4/2/2023 0 Comments Meta analysisDespite the fact that there are many studies on higher education instruction abroad, only a small number of blending learning studies have been done in Malaysia higher education. Moderation concerning the timeline of the studies points out that more recent studies have lower hedonic motivation, social influence, and performance expectation effects on smart home acceptance.īlended learning is an innovative strategy for providing engaging and meaningful learning experiences to satisfy student's technology expectations in the highly dynamic digital environment. The moderation by gender results indicates that gender has a significant effect on smart home adoption. The results showed 'attitude' and 'performance expectation' constructs as the most decisive for accepting the smart home technologies. In addition to the main relations proposed in UTAUT2, the model proposed also moderates the effects of gender and timeline variables. This study starts from the relations proposed in the UTAUT2 model for acceptance of new technologies and estimates these relations based on an international set of 24 studies. This article aims to identify key trends regarding the effect of various factors on smart home technologies acceptance. Despite this, several studies still present varying estimates of the variables that affect users' acceptance of these technologies. 98).New, increasingly affordable smart technologies can be used to bring homes to the smart paradigm. Grant & Booth (2009) state that "most importantly, it requires that the same measure or outcome be measured in the same way at the same time intervals" (p. the population, intervention, and comparison. 98).Ĭonducting a meta-analysis requires all studies that will be statistically summarized to be similar - i.e. Grant & Booth (2009) state that "although many systematic reviews present their results without statistically combining data, a good systematic review is essential to a meta-analysis of the literature" (p. A meta-analysis cannot exist without a pre-existing systematic review. (2019).Ī meta-analysis can only be conducted after the completion of a systematic review, as the meta-analysis statistically summarizes the findings from the studies synthesized in a particular systematic review. The following characteristics, strengths, and challenges of conducting meta-analyses in systematic reviews are derived from Grant & Booth (2009), Haidlich (2010) and Deeks et al. To settle controversies arising from apparently conflicting studies or to generate new hypotheses.Statistical synthesis of findings allows the degree of conflict to be formally assessed, and reasons for different results to be explored and quantified. It may also, if relevant, allow reasons for differences in effect estimates to be investigated. A selection of studies in which these characteristics differ can allow investigation of the consistency of effect across a wider range of populations and interventions. Primary studies often involve a specific type of participant and explicitly defined interventions. To answer questions not posed by the individual studies. Estimation is usually improved when it is based on more information. Many studies are too small to provide convincing evidence about intervention effects in isolation. Such a meta-analysis yields an overall statistic (together with its confidence interval) that summarizes the effectiveness of an experimental intervention compared with a comparator intervention" (section 10.2).Ĭonducting meta-analyses can have the following benefits, according to Deeks et al. When to Use It: According to the Cochrane Handbook, "an important step in a systematic review is the thoughtful consideration of whether it is appropriate to combine the numerical results of all, or perhaps some, of the studies.
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