The debate about using effect size calculations for single case research design (SCRD) studies has been ongoing since they were first developed approximately 35 years ago. There have been advancements in methods for calculating them since the percentage of non-overlapping data (PND) was published. Further, mostjournals that publish SCRD studies require any systematic review to include effect sizes,hence becoming a meta-analysis. Although meta-analyses using effect size calculations are common in any systematic review of group design studies, the question remains for individual SCRD studies and systematic reviews whether they are useful and, if so, what information do they add to the analysis of a study or group of studies that visual inspection does not already provide. The purpose of this article is to present some background on the development and evolution of effect size calculations for SCRD studies by considering how they relate to an intervention being considered evidence-based, quality of studies, and argue that they do not add any robust analysis to individual studies nor systematic reviews of this type of research.

The study aims to determine the effect of Non-Physical Work Environment Factors, Giving Incentives, Technology Innovation and Job Satisfaction on company performance in order to create employee commitment. The study population was employees of Bank BNI Banjarmasin Branch and Bank BNI Syariah Banjarmasin and BNI Sekutitas Banjarmasin. as many as 268 people, a sample of 97 respondents. The method used is purposive sampling by determining the subjects to be given a list of questions with the criteria of respondents in the study. Data collection techniques by surveying and distributing questionnaires as the main data collection tool and equipped with observation, interviews and documentation so that the data obtained is truly accurate. Classic assumption test in the form of multiculonearity analysis, heteroscedasticity analysis, autocoleration analysis, normality assumption, analysis design & hypothesis testing and multiple regression analysis. Verification analysis of the level of validity and reliability of the questionnaire and classical assumption test analysis was carried out testing using Spss Version 20 analysis for Windows. The test results prove the existence of a strong relationship between the provision of incentives and job satisfaction has a significant effect on company performance, while the factors of non-physical work environment and technological innovation have no significant effect on company performance