Exploring the Accuracy and Simplicity of Idiographic Feeling-Performance Models

Flett, M. Ryan

doi:10.1080/10413200.2014.911220

Cited by 4 publications

(12 citation statements)

References 34 publications

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Section: Discussionsupporting

confidence: 78%

“…These results expand on the outcomes from Flett (2014Flett ( , 2015, which are recently published papers from this same data set. Flett (2014) examined the accuracy of the pIZOF profiles in terms of their ability to accurately predict, or represent, the relationship between feeling intensity and performance levels. Unique from the data presented in this paper, Flett (2014) used the accuracy data to also compare the effectiveness of the four valence-function categories to four discrete feelings (not aggregated) that were identified by participants as critical triggers for optimal performance.…”

Section: Discussionsupporting

confidence: 78%

“…The accuracy of profiles is an important statistic, and should be provided as often as possible in both lines of idiographic research. An exploratory analysis of profile accuracy using the same data set from this paper indicated that pIZOF profiles accurately predicted performance levels two-thirds of the time (64%); and participants' top-three favorite triggers (i.e., the discrete feelings that participants identified as being the most critical in the profile) were 70% accurate (see, Flett, 2014).…”

Section: Limitations and Future Directionsmentioning

confidence: 77%

“…Such pIZOF profiles have the advantage of avoiding undefined gaps between zones and overlapping zones that do not provide clear feeling-performance predictions. However, unlike IAPZs, pIZOFs profile discrete feeling-items that can be combined into valence-function categories, or profiled as discrete feelings without aggregation (see, Flett, 2012Flett, , 2014. For researchers, there is empirical value in using OLR for performance profiling -whether profiling feelings, emotions, or any other PBS factor.…”

Section: Resultsmentioning

confidence: 99%

“…In addition to focusing on the accuracy of profiles and the role of discrete triggers in feeling-performance profiling, (Flett, 2014) augments the current paper by providing: descriptions of each participant's profile items (and specific triggers); distributions of performance ratings; a simple method for assessing the accuracy of a feeling-performance profile; and practical recommendations for how simplified profile-based cues can be used by athletes and coaches. The current study augments the earlier publication by offering: more details about how the study was conducted; detailed information about how the pIZOF profiles were developed; and much more descriptive (quantitative and qualitative) data about the idiographic nature of the profiles.…”

Section: Discussionmentioning

confidence: 99%

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Creating Probabilistic Idiographic Performance Profiles from Discrete Feelings: Combining the IZOF and IAPZ models

Flett¹

2015

Sport Science Review

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The purpose of the study was to determine if probabilistic profiling could be used to develop probabilistic individual zones of optimal functioning (pIZOF) profiles comprised from discrete feelings aggregated into valence-function categories (Hanin, 2000a). Ten male college tennis players developed individualized profiles, and then assessed their personal profile’s items during changeovers of intrasquad matches. Support for the viability of using ordinal logistic regression (OLR; a foundation of the IAPZ method) to develop idiographic discrete performance-feeling profiles (common to the IZOF framework) is provided. Evidence of the idiosyncratic nature of the profiles and for the effectiveness of the IZOF-IAPZ integration is provided through visual assessments of figures, qualitative comparisons of feeling-items selected by each player, and statistical analyses of differences in the size (variance) and location (means) of zones - which revealed that 62 to 76 percent of zones were individually unique. The results of this study augment the IZOF model by (1) establishing that OLR can be used to develop discrete probabilistic (pIZOF) profiles, and (2) providing a variety of qualitative and quantitative methods of assessing idiosyncrasy.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionsupporting

confidence: 78%

Section: Limitations and Future Directionsmentioning

confidence: 77%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Creating Probabilistic Idiographic Performance Profiles from Discrete Feelings: Combining the IZOF and IAPZ models

Flett¹

2015

Sport Science Review

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Psychobiosocial experiences in sport: Development and initial validation of a semantic differential scale

Robazza

Ruiz

Bortoli

2021

Psychology of Sport and Exercise

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Emotion-centered and action-centered coping in elite sport: Task execution design approach

Hanin

Hanina

Šašek

et al. 2016

International Journal of Sports Science & Coaching

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Task execution design approach to optimization of athletic performance aims to help elite athletes and coaches to prevent underperformance in competitions. This individual-specific coping framework includes: (i) constraints-led competition environment; (ii) appraisals, (iii) decision making, and (iv) emergent performance patterns. Practical utility of the Task execution design approach is illustrated by a five-year participant observation case study involving an elite female shooter, her coach, and two consultants. This longitudinal study describes a systematic cooperation that identified several practical problems in competition, with a special reference to the athlete's transition from juniors' to seniors' category. The athlete developed three effective coping strategies: emotion-centered, action-centered, and combined (plans A, B, and C). These strategies were used depending on performer-environment relationship in the framework of ecological dynamics. The study shows how the athlete's needs in self-control changed during five years and were satisfied using the proposed Task execution design framework. The main emphasis was on the qualitative analysis of the experiential knowledge based on the athlete's and coach's self-perceptions and self-reflections. The case also illustrates how the athlete and her coach used the RLD and ALD principles in their preparation for competition. The validity of the Task execution design approach was tested by the practitioners across 14 different sports.

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Exploring the Accuracy and Simplicity of Idiographic Feeling-Performance Models

Cited by 4 publications

References 34 publications

Creating Probabilistic Idiographic Performance Profiles from Discrete Feelings: Combining the IZOF and IAPZ models

Creating Probabilistic Idiographic Performance Profiles from Discrete Feelings: Combining the IZOF and IAPZ models

Psychobiosocial experiences in sport: Development and initial validation of a semantic differential scale

Emotion-centered and action-centered coping in elite sport: Task execution design approach

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