data analysis and interpretation ppt

Not all data can be analyzed and delivered accordingly without the presence of a data analysis and the report that will sum up the results of the activity. It’s almost like read:comprehend::analyze:interpret to put it in a logical notation. The goal is to make the findings part of a comprehensive body of theory either by working within a theory or by generating an original theory. You can change your ad preferences anytime. How to be Smart About Research in 8 Hours or Less. It does not proceed in a linear fashion; it is not neat. Data Analysis & Interpretation. ANALYSIS and INTERPRETATION provide answers to the research questions postulated in the study. See our Privacy Policy and User Agreement for details. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Presentation of data requires skills and understanding of data. Presentation, analysis and interpretation of data, Data Analysis, Presentation and Interpretation of Data, Importance and interpretation of data in life and business, DATA ANALYSIS, INTERPRETATION AND PRESENTATION, Qualitative Data Analysis and Interpretation, No public clipboards found for this slide. Data analysis is a process for obtaining raw data and converting it into information useful for decision-making by users. Chapter 4 PRESENTATION, ANALYSIS AND INTERPRETATION OF DATA Presentation 2. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study. Data visualization does not need to be stressful or time-consuming. dspace.nwu.ac.za. This is a slide presentation by Martin Otundo Richard to help learners, researchers and other scholars to understand how data is analyzed and presented. View course details in MyPlan: QMETH 501. analysis and interpretation of data, when he posits that the process and products of analysis provide the bases for interpretation and analysis. The process of data interpretation is usually cumbersome, and should naturally become more difficult with the best amount of data that is being churned out daily. (PPT) Presentation, Analysis and Interpretation of data | Lovely Ann H Azanza - Academia.edu Academia.edu is a platform for academics to share research papers. - Matin Movassate If you are to choose the right data analysis plan for your study, it is first pertinent to collect qualitative data. Its purpose is to reduce data to intelligible and interpretable form so that the relations of research problems can be studied and tested. Chapter 4 investigates the inherent meaning of the research data obtained from the empirical study. Academia.edu is a platform for academics to share research papers. Let’s have a look at the five best free tools for data analysis and visualization: 1. Qualitative analysis identifies themes and patterns. analysis and interpretation of data, when he posits that the process and products of analysis provide the bases for interpretation and analysis. Qualitative data analysis is a search for general statements about relationships among categories of data." Title: Analysis and interpretation of data 1 Analysis and interpretation of data . Types of Data Analysis 3. simplest form of quantitative (statistical) analysis carried out with the description of a single variable in terms of the applicable unit of analysis RESEARCH 101 TRAINING. Academia.edu is a platform for academics to share research papers. If you continue browsing the site, you agree to the use of cookies on this website. Now customize the name of a clipboard to store your clips. Session 3: Data analysis, interpretation, and presentation. This involves interpreting data to answer research questions and making research findings be ready for dissemination. Data analysis and interpretation Epidemiologists often find data analysis the most enjoyable part of carrying out an epidemiologic study, since after all of the hard work and waiting they get the chance to find out the answers. 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. DATA INTERPRETATION. Now customize the name of a clipboard to store your clips. Results and inferences are dependent on the study design, Method of selection of subjects for the study, Size of the sample used for the study, Conduct of study. 1 DATA ANALYSIS AND INTERPRETATION 2. Data visualization is the process of putting data into a chart, graph, or other visual format that helps inform analysis and interpretation. Both types of analysis need to be interpreted to make sense of the information they give you. As we have seen all along this article, there is an art and science to the interpretation of data. and tested. Study Design The aim of study design is: to maximise attribution (inferences), to minimise all sources of error, to be practical. conclusions about these relations. 21. Results and inferences are dependent on the study design, Method of selection of subjects for the study, Size of the sample used for the study, Conduct of study. No doubt, that it requires adequate and effective different types of data analysis methods, techniques, and tools that can respond to constantly increasing business research needs. Data analysis is, therefore, a process that involves examining, and molding collected data for interpretation to discover relevant information, draw or propose conclusions and support decision-making to solve a research problem. ANALYSIS means the ordering, manipulating, and summarizing of data to obtain answers to research questions. Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening. • Qualitative analysis is easier than quantitative analysis • Data have their own meaning • Stating limitations weakens the evaluation • Computer analysis is always easier and better We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. A presentation on how to prepare the fourth chapter of a thesis. File Format. It is necessary to make use of collected data which is considered to be raw data. If you continue browsing the site, you agree to the use of cookies on this website. Is the process of organizing data into logical, sequential and meaningful categories and classifications to make them amenable to study and interpretation. Interpreting data through analysis is key to communicating results to stakeholders. Data-Driven Documents (D3.js) Over the past few years, Data-Driven Documents has proved to be one of the best libraries for visualizing data that is available for free. The measuring instrument was discussed and an indication was given of the method of statistical analysis. This GLOMACS Data Analysis Techniques training course has been designed for professionals whose jobs involve in the manipulation, representation, interpretation and/or analysis of data. form so that the relations of research problems can be studied Meaning-making can refer to subjective or social meanings. PPT - Data Analysis and Interpretation - Free download as Powerpoint Presentation (.ppt / .pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online. chapter, data is interpreted in a descriptive form. data interpretation and data sufficiency. Analysis refers to breaking a whole into its separate components for individual examination. Data visuals present the analyzed data in ways that are accessible to and engage different stakeholders. Looks like you do not have access to this content. In fact, data mining does not have its own methods of data analysis. For data collected from diverse sources and means need precise data analysis methods and tools to get precise information from them. Analysis and presentation of data 4.1 INTRODUCTION This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers who visited one of the two participating well-baby clinics in the Piet Retief (Mkhondo) area during 2004. Begin the discussion with a summary of the main findings. This raw data must be processed to be used or for any application. ANALYSIS means the ordering, manipulating, and Getting insight from such complicated information is a complicated process. 12 INTERRELATIONSHIP BETWEEN ANALYSIS AND INTERPRETATION • There was an unusual demand during advertisement 2 in city C, otherwise three advertisements did not differ significantly in any city. DATA ANALYSIS AND INTERPRETATION Getting Data Ready for Analysis Editing Data Open-ended questions Questionnaire data have to be checked for incompleteness and ... – A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow.com - id: 850411-ZTA5N INTERPRETATION gives the results of analysis, makes The answers to this problem are presented below and It is therefore not an empty ritual, carried out for form‟s sake, between doing the study, and interpreting it, nor is it a bolt-on feature, which can be safely ignored until the data are collected. Data analysis, interpretation and presentation - Data analysis, interpretation and presentation | PowerPoint PPT presentation | free to view . Data analysis is, therefore, a process that involves examining, and molding collected data for interpretation to discover relevant information, draw or propose conclusions and support decision-making to solve a research problem. Polytechnic University of the Philippines, Data Analysis, Presentation and Interpretation of Data, Chapter 4 PRESENTATION, ANALYSIS AND INTERPRETATION, No public clipboards found for this slide, Presentation, analysis and interpretation of data. It is a messy, ambiguous, time-consuming, creative, and fascinating process. Social analysis - (it is frequently qualitative because the understanding of the phenomenon under study may not require quantification or because the phenomenon itself does not lend itself to precise measurement). Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of … PDF | On Sep 25, 2015, Vijayamohanan Pillai N published Data Analysis and Interpretation | Find, read and cite all the research you need on ResearchGate Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. See our User Agreement and Privacy Policy. Data analysis and interpretation . We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Data Analysis Interpretation for Reporting Purposes Example. July 13, 2017 @ 5:30-7:00 p.m. Eastern Data analysis helps in the interpretation of data and help take a decision or answer the research question. Its purpose is to reduce data to intelligible and interpretable Data Analysis Questions. See our Privacy Policy and User Agreement for details. