Research philosophy
The research philosophy used in the particular research helps in understanding the knowledge
developed via systematic philosophical paradigm. The understanding of the knowledge is
broadened with a synchronized perspective of the worldview. To analyse and evaluate the
topic framed under the current research a positivism philosophy has been approached. The
positivism philosophy has been induced because the resultants of the research could be well-
formulated via a statistical and mathematical approach and infest quantitative data
evaluations. The role of leaders in managing diverse team induces developing of several
hypotheses and assumptions related to the research (Ryan,2018). The research claims upon
varied epistemology and doxology variables, which assures about the certainty and the
integrity of the data induced in the research. With the implication of the positivism
philosophy, the research has been delved with acute diversity and thus eliminated personal
bias presenting eventual information. The research has undergone a series of questionnaires,
empirical test’s as well as group discussions to evolve out logical presentations and decisions
implemented into the research.
Research approach
The research approach claims the whole planning of the research and how the research has
been evaluated with implementations of numerous techniques. The research approach used
into the research has been based upon collecting and analysis of data, interpreting data using
broad assumptions as well as implications of theories and explanations. In the opinion of
Woiceshyn and Daellenbach (2018), deductive and inductive research approaches help in
figuring appropriate detailed analysis of the presented data. It helps in gathering potential
data, formulate relevant theories based on such data, and thus helps in acquiring the research
objectives. The current research has initiated a deductive theory as because the role of project
leaders in managing diverse team has been influenced by the modification of a hypothesis.
The strategies proposed in the research has been based on the developed hypothesis. The
deductive theory has also helped in inducing numerous frameworks, relevant theories
alongside with statistical assumptions of the implemented data. The hypothesis proposed with
the help of the deductive theory has been essential in figuring out the constraints project
leaders faces during diverse team management as well as ascertained with strategies to
encounter such problems. Due to the intaking of varied theories, assumptions and frameworks
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the details presented into the research via the approach of the deductive theory are quite
scientifically significant in drawing towards effective results.
Research design
The research design helps in studying the phenomenon and techniques utilized to formulate
the research. This helps in summoning effectiveness in answering each objective of the
research and thus enumerating a more synchronized format of the given research. Each
research design such as the deductive, explanatory as well as the exploratory helps in proper
analysing of the techniques to be formulated and thus evolve study every phenomenon of the
paper through a detailed manner. Descriptive research design has been initiated into the
current research and thus the use of qualitative and quantitative research methodologies for
gathering data has been quite efficient (Whalon et al. 2015). Descriptive research implements
varied methods to study and analyse every certain variable of the research and thus figure out
statistical assortments and unique technologies to frame more prominent research. The
descriptive research design is considered whenever the research is formulated with scientific
and statistical approaches and thus hardly do interpret variables. In the current research, the
role of project leaders facing endeavours while managing diverse team has been initiated with
certain scientifically theories and observations deriving a more appropriate answer to the
proposed objectives (Paraponaris et al. 2015).
Data collection method
Specific research studies are particularly upheaved with mixed methodologies including both
quantitative and qualitative variables. Qualitative variables give a broader outlook on the
proposed research study comprehending with a systematic view of literature as well as
comprising of detailed analysis of journals, events as well as academic articles. The
quantitative data collection methodology enumerates data based on statistical and
mathematical approach. In the current research figuring out of exact data to encircle the role
of project leaders into the managing of diverse teams has been more precise towards a
statistical, scientifically and mathematical approach. A quantitative methodology has been
induced into the research, which proposes the appropriateness of the encompassed variables
used in the research. In the opinion of Gundry and Deterding (2019), a quantitative data
collection technique is more appropriate and ascertain exact figures required to analyse the
given research. The data implemented in the research has analysed the constraints faced by
project leaders through a figured format representing statistical data to support the case. The
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research has also been upheaved with zero research duplication as because quantitative data
methodology outcasts appropriate and statically proven data acclaimed as real-time data.
Data collection sources
To formulate more appropriate results and relevant answers to the given facts and variables
induced in the research data collection sources has been prolonged with precise focus. The
data collection strategy for the current research has been ensured via both primary and
secondary sources. Role of project leaders into the managing of diverse teams has been
entangled with the study of book, articles, journals and peer-reviewed literature. These
secondary sources of data collection have been quite useful into gathering resources required
to frame and figure out an exact study of numerous statistical information related to the topic.
