The following presentation needs to edited to show the following: NO more than 10 slides Total. The wording in each slide are the "narrative/speaker notes". See the attached Microsoft Word document for the layout of each section that is "bolded" in black. for the section, what needs to be is this: Each slide needs to be bulletized by that corresponding ALONG with images/visual aid, etc. for the data collection slides, please show a QUAL graph/diagram.
10 Mixed Research Methodologies Name Institution, Department Course Name, Course Number Instructor (Name and Title) Assignment due date Constructing a Mixed Research Design In designing a mixed sample, researchers should grasp each aspect of the mixed-method design, carefully analyze it, and still keep a close eye on the validity question. To achieve a robust design, a set of guidelines for planning an operation must be carefully considered. It does not guarantee a good specification to comply with these laws, but it contributes to it. A mixed-method approach distinguishes a mixture of at minimum one qualitative and one quantitative analysis variable. The term "mixed approaches" refers to a new analysis approach that promotes systemic mixing or blending in a single study or ongoing research program, including quantitative and qualitative results. This approach's underlying theory is that such integration allows for data to be used more fully and synergistically than discrete, quantified and qualitative data collection and review. Its procedures were developed and modified over the last decade to answer different test questions (Creswell et al., 2011). These methods include developing rigours, providing alternative mixed methodology design, defining and explaining concepts to improve coordination between disciplines, seeing procedures in a diagram, assessing research questions that may be of particular interest to the integration and developing rationales for conducting various mixed methods. There can be a wider spectrum with one strategy; the other can be wider and mutually validated. For example, predictive analytics may measure the effectiveness of leadership growth and use qualitative insights to understand how social capital creates leadership. Mixed methods are required since they provide better options and allow the researchers to assess the 'goodness' (Teddlie & Tashakkori, 2009). Comparing models of individual systems mixed methods may be perfect. Mixed approaches to design address questions other paradigms cannot tackle. Research Purpose and Design Analysis design aims to translate research issues into techniques and methods that efficiently address these questions. The techniques and methods employed in carrying out the study rely on the formulation of the research question. A mixed approach analysis may include a general query covering all areas of the study or may have sub-questions that direct the components of qualitative and quantitative data gathering independently. The design addresses primarily the needs, purposes, intentions and plans of the site, time, resources, and personnel availability within realistic constraints. The research architecture connects a research objective or query to a suitable data collection system and a number of c results. The research typology in the social sciences was established by Newman et al. (2003). They include (1) prediction, (2) the enhancement of expertise, (3) individual, social, institutional and/or organizational influence, (4) the calculation, (5) perception of complicated phenomena, (6) the testing of new ideas, (7) new concepts, (8) the informal growth, (9) past examination. These can all be done in the sense of the scientific architecture of hybrid methods. In order to be regarded as actual mixed-method research, legitimate 'data incorporation in one or more phases of testing' must be carried out (Creswell et al., 2003). In addition to sufficient sources (budget, time, software) and experience in conducting mixed-method studies (researchers skilled in qualitative and quantitative approaches and incorporation of data using both methods), the design process of the analysis (aims, priorities, sequencing and the incorporation of study components) involves effective development. Concurrent triangulation In this research, the design employed is the concurrent triangulation mixed method. A study paradigm incorporates qualitative and quantitative approaches for collecting knowledge for a comprehensive study that examines several variables. The word 'concurrent triangulation' in a number of triangulation trials is derived from three resulting test thresholds: quantitative levels and qualitative levels, followed by quantitative comparisons of the results of the other two studies. Its objective is to reduce the weight assigned to each collection of data. Instead, the conclusions produced by various approaches are compared to enhance their validity. Different triangulation types test the validity dependent on various variables. It improves the efficacy and reliability of current findings on a particular case. Where the results coincide, new credible discoveries may also be produced about a problem or phenomenon and different ways of seeing a situation or a phenomenon. Most significantly, a condition or a pattern can be best understood. Purpose of Triangulation · Triangulation is mainly aimed at increasing the legitimacy and relevance of education and social science studies' findings. · It enhances trust in scientific evidence, creates new ways of interpreting a phenomenon, reveals remarkable results, challenges and integrates hypotheses. · It gives a better view of the intricacy. · It collects a range of data on the corresponding topic. · To employ each method's power to address the other's shortcomings. · To improve the feasibility and authenticity and solve the shortcomings of single method studies. There are different kinds of triangulation. They include the following; Data triangulation, Investigator triangulation, theory triangulation, and methodological or method triangulation. Data triangulation- Data triangulation involves the use of a number of data points in an analysis, including time, space and people. Results must be corroborated and any data shortcomings compensated with other data strengths, and so the quality and dependability of the results may be increased. In several areas, the method was used to strengthen results and decrease the likelihood of misinterpretations. Investigator triangulation- Investigator triangulation uses