1. FACTORS FOR DELAY IN PUBLIC SECTOR PROJECTS

2. DATA COLLECTION PRIMARY VARIABLES (REASONS) FOR DELAY IN PUBLIC SECTOR PROJECTS WERE RESEARCHED UNDER GUIDANCE OF DR. MUKESH KUMAR BARUA (ASSISTANT PROFESSOR AT IIT ROORKEE) VARIABLES WERE ASSIGNED AFTER CONCLUDING AN EXHAUSTIVE SESSION OF WHY - WHY ANALYSIS THESE CAUSES WERE USED AS PRIMARY VARIABLE ON WHICH FACTOR ANALYSIS WAS PERFORMED ALL VARIABLES ARE SHOWN IN THE NEXT SLIDE

4. MARKET SURVEY 11 VARIABLE REQUIRE A MINIMUM SAMPLE SIZE OF 55 FOR EFFICIENT FACTOR ANALYSIS RESPONDENTS ACROSS IIT ROORKEE WERE ASKED TO FILL THE SURVEY (RESPONDENT SIZE: 67) RESPONDENTS INCLUDED STUDENTS FROM DIFFERENT SECTORS LIKE COMPUTER ENGINEERS, MBA STUDENTS, PHD SCHOLARS, FACULTIES AND ADMINISTRATION PERSONNELS LINK TO QUESTIONNAIRE: FACTOR ANALYSIS QUESIONNAIREFACTOR ANALYSIS QUESIONNAIRE SURVEY RESPONSES WERE MEASURED ON A LIKERT SCALE BASED ON KNOWLEDGE OF STUDENTS ON THE GIVEN SUBJECT (RESPONSES ARE SHOWN

6. CORRELATION MATRIX NULL HYPOTHESIS: VARIABLE ARE UNCORRELATED IN THE POPULATION. CORRELATION MATRIX IS AN IDENTITY MATRIX CORRELATION MATRIX: DIAGNOL MATRIX SHOWING ALL CORRELATIONS BETWEEN VARIABLES

7. APPROPRIATENESS OF FACTOR ANALYSIS BARTLETT’S TEST OF SPHERICITY: USED TO EXAMINE THE HYPOTHESIS BASED ON CORRELATION MATRIX AND CHI-SQUARE VALUE. LARGE CHI-SQUARE VALUE SIGNIFIES REJECTION OF NULL HYPOTHESIS SIG VALUE SHOULD BE LESS THAN ALPHA VALUE KMO TEST: HIGH VALUE OF KMO VALUE SIGNIFIES APPROPRIATENESS OF FACTOR ANALYSIS. IF VALUE OF KMO IS LESS THAN 0.5, FACTOR ANALYSIS IS NOT APPROPRIATE

9. COMMUNALITIES REPRESENT COMMON VARIANCE IN DATA AFTER FACTOR EXTRACTION (VALUE VARIABLE IS DISCARDED IN FACTOR ANALYSIS PRINCIPAL COMPONENT ANALYSIS CONSIDERS TOTAL VARIANCE TO FIND MINIMUM NUMBER OF FACTORS COMMON FACTOR ANALYSIS CONSIDERS FACTORS BASED ON COMMON VARIANCE

10. NUMBER OF FACTORS EIGEN VALUES: COUNT OF VARIABLE HAVING EIGEN VALUES GREATER THAN 1 REPRESENT THE NUMBER OF FACTORS PRIORI DETERMINATION: NO. OF FACTORS ARE PREDETERMINED SCREE PLOT: COMPONENT POINT WHERE SCREE STARTS TO BEGIN IN THE SCREEN PLOT DIAGRAM PERCENTAGE OF VARIANCE: PERCENTAGE OF VARIANCE > 60%

12. FACTOR EXTRACTION VARIABLES AFTER COMPONENT MATRIX EXTRACTION ARE LOADED ON MORE THAN ONE FACTORS EG: VAR0001 IS LOADED 0.610 ON FACTOR 2 AND LOADED 0.617 ON FACTOR 4 COMPONENT MATRIX IS ROTATED TO AVOID LOADING OF VARIABLE ON MORE THAN 1 FACTORS

13. VARIMAX ROTATION ORTHOGONAL METHOD OF COMPONENT MATRIX ROTATION THAT MINIMIZES NUMBER OF VARIABLES WITH HIGH LOADING ON FACTORS ROTATION OF COMPONENT MATRIX ENHANCES INTERPRETABILITY OF FACTOR ANALYSIS ( FACTORS RESPONSIBLE FOR DELAY IN PUBLIC SECTOR PROJECTS ARE GIVEN IN NEXT SLIDE)

14. FACTORS FOR DELAY IN PUBLIC SECTOR PROJECTS INEFFICIENT HUMAN AND TECHNICAL RESOURCES OPERATIONAL INCAPABILITIES NEPOTISM GOVERNMENT REGULATIONS POOR POLICY FRAMEWORKS