Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser .
Enter the email address you signed up with and we'll email you a reset link.
- We're Hiring!
- Help Center
Download Free PDF
PRESENTATION, ANALYSIS AND INTERPRETATION OF DATA
This chapter deals with the presentation, analysis and interpretation of data. The researchers gathered information and discussed the finding in a sequential manner in line with the statement of the problem indicated in the study.
Related papers
Data analysis is the process of bringing order, structure and meaning to the mass of collected data. It is a messy, ambiguous, time consuming, creative, and fascinating process. It does not proceed in a linear fashion; it is not neat. Data analysis is a search for answers about relationships among categories of data."-Marshall and Rossman, 1990:111 Hitchcock and Hughes take this one step further: "…the ways in which the researcher moves from a description of what is the case to an explanation of why what is the case is the case."-Hitchcock and Hughes 1995:295
This chapter presents the data gathered on the field for the purpose of the study. Demographic and preliminary analysis of data and statistical presentation of results from the questions raised were carried out. Four hundred (400) questionnaires were administered and retrieved successfully. And this represents a response rate of 100%.
The analysis and interpretation of data about wearing high heels for female students of Ligao community college., 2018
The analysis and interpretation of data about wearing high heels for female students of Ligao community college. To complete this study properly, it is necessary to analyze the data collected in order to answer the research questions. Data is interpreted in a descriptive form. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study. The analysis and interpretation of data is carried out in two phases. The first part, which is based on the results of the questionnaire, deals with a qualitative analysis of data. The second, which is based on quantitative analysis. The unit of analysis is the major entity that the researcher going to analyze in the study. It is not 'what' or 'who' that is being studied. Researchers were collecting the data or information from the following female student for the completion of the study 100 questionnaires were distributed, only 80 was retrieve, some students did not completely answer the given data, few of them with a lot of missing data, while the remaining students answer well on the given questionnaire. The researchers use table in order to easily identify the data and interpret it according to the response of the following female students. In order to get the percentage of the following data we use the formula P=the value or the frequency/ by total respondent, (100) multiply (100). Table 1.
Indian Journal of Anaesthesia, 2016
It important to properly collect, code, clean and edit the data before interpreting and displaying the research results. Computers play a major role in different phases of research starting from conceptual, design and planning, data collection, data analysis and research publication phases. The main objective of data display is to summarize the characteristics of a data and to make the data more comprehensible and meaningful. Usually data is presented depending upon the type of data in different tables and graphs. This will enable not only to understand the data behaviour, but also useful in choosing the different statistical tests to be applied.
This stage will: • Explain different types of qualitative data analysis • Explain different types of quantitative data analysis • Help you to interpret the results of your data analysis Once you have decided on your method of data collection and have gathered all of the data you need, you need to decide how to analyze and interpret your data. This can be done in a variety of ways, and will depend on whether you used qualitative, quantitative, or mixed methods of data collection. How Do I Analyze and Interpret Qualitative Data? The first thing to do is to read through all of your textual material, listen to all of your audio material, and look carefully at all of your visual material. You have to have a holistic sense of what you have and you have to form some preliminary impression as to what it all means. "Preliminary" is emphasized here because as you go through the materials in any systematic way, your first impressions must be changed if necessary. We can think of organizing your analysis and interpretation in terms of: • Ways of measuring from your qualitative material: This may be, and mostly is, nothing more complicated than sorting things into kinds so the measurement is nominal. • Establishing meaning: We have "patterning" as one style and "understanding" as another. Of course we tend to do both as we work through the materials. Some formal methods have both approaches built into them. You may organize your analysis using one of these methods. Or you may choose to use one or more in combination. However, when using multiple methods, careful consideration must be given to integrating the resulting disparate elements into an overall synthesis. Classification involves sorting things into kinds. This can be a process of classifying and naming elements as a measurement device. Or it can involve the development of a system of concepts. It can be both. Induction is a more or less formal development of hypotheses on the basis of elements of the material which are tested against other elements. Content analysis involves elements in the material being counted in order to generate a set of numbers for statistical analyses. This can be very simple. For example, the number of times an issue is identified in a set of interviews can be counted and reported on as a frequency count. More complex statistical approaches are appropriate if there are a very large number of cases. Qualitative comparative analysis (QCA) is the systematic description of cases, in terms of the presence or SAGE 2017 SAGE Publications, Ltd. All Rights Reserved.
Instrumental Analyses of Pollutants, Elsevier Science …, 1991
This chapter presents the data gathered, the results of the statistical analysis done and interpretation of findings. These are presented in tables following the sequence of the specific research problem regarding the Effectiveness of Beat Patrol System in of San Manuel, Pangasinan.
session plan for LO2
Sekilas tentang protein
Journal of Solid Mechanics and Materials Engineering, 2007
Revista Carioca de Direito , 2022
Libro de Actas del Congreso CUICIID 2017, 2017
Annuaire International de Droit Constitutionnel XVI (2000). Economica-Pressses Universitaires d’Aix-Marseille, 2001, pp. 209-245. ISBN: 2-7178-4318-3 / ISSN: 0995-3817, 2001
Pazynych Vasyl
Micromega, 2022
HTS teologiese studies, 2024
BRADO NEGRO, 2017
Acta horticulturae, 2003
American journal of finance, 2022
Symmetry, 2022
Lecture Notes in Computer Science, 2008
Journal of the American College of Cardiology, 1998
Zootaxa, 2006
Humanities science current issues
Biomedical optics express, 2017
- We're Hiring!
- Help Center
- Find new research papers in:
- Health Sciences
- Earth Sciences
- Cognitive Science
- Mathematics
- Computer Science
- Academia ©2024