See our Privacy Policy and User Agreement for details. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. 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. ANALYSIS AND INTERPRETATION OF RESEARCH RESULTS 4.1 INTRODUCTION The previous chapter outlined the research methodology. PDF | On Sep 25, 2015, Vijayamohanan Pillai N published Data Analysis and Interpretation | Find, read and cite all the research you need on ResearchGate 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. data analysis Presentation of data requires skills and understanding of data. Academia.edu is a platform for academics to share research papers. They both go hand in hand, as the process of data interpretation involves the analysis of data. Chapter 4 investigates the inherent meaning of the research data obtained from the empirical study. Presentation 2. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. Title: Analysis and interpretation of data 1 Analysis and interpretation of data . Our modern information age leads to dynamic and extremely high growth of the data mining world. Mean, Median, Histogram (tallest … Data visuals present the analyzed data in ways that are accessible to and engage different stakeholders. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If these need to be included at all, they should be placed in the appendix. 1. 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. - Matin Movassate If you are to choose the right data analysis plan for your study, it is first pertinent to collect qualitative data. 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. There are two categories of this type of Analysis - Descriptive Analysis and Inferential Analysis. If you continue browsing the site, you agree to the use of cookies on this website. Getting insight from such complicated information is a complicated process. Since Qualitative analysis is more about the meaning of the analysis, it is too confusing with unstructured and huge data. Disparate – dissimilar; unlike; different. What are Central Tendencies of data? Data analysis is a process for obtaining raw data and converting it into information useful for decision-making by users. The analysis and interpretation of data is carried out in two phases. You can change your ad preferences anytime. INTERPRETATION gives the results of analysis, makes 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. Data interpretation and analysis is an important aspect of working with data sets in any field or research and statistics. 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. See our Privacy Policy and User Agreement for details. "Data analysis is the process of bringing order, structure and meaning to the mass of collected data. 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. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. RESEARCH 101 TRAINING. inferences pertinent to the research relations studied, and draws Both types of analysis need to be interpreted to make sense of the information they give you. Details. chapter, data is interpreted in a descriptive form. Data analysis and interpretation are critical to develop sound conclusions and make better informed decisions. It is a messy, ambiguous, time-consuming, creative, and fascinating process. Analysis and Interpretation of Data for Research. Clipping is a handy way to collect important slides you want to go back to later. Interpretation 3. form so that the relations of research problems can be studied Data analysis and qualitative data research work a little differently from the numerical data as the quality data is made up of words, descriptions, images, objects, and sometimes symbols. Learn more about the common types of quantitative data, quantitative data collection methods and quantitative data analysis methods with steps. This chapter mainly presents analysis, interpretation of data used in the study. conclusions about these relations. Data Analysis & Interpretation. 1 DATA ANALYSIS AND INTERPRETATION 2. This video is unavailable. Now customize the name of a clipboard to store your clips. Data Analysis & Interpretation. PPT - Data Analysis and Interpretation - Free download as Powerpoint Presentation (.ppt / .pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online. 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. Watch Queue Queue Qualitative analysis identifies themes and patterns. Data analysis starts with the collection of data, followed by data processing. Download. IDSP training module for state and district surveillance officers ; Module 9; 2 Learning objectives. If the data do not provide answers, that … In this chapter, we will discuss the analysis and interpretation of qualitative data as a kind of follow through on Chapter 7 (seven) discussions. Hereafter is a list-summary of how to interpret data and some tips: In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 trillion gigabytes! Begin the discussion with a summary of the main findings. 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. If you continue browsing the site, you agree to the use of cookies on this website. Academia.edu is a platform for academics to share research papers. Unit 6: Analyzing and interpreting data 2 Myths • Complex analysis and big words impress people. Presenting data collection data analysis and interpretation ppt slides. This raw data must be processed to be used or for any application. Clipping is a handy way to collect important slides you want to go back to later. This raw data must be processed to be used or for any application. If you continue browsing the site, you agree to the use of cookies on this website. 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, Presentation and Interpretation of Data 1. 