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Evaluating the impact of disaggregated survey panel responses on Business Tendency Survey Results

Evaluating the impact of disaggregated survey panel responses on Business Tendency Survey Results. - GM Pellissier - DG Nel . * Stellenbosch University, South Africa. Average Participating BER Survey Panel Response. Disaggregated BER survey panel responses.

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Evaluating the impact of disaggregated survey panel responses on Business Tendency Survey Results

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  1. Evaluating the impact of disaggregated survey panel responses on Business Tendency Survey Results - GM Pellissier - DG Nel * Stellenbosch University, South Africa

  2. Average Participating BER Survey Panel Response

  3. Disaggregated BER survey panel responses

  4. Disaggregated BER survey panel analysis

  5. Disaggregated BER Building survey responses

  6. Disaggregated BER Manufacturing survey responses

  7. Disaggregated BER Retail survey responses

  8. Disaggregated BER survey responses

  9. Repeated measures analysis of variance (RM_Anova) • The purpose of the RM_Anova procedure is to compare simultaneously the means in several groups/variables and determine if significant changes occurred over a time period

  10. RM_Anova Considerations RM_Anova analyses were considered : • to evaluate the stated hypothesis of no differences in survey results between disaggregated BER panel responses • to determine if significant changes occurred over time between the different groups of disaggregated BER survey results

  11. Implementation of RM_Anova • RM_Anova were implimented to test the hypothesis of similarity, between the survey results generated by the three groups of participating respondents, within each survey quarter as well as between quarterly responses. • There are two main effects 1) survey responses over the total period, called ‘Survey’ and 2) survey responses within each survey quarter, called ‘Quarter’

  12. RM_Anova Assumption • RM_Anova analysis is done under the assumption of compound symmetry i.e. requiring no significant interaction between the stated time series data. If rejected these interactions should be interpreted, otherwise the main effects of ‘Survey’ and ‘Quarter’ can be interpreted

  13. RM_Anova : Manufacturing Confidence

  14. RM_Anova : Manufacturing Confidence

  15. RM_Anova of disaggregated Manufacturing survey results on buss confidence

  16. RM_Anova : Manufacturing Confidence

  17. RM_Anova : Manufacturing Confidence

  18. RM_Anova : Manufacturing Confidence

  19. RM_Anova of Manufacturing survey results on buss confidence

  20. RM_Anova of Manufacturing survey results on production

  21. RM_Anova of Manufacturing survey results on prices

  22. RM_Anova of Retail survey results on buss confidence

  23. RM_Anova of Retail survey results on sales

  24. RM_Anova of Retail survey results on prices

  25. RM_Anova of Building survey results on buss confidence

  26. RM_Anova of Building survey results on activity

  27. RM_Anova of Building survey results on prices

  28. QUARTER * SURVEY; LS_Means

  29. Summary Disaggregated BER Survey Results

  30. Conclusion Institutions running Business Tendency surveys based on voluntary panel participation can rest assure that in statistical terms the survey results between Regular and Irregular survey respondents can be interpreted as being the same

  31. Evaluating the impact of disaggregated survey panel responses on Business Tendency Survey Results

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