08.Latent variable modeling03.Internal reliability - sporedata/researchdesigneR GitHub Wiki

1. Use cases: in which situations should I use this method?

Internal reliability is the consistency in the responses across items inside a construct. In other words, if I answered an item of a construct in a certain way, are my responses going in the same direction across all the other items in the same construct?

  • Use in the evaluation of scales, to ensure that items are consistent with each other

2. Input: what kind of data does the method require?

  • Latent variable data, or multiple variables focusing on the same construct

3. Algorithm: how does the method work?

Model mechanics

  • Internal reliability, also known as internal consistency, is how strongly the items in a subscale correlate to each other to evaluate their consistency in generating similar scores.

  • Internal reliability is often measured by Cronbach's alpha, Raykov's omega, Bentler's omega, and McDonald's omega. The value of these indices ranges from 0 (zero reliability) to 1 (excellent reliability). Reliability increases as the value get closer to 1.00, with an acceptability threshold of 0.70. These values should be close to each other. Also, the average variance extracted for each latent variable in the model is also shown.

Reporting guidelines

Guidelines for the Successful Adoption of Information Technology in Small and Medium Enterprises

Data science packages

Suggested companion methods

Learning materials

  1. Books
    • Scale Development: Theory and Applications [1].
    • Modern Psychometrics with R [2].
    • Handbook of Educational Measurement and Psychometrics Using R [3].
    • Health Measurement Scales: A practical guide to their development and use [4]
  2. Articles

4. Output: how do I interpret this method's results?

Mock conclusions or most frequent format for conclusions reached at the end of a typical analysis.

Tables, plots, and their interpretation

5. SporeData-specific

Templates

Data science functions

References

[1] DeVellis RF. Scale Development: Theory and Applications. Sage publications; 2016 Mar 30.

[2] Mair P. Modern Psychometrics with R . Springer International Publishing; 2018 Sep 20.

[3] Desjardins CD, Bulut O. Handbook of Educational Measurement and Psychometrics Using R. CRC Press; 2018 Sep 3.

[4] Streiner DL, Norman GR, Cairney J. Health Measurement Scales: A practical guide to their development and use. Oxford University Press, USA; 2015.

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