https://github.com/danielpetri1/icils2018-sem

Accompanying Stata scripts for the paper "Exploring Influences on ICT Adoption in German Schools: A UTAUT-Based Structural Equation Model"
https://github.com/danielpetri1/icils2018-sem

icils-dataset ict-skills stata structural-equation-model teachers

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Accompanying Stata scripts for the paper "Exploring Influences on ICT Adoption in German Schools: A UTAUT-Based Structural Equation Model"

• Host: GitHub
• URL: https://github.com/danielpetri1/icils2018-sem
• Owner: danielpetri1
• License: mit
• Created: 2024-03-02T21:48:41.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-07-23T09:33:12.000Z (7 months ago)
• Last Synced: 2024-12-02T12:49:06.693Z (3 months ago)
• Topics: icils-dataset, ict-skills, stata, structural-equation-model, teachers
• Language: Stata
• Homepage:
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Below are the instructions to replicate results from the paper *["Exploring Influences on ICT Adoption in German Schools: A UTAUT-Based Structural Equation Model"](https://jl4d.org/index.php/ejl4d/article/view/1116)*.

#### Required downloads

1. Download and extract the [ICILS 2018 SPSS Data](https://doi.org/10.58150/ICILS_2018_data)

2. Download [IEA's DB Analyzer](https://www.iea.nl/data-tools/tools). Version used: 5.0.16.

#### Data Preparation

1. Open IEA's DB Analyzer

2. Access the Merge Module with `SPSS` selected

3. Select the survey data directory (such as `\Downloads\ICILS2018_IDB_SPSS\ICILS2018_IDB_SPSS\Data`)

4. Select `ICILS` as the study, `ICILS 2018` as the cycle, and `Grade 8` as the target population

5. Select `Germany` as a participant and click next

6. Select the `School`and `Teacher`files

7. Select the following variables: 

   

##### School file

Social Influence: `P_EXPLRN`, `P_EXPTCH`, `P_VWICT`.

##### Teacher file

Effort Expectancy: `T_ICTEFF, T_COLICT`

Performance Expectancy: `T_VWPOS, T_VWNEG`

   

Facilitating conditions: `T_RESRC, T_PROFREC, T_PROFSTR`

   

Behavioral Intention: `T_CODEMP, T_ICTEMP`

   

Use Behavior: `T_USEUTIL, T_CLASACT, T_USETOOL`

81 ID and sampling variables will automatically be selected.

8. Under "Output", specify the SPSS syntax file name: `TeacherPrincipalMerge.sps`

9. Click 'start SPSS' to create the syntax file

10. Press CTRL + A followed by Ctrl + R to create the `TeacherPrincipalMerge.sav` file

11. Place this file into the "Data" directory

#### SEM Estimation

Simply drag and drop the desired `.do` file into Stata's command window to automatically fit the model.

#### Citation

Please cite as:

```

@Article{Petri_Bewersdorff_Nerdel_2024,

  author  = {Petri Rocha, Daniel and Bewersdorff, Arne and Nerdel, Claudia},

  journal = {Journal of Learning for Development},

  title   = {Exploring Influences on ICT Adoption in German Schools: A UTAUT-Based Structural Equation Model},

  year    = {2024},

  month   = {Jul},

  number  = {2},

  pages   = {311–322},

  volume  = {11},

  doi     = {10.56059/jl4d.v11i2.1116},

  url     = {https://jl4d.org/index.php/ejl4d/article/view/1116},

}

```