data analysis and interpretation ppt

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

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