Search results

The purpose of this paper is fivefold: to identify the various results of previous empirical studies on the effect of mastery learning and students achievement in Nigeria schools; determine the effect size for each of the studies examined; determine the mean effect size of the overall studies examined; find out the mean effect size of studies that examined the effect of gender on academic achievement in mastery learning strategy; and determine the mean effect size of studies that examined the effect of school locations on academic achievements using mastery learning strategy.

This study adopted survey research design using the ex post facto procedure. This study being meta-analytical used already existing data (research results). The sample of research reports included both published and unpublished research reports on the effects of mastery learning on students’ academic achievements in Nigeria between 1980 and 2016. The study adopted a purposive sampling technique in selecting the sample. This was to ensure that studies: were centered on mastery learning and students’ academic achievements; were carried out in Nigeria; appeared in published and unpublished literature between 1980 and 2016; have the statistical values of the research results of each independent variable to be considered (e.g. t-test values, χ² values and correlation values).

The study revealed that the mean effect size for all the studies was 0.536, indicating a positive mean effect size. The strategy, thus, has a significant effect on students’ achievements. School location, also, did not mediate in the use of the strategy.

Based on the findings of this study, the following recommendations were made: teachers should use this teaching strategy to enhance students’ achievements in difficult concepts in different subject areas. Since the result of this study has shown that the strategy has positive and large effect size, government and school proprietors should, with the collaboration of higher institutions concerned with teacher education, endeavor to organize seminars and workshops to serving teachers to enable them embrace effectively the principles and processes of implementing the strategy in the classroom. Since the result of this study has established the size of the effect of mastery learning strategy on the academic achievements, subsequent researchers should no longer direct their efforts in determining its effects on academic achievements but on the ways of improving the use of the strategy in teaching at all levels of education.

Available literature has shown that though most previous research findings revealed that mastery learning approach has an effect on academic achievements of students, no efforts have been made toward resolving the inconsistencies of those results by integrating them and establishing the extent of the effect of the strategy on academic achievements. This study, therefore, was designed to fill these gaps created by the non-existence of integrated studies on effects of mastery learning and academic achievements of students in Nigerian schools.

Effect size is an important determinant of statistical power. However, very few experimental studies in international marketing (IM) report effect sizes and no meta‐analysis work in this regard has been done. The main objective of this paper, therefore, is to quantitatively document effect sizes of experiments in IM and to provide directions for further methodological improvement.

All articles published in the top three marketing journals and the top six IM‐related journals during the period 1992‐2005 were screened; this yielded 35 experiment‐based papers within the domain of IM. For each study, ten methodological characteristics relevant to IM experimental designs were coded.

The 35 studies reported 68 experiments, which produced a total of 1, 074 observations. Results reveal that, on average, for experiments in international business marketing, about 2.89 percent of the variance in a dependent variable (DV) is accounted for by experimental treatments, and a variance of 3.61 percent is shared by the independent and DV for experiments in international consumer marketing. Sampling method, type of subjects, type of design and number of countries are found to have significant influences on effect sizes.

This paper provides a quantitative, state‐of‐the‐art review of effect sizes in IM experiments, points out problems such as inappropriate reliance on an overall effect size index, and further offers useful suggestions on how to report and improve effect sizes.

Using a meta-regression analysis, we quantitatively review the empirical literature on the relation between effective tax rate (ETR) and firm size. Accounting literature offers two competing theories on this relation: The political cost theory, suggesting a positive size-ETR relation, and the political power theory, suggesting a negative size-ETR relation. Using a unique data set of 56 studies that do not show a clear tendency towards either of the two theories, we contribute to the discussion on the size-ETR relation in three ways: First, applying meta-regression analysis on a US meta-data set, we provide evidence supporting the political cost theory. Second, our analysis reveals factors that are possible sources of variation and bias in previous empirical studies; these findings can improve future empirical and analytical models. Third, we extend our analysis to a cross-country meta-data set; this extension enables us to investigate explanations for the two competing theories in more detail. We find that Hofstede’s cultural dimensions theory, a transparency index and a corruption index explain variation in the size-ETR relation. Independent of the two theories, we also find that tax planning aspects potentially affect the size-ETR relation. To our knowledge, these explanations have not yet been investigated in our research context.

