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

    -

    Sample

    -

    Probability sampling

    -

    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

    -

    Non-probability sampling

    -

    Judgment sampling

    Snowball sampling

    Convenience sampling

    Quota sampling

    Raw data

    -

    Textual presentation

    -

    Tabular presentation

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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

    -

    Frequency

    -

    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

    -

    Cumulative percent frequency

    -

    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

    -

    Stem-and-leaf display

    -

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