Developing and Testing a Smartphone Dependency Scale Assessing Addiction Risk

2021 ◽  
Vol 10 (4) ◽  
pp. 14-38
Author(s):  
Donald Amoroso ◽  
Ricardo Lim ◽  
Francisco L. Roman
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Emerging Economies ◽  
Emerging Market ◽  
The Philippines ◽  
Smartphone Addiction ◽  
Confirmatory Factor ◽  
Excellent Internal Consistency ◽  
Addiction Risk ◽  
Smartphone Use

A 2019 Pew study of emerging economies revealed citizen concerns over smartphone use as risky behavior and their ill effects, such as addiction and overdependency, among many factors. In response, the authors developed a smartphone dependency scale (SDS) of factors that contribute to smartphone addiction, particularly for emerging economies like the Philippines. The instrument was developed from previously validated constructs. They propose that social influence, convenience, affective (anxiety), physiological (maladjustment), and cognitive (mindfulness) factors separately drive smartphone dependency. To test the SDS, the authors surveyed 901 Philippine participants. The scales showed excellent internal consistency and reliability and adequate concurrent and criterion-related validities. A confirmatory factor analysis showed that SDS factors had good data fit. This instrument is a first step in (1) exploring why individuals become dependent (addicted) on mobile devices and (2) stimulating further research concerning smartphone dependency for emerging market settings.

scholarly journals The Italian Version of Smartphone Addiction Inventory (SPAI-I) for Adolescents: Confirmatory Factor Analysis and Relation with Self-Control and Internalized-Externalized Symptoms

2021 ◽  
Author(s):  
Giulia Bassi ◽  
Adriana Lis ◽  
Tatiana Marci ◽  
Silvia Salcuni
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Self Control ◽  
Smartphone Addiction ◽  
Confirmatory Factor ◽  
Smartphone Use ◽  
Strengths And Difficulties ◽  
The Relationship

AbstractThe increased smartphone use in adolescence has led clinicians and researchers to carry out in-depth studies on the matter. Adolescents seem to be at risk of smartphone addiction because they are yet to develop self-control in smartphone use. This psychometric study aimed at examining the levels of validity evidence for the Smartphone Addiction Inventory-Italian (SPAI-I) version for adults, among adolescents. Confirmatory Factor Analysis confirmed the factor structure of the SPAI-I version for adults among adolescents but not the exploratory factor structure for adults of the original Smartphone Addiction Inventory (SPAI). Convergent validity was assessed by examining the relationship between SPAI-I, self-control, and internalized and externalized problems. A total of 446 Italian adolescents (mean age = 16.04, SD = 1.72, 36.3% males) completed the Self-Restraint Subscale of the Adolescent Self-Consciousness and the Strengths and Difficulties Questionnaires—with a specific focus on the subscales of internalized and externalized problems. Present findings suggested that the SPAI-I version could be used to assess smartphone overuse among adolescents according to a multidimensional perspective.

scholarly journals Validation of the Hedonic and Eudaimonic Motives for Activities-Revised Scale in Chinese Adults

2021 ◽  
Vol 18 (8) ◽  
pp. 3959
Author(s):  
Wenjie Li ◽  
Linting Zhang ◽  
Ning Jia ◽  
Feng Kong
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Predictive Validity ◽  
Factor Model ◽  
Well Being ◽  
Smartphone Addiction ◽  
Chinese Adults ◽  
Confirmatory Factor ◽  
Chinese Undergraduates

The Hedonic and Eudaimonic Motives for Activities-Revised scale (HEMA-R) is one of the most extensively used instruments to assess how people pursue well-being. The main aims of the present research were to translate HEMA-R into Chinese and test its construct and predictive validity as well as measurement invariance across gender. In Study 1, we conducted confirmatory factor analysis with data containing 1090 Chinese undergraduates, and replicated the two-factor model which has been found in other studies. Furthermore, the measurement invariance across gender was supported throughout the multi-group confirmatory factor analysis. Study 2 replicated these results and further found the HEMA-R had satisfactory predictive validity in measures of well-being, social support and smartphone addiction. All the findings indicate that the HEMA-R is reliable and valid to measure hedonic and eudaimonic motives, and it could be applied generally across gender in Chinese adults.

