Advanced Applications of Structural Equation Modeling in Counseling Psychology Research

By M. Martens, R. Haase. 2006

250 citations recorded by the source corpus.

Subfields: Clinical Psychology, Management Science and Operations Research, Safety Research

View Paper: https://www.semanticscholar.org/paper/d731c9cf043bd1941dfafc1d89197c5f10384c19

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. Dawn M. Szymanski
2. Erika R. Carr
3. William T. Hoyt
4. Bonnie Moradi
5. Rosalia E. Warbasse
6. Erica Y. Chu
7. Hsin Hsin Chang
8. Su Wen Chen

In Management Science and Operations Research

1. Rosalia E. Warbasse
2. Anthony Sarkees
3. Erica Y. Chu
4. Hsin Hsin Chang
5. Su Wen Chen
6. Dawn M. Szymanski
7. Pervaiz Akhtar
8. S. Ullah

In Safety Research

1. Anne Herrmann
2. A. Hirschi
3. J. Perry
4. Y. Pabian
5. Xiongyi Liu
6. Yanjun Guan
7. Zijun Cai
8. Xin Lai

Citations in the corpus

• Should Students Have a Gap Year? Motivation and Performance Factors Relevant to Time Out after Completing School. (2010, background): “In CFA and SEM, it is well known that alternate models can fit the data equally well or better than the hypothesized one (Kaplan, 1990; Martens & Haase, 2006).”
• Reciprocal associations between shyness, self-esteem, loneliness, depression and Internet addiction in Chinese adolescents (2020, background): “…that time 1 self-esteem could not predict time 2 Internet addiction (b¼ 0.01, SE¼ 0.03, p¼ 0.75), whereas M12 indicated that time 1 Internet addiction could negatively predict time 2 self-esteem (b ¼ 0.12, SE¼ 0.03, p 0.01), which suggested M12 should be retained (Martens and Haase 2006).”
• The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator (2008, methodology): “In the data-analytic realm, a considerable volume of literature discusses the mechanics of the statistical solution to such models (e.g. Berry, 1984; Kline, 2005; Martens and Haase, 2006; Wong and Law, 1999).”
• Tourism Entrepreneurship Performance (2015, background): “While some studies suggest that gender plays a minimal role in enhancing or reducing entrepreneurial self-efficacy (Mueller and Dato-On 2008), empirical evidence strongly supports significant differences between male and female entrepreneurs across a range of areas. For example, because males are us”
• Guidelines for Meta-Analyses of Counseling Psychology Research (2006, background): “…complex such as by using multiple indices of the criterion variable (e.g., client outcome), many studies report multiple effects generated in a single primary study (structural equation modeling also enables more complex studies; see Martens & Haase, 2006 [this issue]; Weston & Gore, 2006).”
• Conducting Research With LGB People of Color: Methodological Challenges and Strategies (2010, background): “Covariates also can be considered in latent growth curve modeling (Martens & Haase, 2006).”
• Pathways to Occupational Attainment Among Poor Youth of Color (2009, methodology): “24 Diemer / Pathways To Occupational Attainment 25 constructs over time and supports the operationalization of these constructs (Martens & Haase, 2006; Quintana & Maxwell, 1999).”
• Modeling dynamics in career construction: Reciprocal relationship between future work self and career exploration (2017, methodology): “In all models, as suggested by Martens and Haase (2006), we specified the latent variables at each time point as being correlated with each other, as well as the disturbances of the same parcels at both time points.”
• Calling and Career Preparation: Investigating Developmental Patterns and Temporal Precedence. (2013, methodology): “If significant, the better-fitting model of these two models was compared with the fully crosslagged model (M4) to determine the most appropriate model (Martens & Haase, 2006).”
• Effects of entrepreneurial knowledge on entrepreneurial intentions: a longitudinal study of selected South-east Asian business students (2014, methodology): “Following the procedures recommended by Martens and Haase (2006), four structural models were developed and tested using PLS–SEM aided by the WarpPLS software.”
• School Engagement as a Mediator of Academic Performance Among Urban Youth: The Role of Career Preparation, Parental Career Support, and Teacher Support (2010, background): “…career variables to a moderate degree and because career decision making (in general) shares a recursive relationship with vocational exploration (Martens & Haase, 2006), it is reasonable to postulate that CDMSE can influence school engagement in tandem with other career development processes.”