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 trillion gigabytes! Despite the inherent independence of tables and text, include in the body of the report sufficient analytical and summary statements derived from each table to provide the reader a comprehensible and logical interpretation of findings. Would you like to get the full Thesis from Shodh ganga along with citation details? Analysis of data is a vital part of running a successful business. There will be 35 questions carrying a total of 60 marks and 45 minutes is allotted to this section.  Interpretation of Data  After analysis of data and the appropriate statistical procedure, the next chapter of the research paper is to present the interpretation of the data, which is the final step of research process. The three areas:  Summary of Findings  Conclusions  Recommendations PPT - Data Analysis and Interpretation - Free download as Powerpoint Presentation (. data analysis is confirmatory; that is, it seeks to establish whether predictions have been confirmed by the data. A data analysis report can allow your business to interpret data in usable and meaningful manners. Familiarity with a PC and in particular with Microsoft Excel (2003, 2007, 2010 or 2013) is assumed. Watch Queue Queue "Data analysis is the process of bringing order, structure and meaning to the mass of collected data. Group 9 2. Mean, Median, Histogram (tallest … IDSP training module for state and district surveillance officers ; Module 9; 2 Learning objectives. Quantitative analysis generates frequencies, averages, and levels of difference that exist in your data. *2. individually scored raw data should not be reported in the text. This video highlights 5 top tips to help you engage effectively with data. There are two categories of this type of Analysis - Descriptive Analysis and Inferential Analysis. Data analysis helps in the interpretation of data and help take a decision or answer the research question. PDF; Size: 1 MB. Epidemiologists often find data analysis the most enjoyable part of carrying out an epidemiologic study, since after all of the hard work and waiting they get the chance to find out the answers. Group 9 2. RESEARCH 101 TRAINING. Watch Queue Queue. Hereafter is a list-summary of how to interpret data and some tips: Clipping is a handy way to collect important slides you want to go back to later. Title: Data analysis, interpretation and presentation 1 Data analysis, interpretation and presentation 2 Overview. • Analysis comes at the end when there is data to analyze. This raw data must be processed to be used or for any application. How to be Smart About Research in 8 Hours or Less. The aim of good data graphics: Display data accurately and clearly Some rules for displaying data badly: –Display as little information as possible –Obscure what you do show (with chart junk) –Use pseudo-3d and color gratuitously –Make a pie chart (preferably in color and 3d) –Use a poorly chosen scale 4. You can change your ad preferences anytime. Since Qualitative analysis is more about the meaning of the analysis, it is too confusing with unstructured and huge data. Such confirmatory data analysis (CDA) is the mainstream approach in statistical analysis (Robson, 2002:399) and was utilised in the analysis of the questionnaires in this study. July 13, 2017 @ 5:30-7:00 p.m. Eastern Hence it is typically used for exploratory research and data analysis. ANALYSIS and INTERPRETATION provide answers Our modern information age leads to dynamic and extremely high growth of the data mining world. Program staff are urged to view this Handbook as a beginning resource, and to supplement their knowledge of data analysis procedures and methods over … Download. 1. If you continue browsing the site, you agree to the use of cookies on this website. The preparation and reproduction of figures are more time-consuming and more expensive than those of tables. Data Collection & Data Analysis Service for Your Project /Thesis/Research Report - Data collection is gathering of information from different sources, and data analytics is procedure of getting useful result from it. Finally is Data analysis data conversion. Quantitative data is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated with it. Together with your team and other important stakeholders you interpret your data set by giving meaning to it. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. 1. It analyses a set of data or a sample of data. Data interpretation and analysis is an important aspect of working with data sets in any field or research and statistics. Presentation, analysis and interpretation of data 1. Data Analysis, Presentation and Interpretation of Data 1. Learn more about the common types of quantitative data, quantitative data collection methods and quantitative data analysis methods with steps. Disparate – dissimilar; unlike; different. Why do we see conflicting results in studies?

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