Basic Concepts and Data Presentation Notes
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Transcript of Basic Concepts and Data Presentation Notes
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7/27/2019 Basic Concepts and Data Presentation Notes
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Variables
- Characteristics of observations- May be qualitative/quali (nominal, ordinal) or
quantitative/quanti (interval, ratio)
Primary data
-Secondary data
- from the study of anotherresearcher/organization
Cross-section data
Time series data
- Observations are taken over time
Nominal
- Mere labels / valuesOrdinal
- Values can be ordered from highest tolowest and vice versa
- unknown distance from one value to anotherInterval
- known distance- no natural zero
Ratio
- like interval but there is a natural zeroPopulation
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Sample
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Probability sampling
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Simple random sampling (SRS)
- the usual random drawing of elements- done if population units are assumed or found to
be similar or homogenous with respect to the
variable/s of interest
Systematic sampling
- just like SRS but drawing is for every 2nd, 3rd,4
th, 5
th, etc... element, depending on N/n
- Note: The concept of a Random Start
Stratified sampling
- all groups, some units- done if population units are assumed or found to
be different or heterogenous with respect to the
variable/s of interest
- elements are grouped in such a way that allelements in one particular group are already
similar or homogenous with respect to the
variable/s of interest
- SRS or systematic sampling is then done foreach group or stratum
Cluster sampling- some groups, all or some units- still, an SRS of groups or clusters is done- avoid leaving out a cluster/certain clusters on
purpose
- usually done if researcher cannot reach/accessall possible clusters
Multi-stage sampling
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Non-probability sampling
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Judgment sampling
Snowball sampling
Convenience sampling
Quota sampling
Raw data
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Textual presentation
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Tabular presentation
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7/27/2019 Basic Concepts and Data Presentation Notes
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Frequency distribution table
- values of qualitative variables as classes- ranges of values of quantitative variables as
classes
o classes should have the same size andshould involve all values in the sample
Class
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Frequency
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Relative frequency
- frequency over sample sizePercent frequency
- relative frequency x 100Cumulative frequency
- sum of frequency of class under considerationand those of preceding classes
Cumulative relative frequency
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Cumulative percent frequency
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Class limits
- two ends of a classClass boundaries
- usually, lower limit minus 0.5 and upper limitplus 0.5
Class mark
- average of limits or of boundariesBar graph
- qualiPie chart
- quali- usually percentages
Histogram
- quanti
- a bar graph with the bars clustered togetherLine graph
- time series data- trends
Pictogram
Frequency polygon
- class marksOgive
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Stem-and-leaf display
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