Development and Validation of the Youth Career Development Competency Scale: A Study Based on Hong Kong Youth

The challenging labor market conditions concomitant with economic globalization and advanced technology have made youth career development competency (YCDC)—young people’s ability to navigate transitions through education into productive and meaningful employment—especially important. The present study aims to develop a holistic instrument to measure YCDC in Hong Kong, which has rarely been investigated in past studies. The sample consisted of 682 youths aged 15–29 years (387 male, mean age = 19.5 years) in Hong Kong. Exploratory factor analysis of the 17-item YCDC scale resulted in four competence factors—engagement, self-understanding, career and pathway exploration, and planning and career management—which accounted for 78.95% of the total variance. The final confirmatory factor analysis results indicated good model fit (CFI = 0.96, TLI = 0.95, RMSEA = 0.06, 90% CI (0.05, 0.07), SRMR = 0.03) and good factor loadings (0.78–0.91). Moreover, the results demonstrated a satisfactory internal consistency of subscales (0.89–0.93). Subgroup consistency across subsamples categorized by gender, age, and years of residence in Hong Kong was also demonstrated. In addition, correlations between the YCDC scale and subscales with other career-related and psychosocial outcomes (i.e., career outcome expectancy, career adaptability, civic engagement, social contribution, and social integration) showed good concurrent validity. The results indicated that the YCDC scale is a valid and reliable tool for measuring career development competence among youth in the Hong Kong context. Its development sheds light on how career professionals can holistically assess young people’s navigation competence during their school-to-work transitions.

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Development and Validation of News Addiction Scale

Pakistan Journal of Psychological Research ◽

10.33824/pjpr.2021.36.1.01 ◽

2021 ◽

Vol 36 (1) ◽

pp. 1-18

Author(s):

Ghulam Ishaq ◽

Saba Ghayas ◽

Adnan Adil

Keyword(s):

Factor Analysis ◽

Convergent Validity ◽

Behavioral Activation ◽

Convincing Evidence ◽

Model Fit ◽

Confirmatory Factor ◽

Principal Axis Factoring ◽

Development And Validation ◽

Unidimensional Structure ◽

Purposive Sample

The current study was undertaken in order to construct a psychometrically sound measure of news addiction for Pakistani people. The research comprised of three studies. The first study dealt with the development of News Addiction Scale (NAS) for Pakistani people. The items of the scale were empirically determined for content validation and an exploratory factor analysis was undertaken on a purposive sample of 247 individuals (men = 183, women = 64; with a mean age of 40.1 years, SD = 15.2 years). Thirty items were subjected to Principal Axis Factoring and the resulting scree plot and Eigenvalues evidenced a single factor solution with 19 items, which accounted for 53.96% of the variance. In the second study, a confirmatory factor analysis was carried out on a sample of 240 participants and the results revealed an excellent model fit to the data, which validated the unidimensional structure of the scale. Study III of the present research was conducted on a purposive sample of 100 individuals and it provided a convincing evidence of convergent validity of the scale as significant positive correlation was observed between news addiction and behavioral activation and concurrent validity as individuals with more duration of exposure had significantly higher mean score on the NAS. Across the two studies, the Cronbach alpha of the scale remained ≥ .90. These pieces of evidence suggested that NAS would be a promising indigenous measure of news addiction.

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Construction and validation of the life roles self-efficacy scale for young adults in school-to-work transition

Current Psychology ◽

10.1007/s12144-020-01083-7 ◽

2020 ◽

Author(s):

Pawel Kot ◽

Bohdan Roznowski ◽

Bernd-Joachim Ertelt

Keyword(s):

