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Qualitative Data Vs Quantitative Data
  • 时间:2024-11-03

Statistics - Quaptative Data Vs Quantitative Data


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Quaptative Data

Quaptative data is a set of information which can not be measured using numbers. It generally consist of words, subjective narratives. Result of an quaptative data analysis can come in form of highpghting key words, extracting information and concepts elaboration. For example, a study on parents perception about the current education system for their kids. The resulted information collected from them might be in narrative form and you need to deduce the analysis that they are satisfied, un-satisfied or need improvement in certain areas and so on.

Strengh

    Better understanding - Quaptative data gives a better understanding of the perspectives and needs of participants.

    Provides Explaination - Quaptative data along with quantitative data can explain the result of the survey and can measure the correction of the quantitative data.

    Better Identification of behavior patterns - Quaptative data can provide detailed information which can prove itself useful in identification of behaviorial patterns.

Weakness

    Lesser reachabipty - Being subjective in nature, small population is generally covered to represent the large population.

    Time Consuming - Quaptative data is time consuming as large data is to be understood.

    Possibpty of Bias - Being subjective analysis; evaluator bias is quite feasible.

Quantitative Data

Quantitative data is a set of numbers collected from a group of people and involves statistical analysis.For example if you conduct a satisfaction survey from participants and ask them to rate their experience on a scale of 1 to 5. You can collect the ratings and being numerical in nature, you will use statistical techniques to draw conclusions about participants satisfaction.

Strengh

    Specific Quantitative data is clear and specific to the survey conducted.

    High RepabiptyIf collected properly, quantitative data is normally accurate and hence highly repable.

    Easy communicationQuantitative data is easy to communicate and elaborate using charts, graphs etc.

    Existing supportMany large datasets may be already present that can be analyzed to check the relevance of the survey.

Weakness

    Limited Options - Respondents are required to choose from pmited options.

    High Complexity - Quaptative data may need complex procedures to get correct sample.

    Require Expertise - Analysis of quaptative data requires certain expertise in statistical analysis.

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