scholarly journals Validation of the State Version of the State-Trait Anxiety Inventory in a University Sample

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110319
Author(s):  
Christopher L. Thomas ◽  
Jerrell C. Cassady
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Trait Anxiety ◽  
State Anxiety ◽  
The State ◽  
Cognitive Test ◽  
State Trait Anxiety Inventory ◽  
Cognitive Test Anxiety ◽  
Confirmatory Factor ◽  
Excellent Internal Consistency

Spielberger’s State-Trait Anxiety Model makes a theoretical distinction between the contribution of dispositional anxiety and the transitory experience of anxiety to performance difficulties during testing situations. According to the State-Trait framework, state anxiety is viewed as the primary performance barrier for test-anxious students, and as such, educators and educational researchers have expressed interest in validated, state anxiety measurement tools. Currently, the most widely used measure of state anxiety is the state version of the State-Trait Anxiety Inventory. However, evidence regarding the psychometric properties of this scale is relatively scarce. Therefore, the current study was designed to determine the structural validity, reliability, and concurrent/divergent validity of the instrument. Participants ( N = 294) completed the state version of the State-Trait Anxiety Inventory, Positive and Negative Affect Schedule, Cognitive Test Anxiety Scale 2nd Edition, and an exam task. Using confirmatory factor analysis, we tested the viability of one-, two-, and bi-factor solutions for the State-Trait Anxiety Inventory. Confirmatory factor analysis results indicated a two-factor solution consisting of State Anxiety and State Calmness dimensions provided superior fit to the observed data. Results of a reliability analysis indicated that the State Anxiety and State Calmness factors demonstrated excellent internal consistency when applied to university students. Our discussion concerns the utility of the State Anxiety factor as a tool for the identification of test-anxious students.

scholarly journals Firm-level trust in emerging markets: the moderating effect on the institutional strength- corruption relationship in Mexico and Peru

2018 ◽  
pp. 127-138 ◽  
Author(s):  
Carol M. Sánchez ◽  
Kevin Lehnert
Keyword(s):  
Factor Analysis ◽  
Linear Regression ◽  
Confirmatory Factor Analysis ◽  
Emerging Markets ◽  
Emerging Market ◽  
Moderating Effect ◽  
Institutional Environments ◽  
Firm Level ◽  
Weak Institutions ◽  
Confirmatory Factor

Emerging market firms often face corruption and institutional weakness in their environments. Firm-level trust may help with these challenges. In these countries, firm-level trust may engage employees and reduce pressure on firms from weak institutions and corruption. This is a study of employees of firms in Mexico and Peru, and it measures perceptions of corruption, trust, and institutional strength. Using confirmatory factor analysis and linear regression, the study tests hypotheses that trust moderates the weak institution - perceived corruption relationship. Findings suggest that trust may help employees be productive despite these challenges. Firms that build trust among employees may be better able to confront the challenges of corrupt and uncertain institutional environments.

scholarly journals Confirmatory Factor Analysis of the Malay Version of the Smartphone Addiction Scale among Medical Students in Malaysia

2020 ◽  
Vol 17 (11) ◽  
pp. 3820 ◽  
Author(s):  
Siti Rubiaehtul Hassim ◽  
Wan Nor Arifin ◽  
Yee Cheng Kueh ◽  
Nor Azwany Yaacob
Keyword(s):  
Factor Analysis ◽  
Medical Students ◽  
Confirmatory Factor Analysis ◽  
Internal Consistency ◽  
Concurrent Validity ◽  
Five Factor Model ◽  
Internal Consistency Reliability ◽  
Smartphone Addiction ◽  
Correlated Errors ◽  
Confirmatory Factor