The primary sources of data collection have been mostly focused on interviews and surveys.
The primary method has been selected because the quantitative research infused needs a
lookout of proper experiments and replicating tests (Andrade et al. 2018). Direct alignments
with team leads as well as project managers have enriched towards inducing precise and non-
manipulated data into the research and thus framed proper reasoning for every research
objectives. The primary collection method has also focused upon group assortments of data
study thus figuring out the most appropriate variables required to be initiated.
Sampling
To formulate precise and systematic data acquisition the sampling process has been adjusted
focusing upon a restricted population. In the opinion of Gentles et al. (2015), data sampling is
a statistical analysis technique used to select, manipulate and analyse a representative subset
of data points to identify patterns and trends in the larger data set being examined. The
current research has been focused on the conventional mode of sampling. The convenience
mode of sampling incurs that data should be framed with a non-profitable motto drawn upon
a chosen population close to hand. The role of project leaders managing diverse team has
been conducted with varied primary and secondary sources registering a group of 100
employees. These employees summoned to be the main target audience of the research and
the experiments acknowledging the theories and frameworks have been depended based upon
these employees. The research has been quite successful in engaging these 100 employees
taken into consideration with numerous questionnaires and surveys. Interviews to gather
precise information was enhanced based upon these 100 employees. The focused 100
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employees population has given broader emphasis on the constraints of the project leaders
and the main diversion into the role of the project leaders while managing diverse teams.
Data analysis techniques
The current research has comprehended with certain data analysis techniques by the varied
process of significant research. Analysis of the given variables and systematic literature for
the current research has induced with the help of graphical and pictorial representations.
Statistical and mathematical flowcharts have too enumerated the given data and thus outcasts
the highlighted objectives of the ensured research dilemma. Data mining or text analysis has
also been one of the most proposed factors that have been comprehended to register a more
appropriate analysis and thus entrenched variables without minute manipulation. Descriptive
and predictive analysis has also registered a more comprehended paradigm, which resembles
the sorting, and evaluating of the numerical referred in the research. The predictive analysis
has been initialized with the help of the secondary sorts of data collection thus predicting the
outcomes and the consequences of the results through a more precise academic study. MS
Excel and other software’s have also been used to represent the data in a more formative
manner thus analysing and choosing the more appropriate data to be focused upon through
the whole research. The gather study has been analysed through a more critical manner
referring to a systematic and inductive study of literature relating to basic facts that might be
more engaging and relatable.
Ethical considerations
The research has been infused with proper integrity revising upon the ethical codes
implemented by the provided university. The research has been implemented with only
reliable and appropriate data sources without manipulation of variables and information. The
sources used in the precise research has been acknowledged in the reference section and thus
no plagiarism has been efficient into the research. The process of the research was a non-
profitable one and thus external pressure on the focused group has been a non-accomplished
agenda of the research. None of the interviews conducted was advertised with the personal
details of the targeted audiences thus keeping up with the scores of ethical consideration.
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References
Andrade, S.R., Schmitt, M.D., Storck, B.C., Piccoli, T. and Ruoff, A.B., 2018. Documentary
analysis in nursing theses: data collection techniques and research methods. Cogitare
Enferm, 23(1), p.e53598
Gentles, S.J., Charles, C., Ploeg, J. and McKibbon, K.A., 2015. Sampling in qualitative
research: Insights from an overview of the methods literature. The qualitative report, 20(11),
pp.1772-1789.
Gundry, D. and Deterding, S., 2019. Validity threats in quantitative data collection with
games: A narrative survey. Simulation & Gaming, 50(3), pp.302-328.
Paraponaris, C., Sigal, M., Khedhaouria, A. and Jamal, A., 2015. Sourcing knowledge for
innovation: knowledge reuse and creation in project teams. Journal of Knowledge
Management.
Ryan, G., 2018. Introduction to positivism, interpretivism and critical theory. Nurse
researcher, 25(4), pp.41-49.
Whalon, K.J., Conroy, M.A., Martinez, J.R. and Werch, B.L., 2015. School-based peer-
related social competence interventions for children with autism spectrum disorder: A meta-
analysis and descriptive review of single case research design studies. Journal of autism and
developmental disorders, 45(6), pp.1513-1531.
Woiceshyn, J. and Daellenbach, U., 2018. Evaluating inductive vs deductive research in
management studies. Qualitative Research in Organizations and Management: An
International Journal.
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