise for diagnosis of brain damage in a CVA population.

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