Background: At present, the validity and reliability evidence of the Malay version of the Smartphone Addiction Scale (SAS-M) is only available by exploratory factor analysis (EFA). The aim of this study is to validate and determine the psychometric properties of the SAS-M by confirmatory factor analysis (CFA). Methods: A cross-sectional study was conducted among 323 medical students in Universiti Sains Malaysia. The students were given questionnaire forms consisting of socio-demographic information, the SAS-M and the Malay version of the Internet Addiction Test (MVIAT). The CFA was conducted using robust maximum likelihood estimator. The internal consistency reliability was determined by Raykov’s rho coefficient. The concurrent validity was assessed by the Pearson’s correlations between the factor scores of the SAS-M and the MVIAT. Results: The analysis showed the five-factor model of the SAS-M has an acceptable model fit after the inclusion of 12 correlated errors (SRMR = 0.067, RMSEA 0.059 (90% CI: 0.054, 0.065), CFI = 0.895, TLI = 0.882). The factor loadings ranged from 0.320 to 0.875. The internal consistency reliability was good (Raykov’s rho = 0.713 to 0.858) and it showed good concurrent validity with the MVIAT. Conclusions: The CFA showed that the SAS-M is a valid and reliable self-administered questionnaire to measure the level of smartphone addiction among medical students.

scholarly journals The validity and reliability of Persian version of smartphone addiction questionnaire in Iran

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Zahra Shaahmadi ◽  
Touraj Ahmadi Jouybari ◽  
Bahare Lotfi ◽  
Abbas Aghaei ◽  
Reza Ghanei Gheshlagh
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Content Validity ◽  
Face Validity ◽  
Smartphone Addiction ◽  
Validity And Reliability ◽  
Persian Version ◽  
Persian Language ◽  
Confirmatory Factor ◽  
Iranian Version

Abstract Background Smartphone addiction is one of the most important forms of technology addiction that has attracted the attention of all countries around the world. Many studies have been conducted in Iran on cellphone addiction among different groups. There is a necessity to have a native scale for measuring smartphone addiction in particular. Therefore, this study aimed to localize the smartphone addiction questionnaire in Iran (in the Persian language). Methods To assess the validity and reliability of the Persian version of the smartphone addiction scale (SAS), the questionnaire was first provided based on the standard back-translation method. Next, content validity ratio (CVR), content validity index (CVI), and face validity was evaluated for translated questionnaire. After making the necessary changes, the questionnaire was given to the community samples and was then reviewed using confirmatory factor analysis of questions grouping. Finally, the reliability of the questionnaire was investigated by the test-retest method. Results The CVR and CVI values of all questions were within the acceptable range. Only some of the questions in the original SAS version titled Twitter and Facebook were changed to Instagram and telegram according to experts. Internal consistency and concurrent validity of the questionnaire were confirmed by Cronbach’s alpha of 0.951. The mean correlation coefficient between the responses of the subjects, who received the questionnaire twice, was 0.946 (0.938–0.954). The grouping of questions in the subscales was changed from the original SAS version because the fitting indexes, obtained from the confirmatory factor analysis test (for example CMIN/DF greater than 5 units and RMSEA of approximately 0.07), were not acceptable. Conclusion The results showed that the Iranian version of the cellphone addiction questionnaire can be used as a valid, with minimal modification, tool for determining the level of smartphone addiction among Persian speakers.

Development and psychometric properties of the Anticipatory Anxiety Inventory

2021 ◽  
Vol 25 (3) ◽  
pp. 261-288
Author(s):  
Simge Vural ◽  
Nuno Ferreira
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Clinical Settings ◽  
Anticipatory Anxiety ◽  
Factor Solution ◽  
Confirmatory Factor ◽  
Excellent Internal Consistency ◽  
Physical Responses

Background: Anticipatory Anxiety (AA) is defined as a course of thoughts, feelings, and actions occurring just and only "before" an anxiety-provoking event. In order to explore this construct, the Anticipation Anxiety Inventory (AAI) was developed and its psychometric properties have been investigated in two studies. Methods: Study 1 used an Exploratory Factor Analysis approach to determine the factor structure of the items of the scale. In study 2, a Confirmatory Factor Analysis was performed to assess the scale structure, the validity of the factor solution, and convergent and discriminatory validity. Results: Exploratory factor analysis from study 1 suggested 13 items across four factors for the AAI: Emotional Hypersensitivity, Physical responses to AA, Dysfunctional Cognitions, and Daily Functioning. In study 2, the Confirmatory Factor Analysis indicated that the 4-factor solution of the AAI had an acceptable fit, excellent internal consistency (α= 0.92), and displayed good convergent and discriminatory validity. Conclusion: The AAI could be proposed as a useful valid and reliable tool to investigate AA. For future implications, more research is needed regarding the utility of this measure in experimental designs or clinical settings.

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