Ten Steps in Scale Development and Reporting: A Guide for Researchers

By Serena Carpenter. 2018

974 citations recorded by the source corpus.

Subfields: Education, General Social Sciences, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/abe43deb365884aff75258b4bae3a04059126c95

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Citations in the corpus

Preliminary psychometric validation of a brief screening tool for athlete mental health among male elite athletes: the Athlete Psychological Strain Questionnaire (2019, methodology): “In line with recent guidelines (Carpenter, 2018), oblique rotation (promax) was adopted as it is identified as providing more robust factor solutions (Thompson, 2004), and involves an oblique factor rotation where factors are permitted to correlate.”
Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020, positive): “Here, the sample size should be from 50 to 100 (Carpenter, Grant, & Hoag, 2016, 2018; Algharabata, Rana, Dwivedi, Alalwan, & Qasem, 2018).”
Tourism Memory Characteristics Scale: Development and Validation (2021, methodology): “An individual follows a top–down process to retrieve this knowledge beginning from a lifetime period, general events, and finally event-specific knowledge (Conway 2005; Conway and Pleydell-Pearce 2000). The highest level encompasses lifetime periods that include general knowledge of activities, comm”
Development and validation of the player experience inventory: A scale to measure player experiences at the level of functional and psychosocial consequences (2020, methodology): “Candidates for removal were those items that showed either lower convergent validity or higher cross loadings, according to the procedure put forward by [80],[81].”
Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling (2020, methodology): “For this, we have prepared some questionnaires by the help of scale development step by step architecture with assistance of opinion of some experts (Carpenter 2018).”
Measuring Realistic and Symbolic Threats of COVID-19 and Their Unique Impacts on Well-Being and Adherence to Public Health Behaviors (2020, methodology): “Exploratory factor analysis using principal axis factoring and oblique promax rotation (Carpenter, 2018; see the Supplemental Material for details) revealed a two-factor solution: one factor with 5 items assessing symbolic threat (eigenvalue ¼ 4.20) and one factor with 5 items assessing realistic…”