THE VALIDATION OF CONCERNS FOR INFORMATION PRIVACY (CFIP) SCALE FOR SOCIAL NETWORKING SITES Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.51380/gujr-39-03-08
This study aims to evaluate and validate information privacy concerns scale for social networking sites. Current study identifies seven significant factors through Exploratory Factor Analysis (EFA) which may work antecedents of information privacy concerns. Thus, in order to create a list of items for the measurement of instrument constructs, an extensive research of relevant literature was carried out. Later, the selected items were discussed with supervisors & sent to six information professionals for content validity. Pilot instrument based on literature was empirically validated by collecting the data from one hundred undergraduate students from selected universities. Exploratory factor analysis was used to confirm that the scale's construct validity. Furthermore, for internal reliability of the scale Cronbach's alpha coefficient was checked, the psychometric features of the 57-item measure were assessed with a group of 500 undergraduate students. Subsequently, valid & reliable 57-item Information Privacy Concerns Scale was validated, which could be tested and utilized to evaluate social networking users' information privacy concerns. This validated scale can be used in different contexts and among variant population groups to confirm its validity in the different settings.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.51380/gujr-39-03-08
- http://www.gujr.com.pk/index.php/GUJR/article/download/1658/1153
- OA Status
- bronze
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387143343
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387143343Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.51380/gujr-39-03-08Digital Object Identifier
- Title
-
THE VALIDATION OF CONCERNS FOR INFORMATION PRIVACY (CFIP) SCALE FOR SOCIAL NETWORKING SITESWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-29Full publication date if available
- Authors
-
Amna Ali, Syeda Hina Batool, Khalid MahmoodList of authors in order
- Landing page
-
https://doi.org/10.51380/gujr-39-03-08Publisher landing page
- PDF URL
-
https://www.gujr.com.pk/index.php/GUJR/article/download/1658/1153Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
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https://www.gujr.com.pk/index.php/GUJR/article/download/1658/1153Direct OA link when available
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Cronbach's alpha, Exploratory factor analysis, Scale (ratio), Reliability (semiconductor), Psychology, Construct validity, Population, Applied psychology, Psychometrics, Clinical psychology, Medicine, Environmental health, Power (physics), Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.content | 73 |
| abstract_inverted_index.factors | 20 |
| abstract_inverted_index.hundred | 89 |
| abstract_inverted_index.measure | 125 |
| abstract_inverted_index.privacy | 8, 32, 158 |
| abstract_inverted_index.scale's | 104 |
| abstract_inverted_index.through | 21 |
| abstract_inverted_index.variant | 171 |
| abstract_inverted_index.Analysis | 24 |
| abstract_inverted_index.Concerns | 142 |
| abstract_inverted_index.analysis | 97 |
| abstract_inverted_index.assessed | 127 |
| abstract_inverted_index.checked, | 118 |
| abstract_inverted_index.concerns | 9 |
| abstract_inverted_index.contexts | 168 |
| abstract_inverted_index.evaluate | 4, 153 |
| abstract_inverted_index.features | 121 |
| abstract_inverted_index.internal | 109 |
| abstract_inverted_index.relevant | 53 |
| abstract_inverted_index.reliable | 138 |
| abstract_inverted_index.research | 51 |
| abstract_inverted_index.selected | 60, 93 |
| abstract_inverted_index.students | 91 |
| abstract_inverted_index.utilized | 151 |
| abstract_inverted_index.validate | 6 |
| abstract_inverted_index.validity | 177 |
| abstract_inverted_index.concerns. | 33, 159 |
| abstract_inverted_index.construct | 105 |
| abstract_inverted_index.different | 167, 180 |
| abstract_inverted_index.discussed | 63 |
| abstract_inverted_index.extensive | 50 |
| abstract_inverted_index.settings. | 181 |
| abstract_inverted_index.students. | 134 |
| abstract_inverted_index.validated | 82, 161 |
| abstract_inverted_index.validity. | 74, 106 |
| abstract_inverted_index.Cronbach's | 114 |
| abstract_inverted_index.collecting | 84 |
| abstract_inverted_index.identifies | 17 |
| abstract_inverted_index.instrument | 47, 76 |
| abstract_inverted_index.literature | 54, 79 |
| abstract_inverted_index.networking | 13, 155 |
| abstract_inverted_index.population | 172 |
| abstract_inverted_index.validated, | 145 |
| abstract_inverted_index.Exploratory | 22, 95 |
| abstract_inverted_index.Information | 140 |
| abstract_inverted_index.antecedents | 29 |
| abstract_inverted_index.coefficient | 116 |
| abstract_inverted_index.constructs, | 48 |
| abstract_inverted_index.empirically | 81 |
| abstract_inverted_index.information | 7, 31, 70, 157 |
| abstract_inverted_index.measurement | 45 |
| abstract_inverted_index.reliability | 110 |
| abstract_inverted_index.significant | 19 |
| abstract_inverted_index.supervisors | 65 |
| abstract_inverted_index.Furthermore, | 107 |
| abstract_inverted_index.psychometric | 120 |
| abstract_inverted_index.Subsequently, | 135 |
| abstract_inverted_index.professionals | 71 |
| abstract_inverted_index.undergraduate | 90, 133 |
| abstract_inverted_index.universities. | 94 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.23187274 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |