Conceptual Framework and Data Analysis in Mixed-Method Evaluation

This report provides an evaluation of data analysis strategies within mixed-method evaluation designs, focusing on both qualitative and quantitative approaches. The analysis includes a comparison of these strategies, highlighting their strengths and weaknesses, and how they contribute to the overall research process. The report explores the application of these methods, with examples, to provide a clear understanding of how data is collected, analyzed, and interpreted. It also discusses the importance of integrating qualitative and quantitative data to enhance the validity and reliability of research findings. The report emphasizes the ethical considerations and the importance of following research guidelines for ensuring the integrity of the research process. The conclusion summarizes the key findings and reinforces the value of mixed-method approaches in providing comprehensive and nuanced insights.

Conceptual Framework and Data Analysis
Strategies for Mixed-Method Evaluation Designs

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................3
TASK 1............................................................................................................................................3
Evaluation of data analysis strategies..........................................................................................3
CONCLUSION................................................................................................................................4
REFRENCES...................................................................................................................................5
Books and journal............................................................................................................................5

INTRODUCTION
Mixed – method evaluation is strategy of research process in which more than two technique
of evaluation has been apply by researchers in every phase of research project.. Mostly
qualitative and quantitative method of data collection has been applied by researcher. In this
report uses of mixed strategies tools have been evaluate clearly. This report also contain how
effectively qualitative and qualitative tools provide detail summary of each finding which
will help in interpretation of data as well as formulation of mixed strategy framework in
research project.
TASK 1
Evaluation of data analysis strategies
Data analysis: It is defined as systematic process used in research for identifying, collecting,
transforming, changing data for discover essential information which is useful for decision-
making. After deciding the objective of research investigators uses to collect the data from
different sources it is essential part of research and it will be helpful in formulating polices

regarding future. For collection of information researchers apply techniques of data analysis.
Following are the strategies used by researcher (Riazi & Emami, 2018).
Quantitative analysis strategy: In this strategy numerical data are collected by researchers to
answer their finding. It can be defined as collection of data in the form of numbers. Quantitative
strategy useful for mathematical deviations For collection of quantitative data polls, surveys,
questionnaires, are used] All the finding can be easily interpreted and researchers find their
analysis value in numerical thus it will be not hard to interpret and communicate result to the
interested parties. It is easy and useful strategy of research. Quantitative analysis helpful for
investigation as well as record data in systematic form
Quantitative Analysis Table: This table used to identify number of tweets an individual comment
on tweeter and their density of using social media. In the month of August the highest number of
tweets has been recorded and it has be identify that people uses Tweeter in noon as compare to
other time period.

Graph 1

Figure 1
Interpretation: In this twitter example has been taken for reviewing quantitative tool of mixed
strategy. By using various strategies and method figure 1 help in evaluation of velocity and
engagement process of people use Tweeter for their work. Identify the number of tweets have
been done in months, graph first frequency of tweet in according to time has been describe
according to which most people use tweeter and done comment in between morning to noon.

 Qualitative analysis strategy: This research strategy uses non quantifiable data for
decision making process. Researcher take decision on the basis of management expertise,
labour relations, human behaviour, strength ,weakness of projects , all this information
are used for understanding, interpretation, explanations of people response interviews,
group discussion, pile sort, life history, ranking, rapid assessment procedure are the
methods of collection of qualitative data. It is comparatively hard for researchers to
defined theses data conclusion but they provide accurate and reliable information for
study( Esterhuizen, Martins, 2015, June).
Qualitative research data of twitter
This diagrams also represent the topic people tasks about using of emojies during their
conversation, topic of their conversation their feeling their raking to tweeter as social site has
1

been mention. It will easily help in interpreting of users feeling . form thus graphical format
represent every emotion, sticker, emojies, use by public while using tweet.
Graph 2
Interpretation: In this Graph 3
2

tweeter example for qualitative statement has been taken, this picture represent the analysis of
researcher and the various of qualitative tools cannot interpret in numerical form, topic of their
conversation their feeling their raking to tweeter as social site has been mention. This data
easily help in interpreting of users feeling .
Comparison
Basis Qualitative Quantitative
Divergent / Convergent It is wider approach It is narrow approach as
compare with qualitative
Conceptual It is related with
understanding of human
perceptions and their
behaviour and provides
decision on the basis of human
nature (Sekhobo, at. et 2017).
It is related with discovering
of facts and information based
on social phenomena
Data Exploratory data Explanatory data
Origin Holistic, process orientation Focuses outcome orientation
Nature of element Subjective nature Objective nature
Types of question What are...
What is...
How do......
A or B?
How much?
Findings Comprehensive holistic
description
Precise, numerical.
Sample Small, purposeful Large, random, representation
Goal Underrating of all scenario Predication, test, hypothesis.
Methods In depth interview,
observation, reviving
documents.
Survey, measuring small,
questionnaire.
3

 Interpretation: Both qualitative and quantitative tool of measurement help in finding
and analysis of data both have different methods of collection of data in normal research
program only one technique has been used to collection of data but in strategies mixed
method both method of data collection as been used with each other. Quantitative and
qualitative data had been applying but researcher the interpretation research finding to
public they say both data mixed them up to provide better finding an it will also help in
taking better decision regarding to works (Debono, at.et.2016).
 Research Finding
Researchers need to find better a way to represent their data.
They need to follow ethical rules of the research
CONCLUSION
From the above analysis it has been identified that mixed method valuation strategy has
been used to applying of various strategies method while analysis of data. It is consider by
researcher to finding out effective decision. For this they use qualities and qualitative data
collection method. Qualitative data only consider non numerical value and researcher find it by
interview and data observation method on the other hand quantitative method has been used in
order to collect data which can be interpret in numerical term, For this researcher use pool,
survey, method. Both methods are used to with each other in order to represent data in effective
way.
4

REFRENCES
Books and journal
Riazi, M., & Emami, A. (2018). Residential satisfaction in affordable housing: A mixed method
study. Cities, 82, 1-9.
Esterhuizen, W., & Martins, N. (2015, June). A mixed method approach to evaluate the impact
of coaching on safety leadership. In eds. F. Bezzina and V. Cassar, Proceedings of the
14th European Conference on Research Methodology for Business and Management
Studies, University of Malta, Valetta (pp. 428-436).
Sekhobo, J. P., Peck, S. R., Byun, Y., Allsopp, M. A., Holbrook, M. K., Edmunds, L. S., & Yu,
C. (2017). Use of a mixed-method approach to evaluate the implementation of retention
promotion strategies in the New York State WIC program. Evaluation and program
planning, 63, 7-17.
Debono, D., Travaglia, J. F., Dunn, A. G., Thoms, D., Hinchcliff, R., Plumb, J., ... &
Braithwaite, J. (2016). Strengthening the capacity of nursing leaders through multifaceted
professional development initiatives: A mixed method evaluation of the ‘Take The
Lead’program. Collegian,23(1), 19-28.
5

6