Advanced and Multivariate Statistical Methods

Mertler, Craig A.; Reinhart, Rachel Vannatta

doi:10.4324/9781315266978

Cited by 247 publications

(134 citation statements)

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“…23 One purpose of discriminant function analysis (DFA) is prediction (ie, predictive discriminant analysis), and its goal is to determine the dimensions on which groups differ. 37 For this study, DFA was used to test whether the 2 subscales could accurately classify participants into normal- and obese-weight groups. Only 1 significant function was generated, L = .376, χ 2 (2) = 32.27, P < .001, which indicated that the function containing the 2 predictors significantly differentiated between normal- and obese-weight participants.…”

Section: Resultsmentioning

confidence: 99%

Weighing in on the Body Knowledge Questionnaire

Hernandez

2015

Diabetes Educ

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This research provided preliminary evidence of the validity (content, construct, and criterion) and reliability (internal consistency) of the BKQ. With additional psychometric testing, the BKQ instrument has great potential for use in weight management practice areas, such as diabetes education, dietetics, nursing, and psychology, for use in individual or group weight management programs and program evaluation; or in the development of novel weight management interventions.

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Section: Resultsmentioning

confidence: 99%

Weighing in on the Body Knowledge Questionnaire

Hernandez

2015

Diabetes Educ

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“…The analysis used in calculating the validity of each question is Anates software version 4.0.9 for Windows. The technique used to analyze the data was inferential statistical analysis with ANCOVA analysis at a significant level of 5% (Mertler & Reinhart, 2016). Firstly, the prerequisites of the analysis of the data obtained were tested including normality test (Kolmogorov-Smirnov) and variance homogeneity (Levene's-Test) (O'Neill & Mathews, 2000).…”

Section: Methodsmentioning

confidence: 99%

Science literacy skills through the experience of project activities with assisted local potential based learning materials

Hernawati

Amin

Muhdhar

et al. 2019

JPBI

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Scientific skills literacy is one of the skills that students need to have to support the learning process. This study aims to explain the literacy skills of the students through project experience with the help of local potential-based teaching materials. This research is a quantitative study and it used quasi-experimental design, pre-and posttest design. ANCOVA analysis was used as the data analysis technique at a significant level of 5% (p <0.5). Analysis prerequisite tests included the Kolmogorov-Smirnov test for normality test and homogeneity of variance with Levene's-Test. All data testing was done using the SPSS version 23.0 for Windows. The results of the study show that the experience of project activities has a significant effect on the scientific literacy skills in three competencies. These competencies are to explain scientific phenomena, evaluate and design scientific investigations and interpret scientific evidence and data. Competence in evaluating and designing scientific investigations has the greatest significance compared to the other two competencies.

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“…The assumptions of normality, linearity, and homoscedasticity were examined prior to conducting the regression analysis. 42,43 Descriptive statistics associated with the predictors were examined to assess the normality of the distribution. The results of these analyses indicated that each of the 10 predictors had skewness and kurtosis values within the acceptable range.…”

Section: Methodsologymentioning

confidence: 99%