Meta-analysis is one of a number of scientific approaches for accumulating knowledge in a research domain. It provides a quantitative synthesis of a literature using various statistical instruments. This chapter introduces the main points underlying meta-analytic methodology by discussing its merits when compared to a conventional literature review and covers the fundamental approaches used when conducting a meta-analysis. Criticism of meta-analysis is briefly discussed in the context of the major issues facing meta-analysis in international business.

This study aims to conduct a quantitative meta-analysis of previous research on lifelong vocational education to generate generalized conclusions about its effects, set directions for future lifelong vocational education and identify implementation measures.

To conduct a meta-analysis on research results that have a heterogeneous distribution, it is important to specify the analysis category for examining the effects of research variables.

First, lifelong vocational education has an effect on dependent variables. And action appears to have the highest effect size on dependent variables. Next, when calculating the size of variables that had an effect on lifelong vocational education by educational type, the effect size of informal education was found to be larger than that of formal education. Finally, regarding the effect on the participants, office workers were influenced most, followed by university students, North Korean defectors, job seekers and foreigners.

Although this study attempted to conduct an in-depth analysis of subcomponents, it was not possible to analyze variables at a more detailed level. Therefore, future studies should aim to conduct a more comprehensive analysis of different variables based on a wider composition. Because lifelong vocational education is relevant to people’s daily lives, it should be investigated in the context of their personal characteristics and social backgrounds.

This research was designed to uncover general effects of lifelong vocational education and discover relevant variables affecting lifelong vocational education in South Korea. A meta-analysis of 15 studies with 67 subgroups examining lifelong vocational education was conducted.

In the current era of VUCA (Volatility, Uncertainty, Complexity and Ambiguity), lifelong vocational education needs to be organized systematically, unlike in the past. With the rapid advancements in technology influenced by artificial intelligence and the fourth industrial revolution, there is a surge in social demands for continued reeducation and redevelopment of employees to prepare for talent development paradigm innovation, increasing unemployment among unskilled workers and competence enhancement needs among job seekers and employed individuals.

This study aims to conduct a quantitative meta-analysis of previous research on lifelong vocational education to draw generalized conclusions on its effectiveness and discuss its implications for implementation measures. Specifically, this study will analyze the general effect size; differences in the effect size among different dependent variable groups; and the effect size based on lifelong vocational education participants.

The purpose of this paper is to identify, through an exploratory meta-analysis, which process- and outcome-related antecedents have the strongest relationship to overall team performance. The secondary objective is to create an understanding of the extent to which relative research interest in each construct to date has aligned with its reported effects.

This study uses a random-effects meta-analysis on studies that have measured the relationship between at least one process or outcome factor and overall team performance. The number of studies, effect size and between-study variances are captured and analyzed for each process/outcome factor. Prior literature has explored relationships between various process/outcome factors and overall team performance. This study expands on previous literature by examining a comprehensive set of process/outcome factors and their relative impact on overall team performance.

A meta-analysis of 190 effect sizes extracted from 52 empirical studies over the past two decades (1999–2020) showed the specific process and outcome factors that most strongly contributed to overall team performance were efficiency, schedule and innovation. In addition, only a weak correlation was found between process and outcome factors’ relationships with overall team performance and how often they are studied in the research community.

This study contributes to the body of knowledge on team performance by examining prior research to identify the relevant impact of various process and outcome factors on overall team performance. In addition, this study also assesses the extent to which research interest in these factors has appeared to match their relative impact. Analyzing the relative impact of various process and outcome factors allows researchers and practitioners to better identify methods to create improvement in overall team performance. Based on the findings, prioritizing efficiency, schedule and innovation may promote overall team performance.

The size effect that there exist return differences between small market-cap firms and large market-cap counterparts in the stock market has become one of the most controversial capital market anomalies. This paper aims to interpret this effect, including both the size premium and the size discount.

A dynamic capital mobility model (DCMM) is proposed, and the model’s explanatory ability is validated via simulation.

This study’s simulation results indicate that the observed size effect can be originated from the combination of the pure size effect and the investors’ herding behavior. Although the size premium, that average returns of small firms are higher than those of large firms, is more prevalent in the stock market, this study’s model implies that the size discount is also possible, which is largely an empirical issue. The pure size effect per se cannot reproduce the size premium. Only if the herding effect dominates the pure size effect would there exist the size premium.