other researchers, interviewers, observers, investigators and data analysts in a study. Without previous discussion or coordination with the researchers, the opportunity to validate conclusions will significantly increase the results' reliability. Triangulation of the investigators is especially critical in collecting, reporting, or analyzing studies for declining bias. Theory triangulation- It entails the application of several theories or ideas in the evaluation of a phenomenon. The purpose is to examine from multiple angles at a condition/phenomenon, using various lenses and considering distinctive questions. The different approaches or evidence must not be identical or harmonious; in effect, the more divergent they are, the more likely the various problems and questions will be identified. Methodological or method triangulation- It consists of using a range of strategies to research a situation. The aim is to lessen the deficiencies and preconditions resulting from anyone process. This form of triangulation is somewhat similar to the mixed methods of research into social science used to increase, improve, and explain a specific process's outcomes. There is also a variation in data triangulation, emphasizing the use of data collected by various techniques as contrasts with data collected for various services, sites, cultures, etc. Data collection Our data will be gathered using various methods and datasets using case studies techniques. The data from literature publications will be compiled, including data from previously extant texts that can be accessed online. Literature brochures can contain publications from textbooks, libraries, journals, online publications, private and government sector publications. The following sources will gather our information: Observations and archival information The foundation of the study is experiences and visits. In order to complement documentary material and question and answer visits and insights to the session, we will then draw on a dependable friendship with one investigator. Following a preliminary consultation, we will ask to work in various corporate events, seminars and seminars with the workers informally. Observations, including newspaper papers and financial statements, would be accompanied by an overview of written documents on public and private publications. Data from recent case studies by internal environmental consultants was presented and validated by the results and proof gathered. Open-ended questionnaires The architecture of the questionnaire addresses particular variables, i.e. the connection between leadership development and social capital growth. Simultaneous assumptions, seminars, visits, and papers will facilitate understanding the importance, status, and social capital of business partnership activities. The questionnaires will help study the fundamental issues to be addressed by the participants to understand the connections between the administration and the growth of social capital. Semi-structured interviews with interdisciplinary managers The attitudes and opinions of organizational participants are included in the study to understand how leadership development activities influence social capital. The thesis, therefore, focuses on the data collected between business cross-company managers. As shown by Creswell et al. (2003), inductive and qualitative sampling technologies include complex processes and factors, rather than inferential or quantitative, with precise and functional inputs (Creswell et al., 2003). We wanted to look for expert managers who have focused on emerging business development streams for businesses. Contrast them in community cooperation with less experienced managers. We have a selection of cooperative industry executives who happen to have the right amount of experience, with internal experts' help. Then each boss is called to arrange an interview date by cellphone. Analysis According to Bhattacherjee, A. (2012), summarizes the statistics used for classification and testing summarise the mean and expectations of management development behaviour, employee organizational involvement, and job performance between all the analysis criteria (Bhattacherjee, A., 2012). In the contents of the interview technique, the data is analyzed. While it is proposed that qualitative data may have no systemic interpretation method, the data transcribed in the sample are coded depending on the essential aspect and inquiries. The answers were examined and grouped into new topics. The quantitative information derived from the procedure needs to be qualitatively analyzed to give the research proof required using observations and explanations. In addition, multiple usability tests may examine the relationship between autonomous and dependent actions when a single parameter-dependent variable is deemed linked to several parameters, various variables and regression tests. Strengths of Concurrent triangulation Cross-validation In research studies, the main benefit of triangulation designs is the potential to reach a consensus and validate conclusions using different research approaches. If different research approaches reach the corresponding resolution, the researcher can be more assured that the verdicts really show what happens and not how the data are collected (Murdock, & 2017). Balance between methods Histories, discovery, contextualization, introspection and hypothesis building depend on qualitative analysis methods. Limited samples of individual occurrences are used, and detailed examination is carried out. In contrast, broad categories, trends and trends are the subject of quantitative analysis (Murdock, & 2017). By combining these approaches, a researcher can use quantitative analysis to discover patterns and inconsistencies, then use qualitative methods to examine them to figure out why these are occurring and the ideas of the persons. Investigator triangulation Another method of using triangulation entails the collection of data from two or more scholars. This practice compensates for the prejudices of researchers and for the prevention of the various conclusions that a researcher might make about the outcome of a sample. Limitations of concurrent triangulation Triangulation's disadvantages include the lack of a standardized triangulation system. Triangulation users often struggle to adequately describe their approaches and use different tools to combine data. Another challenge is the absence of proper instruction in qualitative or quantitative approaches to carry