• Stress
• /
• v.25 no.2
• /
• pp.86-92
• /
• 2017

The present study investigated the effect of music intervention on the anxiety of children and adolescents using meta-analysis, and the specific research purposes were as follows. The targets of the present study were previous studies analyzed the effect of music intervention on anxiety collected the final 28 theses for academic degrees and five scholarly journal articles were used in the analysis. To examine the publication bias of the studies used in the analysis, funnel plot and fail-safe N were verified, and found the publication bias was not significant enough to influence the present study. The homogeneity test showed that the effect size was heterogeneous, and accordingly, a random effect model analysis was carried out and the overall effect size was found to be -1.034. The analysis on the difference in the effect showed that the effect size varied according to subject classification and intervention location for categorical variables and size for continuous variables.

• Journal of Industrial Convergence
• /
• v.19 no.3
• /
• pp.61-65
• /
• 2021

This study aimed to analyze effects of Arduino-based education for secondary school students through meta-analysis. Prior studies including journal articles and theses were selected through rigorous review. The researcher calculated the overall effect size and effect sizes by categorical variables. Research findings are as follows. First, the total effect size of Arduino-based education was 0.537. Second, the effect sizes by type of dependent variables were the affective domain 0.849 and the cognitive domain 0.479. Third, the effect sizes by school level were the middle school 0.796 and the high school 0.474. Fourth, the effect sizes by subject areas were music 1.255, science 0.562, technology 0.443, and information 0.429. Fifth, the effect sizes by types of programming were the graphic-based programming 0.543 and the text-based programming 0.376.

• Journal of Integrative Natural Science
• /
• v.5 no.4
• /
• pp.241-245
• /
• 2012

Categorical data collected based on complex sample design is not proper for the standard Pearson multinomial-based chi-squared test because the observations are not independent and identically distributed. This study investigates effects of bias of point estimator of population proportion and its variance estimator to the standard Pearson chi-squared test statistics when the sample is collected based on complex sampling scheme. This study examines the effect under two population homogeneity test. The standard Pearson test statistic can be partitioned into two parts; the first part is the weighted sum of ${\chi}^2_1$ with eigenvalues of design matrix as their weights, and the additional second part which is added due to the biases of the point estimator and its variance estimator. Our empirical analysis shows that even though the bias of point estimator is small, Pearson test statistic is very much inflated due to underestimate the variance of point estimator. In the connection of design-based variance estimator and its design matrix, the bigger the average of eigenvalues of design matrix is, the larger relative size of which the first component part to Pearson test statistic is taking.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.3
• /
• pp.593-601
• /
• 2013

We often need to include categorial variables as explanatory variables in regression models. The categorial variables in regression models can be quantified through dummy variables. In this study, we provide an education tool using Excel VBA for displaying regression lines along with test results for regression models with a continuous explanatory variable and one or two categorical explanatory variables. The regression lines with test results are provided step by step for the model(s) with interaction(s), the model(s) without interaction(s) but with dummy variables, and the model without dummy variable(s). With this tool, we can easily understand the meaning of dummy variables and interaction effect through graphics and further decide which model is more suited to the data on hand.

• Journal of Digital Convergence
• /
• v.15 no.2
• /
• pp.89-98
• /
• 2017

This study analyzed empirically the same data through SPSS statistics(regression analysis) and AMOS program(structural equation model) used for cause and effect analysis. The result of empirical analysis of moderation effect was as follows. Meanwhile, SPSS statistics(regression analysis) did not pictured moderation effect in the categorical data(sex) and continous data(satisfaction of consunting), AMOS program(structural equation model) pictured partial moderation effect about the effecting of consultant's capability and attitude on the consulting repurchase within 10% level of significant. Eventually, This study showed that AMOS program and SPSS statistics used different methology in moderation effect, thus the different outcomes appeared although using the same data.

• The Korean Journal of Applied Statistics
• /
• v.27 no.7
• /
• pp.1077-1095
• /
• 2014

Unlike randomized trial, statistical strategies for inferring the unbiased causal relationship are required in the observational studies. Recently, new methods for the causal inference in the observational studies have been proposed such as the matching with the propensity score or the inverse probability treatment weighting. They have focused on how to control the confounders and how to evaluate the effect of the treatment on the result variable. However, these conventional methods are valid only when the treatment variable is categorical and both of the treatment and the result variables are directly observable. Research on the causal inference can be challenging in part because it may not be possible to directly observe the treatment and/or the result variable. To address this difficulty, we propose a method for estimating the average causal effect when both of the treatment and the result variables are latent. The latent class analysis has been applied to calculate the propensity score for the latent treatment variable in order to estimate the causal effect on the latent result variable. In this work, we investigate the causal effect of adolescents delinquency on their substance use using data from the 'National Longitudinal Study of Adolescent Health'.

