Transforming and Analyzing Quantitative and Qualitative Data: Techniques and Challenges

This report discusses the processes of transforming and analyzing quantitative and qualitative data, specific techniques, types of data, and challenges. It also explains the importance of discussing limitations in the conclusion section of a dissertation. The report covers references from Bernard, Brannen, Choy, and Smith.

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Contents
Question One...................................................................................................................................1
Question Two...................................................................................................................................3
References........................................................................................................................................3

Question One
Discuss the processes of transforming and analyzing quantitative and qualitative data,
making reference to specific techniques. Describe the type of data you anticipate using in
your own research and the steps you anticipate taking in order to collect, transform and
analyses your data. Identify any specific challenges you think you’ll face in your work.
Qualitative Data Analysis
Transforming & Analysis
 This includes the documentation of data and then processing it through data collection
It includes the data analysis with handling original comments and observations. The analysis is
done through use of analytical steps which are saved and listed with proper documentation in
qualitative research. It helps in providing a summary form to keep the observation sessions.
 The categorization is based on data into concepts.
The focus is on handling interactive process with conceptualization and then working on testing
against new observations. The participants work with using differentiation social status.
 The connection of data with concepts with influencing others
 The corroboration and legitimization through evaluating evidences and search for
negative cases
 Reporting the findings
Quantitative Data Analysis

It focuses on handling the descriptive analysis which includes the basic data quality. They
include the range with maximum, minimum and frequency settings. The central tendency is
about mean, mode, median and standard deviations (Brannen, 2017).
The inferential analysis is about using statistical tests with focusing on chances that are mainly
for determining the relationship with intervention and the outcome for proper strength of the
same. The distributional fall is set with the normal and non-normal data categories which defines
the Bell curve as well.
Types of data
This includes observational with open ended survey etc., experimental data with producing and
measuring the changes for creating differences with altering variables. The simulation is about
the prediction with seismic activities. The derived and compiled data works on creating new data
through transformation with combination of density data (Choy, 2014).
Specific Challenges
a. Poor quality of data
b. The data includes the drowning with handling the marketing collection of data with using
supporting and defining new strategies (Smith, 2015).
c. The customer support includes key metrics for scorecards.
d. The quality checking is about the data with focus on evaluating the data for errors and
including duplication, error records.

Question Two
The conclusion section of your dissertation should include a discussion on limitations.
Define exactly what is meant by the term limitations and why is it important to discuss
limitations.
The limitations are for focusing on the detraction of the research with working on expressing the
study limitations with validity and the research process. The limitations are important to obtain
and the theoretical investigations where the focus is on discussion of real possibilities with
results validity. It takes into analysis with working on interventions to discuss the characteristics
with promoting and demanding the evidences. The goal is to research on picture of variations
and then conceptualizing the experiences with limiting the scope of the initial research projects.
The limitations are important to be discussed to check on the scope for collecting information
with methodology achieving main objectives (Bernard, 2017). The limitations are conducted and
important for the learner’s participation in individual manner.
References
Bernard, H.R., 2017. Research methods in anthropology: Qualitative and quantitative approaches.
Rowman & Littlefield.
Brannen, J., 2017. Mixing methods: Qualitative and quantitative research. Routledge.
Choy, L.T., 2014. The strengths and weaknesses of research methodology: Comparison and
complimentary between qualitative and quantitative approaches. IOSR Journal of Humanities and Social
Science, 19(4), pp.99-104.
Smith, J.A. ed., 2015. Qualitative psychology: A practical guide to research methods. Sage.