Data Analysis for Project. Tutorial

Transcription

1 Data Analysis for Project Tutorial

2 Research Model Topic 2 Remanufactured Products Environmental Concern Attitude towards Recycling H2 (+) H1 (+) Subjective Norm Perceived Moral Obligation Convenience Perceived Behavioral Control Consequence Awareness H3 (+) H4 (+) H5 (+) H6 (+) H7 (+) Purchase Recycled/Remanufactured Products

3 Description of Variables Item code Variable name Source No. of Items ENV1 to ENV4 Environmental Concern Chen & Tung (2014) 4 ATT1 to ATT4 Attitude towards Recycling Wan et al. (2014) 4 SUB1 to SUB4 Subjective Norm Wan et al. (2014) 3 PBC1 to PBC4 Perceived Behavioral Control Wan et al. (2014) 4 MOR1 to MOR3 Perceived Moral Obligation Chen & Tung (2014) 3 CONV1 to CONV3 Convenience Lee et al. (2014) 3 FAC1 TO FAC2 Perceived Lack of Facilities Chen & Tung (2012) 2 AWR1 to AWR4 Consequences Awareness Wan et al. (2014) 4 HAB1 to HAB4 Habit Limayem et al. (2003) 4 INT1 to INT5 Intention to recycle Chen & Tung (2010) 5

4 Data Screening Check for data entry errors Can do sampling check Can do with frequencies and descriptives

5 Reliability of Measurement Scales

6 Reliability of Measurement Scales Variable N of Item Item Deleted Alpha Environmental Concern Attitude towards Recycling Subjective Norm Perceived Behavioral Control Perceived Moral Obligation Convenience Perceived Lack of Facilities Intention to recycle

7 Table Presentation Variable N of Item Item Deleted Alpha Environmental Concern Attitude towards Recycling Subjective Norm Perceived Behavioral Control Perceived Moral Obligation Convenience Perceived Lack of Facilities Intention to recycle

8 Data Entry Sheet

9 Computing Variables in your Model

10 After Computing 1 st Variables in your Model

11 COMPUTE You will need to compute the variables in your model In this example of Topic 2 there are 8 variables as such you have to compute 8 times.

12 After Computing All Variables in your Model

13 Running Frequencies Analysis

14 Running Descriptive Analysis

15 Results of the Analysis

16 Table Presentation Gender Male Female Ethnicity Malay Chinese Indian Others Frequency Percentage

17 Results of the Analysis

18 Table Presentation Variable Mean Std. Deviation Skewness Kurtosis ENVIRONMENT ATTITUDE SN PBC MORAL CONVENEINCE LACK INTENTION

19 Running Correlation Analysis

20 Results of the Analysis Correlations ENVIRONMENT ATTITUDE SN PBC MORAL CONVENEINCE LACK INTENTION ENVIRONMENT Pearson Correlation ** *.620 ** **.070 Sig. (2-tailed) N ATTITUDE Pearson Correlation.431 ** **.372 **.413 **.556 ** ** Sig. (2-tailed) N SN Pearson Correlation ** ** ** ** Sig. (2-tailed) N PBC Pearson Correlation.209 *.372 **.719 ** ** *.635 ** Sig. (2-tailed) N MORAL Pearson Correlation.620 **.413 ** **.035 Sig. (2-tailed) N CONVENEINCE Pearson Correlation **.728 **.631 ** ** Sig. (2-tailed) N LACK Pearson Correlation.260 ** *.300 ** Sig. (2-tailed) N INTENTION Pearson Correlation **.762 **.635 ** ** Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed).

21 Table Presentation ENVIRONMENT 1 2. ATTITUDE.431** 1 3. SN ** 1 4. PBC.209*.372**.719** 1 5. MORAL.620**.413** CONVENEINCE **.728**.631** LACK.260** *.300** INTENTION **.762**.635** **

22 Running Regression Analysis

23 Regression Analysis - Assumptions

24 Regression Analysis - Assumptions

25 Results with Outliers Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson a a. Predictors: (Constant), LACK, ATTITUDE, PBC, MORAL, ENVIRONMENT, CONVENEINCE, SN b. Dependent Variable: INTENTION Coefficients a Unstandardized Coefficients Standardized Coefficients Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF 1 (Constant) ENVIRONMENT ATTITUDE SN PBC MORAL CONVENEINCE LACK a. Dependent Variable: INTENTION

26 Results without Outliers Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson a a. Predictors: (Constant), LACK, ATTITUDE, PBC, MORAL, ENVIRONMENT, CONVENEINCE, SN b. Dependent Variable: INTENTION Coefficients a Unstandardized Coefficients Standardized Coefficients Collinearity Statistics Model B Std. Error Beta t Sig. Tolerance VIF 1 (Constant) ENVIRONMENT ATTITUDE SN PBC MORAL CONVENEINCE LACK a. Dependent Variable: INTENTION

27 Table Presentation Hypothesis Variable B Std. Error Beta t-value p-value H1 ENVIRONMENT H2 ATTITUDE H3 SN H4 MORAL H5 CONVENEINCE H6 PBC H7 LACK

28 References References Chen, M.-F., & Tung, P.-J. (2014). Developing an extended Theory of Planned Behavior model to predict consumers intention to visit green hotels. International Journal of Hospitality Management, 36, Chen, M-F., & Tung, P-J. (2010). The Moderating Effect of Perceived Lack of Facilities on Consumers Recycling Intentions. Environment and Behavior, 42(6), Essoussi, L. H., & Linton, J. D. (2010). New or recycled products: how much are consumers willing to pay? Journal of Consumer Marketing, 27(5), Kanchanapibul, M., Lacka, E., Wang, X., & Chan, H.K. (2014). An empirical investigation of green purchase behavior among the young generation. Journal of Cleaner Production, 66, Leary, R.B., Vann, R.J., Mittelstaedt, J.D., Murphy, P.E., Sherry, J.F. Jr. (2014). Changing the marketplace one behavior at a time: perceived marketplace influence and sustainable consumption. Journal of Business Research, 67(9), Lee, Y., Kim, S., Kim, M., & Choi, J. (2014). Antecedents and interrelationships of three types of pro-environmental behavior. Journal of Business Research, 67(10), Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2003). Habit in the Context of IS Continuance: Theory Extension and Scale Development, in Proceedings of the 11th European Conference on Information Systems, C. U. Ciborra, R. Mercurio, M. de Marco, M. Martinez, and A. Carignani (Eds.), Naples, Italy, June Wan, C., Cheung, R., & Shen, G. Q. (2012). Recycling attitude and behaviour in university campus: a case study in Hong Kong. Facilities, 30(13/14), Wesley, S.C., Lee, M.-Y., & Kim, E.Y. (2012). The role of perceived consumer effectiveness and motivational attitude on socially responsible purchasing behavior in South Korea. Journal of Global Marketing, 25(1),

29 Appendix Appendix 1 copy of Questionnaire Paper Cuttings Relevant Computer Outputs

30 Thank You