Factor Analysis ◽

Career Development ◽

Self Efficacy ◽

Social Roles ◽

School To Work ◽

Development Theory ◽

Reliability Parameters ◽

Key Factor ◽

Development And Validation ◽

Life Roles

Abstract Self-efficacy is widely regarded as a key factor in shaping one’s own career. To date, self-efficacy has usually been measured on a one-dimensional basis without taking into account the interaction between the various social roles involved in career development. The social roles were described by Donald E. Super in his career development theory. Adopting this framework, we provide a questionnaire to simultaneously measure self-efficacy in Super’s five described social roles. This work presents the development and validation of a new questionnaire entitled the Life Roles Self-Efficacy Scale (LRSES). The questionnaire has been developed based on a series of surveys: the first survey (N = 347) aimed to establish the exploratory factor analysis (EFA) and basic psychometric properties of the tool; the second survey (N = 494) aimed to verify the confirmatory factor analysis of the method (CFA) and reliability parameters with regard to a new sample; and the third survey (N = 109) explored the consistency of results over time. Statistical analysis confirmed this tool to be accurate for assessing one’s self-efficacy in school-to-work transitions.

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Measuring Adolescents’ Social Media Behavior Outside and Inside of School: Development and Validation of Two Scales

Journal of Educational Computing Research ◽

10.1177/0735633118786851 ◽

2018 ◽

Vol 57 (5) ◽

pp. 1108-1130 ◽

Cited By ~ 5

Author(s):

Jingyan Lu ◽

Jiutong Luo ◽

Luyao Liang ◽

Mengguo Jing

Keyword(s):

Social Media ◽

Factor Analysis ◽

Hong Kong ◽

Confirmatory Factor Analysis ◽

Principle Component Analysis ◽

Data Sets ◽

Adolescent Students ◽

Confirmatory Factor ◽

Acceptable Model ◽

Development And Validation

This study develops two scales, namely, the outside school social media behavior (OSSMB) scale and inside school social media behavior (ISSMB) scale, to measure the types of behavior that adolescent students engage in on social media in two separate contexts: outside school and inside school. Data collected from 814 students in four Hong Kong secondary schools were divided into two equal data sets ( n = 407 for each) by random selection and then analyzed. Principle component analysis (PCA) and confirmatory factor analysis (CFA) were used to generate and test the structures of the two scales on the different data sets. The PCA results showed good factor loadings for all items (all above .60), and satisfactory total variance were explained by the both structures (69.06% for the OSSMB and 75.30% for the ISSMB). The CFA results showed acceptable model fits for both first- and second-order CFA for both scales. The internal consistency for all factors (and subdimensions) and the two scales were also acceptable. The 21-item OSSMB scale has four subdimensions: Consuming, Communicating, Creating, and Sharing. The 10-item ISSMB scale has three subdimensions: Consuming, Creating, and Sharing. In conclusion, this study provides new tools and conceptual frameworks for assessing students’ social media behavior in two contexts (i.e., outside and inside of school).

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Developing a Brief Version of Ryff’s Scale to Assess the Psychological Well-Being of Adolescents in Hong Kong

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000403 ◽

2019 ◽

Vol 35 (3) ◽

pp. 414-422 ◽

Cited By ~ 3

Author(s):

David W. Chan ◽

Lai-kwan Chan ◽

Xiaoyan Sun

Keyword(s):

Hong Kong ◽

Well Being ◽

Model Fit ◽

Psychological Well Being ◽

Confirmatory Factor Analyses ◽

Three Samples ◽

Confirmatory Factor ◽

Simple Language ◽

Psychology Perspective ◽

Development And Validation

Abstract. Ryff’s Psychological Well-Being Scale (PWBS) has provided a useful measure for investigating the eudaimonic well-being of adults and elderly people from the positive psychology perspective. However, its length and structure, and its applicability to younger populations have raised important concerns in the assessment with Chinese adolescents. Although different shortened versions of PWBS in various languages have been developed, they were mostly not adapted for use with adolescents and did not have satisfactory model fit and internal consistencies. This investigation aimed to develop a brief Chinese PWBS version to assess the eudaimonic well-being of adolescents in Hong Kong. Two studies related to scale development and validation involving three samples of 1,433 adolescents from Hong Kong were reported. Item selection, construct validation, model testing, and rewording of items to suit adolescent use were guided by exploratory and confirmatory factor analyses as well as correlations with external scales assessing similar PWBS content dimensions. The resulting 24-item Chinese PWBS includes only positively keyed items in simple language suitable for adolescent use. Validation and cross-validation results have demonstrated that it is a brief, valid, and reliable scale for assessing adolescent psychological well-being in six dimensions in the Chinese context.

