steps in data analysis using smartpls4

step 1

[{"selector":"#anim-3fcc4e01-33a8-4acb-8fd3-e850d9aeb1ac","keyframes":{"opacity":[0,1]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-54eb0b5d-74e4-4aa2-9168-3d7b2c1c4230","keyframes":{"transform":["translate3d(0px, 406.76040%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-8223f64d-f8f5-4921-a427-e4ab7500c14f","keyframes":{"opacity":[0,1]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7c609e50-b3fa-4ce5-aa2a-89b819722a4a","keyframes":{"transform":["translate3d(0px, 131.92285%, 0)","translate3d(0px, 0px, 0)"]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Learn more

– Factor Loading – Construct Reliability – Construct Validity – Report Measurement Model

[{"selector":"#anim-05b53b66-1f8b-4238-88e9-d84b0cac0bf5","keyframes":{"opacity":[0,1]},"delay":600,"duration":800,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a8290eff-5477-4628-9cea-4c2dcc769672","keyframes":{"transform":["translate3d(-103.25203%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":600,"duration":800,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-73a671f3-c5aa-4772-824a-b4f20f76587c","keyframes":{"opacity":[0,1]},"delay":0,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-6266c0e8-9f66-43c3-a843-97239b7db7e3","keyframes":{"opacity":[0,1]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-c34825fd-17e8-44e5-96cf-4aaf751de522","keyframes":{"transform":["translate3d(0px, 412.18208%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-03f101f6-c53d-40f7-a243-16b65aa234fd","keyframes":{"opacity":[0,1]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-721f8446-f1aa-40c1-868d-7abb4a54533f","keyframes":{"transform":["translate3d(0px, 265.21992%, 0)","translate3d(0px, 0px, 0)"]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]

step 3

[{"selector":"#anim-a16f258a-3490-4dd5-bd12-05e0d635b4d1","keyframes":{"opacity":[0,1]},"delay":500,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-d902c17f-32be-44a4-a54a-c6875e225819","keyframes":{"transform":["translate3d(0px, 145.51796%, 0)","translate3d(0px, 0px, 0)"]},"delay":500,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-98b90199-5f1f-4b3d-b8d3-5a3dbc160e7b","keyframes":{"opacity":[0,1]},"delay":0,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-4f81d05b-5733-4729-b15e-9fd8eb185182","keyframes":{"opacity":[0,1]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-6f789615-d30e-46f7-a6b9-43dfc67f8d5f","keyframes":{"transform":["translate3d(0px, 412.18208%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-9264439a-fb7b-42b6-aaeb-dcd2c292e2a2","keyframes":{"opacity":[0,1]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-2809937a-e262-4aca-8e7d-c4a803ef573d","keyframes":{"transform":["translate3d(0px, 269.90742%, 0)","translate3d(0px, 0px, 0)"]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] – Check for Collinearity – Check for Bootstrapped Results – Report Significance of Relationships – Assess and Report the Explanatory (R-Square) and Predictive Power (PLS-Predict) Learn more

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[{"selector":"#anim-dbae2862-10da-4854-aab1-3326870ded64","keyframes":{"opacity":[0,1]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-72705c7d-1be4-4161-8a8d-d0e2ec7e812a","keyframes":{"transform":["translate3d(0px, 247.90663%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-05c86129-6cfc-41df-be4b-5a01d4c3f8fa","keyframes":{"opacity":[0,1]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-bfa2a43a-e63e-4381-af07-623eacdd658d","keyframes":{"transform":["translate3d(0px, 212.61576%, 0)","translate3d(0px, 0px, 0)"]},"delay":200,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}]

steps in data analysis using smartpls4

step 1

Clean your data

– Factor Loading – Construct Reliability – Construct Validity – Report Measurement Model

step 2

Measurement Model Assessment

step 3

Structural Model Assessment

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Complete Smartpls4 Playlist

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