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Learn how to collect primary and secondary data, apply various data collection techniques, design questionnaires, maintain validity and reliability, and conduct in-depth analysis using advanced tools.
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Primary Data(different methods)Observation MethodPersonal InterviewTelephone Interview
Other Primary Data Collection TechniquesFocus GroupParticipatory Rural AppraisalSocial Auditing
Some traditional tools Thurstone – Continuum scale (Normal distribution) (comparative judgment, better than…, 80%) Likert - Summated ratings (strongly agree, ……., strongly disagree) Guttman – Cumulative scaling (Guttman Scaling) Osgood - Semantic Differential Technique – Graphical representation
SCALES(order, distance, & origin)Nominal ScaleOrdinal Scale Interval Scale Ratio
Issues of Measuring variables/questionsValidityConvergent, Discriminant, NomologicalReliabilityitem-to-total correlation > 0.5, inter-item correlation > 0.3Cronbach’s alpha >= 0.7Exploratory research >= 0.6
Questionnaire DesignIdentification of research issueFormulation of questionsFormatOpen-ended questionClose-ended question
Deciding on question wordingAppropriate sequencing of questionsPre-testing of QuestionnairesReview of Questionnaire for improvementSample Questionnaire
Deciding Question Wording Vocabulary - simple, direct and familiar to all respondents Words - not have vague or ambiguous meaning Each question - single part Question – avoid biases Questions – avoid interrelated items Instructions - clear Questions - applicable to all the respondents
Appropriate Sequence of Questions First few questions - personal details Introductory questions - establish a rapport Simple and direct questions - to build an opinion Focused questions - relating to objectives and issues of research Main body - questions to obtain needed information
Selection of Telephone NumbersTelephone directory referenceRandom digit dialingSystematic random digit dialingPlus-one dialingCall outcomes / timing / reportMail Survey
Advanced Tools Bivariate Analysis Multivariate Analysis SPSS / MINITAB Structural Equation Modeling AMOS Neural Networking (MATLAB) ORIGIN Fuzzy Logic programming