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Lesson 1.1-3.docx - Module 1 – Obtaining Data Lesson 1 –...

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Module 1 – Obtaining DataLesson 1 –Methods of Data CollectionDataFactual information used as a basis for reasoning, discussion, calculation, publishing, or decision-making.Types of Data1.Categorical or Qualitativea.Nominal-Letters-Hair Colors-Symbols-Words-Genderb.Ordinal-OpinionAgree, mostly agree, neutral, mostly disagree, disagree-Tumour Grade1, 2, 3-Time of dayMorning, noon, night2.Numerical or Quantitativea.Discrete/Interval-Dates200; 1000; 1500-Temperature30oC; 45oC; 60oC-pH1.2; 4.5; 7.2-IQ80; 120; 140b.Continuous/Ratio-Temperature range-Distance travelled-Time interval-Age rangeEngineering DataAny information that collectively becomes the knowledge on which an engineer can design and build theproposed end-productThis information comes as drawings, manufacturer’s specifications, and standardsData CollectionProcess of gathering information from all the relevant sources to find a solution to a research problemCOLLECTIONData– Data can be defined as a representation of facts, concepts, or instructions in a formalized mannerwhich should be suitable for communication, interpretation, or processing by human or electronic machines.
PROCESSINGInformation– Information is organized or classified data, which has some meaningful values for the receiver.Information is the processed data on which decisions and actions are based.Primary Data CollectionFirst-hand data are obtained directly from the original sourceSecondary Data CollectionReadily available data are obtained from other than the original sourceData ClassificationsPrimary data1.Objectivist/Quantitativea.Survey DataPersonal InterviewTelephonic InterviewMail Survey/Questionnaireb.Observation Datac.Experimental2.Subjectivist/Qualitativea.Focus Group Interviewb.Depth Interviewc.Projective Techniques**Objectivist/QuantitativeNumerical; more rigid procedure and scientific approachSubjectivist/QualitativeVerbal; unstructured methods at the discretion of researcher
Lesson 2 –Planning and Conducting SurveysSurveyis a quantitative data collection technique that includes asking questions from participants.The accumulation of facts about a group of people by asking questions to gather information about aphenomenonFlexible, i.e., can be used for different types of research, but mainly for quantitative studiesRequires statistical or mathematical techniques for analyzing data with the motive of reaching a validconclusionExample: Product LaunchA company is planning to launch a new product in the market.Before introducing the product, the marketing team in an organization performs a survey.The aim of the survey is to analyze the expectations of customers from the launch of new product.Steps in Conducting Surveys1.Respond to participants2.Determine the type of survey3.Design the questions4.Distribute the survey5.Analyze the responses-------Step 1. Respond to survey ParticipantsDesign a good research question.

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Term
Spring
Professor
N/A
Tags
Optimal design, Designed Experiments

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