, shared mental models (SMMs) and the individual zones of optimal functioning (IZOF), to propose a new applied framework called the shared zones of optimal functioning (SZOF). Teamwork is essential to performance in sports and beyond, and the SZOF framework detailed herein offers a theoretical and applied
Akihito Kamata, Gershon Tenenbaum, and Yuri L. Hanin
The Individual Zone of Optimal Functioning (IZOF) model postulates the functional relationship between emotions and optimal performance, and aims to predict the quality of upcoming performance with respect to the pre-performance emotional state of the performer. Several limitations associated with the traditional method of determining the IZOF are outlined and a new probabilistic approach is introduced instead. To reliably determine the boundaries of the IZOF and their associated probabilistic curve thresholds, performance outcomes that vary in quality, as well as the emotional intensity associated with them, are taken into account. Several probabilistic models of varying complexity are presented, along with hypothetical and real data to illustrate the concept. The traditional and the new methods are contrasted in one actual set and two hypothetical sets of data. In all cases the proposed probabilistic method was found to show greater sensitivity and to more accurately represent the data than the traditional method. The development of the method is a first stage toward developing models that take into account the interactive nature and multidimensionality of the emotional construct, as well as the fluctuations in emotional intensity and performance throughout the competition phases (i.e., momentum).
Anna Sverdlik, Robert J. Vallerand, Ariane St-Louis, Michael Sam Tion, and Geneviève Porlier
psychological well-being. Another important dimension of optimal functioning that is highly relevant to the DMP is performance (see Vallerand, 2015 , chapter 10). As the passionate activity becomes an integral part of one’s identity, one seeks to perform well when engaging in that activity, as it is deemed
Sherilee Randle and Robert Weinberg
The purpose of the present investigation was to empirically examine Hanin’s (1980) Zone of Optimal Functioning (ZOF) hypothesis using a multidimensional anxiety approach. Female collegiate softball players (N = 13) had optimal cognitive, somatic, and combined cognitive/somatic anxiety zones created using three different methods (retrospective-best, retrospective-postcompetition, precompetition) over seven different competitions to test the relationship between ZOF and both subjective and objective performance measures. Results revealed no significant differences between the three different methods of determining players’ zones of optimal functioning. In addition, no significant differences were found in subjective performance regardless of whether performance was inside or outside players’ cognitive, somatic, or cognitive/somatic combined zones. Nonparametric analyses revealed superior objective performance occurred when players were outside their combined somatic/cognitive ZOF. Results are discussed in terms of Hanin’s ZOF hypothesis and methodological limitations in examining optimal anxiety states, assessing performance, and the operationalization of the optimal zone of functioning.
Tim Woodman, John G. Albinson, and Lew Hardy
Hanin’s (1980) zones of optimal functioning (ZOF) hypothesis suggests that a person is most likely to attain peak performance within an individual, specific bandwidth of state anxiety. The present study investigated Hanin’s ZOF hypothesis within a multidimensional framework, whereby zones of optimal functioning were computed for cognitive and somatic anxiety. Participants (N = 25) were members of a competitive bowling league; they completed the CSAI- 2 prior to each league match over a period of 20 weeks. Performance was operationalized as each participant’s score in the first game of each match, and these scores were standardized within subjects. The analysis revealed a significant main effect for somatic anxiety zone level and a significant interaction between cognitive and somatic anxiety zone levels (below, in, and above zone) and subsequent performance. Results are discussed in terms of the theoretical implications for future researchers, specifically in relation to the cusp catastrophe model.
Harry Prapavessis and J. Robert Grove
This study tested the utility of Morgan’s (1980) Mental Health Model and Hanin’s (1980) Zone of Optimal Function Model in an ecologically valid environment. A sample of 12 high-performance adult clay-target shooters were tested over an entire competitive season. Precompetitive mood states were assessed using Schacham’s (1983) short version of the Profile of Mood States (POMS; McNair, Lorr, & Droppleman, 1971). Results revealed partial support for Hanin’s model but no support for Morgan’s model. Discussion focuses on the importance of multiple assessments of precompetitive emotions, recognition of individual differences, and selection of a precise measure of sport performance.
