Quantitative Research Flashcards

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1
Q

What is Operationalising and what is PICOS

A

Make a question more specific.
Population/Patient/Problem
Intervention - therapy, treatment, test
Comparison-is there a comparison or control gp
Outcome- what do you hope to change
Study design- what is best study design

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2
Q

Operationalise “Does a coach confidence in their team predict team members self confidence”

A

Does an elite pro premier league first team coach pre-match talk influence those players who are present more than those who are absent for pre-game confidence? Using a quantitative approach using a questionnaire.

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3
Q

What is a NULL hypothesis

A

No difference no change or relationship

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4
Q

What is the Alternative hypothesis

A

There is a difference or relationship

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5
Q

What is a Hypothesis

A

A statement that speculates on the outcome of research or an experiment

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6
Q

What Hypothesis is this” There is no difference in the daily calorific intake of USA men and women.

A

null

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7
Q

What Hypothesis is this” there is a difference in mean levels of perceived stress between teenagers and adults”

A

alternative hypothesis

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8
Q

What is Cross-sectional research

A

Analysis of data from a sample population at a specific time/moment

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9
Q

What is descriptive cross-sectional research

A

analysis of prevalence and distribution within a population

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10
Q

What does Analytical cross-sectional research mean

A

evaluates the association of a variable with other characteristics of a population

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11
Q

What is a independent variable

A

the variable you manipulate, implies a cause or predictor

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12
Q

What is a dependent variable

A

outcome measure what we measure

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13
Q

Does the brand of football boots influence how
accurate a player can pass the ball. Which is independent and dependent variable

A

Dependent - pass accuracy
independent variable - brand of boots

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14
Q

Measuring Variable Data Collection. What 2 things do measurements need to be?

A

Reliable measures are consistent and Valid measures measure what they intend to measure

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15
Q

What are the limitations of mean?

A

Can be distorted by outliers

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16
Q

What are descriptive statistics

A

they organise and summarise numerical data

17
Q

What are the measures of central tendency

A

Mean, mode, median

18
Q

What are the measures of dispersion

A

Range and Standard deviation

19
Q
A