7.1.2 Collecting, using and evaluating data

When collecting data you should following the cycle of analysis. In the cycle of analysis, after 'observing performance and collecting data' you should...

• Collect results and identify strengths and weaknesses

• Plan a training programme to improve weaknesses

• Carry out training programme and monitor

When collecting data you should following the cycle of analysis. In the cycle of analysis, after 'Collecting results and identify strengths and weaknesses' you should...

• Observe performance and collect data

• Plan a training programme to improve weaknesses

• Carry out training programme and monitor

When collecting data you should following the cycle of analysis. In the cycle of analysis, after 'Planing a training programme to improve weaknesses' you should...

• Observe performance and collect data

• Collecting results and identify strengths and weaknesses

• Carry out training programme and monitor

When collecting data you should following the cycle of analysis. In the cycle of analysis, after 'Carrying out training programme and monitor' you should...

• Observe performance and collect data

• Collecting results and identify strengths and weaknesses

• Planing a training programme to improve weaknesses

Data that can be written in numbers.  For example this is collected when carrying out a standardised fitness test.  This is seen as reliable as it is factual and can be trusted.  It is not based on opinion or judgement.

• Qualitative

• Quantitative

Data that can only be written in words not numbers.  For example whether you think your client has performed to their maximum potential.  This type of data relies on thoughts and opinions.

• Qualitative

• Quantitative

Data gathered from fitness test often provides....

• Qualitative data

• Quantitative data

Data gathered from questionnaires (PARQ, Lifestyle questionnaire, and Food diary) often provides....

• Qualitative data

• Quantitative data

GDPR stands for...

• General Data Protection Regulation

• General Deviance Professionally Regulated

• Given Data prior to Resistance

• General Data Protection Ramifications

GDPR act makes if a legal requirement for data to processed....

• lawfully and fairly

• quickly and efficiently

• easily and available

• easily and openly