Hanin (1980) proposed the zone of optimal functioning hypothesis (ZOF), suggesting that each athlete has a specific band width, or zone, of anxiety in which best performances will most likely be observed. The present study combined the ZOF hypothesis with the multidimensional anxiety theory (Martens, Burton, Vealey, Bump, & Smith, 1990). Unique cognitive anxiety and somatic anxiety zones were identified, and it was hypothesized that athletes whose anxiety levels fell within these zones would be more successful than athletes whose anxiety levels were outside these zones. Results of separate cognitive and somatic anxiety ANOVAs indicated that poorest performances were observed when athletes’ cognitive and somatic anxiety were above their zones; performances when anxiety was within or below cognitive and somatic anxiety zones did not differ.
James J. Annesi
Effects of a precompetitive anxiety regulation system, based upon tenets of the individual zones of optimal functioning (IZOF) model, multidimensional anxiety theory, and the specific-effects hypothesis, were tested. In Phase I, case studies (3 elite adolescent tennis players) were used to analyze the IZOF model within a multidimensional state anxiety framework. In Phase II, the effectiveness of a precompetitive anxiety regulation system, based upon IZOF and the specific-effects hypothesis, was tested for enhancing match performance. Essential elements of IZOF theory were supported. In Phase II, inzone/out-of-zone A-state assessment was used to guide athletes’ treatment selections. After training athletes in prematch psychological skills designed to regulate specific cognitive state anxiety, somatic state anxiety, and state selfconfidence dimensions, posttreatment performances yielded higher values (ps < .05) than pretreatment. The need to replicate findings through different sample types, sports, and expertise levels was emphasized. Concerns with intrusion into athletes’ precompetitive routines were discussed.
James J. Annesi
The accuracy of athletes in recalling precompetition anxiety was tested using the Competitive State Anxiety Inventory-2. Young and adolescent female gymnastics and field hockey athletes (N = 34) were tested one hour precompetition and again 48 hours postcompetition (with instructions to recall precompetition feelings). Correlations were significantly different (weaker) than when the State-Trait Anxiety Inventory was used within the same time frame (Harger & Raglin, 1994). After establishing individual “zones” around actual state anxiety values, based on individual zone of optimal functioning (IZOF) theory (Hanin, 1980, 1986, 1989), it was determined that the weaker correlations in the present study translated into enough incorrect in-zone/out-of-zone assessments that two-day recall, using the CSAI-2, may not be useful for IZOF research and practice. The necessity to further this research with other samples and sports was emphasized. The possibility of using alternate methods was discussed in an effort to provide accurate, minimally intrusive state anxiety measurement which may, ultimately, guide practitioners in effective intervention design through the use of IZOF, multidimensional anxiety theory, and the specific-effects (matching) hypothesis.
Yuri Hanin and Pasi Syrjä
Individual patterns of positive–negative affect (PNA) were studied in 46 ice hockey players, ages 15–17 years. Recall idiographic scaling following the methodology of the individual zones of optimal functioning (IZOF) model was used to identify subjective emotional experiences related to each player’s successful and unsuccessful game performance. Individual zones for each emotion were then estimated using Borg’s Category Ratio (CR-10) scale. Different positive and negative emotions were functionally facilitating (20.5%), debilitating (25.3%), or both (54.2%). Significant differences were revealed only at intra- and interindividual but not at the group level. Optimal and nonoptimal zones for different emotions in different players were also individual. The data support and extend Hanin’s IZOF model to the content and intensity of PNA in ice hockey. Implications for the development of sports-specific scales, idiographic assessments, and application of the IZOF model in team sports are suggested.