Trustworthiness, Quantitative Research Design Judging Quality Reliability – Replication Validity – Internal Validity • Robustness of data – External validity • Ability to generalize Objectivity – Unbiased instrument and interpretation Ensuring Quality Objectivity – Researcher Reflexivity • Indifference vs. Integrity Ensuring Quality-- Trustworthiness Prolonged Engagement Thick description Persistent observation Referential Adequacy Triangulation Negative Case Analysis Ensuring Quality-- Trustworthiness Reflexive Journal Purposive sampling Audit Trails Peer Debriefing Member Checking Ensuring Quality: Transferability Generalizing what? – Limitations of survey research. Trustworthiness critical Similarity of setting – sender vs. receiver – Framework Exploratory & Conclusive Research Differences Exploratory Conclusive Objective: To provide insights and understanding To test specific hypotheses and examine relationships Characteristics: Information needed is defined Information needed is clearly only loosely. Research process is defined. Research process is flexible and unstructured. formal and structured. Sample is Sample is small and nonlarge and representative. Data representative. Analysis of analysis is quantitative primary data is qualitative Findings/ Results: Tentative Conclusive Outcome: Generally followed by further exploratory or conclusive research Findings used as input into decision making Methods of Quantitative Research Secondary data analysis Surveys Panels – Structured approach MR Problem Levers have designed a new bag for Taj Mahal Tea Bags. They would like to determine its impact on consumer preferences. Cross-sectional Designs Involve the collection of information from any given sample of population elements only once. In single cross-sectional designs, there is only one sample of respondents and information is obtained from this sample only once. In multiple cross-sectional designs, there are two or more samples of respondents, and information from each sample is obtained only once. Often, information from different samples is obtained at different times. Longitudinal Designs A fixed sample (or samples) of population elements is measured repeatedly on the same variables A longitudinal design differs from a cross-sectional design in that the sample or samples remain the same over time Cross-Sectional vs. Longitudinal CrossSectional Design Longitudinal Design Time Sample Surveyed at T1 Sample Surveyed at T1 T1 Same Sample also Surveyed at T2 T2 Cross-Sectional Data May Not Show Change Brand Purchased Time Period Period 1 Survey Brand A Brand B Brand C Total 200 300 500 1000 Period 2 Survey 200 300 500 1000 Longitudinal Data May Show Substantial Change Brand Purchased in Period 1 Brand A Brand B Brand C Total Brand Purchased in Period 2 Brand A Brand B Brand C Total 100 25 75 200 50 100 150 300 50 175 275 500 200 300 500 1000