Public policy analysis in Iran: the partial least square test

Roya Asadifard

doi:10.3990/2.321

Public policy analysis in Iran: the partial least square test

Roya Asadifard

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This research tests Iranian public policy analysis model. This model is a descriptive and qualitative model that created through grounded theory approach and then used Partial Least Square for confirmation test and explore predictability of it. The results confirm that public policy analysis model of Iran have three dimension of formulation analysis, implementation analysis and evaluation analysis which these components have influence together sequently.

Original language	English
Title of host publication	Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling
Subtitle of host publication	The Conference for PLS Users
Editors	Jörg Henseler, Christian Ringle, José Roldán, Gabriel Cepeda
Place of Publication	Enschede
Publisher	University of Twente
Number of pages	11
ISBN (Print)	9789036540568
DOIs	https://doi.org/10.3990/2.321
Publication status	Published - 2015
Externally published	Yes
Event	2015 PLS User Conference: 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users - Seville, Spain Duration: 16 Jun 2015 → 19 Jun 2015

Conference

Conference	2015 PLS User Conference
Country/Territory	Spain
City	Seville
Period	16/06/15 → 19/06/15

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10.3990/2.321

ArticleFinal published version, 644 KB

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Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users
Henseler, J., Ringle, C., Roldán, J. & Cepeda, G., 2015, Enschede: University of Twente. 414 p.
Research output: Book/Report › Book editing › Popular

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Cite this

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title = "Public policy analysis in Iran: the partial least square test",

abstract = "This research tests Iranian public policy analysis model. This model is a descriptive and qualitative model that created through grounded theory approach and then used Partial Least Square for confirmation test and explore predictability of it. The results confirm that public policy analysis model of Iran have three dimension of formulation analysis, implementation analysis and evaluation analysis which these components have influence together sequently.",

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publisher = "University of Twente",

address = "Netherlands",

note = "2015 PLS User Conference : 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users ; Conference date: 16-06-2015 Through 19-06-2015",

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Public policy analysis in Iran: the partial least square test. / Asadifard, Roya.
Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users. ed. / Jörg Henseler; Christian Ringle; José Roldán; Gabriel Cepeda. Enschede: University of Twente, 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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T2 - 2015 PLS User Conference

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PY - 2015

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AB - This research tests Iranian public policy analysis model. This model is a descriptive and qualitative model that created through grounded theory approach and then used Partial Least Square for confirmation test and explore predictability of it. The results confirm that public policy analysis model of Iran have three dimension of formulation analysis, implementation analysis and evaluation analysis which these components have influence together sequently.

U2 - 10.3990/2.321

DO - 10.3990/2.321

M3 - Conference contribution

SN - 9789036540568

BT - Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling

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A2 - Roldán, José

A2 - Cepeda, Gabriel

PB - University of Twente

CY - Enschede

Y2 - 16 June 2015 through 19 June 2015

ER -

Public policy analysis in Iran: the partial least square test

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Research output

Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users

Cite this