48
L. D’Arcy et al.
3.3 Piloting
Prior to launching, the questionnaire was reviewed by two academics experienced in questionnaire design, followed by a pilot to adult women (n = 20). The
sample included two experienced, industry qualitative researchers, friends, family
and students at Loughborough University. Two participants were observed and
timed during the completion of the questionnaire. Observations provided insight
into the potential misinterpretation of questions and how fluidly participants moved
through the sections. All participants completed the questionnaire independently and
provided feedback. In response to the feedback obtained, several changes were made
to the final version.
3.4 Ethics
The study was approved by the Ethics Sub-Committee for Human Participants of
Loughborough University on the 6 September 2019. Ethical approval included an
ethical clearance checklist, participant information sheet, informed consent form and
a risk assessment for the online questionnaire. Due to the questionnaire being hosted
online, hard copy signed consent forms were not feasible. The questionnaire’s introductory foreword titled ‘Participant Information and Consent’ explained the research
aims, data protection, confidentiality and informed respondents that the questionnaire collected no identifiable data, responses were anonymised, unless participants
agreed to further participation in further research, and data would be handled in strict
confidence. After reading, participants could then agree or refuse participation in the
study.
3.5 Data Analysis
All statistical analyses were conducted using SPSS version 24 (SPSS, Inc. Chicago,
IL). Chi-square tests were used to measure the degree of association across 4 categorical variables; a value of p < 0.05 was considered statistically significant. Descriptive statistics were used as a visual means to describe the survey data. All nominal,
ordinal and scalar data were numerically coded when imported into SPSS. For the
final open-ended question, a thematic analysis was conducted to identify themes,
which allowed for coding into nominal data. The value of metabolic equivalents
(METs) was assigned for each physical activity listed according to a compendium of
physical activities [32]. The MET values were not visible to respondents, however,
the values assigned allowed for the nominal variable (exercise mode) to be translated
into scalar data (MET) to allow for an understanding and comparison of physical
activity intensity.
L. D’Arcy et al.
3.3 Piloting
Prior to launching, the questionnaire was reviewed by two academics experienced in questionnaire design, followed by a pilot to adult women (n = 20). The
sample included two experienced, industry qualitative researchers, friends, family
and students at Loughborough University. Two participants were observed and
timed during the completion of the questionnaire. Observations provided insight
into the potential misinterpretation of questions and how fluidly participants moved
through the sections. All participants completed the questionnaire independently and
provided feedback. In response to the feedback obtained, several changes were made
to the final version.
3.4 Ethics
The study was approved by the Ethics Sub-Committee for Human Participants of
Loughborough University on the 6 September 2019. Ethical approval included an
ethical clearance checklist, participant information sheet, informed consent form and
a risk assessment for the online questionnaire. Due to the questionnaire being hosted
online, hard copy signed consent forms were not feasible. The questionnaire’s introductory foreword titled ‘Participant Information and Consent’ explained the research
aims, data protection, confidentiality and informed respondents that the questionnaire collected no identifiable data, responses were anonymised, unless participants
agreed to further participation in further research, and data would be handled in strict
confidence. After reading, participants could then agree or refuse participation in the
study.
3.5 Data Analysis
All statistical analyses were conducted using SPSS version 24 (SPSS, Inc. Chicago,
IL). Chi-square tests were used to measure the degree of association across 4 categorical variables; a value of p < 0.05 was considered statistically significant. Descriptive statistics were used as a visual means to describe the survey data. All nominal,
ordinal and scalar data were numerically coded when imported into SPSS. For the
final open-ended question, a thematic analysis was conducted to identify themes,
which allowed for coding into nominal data. The value of metabolic equivalents
(METs) was assigned for each physical activity listed according to a compendium of
physical activities [32]. The MET values were not visible to respondents, however,
the values assigned allowed for the nominal variable (exercise mode) to be translated
into scalar data (MET) to allow for an understanding and comparison of physical
activity intensity.