This week has been a strange one. Missed opportunities with AD from bad planning, sleep problems, lots of research work. Big this to work on is just be more lighthearted, not going to a friends flatwarming on shore? no prob, don't fret, see them another time. Let it be, whats next. Do what you feel, whats best for you, and what you truly love. "Everyone has time, but its what we do with the time thats given to us that matters".
Split directions
I have so many ambitions about what i want to do and be, sometimes it can be hard channelling these into something meaningful and fulfilling, dedicating my all to something. with postgrad commitments, AD coaching, icebreaker, applying for new jobs, and future outlook keeping me busy on career side of things, and music and ultimate keeping me busy in the social and recreational side of life. Clearing up a big maybe in a love interest helped re-focus a good amount of my attention onto these pursuits, this last week has still been lackluster for me though.
"We are what we repeatedly do. Excellence is not then an act, but a habit"
Research
Have been exploring the benefits of experimental and paticipatory approaches. From my understanding strengths for the first approach should be described first, including
Outline
Quantitative: experimental, prospective cohort study
Advantages: broad,
Disadvantages, Subjects: no control group, inclusion/exclusion criteria, no control over subjects other sporting activity (increase risk)
Qualitative:
Variables: How an injury is recorded over study, interview questionnaire response, rich data.
All variables are measured in one point in time (cross sectional), no distinction between predictors and outcomes. A disadvantage of this approach is the results have weaker evidence for causality, due to no correlation made between the independent variable and outcome (dependent) variable (Healey, 2015). An advantage of this approach is that it can provide descriptive information with relatively low expenses compared to an experimental design, such as a controlled trial. Additionally, because the data collected is purely observational, it is considered natural without any artificial constructs. The simple one-off data collection method also negates the drop-out problems associated with follow-up interventions over a length of time, such as cohort studies.
Example: TOPs performance strategy questionnaire, CSAI-2 competitive state anxiety questonnaire
Evaluation: The cross-sectional approach is best used to build background knowledge around a topic, such as performance anxiety, without making any definitive conclusions about causation. When used as a precursor to an experimental design, more information about the predictor variable can be collected to gain a more accurate understanding of the outcome variable. This could help save time and resources used pursuing an experimental design when not much is known about topic.
Split directions
I have so many ambitions about what i want to do and be, sometimes it can be hard channelling these into something meaningful and fulfilling, dedicating my all to something. with postgrad commitments, AD coaching, icebreaker, applying for new jobs, and future outlook keeping me busy on career side of things, and music and ultimate keeping me busy in the social and recreational side of life. Clearing up a big maybe in a love interest helped re-focus a good amount of my attention onto these pursuits, this last week has still been lackluster for me though.
"We are what we repeatedly do. Excellence is not then an act, but a habit"
Research
Have been exploring the benefits of experimental and paticipatory approaches. From my understanding strengths for the first approach should be described first, including
Outline
Quantitative: experimental, prospective cohort study
Advantages: broad,
Disadvantages, Subjects: no control group, inclusion/exclusion criteria, no control over subjects other sporting activity (increase risk)
Qualitative:
Variables: How an injury is recorded over study, interview questionnaire response, rich data.
All variables are measured in one point in time (cross sectional), no distinction between predictors and outcomes. A disadvantage of this approach is the results have weaker evidence for causality, due to no correlation made between the independent variable and outcome (dependent) variable (Healey, 2015). An advantage of this approach is that it can provide descriptive information with relatively low expenses compared to an experimental design, such as a controlled trial. Additionally, because the data collected is purely observational, it is considered natural without any artificial constructs. The simple one-off data collection method also negates the drop-out problems associated with follow-up interventions over a length of time, such as cohort studies.
Example: TOPs performance strategy questionnaire, CSAI-2 competitive state anxiety questonnaire
Evaluation: The cross-sectional approach is best used to build background knowledge around a topic, such as performance anxiety, without making any definitive conclusions about causation. When used as a precursor to an experimental design, more information about the predictor variable can be collected to gain a more accurate understanding of the outcome variable. This could help save time and resources used pursuing an experimental design when not much is known about topic.
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