Does contemplative pedagogy increase relational well‐being? A time series analysis

Dorais, Stephanie; Niles, Jennifer; Dukes, Allison T.; Colon, Michelle L.; Gutiérrez, Daniel

doi:10.1002/ceas.12244

Cited by 11 publications

(3 citation statements)

References 71 publications

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“…Although it can be used as a stand‐alone analysis, it is typically used as a precursor for forecast modeling and ITSA (Jebb et al., 2015). It can be used with various forms of statistical modeling (e.g., simple smoothing model; Dorais et al., 2022), but it can also be done through visual inspection. Descriptive modeling serves the purpose of explaining trends, cycles, or seasonal patterns within the data (see Figure 1).…”

Section: Stage 1: Methodological Approach and Model Specificationmentioning

confidence: 99%

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Time series analysis in preventive intervention research: A step‐by‐step guide

Dorais

2024

Jour of Counseling & Develop

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Time series analysis (TSA) is a statistical approach rooted in data mining that measures outcomes that consistently fluctuate over time. It is uniquely positioned as a methodology for preventive intervention research due to its capacity to measure long‐term impact in natural settings. With the ability to detect temporal patterns in a series of chronological data points, it allows researchers to detect naturalistic patterns, forecast future observations, and explain a change in data after an intervention is put in place. However, its application is historically sparse across behavioral research. This article provides counseling researchers with an overview of TSA and presents a step‐by‐step guide for conducting TSA analyses in counseling research. The author discusses the key concepts, steps for implementation, and the strengths and challenges of conducting TSA.

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Section: Stage 1: Methodological Approach and Model Specificationmentioning

confidence: 99%

“…various forms of statistical modeling (e.g., simple smoothing model; Dorais et al, 2022), but it can also be done through visual inspection. Descriptive modeling serves the purpose of explaining trends, cycles, or seasonal patterns within the data (see Figure 1).…”

Section: Descriptive Modeling Through Naturalistic Time Seriesmentioning

confidence: 99%

Time series analysis in preventive intervention research: A step‐by‐step guide

Dorais

2024

Jour of Counseling & Develop

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“…Hope has been identified as a vital mechanism for a number of positive clinical outcomes. In counseling and psychology literature, hope has been linked to improvements in well‐being, resilience, academic engagement, human flourishing, reduced depression, mindfulness, anxiety, suicidality, and posttraumatic stress (Dorais & Gutierrez, 2021a, 2021b; Dorais et al., 2022; Kirby et al., 2022; Lopez et al., 2015, 2017; Luo et al., 2016; Rasmussen et al., 2018; Seligman, 2011; Yoon et al., 2015). One of the identified interventions that counselors can utilize for increasing hope is meditation, and recent research suggests it is through the mediating effects of hope that meditation confers its many health‐related outcomes (Munoz et al., 2018; Sears & Kraus, 2009; Sedlmeier, 2012; Strohmaier et al., 2022; Walsh & Shapiro, 2006).…”

Section: Introductionmentioning

confidence: 99%

Can an apophatic meditation promote long‐term adjustment in hope? A time‐series model of centering meditation

Dorais,

Gutierrez,

Fox

et al. 2023

Jour of Counseling & Develop

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The authors investigate the effects of centering meditation on state hope among college and graduate students through a randomized controlled trial. Participants (n = 150; 65% white, 84% female) were randomized to either a centering meditation group or a waitlist control group. Time‐series analyses indicated that centering meditation significantly improved hope, suggesting long‐term dynamic adjustment, compared to a control group. Specifically, the autoregressive integrated moving average (ARIMA) procedures indicated that the treatment group exhibited a statistically significant upward trend in hope, ARIMA (1, 1, 0). As expected, the control group's levels of hope were stationary, ARIMA (1, 0, 1). The study highlights the potential benefits of centering meditation as an evidence‐based counseling intervention for improving hope in the college population.

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