Multilevel Modeling of Categorical Outcomes Using IBM SPSS

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

doi:10.4324/9780203808986

Cited by 240 publications

(263 citation statements)

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“…Before conducting analyses, one should determine the particular sampling distribution and link function for building models (Heck et al, 2012). The choice of link function must be determined initially for GLM to develop models, which will predict the likelihood of the outcome event happening (Heck et al, 2012).…”

Section: Frequency Distribution Of Extra Math Lessonsmentioning

confidence: 99%

A multilevel analysis of Japanese middle school student and school socioeconomic status influence on mathematics achievement

Takashiro

2016

Educ Asse Eval Acc

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The results indicated that at the student level, different aspects of student SES (i.e. number of books, the possession of computers, paternal, and maternal educational achievements were positively related to Japanese student math achievement. At the school level, two aspects of school SES (i.e. less populated schools and economically disadvantaged schools) were negatively related to Japanese student math achievement.Especially, Japanese students who attended schools in less populated areas were more disadvantaged relative to those who attended schools in more populated areas. None of the cross-level interactions were significant, but the random effect for computer slope was significant. ivThe results of the proportional reduction of prediction error explained by both student and school SES were small, meaning the residual variances at student and school SES were small. Small school SES residual variance may indicate a stratification of public middle schools.The findings also showed that maternal educational background was related to their children's odds of participation in extra math lessons after schools. When mothers were more educated, Japanese students were more likely to participate in extra math lessons. From the results of the two study findings, the maternal level of education influenced Japanese students' academic areas.The theoretical applications in the contexts of Japanese culture were also discussed.v

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Section: Frequency Distribution Of Extra Math Lessonsmentioning

confidence: 99%

A multilevel analysis of Japanese middle school student and school socioeconomic status influence on mathematics achievement

Takashiro

2016

Educ Asse Eval Acc

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“…Although this did not meet established criteria for being collinear, it was determined that the best method was to continue modeling without an interaction effect. 24 The intercept for the unconditional MLM was .35 (CI .31-.39, p,.001), which indicates that the odds for a student to attain residency was .35 to 1. This translates to about a 1 in 4 probability of attaining residency and suggests that students were about .35 times more likely to attain residency than not attain residency within the average school.…”

Section: Resultsmentioning

confidence: 97%

Student and School-level Predictors of Pharmacy Residency Attainment

Lyons

Taylor

Minshew

et al. 2018

American Journal of Pharmaceutical Education

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Objective. To identify student and school level predictors of pharmacy residency attainment. Methods. Data were collected from the American Association of Colleges of Pharmacy (AACP) and the Carnegie Classification of Institutions of Higher Education. Logistic multilevel modeling was used to examine the effects of select student and school level characteristics on pharmacy residency attainment, as indicated by students on the AACP Graduating Student Survey (GSS) from 2013 to 2015.Results. The dataset included 24,351 graduating pharmacy students from 101 schools and colleges of pharmacy. Predictors of residency attainment included working in an institutional pharmacy, female gender, student age, school age, and Research I classification. Nonsignificant variables included curriculum type, class size, and institutional control. Conclusion. Student and pharmacy school characteristics impact the likelihood of pharmacy residency attainment. Further research is needed to understand the mechanisms associated with these effects.

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“…A factor of the reciprocal of the size of the opposite treatment group was added to the cells (Sweeting, Sutton & Lambert, 2004). Logistic regression and multilevel logistic regression models were developed to provide odds ratio adjusted for confounders (Peng & So, 2002;Heck, Thomas & Tabata, 2013). In the multilevel logistic regression with prevalence of RCT as the outcome, discipline (veterinary/general medicine) and type of intervention (i.e., surgical/non-surgical) were included as fixed effects and journal as a random effect (Heck, Thomas & Tabata, 2013).…”

Section: Notementioning

confidence: 99%

“…Logistic regression and multilevel logistic regression models were developed to provide odds ratio adjusted for confounders (Peng & So, 2002;Heck, Thomas & Tabata, 2013). In the multilevel logistic regression with prevalence of RCT as the outcome, discipline (veterinary/general medicine) and type of intervention (i.e., surgical/non-surgical) were included as fixed effects and journal as a random effect (Heck, Thomas & Tabata, 2013). In the logistic regression models, confounders included: type of intervention (i.e., surgical/non-surgical), type of trial (randomized/non-randomized), type of patients enrolled (clinical patients/non-patients), and discipline (veterinary/medicine).…”

Section: Notementioning

confidence: 99%

Deficiencies of effectiveness of intervention studies in veterinary medicine: a cross-sectional survey of ten leading veterinary and medical journals

2016

Draw Science

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The validity of studies that assess the effectiveness of an intervention (EoI) depends on variables such as the type of study design, the quality of their methodology, and the participants enrolled. Five leading veterinary journals and 5 leading human medical journals were hand-searched for EoI studies for the year 2013. We assessed (1) the prevalence of randomized controlled trials (RCTs) among EoI studies, (2) the type of participants enrolled, and (3) the methodological quality of the selected studies. Of 1707 eligible articles, 590 were EoI articles and 435 RCTs. Random allocation to the intervention was performed in 52% (114/219; 95%CI:45.2-58.8%) of veterinary EoI articles, against 87% (321/371; 82.5-89.7%) of human EoI articles (adjusted OR:9.2; 3.4-24.8). Veterinary RCTs were smaller (median: 26 animals versus 465 humans) and less likely to enroll real patients, compared with human RCTs (OR:331; 45-2441). Only 2% of the veterinary RCTs, versus 77% of the human RCTs, reported power calculations, primary outcomes, random sequence generation, allocation concealment and estimation methods. Currently, internal and external validity of veterinary EoI studies is limited compared to human medical ones. To address these issues, veterinary interventional research needs to improve its methodology, increase the number of published RCTs and enroll real clinical patients.

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Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Cited by 240 publications

References 0 publications

A multilevel analysis of Japanese middle school student and school socioeconomic status influence on mathematics achievement

A multilevel analysis of Japanese middle school student and school socioeconomic status influence on mathematics achievement

Student and School-level Predictors of Pharmacy Residency Attainment

Deficiencies of effectiveness of intervention studies in veterinary medicine: a cross-sectional survey of ten leading veterinary and medical journals

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