Business Research Methodologies

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Data_Analysis_Techniques.pptx

Data Analysis Techniques

Software such as Excel, SPSS to be used

Data Description:

Describing the data collected in terms of its distribution eg demographic profile of respondents ( eg percentages of male and female, age distribution etc).

Data should be presented in charts or tables:

Measure of central tendency and deviation:

Mean, Median and Mode for responses obtained.

Standard Deviation to ascertain the normality of the distribution.

Measure of correlation

Pearson coefficient of correlation to determine strength of relationship between the IVs and DVs

Regression Analysis

Deriving regression function for the IVs and DVs to formulate a predictive model

Reliability Measures

Measures eg Cronbach Alpha can be used to determine the reliability of questionnaire