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Development and Validation of the Critical Consciousness Scale

Youth & Society ◽

10.1177/0044118x14538289 ◽

2016 ◽

Vol 49 (4) ◽

pp. 461-483 ◽

Cited By ~ 66

Author(s):

Matthew A. Diemer ◽

Luke J. Rapa ◽

Catalina J. Park ◽

Justin C. Perry

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Critical Reflection ◽

Critical Consciousness ◽

Model Fit ◽

Primary Motivation ◽

Confirmatory Factor ◽

Critical Action ◽

Political Conditions ◽

Development And Validation

This article details the development and validation of a measure of critical consciousness, defined as the capacity of oppressed or marginalized people to critically analyze their social and political conditions, endorsement of societal equality, and action to change perceived inequities. In Study 1, an exploratory factor analysis (EFA) was conducted with a diverse sample of youth, resulting in three internally consistent factors: (a) Critical Reflection: Perceived Inequality, (b) Critical Reflection: Egalitarianism, and (c) Critical Action: Sociopolitical Participation. In Study 2, a confirmatory factor analysis (CFA) was completed with a new sample of youth. Strong model fit estimates in Study 2 confirmed the factor structure of Study 1 and resulted in a final 22-item measure called the “Critical Consciousness Scale” (CCS). The CCS has the potential to unite and advance the fragmented conceptualization and measurement of critical consciousness, the primary motivation for the development of the scale.

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Development and Validation of a German Language Unit-Level Organizational Citizenship Behavior (OCB) Scale

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000558 ◽

2020 ◽

Vol 36 (5) ◽

pp. 852-863 ◽

Cited By ~ 1

Author(s):

George Gunnesch-Luca ◽

Klaus Moser

Keyword(s):

Factor Analysis ◽

Organizational Citizenship ◽

Organizational Citizenship Behavior ◽

Helping Behavior ◽

Citizenship Behavior ◽

German Language ◽

Individual Level ◽

Unit Level ◽

Confirmatory Factor ◽

Development And Validation

Abstract. The current paper presents the development and validation of a unit-level Organizational Citizenship Behavior (OCB) scale based on the Referent-Shift Consensus Model (RSCM). In Study 1, with 124 individuals measured twice, both an Exploratory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) established and confirmed a five-factor solution (helping behavior, sportsmanship, loyalty, civic virtue, and conscientiousness). Test–retest reliabilities at a 2-month interval were high (between .59 and .79 for the subscales, .83 for the total scale). In Study 2, unit-level OCB was analyzed in a sample of 129 work teams. Both Interrater Reliability (IRR) measures and Interrater Agreement (IRA) values provided support for RSCM requirements. Finally, unit-level OCB was associated with group task interdependence and was more predictable (by job satisfaction and integrity of the supervisor) than individual-level OCB in previous research.

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Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000505 ◽

2020 ◽

Vol 36 (2) ◽

pp. 427-431

Author(s):

Aurelie M. C. Lange ◽

Marc J. M. H. Delsing ◽

Ron H. J. Scholte ◽

Rachel E. A. van der Rijken

Keyword(s):

Factor Analysis ◽

Factor Structure ◽

Factor Model ◽

Multisystemic Therapy ◽

Model Fit ◽

Validity And Reliability ◽

Adherence Measure ◽

Therapist Adherence ◽

Confirmatory Factor ◽

The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

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Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽

10.1027/1614-2241/a000033 ◽

2011 ◽

Vol 7 (4) ◽

pp. 157-164

Author(s):

Karl Schweizer

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Cognitive Processing ◽

Latent Variables ◽

Repeated Measures ◽

Latent Variable ◽

Model Fit ◽

Repeated Measures Data ◽

Confirmatory Factor ◽

And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

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