Binary Logistic Regression Analysis of Instructional Leadership Factors Affecting English Language Literacy in Primary Schools

Sio, Jarrod Jyh Lih; Ismail, Ramlee

doi:10.17576/3l-2019-2502-02

Cited by 7 publications

(5 citation statements)

References 53 publications

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“…Several of the strategies derived from the findings include teachers' early intervention, teaching students appropriately, having clear learning outcomes, and employing a variety of teaching methods to transmit knowledge to students. In contrast, previous research by Sio and Ismail [21] found that teacher efficacy is the most important factor in improving students' literacy and numeracy skills. This could be because teachers are good at using different teaching methods to improve their students' reading and math skills.…”

Section: Discussioncontrasting

confidence: 61%

Effectiveness of literacy and numeracy in commerce subjects among secondary schools in Fiji

Singh,

Chand,

Kumar

et al. 2023

EduLearn

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This study aimed to evaluate the students’ efficacy in literacy and numeracy skills in commerce subjects in secondary schools in Fiji. Focus group discussions and semi-structured interviews were used to gather relevant data. The findings show that literacy and numeracy skills are essential in commerce subjects, as students require basic literacy and numeracy skills to read, write, comprehend, calculate, and interpret. The findings also showed that parental engagement at an early stage of the child’s life helps improve the child’s literacy and numeracy skills. The results also showed that the “drop everything and read” or DEAR programme and modern technology positively affect students’ literacy and numeracy skills, which helps them do better in commerce classes.

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Section: Discussioncontrasting

confidence: 61%

Effectiveness of literacy and numeracy in commerce subjects among secondary schools in Fiji

Singh,

Chand,

Kumar

et al. 2023

EduLearn

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show abstract

“…Binary logistic regression was used to examine the brand loyalty in buying tea. Many studies [14,15,16] have utilized binary logistic regression to find the relationship between binary response with predictor variables [17]. The response variable, brand loyalty status consisted of two categories as "brand loyal" and "non-brand loyal".…”

Section: Discussionmentioning

confidence: 99%

Factors Affecting the Consumer's Branded Tea Purchase Decision: A Case Study in the Western Province, Sri Lanka

Bandara

Gayathri

Lankapura

2021

AJEBA

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Aims: The purpose of this paper is to identify the factors influencing on consumers' purchasing decisions for branded tea in Sri Lanka. This study investigated the relationship between the factors influencing a consumer's purchase decision on branded tea and the consumer's loyalty behavior. The study concentrated primarily on the socioeconomic factors that influence consumer brand loyalty for tea. Study Design: Multi-stage quota sampling. Place and Duration of Study: The study was carried out in the Western province, the most densely populated province, and the main administrative and commercial center of Sri Lanka in 2016 - 2017. Methodology: Both primary and secondary data were used in the study. Primary data were mainly collected from a survey using a pre-tested, structured questionnaire. Descriptive analytical techniques, factor analysis, and binary logistic regression analysis were used for data analysis. Statistical analysis was performed using both SPSS and SAS software. Results: According to the factor analysis, three main factors were recognized, such as product, marketing, and lifestyle. The product factor contributes 31 percent to the total variation that implies the prominence of product-oriented variables over the other variables considered. Among the related variables of the product, the highest factor loading (0,963) was received by the taste of the product, while the price (0,946) was the next. The results of the binary logistic regression revealed that both the level of education (ED) and the level of income (IL) had a significant impact on tea brand loyalty. Conclusion: The study concludes that both income and education have a significant impact on brand loyalty for tea, while product, marketing, and life-style attributes are the main factors influencing the purchase decision of the branded tea by the consumer. As product-related attributes contribute more to the purchase decision of branded tea, firms can increase their market share by planning their marketing strategies, focusing mainly on product-related aspects.

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“…Statistical analysis was performed using both SPSS and SAS software. Many studies [12,13,14] have utilized binary logistic regression to find the relationship between binary response with predictor variables [15]. The response variable, fertilizer application status, consisted of two categories as "applying fertilizer" and "not applying fertilizer" denoted by Y = 1 (applying) and Y = 0 (not applying).…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Fertilizer Usage by Medium and Large Scale Coconut Farmers in Gampaha District, Sri Lanka

Senadheera

Bandara

Lankapura

2020

AJRAF

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Aims: This study attempts to identify the factors affecting the usage of fertilizer by medium- and large-scale coconut farmers in the Gampaha District, Sri Lanka with a view to recommend pragmatic strategies to increase coconut production in Sri Lanka. Study Design: Multistage quota sampling with a proportion allocation method. Place and Duration of Study: The study was conducted during the year 2017 in the Gampaha administrative district, which is a leading coconut-producing region, under the coconut triangle of Sri Lanka. Methodology: Both primary and secondary data were utilized in the study. Descriptive analytical techniques, factor analysis, and Binary Logistic Regression techniques were used in the data analysis. Results: The factor analysis disclosed five-factor groups that cumulatively explain 55% of the total variation. Binary Logistic Regression revealed that the prevalence of favorable weather patterns, usage of supplementary materials, availability of credit facilities, and organic fertilizer application significantly affect the application of inorganic fertilizer for coconut cultivation. The availability of a fertilizer subsidy, practicing moisture conservation, practicing animal husbandry, and applying inorganic fertilizer significantly determined the application of organic fertilizer for coconut cultivation. Usage of supplementary materials, yield of the last coconut picking, and household size significantly affected the fertilizer application for coconut cultivation in general. Conclusion: Prevalence of favorable weather patterns, supplementary materials, and credit usage increase the chance of applying inorganic fertilizer for coconut. Organic fertilizer application decreases the likelihood of applying inorganic fertilizer for coconut. Availability of a fertilizer subsidy, practicing moisture conservation, practicing animal husbandry increase the chance of applying organic fertilizer for coconut, whilst the inorganic fertilizer application decreases the likelihood of applying organic fertilizer for coconut.

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Binary Logistic Regression Analysis of Instructional Leadership Factors Affecting English Language Literacy in Primary Schools

Cited by 7 publications

References 53 publications

Effectiveness of literacy and numeracy in commerce subjects among secondary schools in Fiji

Effectiveness of literacy and numeracy in commerce subjects among secondary schools in Fiji

Factors Affecting the Consumer's Branded Tea Purchase Decision: A Case Study in the Western Province, Sri Lanka

Factors Influencing Fertilizer Usage by Medium and Large Scale Coconut Farmers in Gampaha District, Sri Lanka

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