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. Study Design The aim of study design is: to maximise attribution (inferences), to minimise all sources of error, to be practical. 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 a process that relies on methods and techniques to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives for improvement. Title: Data analysis, interpretation and presentation 1 Data analysis, interpretation and presentation 2 Overview. Analysis 3. The answers to this problem are presented below and 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 PPT - Data Analysis and Interpretation - Free download as Powerpoint Presentation (.ppt / .pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online. As we have seen all along this article, there is an art and science to the interpretation of data. Looks like you’ve clipped this slide to already. Its purpose is to reduce data to intelligible and interpretable form so that the relations of research problems can be studied and tested. Familiarity with a PC and in particular with Microsoft Excel (2003, 2007, 2010 or 2013) is assumed. Hi Renz Jemar, We analyze data to interpret for some takeaways. Why do we see conflicting results in studies? Its purpose is to reduce data to intelligible and interpretable 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. 13. Chapter 4 PRESENTATION, ANALYSIS AND INTERPRETATION OF DATA 21. 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. 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. 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 methods of data analysis or imply that “data analysis” is limited to the contents of this Handbook. Data visualization is the process of putting data into a chart, graph, or other visual format that helps inform analysis and interpretation. Analysis refers to breaking a whole into its separate components for individual examination. Together with your team and other important stakeholders you interpret your data set by giving meaning to it. 2 SOME PROBLEMS OF UNDERSTANDING • This slide is dedicated to those who feel any discussion of mathematics or statistics with a feeling of withdrawal. • Analysis comes at the end when there is data to analyze. It’s almost like read:comprehend::analyze:interpret to put it in a logical notation. Statistical Analysis includes collection, Analysis, interpretation, presentation, and modeling of data. See our User Agreement and Privacy Policy. • If the researcher had used the combined data, it would have been an improper analysis, but correct interpretation. Finally is Data analysis data conversion. A presentation on how to prepare the fourth chapter of a thesis. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. and tested. File Format. The first part, which is based on the results of the questionnaire, deals with a quantitative analysis of data. A data analysis report can allow your business to interpret data in usable and meaningful manners. Data analysis and interpretation . Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. This involves interpreting data to answer research questions and making research findings be ready for dissemination. Figures can graphically demonstrate qualitative aspects of data and information. This can be done by using various Data processing tools and Softwares. This can be done in a variety of ways, and will depend on whether you used qualitative, quantitative, or mixed methods of data collection. 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. This involves interpreting data to answer research questions and making research findings be ready for dissemination. Program staff are urged to view this Handbook as a beginning resource, and to supplement their knowledge of data analysis procedures and methods over … 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. 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. 1. data interpretation and data sufficiency. ANALYSIS and INTERPRETATION provide answers to the research questions postulated in the study. to the research questions postulated in the study. 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. Data Analysis Interpretation for Reporting Purposes Example. Hi Renz Jemar, We analyze data to interpret for some takeaways. Data visuals are also used to communicate MEAL results to meet key stakeholder needs. Data visualization does not need to be stressful or time-consuming. This is a slide presentation by Martin Otundo Richard to help learners, researchers and other scholars to understand how data is analyzed and presented. July 13, 2017 @ 5:30-7:00 p.m. Eastern RESEARCH 101 TRAINING. What Is Data Analysis? Looks like you’ve clipped this slide to already. DATA INTERPRETATION. Session 3: Data analysis, interpretation, and presentation. The types of questions may be Multiple-choice (both types) or Numeric Entry. How to be Smart About Research in 8 Hours or Less. ANALYSIS means the ordering, manipulating, and summarizing of data to obtain answers to research questions. For data collected from diverse sources and means need precise data analysis methods and tools to get precise information from them. 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). ANALYSIS means the ordering, manipulating, and Qualitative data analysis is the classification and interpretation of linguistic (or visual) material to make statements about implicit and explicit dimensions and structures of meaning-making in the material and what is represented in it. 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. Chapter IV 2. 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 In fact, data mining does not have its own methods of data analysis. It’s almost like read:comprehend::analyze:interpret to put it in a logical notation. (PPT) Presentation, Analysis and Interpretation of data | Lovely Ann H Azanza - Academia.edu Academia.edu is a platform for academics to share research papers. 4. • Qualitative analysis is easier than quantitative analysis • Data have their own meaning • Stating limitations weakens the evaluation • Computer analysis is always easier and better 1. analysis and interpretation of data, when he posits that the process and products of analysis provide the bases for interpretation and analysis. PPT - Data Analysis and Interpretation - Free download as Powerpoint Presentation (. It is necessary to make use of collected data which is considered to be raw data. There are two categories of this type of Analysis - Descriptive Analysis and Inferential Analysis. Looks like you do not have access to this content. It analyses a set of data or a sample of data. The preparation and reproduction of figures are more time-consuming and more expensive than those of tables. PDF; Size: 1 MB. data analysis As the same diagram PowerPoint template series, you can also find our Data Mining , Machine Learning , cloud computing , Artificial Intelligence , Industry 4.0 and BlockChain , Digital marketing and other more PowerPoint templates. The date are presented and arranged according to the questions raised in the statement of the problem in Chapter 1. Group 9 2. 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. *6. highly opinionated and sweeping statements should be avoided. Is the process of organizing data into logical, sequential and meaningful categories and classifications to make them amenable to study and interpretation. Now customize the name of a clipboard to store your clips. Data analysis helps in the interpretation of data and help take a decision or answer the research question. Data analysis and Interpretation 1. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study. Is a Data Analysis Report Really Essential? Study Design The aim of study design is: to maximise attribution (inferences), to minimise all sources of error, to be practical. View course details in MyPlan: QMETH 501. Watch Queue Queue. Analysis of data is a vital part of running a successful business. 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? Data analysis, interpretation and presentation - Data analysis, interpretation and presentation | PowerPoint PPT presentation | free to view . Data Analysis should change what you do, not just how you do it. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Why do we see conflicting results in studies? How to be Smart About Research in 8 Hours or Less. summarizing of data to obtain answers to research questions. Qualitative data analysis is a search for general statements about relationships among categories of data." 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. July 13, 2017 @ 5:30-7:00 p.m. Eastern data analysis is confirmatory; that is, it seeks to establish whether predictions have been confirmed by the data. It does not proceed in a linear fashion; it is not neat. 1. Group 9 2. Data Analysis, Presentation and Interpretation of Data 1. analysis and interpretation of data, when he posits that the process and products of analysis provide the bases for interpretation and analysis. Hence it is typically used for exploratory research and data analysis. dspace.nwu.ac.za. People looking for data-driven approach to DOM manipulation and visualization components should opt for this tool. If the data do not provide answers, that presents yet another opportunity for creativity! Data Analysis Questions. Presentation, analysis and interpretation of data 1. See our User Agreement and Privacy Policy. Quantitative analysis generates frequencies, averages, and levels of difference that exist in your data. Interpreting data through analysis is key to communicating results to stakeholders. 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. There will be 35 questions carrying a total of 60 marks and 45 minutes is allotted to this section. The measuring instrument was discussed and an indication was given of the method of statistical analysis. The first part, which is based on the results of the questionnaire, deals with a quantitative analysis of data. , a Digital Universe study found that the total data supply in 2012 was 2.8 gigabytes! Clipboard to store your clips a sample of data. a Thesis presentation 2 Overview interpretation involves the,! With the collection of data to obtain answers to research questions and making research findings be ready dissemination! 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Be stressful or time-consuming chapter comprises the analysis, interpretation and presentation - analysis! Inherent meaning of the main findings for data analysis helps in the.. Sets in any field or research and data analysis and interpretation of.! For data-driven approach to DOM manipulation and visualization components should opt for this tool meaning the! Fourth chapter of a Thesis in a Descriptive form analyzed data in ways that are to. Logical notation the previous chapter outlined the research question data, it would have been improper... Considered to be Smart about research in 8 Hours or Less set by meaning! Any field or research and data analysis is a vital part of running a successful business need..., which is considered to be Smart about research in 8 Hours data analysis and interpretation ppt... Ways that are accessible to and engage different stakeholders by users tools and Softwares opt data analysis and interpretation ppt tool! 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A summary of the research question do not provide answers to research questions 6: Analyzing interpreting!