DOI: 10.7280/d1r97w
title: Peloton baseline screening post-ride survey

description: Technology-mediated interventions to promote physical activity are growing
 in popularity and appear to be effective for supporting continued
 adherence for some people. Some of this efficacy may be related to the
 cultivation of motivation that is self-determined (i.e., autonomous),
 which is posited to arise from the satisfaction of three basic
 psychological needs: competence, relatedness, and autonomy. The Peloton
 Instructor Needs-Supportive Coaching (PINC) tool was used to code 80
 Peloton cycling classes across 4 different class types (Beginner, Power
 Zone, Groove, and High-Intensity Interval Training) to quantify the
 frequency of needs-supportive and needs-indifferent coaching within a
 class. We also provide an example of a pilot study using the tool to test
 the association between needs-supportive coaching and intrinsic
 motivation. This dataset provides the valid survey data used in the pilot
 study analysis to test the association between needs-supportive coaching
 and intrinsic motivation.  
description: The Peloton Bike is a technology-mediated product, which
 integrates on-demand cycling classes with instructor-delivered coaching
 and a social media-like interface. The Peloton Bike offers live classes
 which are then stored in an on-demand library. Cycling classes were chosen
 from the on-demand library to represent four types of classes: Beginner,
 High-Intensity Interval Training (HIIT), Power Zone, and Groove. The
 Peloton cycling classes were coded between 2020-09-17 and 2020-12-09 using
 the Peloton Instructor Needs-Supportive Coaching (PINC) tool.
 To evaluate the predictive validity of the PINC, we carried out a
 study to examine the prospective association between the frequency of
 needs-relevant coaching and self-reported intrinsic motivation for Peloton
 cycling.  We utilized Facebook to recruit a sample of Peloton bike riders
 and randomly assigned them to complete a ride that had been previously
 coded using the PINC. Assigned rides were characterized as being high or
 low (relative to median scores from PINC coding) in coaching relevant to
 autonomy, competence, and relatedness, respectively. Rides representing
 all possible combinations of high and low coaching content were selected
 to create 8 possible conditions (e.g., high in all three coaching types,
 high in relatedness, low in competence and autonomy, etc.). Within each
 condition, riders were provided with three rides to choose from. Riders
 were instructed to complete an online survey immediately following their
 assigned ride (henceforth referred to as “post-ride survey”). Riders also
 provided their Peloton username and agreed to give the research team
 access to their online data so that we could verify both the ride
 completed and the timing of the survey completion in relation to the ride.
 Survey responses were used to examine the independent and combined
 contributions of the three types of coaching to self-reported intrinsic
 motivation in reference to the ride. All data were
 de-identified. Study data were collected and managed
 using Research Electronic Data Capture (REDCap) tools hosted at the first
 author’s institution.  REDCap is a secure, web-based software platform
 designed to support data capture for research studies, providing 1) an
 intuitive interface for validated data capture; 2) audit trails for
 tracking data manipulation and export procedures; 3) automated export
 procedures for seamless data downloads to common statistical packages; and
 4) procedures for data integration and interoperability with external
 sources.
description: First look at the README file. The dataset was collected in the
 Research Electronic Data Capture (REDCap) tool and then exported and
 analyzed using SPSS version 27. A CSV file for the dataset is provided
 (Peloton_BaselineScreening_Postride_survey.csv). The data dictionary
 (Peloton_BaselineScreening_Postride_survey_DataDictionary.csv) explains
 the variables found in the dataset.  For those with
 SPSS, the SPSS data file is
 "Peloton_BaselineScreening_Postride_survey.sav" and the SPSS
 syntax can be found in 
 "SPSS_syntax_Peloton_BaselineScreening_Postride_survey.sps" or
 "SPSS_syntax_Peloton_BaselineScreening_Postride_survey.txt".