199902
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Mapa Mental por shirley.ha, atualizado more than 1 year ago
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Criado por shirley.ha
aproximadamente 11 anos atrás
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Topic 8.2: Descriptive Stats
- To establish whether there is a relationship
- 1.The level of measurement of the variables
- (i.e. the scales used to measure variables in the sample)
- (i.e. the scales used to measure variables in the sample)
- 2.Goal of the study is either descriptive or inferential
- examine relationships between study variables and make inferences about
that relationship in the population from which the sample was drawn).
- examine relationships between study variables and make inferences about
that relationship in the population from which the sample was drawn).
- 1.The level of measurement of the variables
- Inferential
- hypothesis test including p-value or confidence interval (CI) is
- estimate the likelihood that the observed relationship in the
sample can be generalised to the population from which the
sample was drawn.
- examined if there is a relationship between study variables
- estimate the likelihood that the observed relationship in the
sample can be generalised to the population from which the
sample was drawn.
- hypothesis test including p-value or confidence interval (CI) is
- Descriptive
- use graphs or tables,
- depending on the level of measurement of the variables,
- many different summary statistics designed to quantify
the sample data
- usually dealing with one variable at a time, rather than
relationships between variables
- usually dealing with one variable at a time, rather than
relationships between variables
- depending on the level of measurement of the variables,
- use graphs or tables,
- What they are
- indispensable in quantitative research.
- basic methods used to summarise and present sample data.
- Analysis of possible independent/dependent variable relationships (in inferential analysis) is more meaningful
- whem firm understanding of how the measurements
of independent variables (IV) and dependent variables
(DV) are distributed
- whem firm understanding of how the measurements
of independent variables (IV) and dependent variables
(DV) are distributed
- Analysis of possible independent/dependent variable relationships (in inferential analysis) is more meaningful
- basic methods used to summarise and present sample data.
- indispensable in quantitative research.
- Common practice
- first stages after data collection
- describe the values encountered in the data.
- describe the values encountered in the data.
- first stages after data collection
- allow you to check for unusual, incorrect, unexpected values that caution,
- encourage certain analyses.
- statistics are used to describe the shape, central tendency and
variability in a set of data.
- statistics are used to describe the shape, central tendency and
variability in a set of data.
- encourage certain analyses.
- Common descriptive stats
- Frequency distributions;
- Measures of Central Tendency;
- Measures of Dispersion;
- Probability
distributions (also
called sampling
distribution or
distribution patterns)
- Frequency distributions;
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