Although the literature provides miscellaneous explanations for the size effect, they are still inconclusive. So far there has been no theory to directly investigate the size effect and to explicitly explore the impact of investors’ trading behavior on the size effect. To the best of the author’s knowledge, this paper fills in this gap and proposes a DCMM to interpret the size effect for the first time. In addition, while the literature focuses on the size premium only, this study covers not only the size premium but also the size discount.

This study aims to address two research questions. First, do the agricultural extension services have an impact on the potential outcomes considered in the primary studies, and to what extent? Second, how sensitive is the reported impact to the study-specific characteristics in the primary studies?

The paper synthesizes 45 studies that assessed the causal impact of agricultural extension services published in 2004–2021, using meta-regression analysis. It considers three measures of effect sizes – Cohen’s, Hedges and principal correlation coefficient (PCC) – to standardize the reported impact of agricultural extension services in the primary studies.

The empirical results show that, on average, agricultural extension services have statistically significant and positive impacts on the potential outcomes identified in the primary studies. However, the magnitude of the impact is considered medium-sized. Other results show that the effect size estimates of agricultural extension services' impact significantly vary with the data type (cross-sectional data vs. panel data), research design (non-experimental vs. experimental design) and econometric methods employed in the primary studies.

One can argue that the medium-sized impact we estimated indicates evidence of a moderate, weak relationship between agricultural extension services and the potential outcomes considered in the primary studies. This means that agricultural extension services need to be restructured in the current form to stimulate change in the agricultural sector globally. In addition, the sensitivity of effect sizes to study attributes (i.e. data types, research design and econometric methods) shows that researchers and academicians need to pay attention to these attributes to provide more reliable estimates for policy purposes.

This is the first study that attempts to shed light on the overall performance of agricultural extension services using a meta-regression analysis approach.

The paper aims to investigate the effect of firm age and size on profitability and productivity of construction firms in India. It also attempts to understand the indirect effect of firm age and size on profitability mediated through firm's productivity.

Data of 64 construction firms, for a period of 12 years (2006–2017), were collected. In order to measure the direct and indirect effect of size and age on profitability and productivity, a structural equation model was developed. In the structural models, productivity is a latent variable measured through proxies of material productivity (MP), labor productivity (LP) and equipment productivity (EP). The profitability is measured using three financial ratios: return on asset (ROA), return on capital employed (ROCE) and return on net worth (RONW). Then the direct and indirect effect of age and size is measured on ROA, ROCE, RONW and productivity.

The findings of the study suggest that age has a direct negative effect on profitability; however, it has an indirect positive effect on profitability, which is mediated by firm's productivity. This positive indirect effect compensates the direct negative effect and leads to an overall positive effect of firm age on profitability. However, firm size shows no effect on profitability and productivity.

To the best of authors’ knowledge, the study is the first attempt to measure the indirect effect of age and size on profitability, mediated through productivity. The study also examines the interrelationship among firms’ profitability and productivity and bridges an important research gap. The study proposes an integrated theoretical framework with a clear view of the interrelationships among age, size, profitability and productivity for construction firms in India, which can be further tested and validated for generalization.

This paper aims to confirm the existence of size, book to market (BM) and momentum effects in the New Zealand (NZ) stock market. It also aims to compare the performance of the CAPM, the Fama‐French (FF) model, and Carhart's model in explaining the variation of stock returns.

The paper adapts the Fama and French methodology using a 2×3 size‐BM ratio sort. It also forms three portfolios based on past returns to verify the momentum effect.

The paper documents significant BM and momentum effects but a relatively weaker size effect. The paper finds some improvement in explanatory power provided by the FF model relative to the CAPM but it still leaves a large part of the variation in stock returns unexplained. The FF model is also unable to explain the strong momentum effect in New Zealand.

The findings imply that: cost of capital estimates would be more accurate using Carhart's model; portfolio managers can increase returns by investing in small and high BM firms that are recent winners; performance evaluation should take into account the size, BM, and momentum effects; and the existence of size and BM return premia appear to be rewards to risk bearing.

The existing literature testing the robustness of the FF model in markets outside the USA is sparse, especially in emerging markets, with most of these studies suffering from data problems. The NZ stock market provides an interesting setting for such a study because of its unique characteristics.