Psychometric characteristics of the decision‐making ability scale among high school students

Abstract The process of decision‐making is a multifaceted cognitive endeavor encompassing various cognitive, emotional, psychological, and social processes. It empowers individuals to select from a range of alternatives. Its significance spans across age groups, impacting both adults and children, and the relevance of which goes beyond aiding learners in choosing their educational or professional paths; it also pertains to preparing them to navigate the diverse situations they will encounter throughout their lives. To approach this ability, we developed a scale comprising 20 items, assessing five distinct decision‐making factors. This scale was administered to a sample of 303 learners in the first and second years of the baccalaureate course (pre‐final and final years of secondary education), representing both genders, and studying in four high schools. The participants’ ages ranged between 16 and 20 years. The results of this study revealed positive psychometric properties of the scale after its apparent validity was verified. Additionally, principal component analysis, using a latent root criterion greater than one (Eigenvalue > 1), and performing Varimax rotation, resulted in five factors that represent decision‐making styles (dependent, avoidant, confident, rational, intuitive) that explain 53.67% of the total variance. Through the application of confirmatory factor analysis (CFA), the outcomes showcased favorable conformity indicators. The ratio of chi‐square value to degrees of freedom was recorded at less than 5 (x²/df = 1.531). The RMSEA index, at 0.041, remained below the accepted threshold of 0.08. The metrics (CFI, TLI, GFI, IFI) all surpassed 0.90, falling within acceptable ranges. Strong internal consistency between item scores and their respective factors was established by Pearson coefficients. The correlation coefficients between each factor's score and the total scale score were robust, ranging from 0.483 to 0.727. The Cronbach's alpha coefficient for the scale's factors ranged from 0.788 (highest) to 0.723 (lowest), with an overall scale stability coefficient of 0.748. These high coefficients collectively confirm the scale's validity, reliability, and appropriateness for implementation within the Middle East and North Africa (MENA) region.

Authors

Institutions

Publication Details

Journal
Psychology in the Schools
Published
2024-10-19
DOI
https://doi.org/10.1002/pits.23334
Citations
2
Primary Topic
Healthcare Education and Workforce Issues
Type
article
Field-Weighted Citation Impact
2.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric characteristics of the decision‐making ability scale among high school students

Jalal Ismaili, Benaissa Zarhbouch, Ghizlane Merzaq, Brahim Nehass et al.
2 citations
Psychology in the Schools
Healthcare Education and Workforce Issues
2.43
article

Psychometric characteristics of the decision‐making ability scale among high school students

Jalal Ismaili, Benaissa Zarhbouch, Ghizlane Merzaq, Brahim Nehass, Abdelmounim Kiouach, Abderrahim Bounaissat
article en
2 citations

Abstract

Abstract The process of decision‐making is a multifaceted cognitive endeavor encompassing various cognitive, emotional, psychological, and social processes. It empowers individuals to select from a range of alternatives. Its significance spans across age groups, impacting both adults and children, and the relevance of which goes beyond aiding learners in choosing their educational or professional paths; it also pertains to preparing them to navigate the diverse situations they will encounter throughout their lives. To approach this ability, we developed a scale comprising 20 items, assessing five distinct decision‐making factors. This scale was administered to a sample of 303 learners in the first and second years of the baccalaureate course (pre‐final and final years of secondary education), representing both genders, and studying in four high schools. The participants’ ages ranged between 16 and 20 years. The results of this study revealed positive psychometric properties of the scale after its apparent validity was verified. Additionally, principal component analysis, using a latent root criterion greater than one (Eigenvalue > 1), and performing Varimax rotation, resulted in five factors that represent decision‐making styles (dependent, avoidant, confident, rational, intuitive) that explain 53.67% of the total variance. Through the application of confirmatory factor analysis (CFA), the outcomes showcased favorable conformity indicators. The ratio of chi‐square value to degrees of freedom was recorded at less than 5 (x²/df = 1.531). The RMSEA index, at 0.041, remained below the accepted threshold of 0.08. The metrics (CFI, TLI, GFI, IFI) all surpassed 0.90, falling within acceptable ranges. Strong internal consistency between item scores and their respective factors was established by Pearson coefficients. The correlation coefficients between each factor's score and the total scale score were robust, ranging from 0.483 to 0.727. The Cronbach's alpha coefficient for the scale's factors ranged from 0.788 (highest) to 0.723 (lowest), with an overall scale stability coefficient of 0.748. These high coefficients collectively confirm the scale's validity, reliability, and appropriateness for implementation within the Middle East and North Africa (MENA) region.

Psychology in the SchoolsVol. 62(2)
Mohamed I University (MA), Chouaib Doukkali University (MA), Université Moulay Ismail de Meknes (MA), Sidi Mohamed Ben Abdellah University (MA)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Healthcare Education and Workforce Issues
2.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.