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FACTOR ANALYSIS: INVESTIGATING IMPORTANT ASPECTS FOR AGILE ADOPTION IN MALAYSIA

+ INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

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Page 1: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

FACTOR ANALYSIS: INVESTIGATING IMPORTANT ASPECTS

FOR AGILE ADOPTION IN MALAYSIA

Page 2: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

OUTLINE

+ INTRODUCTION+ DATA COLLECTION AND ANALYSIS+ SAMPLE SIZE AND STRENGTH OF

RELATIONSHIP+ FACTOR EXTRACTION+ Discussion and Meaning For the Factor+ DISCUSSION AND CONCLUSION

Page 3: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

INTRODUCTION

+ analyse factor analysis from variables of Agile adoption responded by software practitioners in Malaysia.

Page 4: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DATA COLLECTION AND ANALYSIS

+ The questionnaire was posted Web SurveyMonkey2.

+ 207 response and 88 completed section B and D

+ Fewer Respondents WHY? + analysis use SPSS version 17. + Each variable for this analysis has a six point

Likert-type scale; from strongly disagree (1)to strongly agree (6) (1~6).

Page 5: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

SAMPLE SIZE AND STRENGTH OF RELATIONSHIP

+ determining for the suitability of the data;– sample size, – the strength of relationship among the variables.

+ Kaiser-Meyer-Olkin (KMO)+ Four or more loadings greater than 0.6 per

factor is reliable regardless of the sample size . .+ A KMO with 0.6 is suggested as the minimum

value for a good factor analysis . + Our data is 0.755.

Page 6: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

FACTOR EXTRACTION

+ One of the procedures in factor analysis. + Purpose

– Determining the smallest number of factors that can best represent the interrelations among the sets of variables.

+ eigenvalues (or Kaiser criterion) and scree plot.

+ eigenvalues >1

Page 7: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

FACTOR EXTRACTION

Page 8: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

FACTOR EXTRACTION

Page 9: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 1:Developer Involvement and Organisation-related Aspects’.– Software developers have responsibility related to

organisation’s Agile activities = 0.816– Software developers are actively involved setting

goals for Agile activities = 0.805+ Importance of software developers’ roles and

responsibilities and their involvement when applying Agile methods.

Page 10: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 2:Organisational Culture and People Related Aspects– We have mixed races in our

organisation/team(Malay, Indian, Chinese and other races) = 0.845

– In our organization, we communicate in English language = 0.810

+ Race is not a problem.

Page 11: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 3:Customer Involvement when Practicing Agile methods– In our software development, customers are

actively involved in setting goals for our Agile activities = 0.680

– In my experience, practitioners with professional skills are needed when practicing Agile = 0.656

Page 12: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 4:Benefits/Impact when using Agile methods– I see customers’ satisfaction when using Agile

methods = 0.881– Our software development becomes easier

because both parties (customers and developers) are working together when using Agile = 0.867

Page 13: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 5:training helps correct practice of Agile methods in our organisation– In my experience, training helps correct practice of

Agile methods in our organisation = -0.879– In my experience, continuous learning helps

knowledge transfer occurring when using Agile methods = -0.811

Page 14: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 6:Lack Importance of Technical and Technological Aspects when using Agile methods– In my experience, Agile methods are suitable for

certain technology = -0.943– In my experience, tools are important to support

the usage of Agile methods = -0.507

Page 15: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 7:The Importance of Sharing, Knowledge.– Our organisational environment is a personal

place where people share a lot of themselves = 0.614.

Page 16: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND MEANING FOR THE FACTOR

+ Factor 8:Team Commitment and Clarity of Purpose– In my experience, knowing roles and

responsibilities is essential when practicing Agile methods = 0.694

Page 17: + INTRODUCTION + DATA COLLECTION AND ANALYSIS + SAMPLE SIZE AND STRENGTH OF RELATIONSHIP + FACTOR EXTRACTION + Discussion and Meaning For the Factor +

DISCUSSION AND CONCLUSION

+ organisational and software developers’ involvement as the top factor when using Agile methods.

+ language (English) is one of the important aspects.

+ customer satisfaction and the ease of software development as a result of collaboration between developers and customers.