ویژگی‌های روان سنجی مقیاس نگرش کلی به هوش مصنوعی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مشاوره، دانشگاه محقق اردبیلی، اردبیل، ایران

2 گروه مشاوره، دانشگاه محقق اردبیلی، اردبیل، ایران.

چکیده
هدف پژوهش حاضر محاسبه ویژگی‌های روان سنجی مقیاس نگرش کلی به هوش مصنوعی در نمونه‌ی ایرانی بود روش پژوهش حاضر توصیفی از نوع پیمایشی بود. برای جمع‌آوری داده‌ها تعداد 414 نفر به روش نمونه‌گیری در دسترس انتخاب شدند. و برای جمع‌آوری داده‌ها از پرسشنامه نگرش کلی به هوش مصنوعی شپمن و رادوی (2020) و مقیاس آمادگی برای پذیرش فناوری چن و همکاران (2014) استفاده گردید. برای تجزیه‌وتحلیل داده‌ها علاوه بر آمار توصیفی، از آزمون همبستگی پیرسون، ضریب آلفای کرونباخ و تحلیل عاملی تأییدی استفاده شد. نتایج تحلیل عاملی تأییدی، دو عامل نگرش مثبت و نگرش منفی به هوش مصنوعی را تائید کرد. نتایج تحلیل ضریب همبستگی پیرسون برای بررسی روایی هم‌زمان دو خرده مقیاس نگرش کلی نسبت به هوش مصنوعی با چهار خرده مقیاس آمادگی برای پذیرش فناوری همبستگی مثبت و معناداری را نشان داد. پایایی بازآزمایی مقیاس نگرش نسبت به هوش مصنوعی براساس نتایج دو بار اجرای آزمون محاسبه و با ضرایب همبستگی 69/0 و 74/0مورد تائید قرار گرفت. بنابراین، مقیاس نگرش کلی به هوش مصنوعی برای سنجش این سازه در نمونه ی ایرانی از روایی و پایایی لازم برخوردار است.

کلیدواژه‌ها


عنوان مقاله English

Psychometric Properties of the General Attitude toward Artificial Intelligence Scale

نویسندگان English

Esmaeil Sadri Damirchi 1
Nasser Abbasi 1
Maryam Ghahremanloo 2
Ali Ghorbaninejad 2
Mohammadreza Noroozi Homayoon 2
1 Department of Counseling, University of Mohaghegh Ardabili, Ardabil, Iran
2 Department of Counseling, University of Mohaghegh Ardabili, Ardabil, Ira
چکیده English

This study examined the psychometric properties of the General Attitude toward Artificial Intelligence Scale (GAAIS) in an Iranian sample. The research followed a descriptive survey design, and 414 participants were selected through convenience sampling. Data were collected using the General Attitude toward Artificial Intelligence Scale (Shepman & Radway, 2020) and the Technology Readiness Scale (Chen et al., 2014). To analyze the data, this study employed descriptive statistics, Pearson correlation tests, Cronbach’s alpha coefficients, and confirmatory factor analysis (CFA). The CFA results supported a two-factor structure (positive attitude and negative attitude toward AI). Pearson correlation analyses revealed significant positive relationships between both subscales of the General Attitude toward AI Scale and the four subscales of the Technology Readiness Scale, supporting concurrent validity. Test-retest reliability was assessed through two administrations, yielding correlation coefficients of 0.69 and 0.74, confirming good temporal stability. These findings demonstrate that the General Attitude toward AI Scale is a valid and reliable measure for assessing this construct in Iranian populations.

کلیدواژه‌ها English

Attitude toward Artificial Intelligence
Psychometric Properties
Artificial Intelligence
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