Multilevel and Longitudinal Modeling with IBM SPSS

Heck, Ronald H.; Thomas, Scott L.; Tabata, Lynn N.

doi:10.4324/9780203855263

Cited by 366 publications

(419 citation statements)

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“…Nevertheless, Heck et al (2010) noted more sophisticated nested designs "are rapidly growing in their popularity and use" (p. 320), which will only exacerbate the issues outlined in this study. Hence, researchers should heavily weigh the trade-offs of experiment-wise Type I error inflation for unconditional and statistical power loss for conditional nested designs before utilizing them.…”

Section: Resultsmentioning

confidence: 90%

“…However, nesting is advantageous in order to control for unique effects of a specific level of a nest on another level (e.g., schools on curriculum). There are also more sophisticated multi-level and longitudinal models based on these basic layouts (Heck, Thomas, & Tabata, 2010). However, there has been little discussion in the literature regarding the impact on the inflation of experiment-wise Type I error rates due to the hierarchical testing of treatment effects.…”

Section: Hierarchical Modelingmentioning

confidence: 99%

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Experiment-wise Type I error rates in nested (hierarchical) study designs

Sawilowsky

Markman

2017

J. Mod. App. Stat. Meth.

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Section: Resultsmentioning

confidence: 90%

Section: Hierarchical Modelingmentioning

confidence: 99%

Experiment-wise Type I error rates in nested (hierarchical) study designs

Sawilowsky

Markman

2017

J. Mod. App. Stat. Meth.

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“…This analysis failed to detect a significant difference ( X 2 = 1.97, df = 1, p = 0.16) between the two release groups, so we combined the groups for subsequent modelling purposes. In addition, fish that approached or passed the fishway were likely to do so more than once making the data not independent (Heck, Thoma, & Tabata, ); as such, we incorporated fish ID as a random effect in mixed effects regression models. We used backward model selection with Akaike's information criterion (AIC, Akaike, ) to objectively compare model fits and determine the most parsimonious model with the lowest AIC value.…”

Section: Methodsmentioning

confidence: 99%

Partial dam removal restores passage for a threatened salmonid

Sullivan

Taylor

Carli

et al. 2019

River Research & Apps

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Dams represent one of the major forms of river alteration. As these structures reach the end of their lifespan, they often require extensive refurbishments or removal. A small-scale water supply dam in Banff National Park (Alberta, Canada) was partially removed, creating a breach that allowed water to scour a new passage resembling a nature-like fishway. We investigated the permeability of the partially removed dam as a means of validating the conservation benefits of the partial dam removal.We quantified the proportion of bull trout (Salvelinus confluentus), a threatened species in Canada, that approached and passed the fishway using radio telemetry receiver stations. The proportion of bull trout that approached the fishway was low (37.0%; N = 27 of 73), but was consistent with upstream reference sites (33%; N = 20 of 60). For those that did approach, the proportion of bull trout that passed yielded a high passage efficiency (77.8%; N = 21 of 27 that approached). The probability that a fish passed the fishway was related to water depth and time of day. Bull trout were more likely to pass when water depths were high (>0.40 m), and at night. Passage duration ranged from 5-mins to 13-days, suggesting that this resident species used the fishway for a variety of purposes (e.g., station holding and foraging) and not just transiting. Some individuals underwent large-scale movements 2-km upstream (15.1%; N = 11 of 73), or 2-km downstream (2.7%; N = 2 of 73) following a successful passage event. This study provides new insight on how, in some instances, a breach in a dam can function as a nature-like fishway, accommodatingyear-round stream flows and providing hydraulic conditions suitable for fish passage without costly engineering or construction.

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“…Hierarchical regression modelling was used to specify a hierarchical system of regression equations that takes advantage of the clustered data structure (Heck, Thomas, & Tabata, ; Hong & Chang, ). This procedure explains relations between ideal stream restoration features through image‐based surveys and the AHP data of individual residents representing six subwatersheds, as designed with a multilevel model to investigate a randomly varying intercept model.…”

Section: Methodsmentioning

confidence: 99%

Comparing the functional recognition of aesthetics, hydrology, and quality in urban stream restoration through the framework of environmental perception

Hong

Chang

Chung

2019

River Research & Apps

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This study explores the application of a civic perception analysis in the context of stream restoration as a social-ecological system (SES). Analysing such a SES is useful for understanding correlations between civic interests and environmental conditions in river restoration. An analytic hierarchy process (AHP) analysis was used to quantify the demand for restoration objectives. Additionally, an image-based survey was used to precisely capture residents' perceptions of urban stream restoration by comparing aesthetic images, hydrologic functions, and environmental quality. Based on the AHP results, a hierarchical multiple regression was derived. A total of 181 participants responded to our survey, and the results were summarized by each subwatershed in the An'Yang watershed. The results demonstrated that the perceptions of residents who live in various environmental and regional conditions may manifoldly reflect their personal visual and aesthetic preferences by subwatershed. The upstream subwatershed values (SW1 = 7.86 and SW2 = 7.39) were higher than those in the downstream areas (SW5 = 5.28 and SW6 = 5.15). Consequently, this hierarchical multilevel model showed that individual environmental perception was highly associated with visual preference regarding stream restoration at the subwatershed level (p < 0.001). Urban environmental and spatial planners could use such information when restoring and designing waterfront spaces.

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Multilevel and Longitudinal Modeling with IBM SPSS

Cited by 366 publications

References 0 publications

Experiment-wise Type I error rates in nested (hierarchical) study designs

Experiment-wise Type I error rates in nested (hierarchical) study designs

Partial dam removal restores passage for a threatened salmonid

Comparing the functional recognition of aesthetics, hydrology, and quality in urban stream restoration through the framework of environmental perception

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