data analysis and interpretation ppt

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

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