• Physical Therapy Korea
• /
• v.19 no.2
• /
• pp.48-58
• /
• 2012

The objective of this study was to evaluate the effects of mirror therapy on motor function recovery following a stroke through a systemic review and meta-analysis. In total, nine of the 48 studies were identified from search engines between 1997 and 2011, as well as from a review of the reference lists of each identified study. The quality of each study was assessed using Jadad scale, and the effect size was calculated as a Cohen's effect size using MetaAnalyst (Beta 3.13). The overall effect size of the mirror therapy was 2.005 (95% confidence interval=1.041~2.970) in a random-effects model. This finding suggests that mirror therapy is beneficial for improving motor function following a stroke. The results from the subgroup analysis according to categorical variables were as follows: First, the effect size was larger for an onset time of less than 1 year (1.166) than for a duration of 1 year or more (.668). Second, the effect size of unpublished dissertations (1.610) was larger than published articles (1.221). Third, motor recovery of upper extremities (1.609) had a greater effect than motor recovery of lower extremities (.903). The major limitation of this study is the relatively small study population. Therefore, further individual studies of mirror therapy should be conducted in order to generalize the effects. In addition, mirror therapy supervised by a physical therapist should be recognized as a potential approach to manage motor function following a stroke and recommended to patients to improve their motor function.

• Journal of Industrial Convergence
• /
• v.18 no.5
• /
• pp.97-101
• /
• 2020

This study intended to analyze effects of education of python through meta-analysis. The researcher selected five primary studies reporting statistical data after implementing education of python in elementary classroom settings. Three research questions were stated. What is the total effect size of education of python? What are effect sizes of publication type, dependent variable, and etc.? What are results of meta-regression analysis by grade level, period, and etc.? Findings are as follows. The overall effect size was .598, which is medium. For categorical variables, the effect size of peer-reviewed journal articles was larger than theses. The effect size of affective domain was larger than student achievement and cognitive domain. For meta-regression analysis, education of python was more effective as the period and duration of the program increased. Finally, discussions and recommendations including qualitative investigation on affective domain and program management considering characteristics were presented regarding research findings.

• Journal of Korean Physical Therapy Science
• /
• v.24 no.1
• /
• pp.59-68
• /
• 2017

Purpose : The aims of this study was to conduct a systematic literature review with meta-analysis to investigate the effect of virtual reality based rehabilitation program on balance of patient with stroke in Korean studies. Method : The studies for analysis were searched in electronic databases(Research Information Sharing Service; RISS, Korean Studies Information Service; KISS, DBpia, e-articles, National Assembly Library). The key words for search were 'virtual reality', 'stroke', and 'balance' and only randomized controlled trials and clinical controlled trials were included. Of 40 studies identified in the search, 20 studies met the criteria of this study and included in this meta-analysis. Result : The results were as follows: 1) The overall effect size of virtual reality based rehabilitation program was 0.557(95% critical interval; 0.340~0.774). 2) In the analysis of sub-categorical variables, effect size was as follows; the commercial game type(0.621) > virtual environment type(0.335); the dynamic balance measurement(0.750) > static balance measurement(0.226); randomized controlled trial(0.653) > clinical controlled trial(0.275); and thesis type(0.706) > article of journal type(0.339). 3) In the analysis of sub-continuous variables, as time of program(per session) increased, the balance increased(p<0.05). Conclusion : The results of this study showed that virtual reality based rehabilitation program moderately improves the balance of stroke patient. Further studies are recommended to investigate the effect of sub-variables related to virtual reality programs on motor functions of patient with stroke.

• Phonetics and Speech Sciences
• /
• v.3 no.2
• /
• pp.37-52
• /
• 2011

This study investigates patterns of the alignment of the accentual peaks in bisyllabic words of the CVNCV, CVNV, and CVNNV structures in North Kyungsang Korean. Based on the tonal alignment, patterns of the F0 pitch excursion are discussed relative to one another. Issues are addressed concerning how the tonal targets are aligned, and how the tonal specifications of nasals in postvocalic, intervocalic, and prevocalic environments are supplied in the LH, HL, and HH classes. Tonal specification of nasals in various environments is accounted for by extension of the L target, displacement of the pitch peak, and interpolation between two tonal targets, depending on the tonal class. The results in this study provide preliminary evidence that the categorical alignment of the tonal targets is implemented by simply checking the presence or absence of a nasal before or after the nucleus vowel on the segmental string, without reference to the constituency of the nasal in the syllable structure. However, the prosodic structure has a key role to play in explaining speaker-dependent variations in the tonal alignment. Sensitivity to tautosyllabicity has an effect on the shape of the F0 contour, and disparity in the patterns of the pitch excursion is represented as a function of syllable structure correlated with segmental composition of the nasal.