Control Variables in Leadership Research: A Qualitative and Quantitative Review

2017 ◽  
Vol 44 (1) ◽  
pp. 131-160 ◽  
Author(s):  
Jeremy B. Bernerth ◽  
Michael S. Cole ◽  
Erik C. Taylor ◽  
H. Jack Walker
Keyword(s):  
Degrees Of Freedom ◽  
Meta Analysis ◽  
Control Variable ◽  
Parameter Estimates ◽  
Statistical Control ◽  
Leadership Studies ◽  
Control Variables ◽  
Quantitative Review ◽  
Current State ◽  
Leadership Research

Statistical control of extraneous (i.e., third) variables is a common analytic tool among leadership researchers. While such a strategy is typically assumed to prove beneficial, it can actually introduce various complications that are underestimated or even ignored. This study investigates and summarizes the current state of control variable usage in leadership research by qualitatively and quantitatively examining the use of statistical control variables in 10 highly regarded management and applied psychology journals. Despite available “best practices,” our results indicate that control variable usage in existing leadership studies is rarely grounded in theory but instead frequently relies on outdated misconceptions. Moreover, a meta-analysis of the relationships between popular control variables and leadership constructs finds nearly universal weak effect sizes, suggesting that many studies may not only be losing valuable degrees of freedom but also making inferences based on biased parameter estimates. To address these issues, we put forth a number of recommendations to assist leadership scholars with determining whether potential third variables should be controlled for in their leadership research.

Control variables in leadership research: A qualitative and quantitative review

2017 ◽  
Vol 2017 (1) ◽  
pp. 10247
Author(s):  
Jeremy Bernerth ◽  
Michael S. Cole ◽  
Erik Taylor ◽  
Harvell Jackson Walker
Keyword(s):  
Control Variables ◽  
Quantitative Review ◽  
Qualitative And Quantitative ◽  
Leadership Research

Pengaruh Konvergensi International Financial Reporting Standards (Ifrs) Terhadap Penghindaran Pajak(Tax Avoidance)

2018 ◽  
Vol 26 (2) ◽  
pp. 158-169
Author(s):  
Umi Wahidah ◽  
Sri Ayem
Keyword(s):  
Financial Reporting ◽  
Tax Evasion ◽  
Stock Exchange ◽  
Control Variable ◽  
Tax Avoidance ◽  
Sampling Technique ◽  
International Financial Reporting Standards ◽  
Reporting Standards ◽  
Control Variables ◽  
Financial Reporting Standards

This research aimed to examine the effect of the convergence of International Financial Reporting Standards (IFRS) on tax avoidance on companies listed in Indonesia Stock Exchange. Tax avoidance that used in this research was Cash Efective Tax Rate (CETR). This research is also use the control variable to get other different influence that different such as CSR, size, and earning management (EM. This research used populations sector of transport service companies that listed in Indonesia Stock Exchange. The data of this research taken from secondary data that was from the Indonesia Stock Exchange in the form of Indonesian Capital Market Directory (ICMD) and the annual report of the company 2011-2015. The method of collecting sample was purposive sampling technique, the population that to be sampling in this research was populations that has the criteria of a particular sample. Companies that has the criteria of the research sample as many as 78 companies. The method of analysis used in this research is multiple regression analysis. Based on regression testing shows that the convergence of International Financial Reporting Standards (IFRS) has a positiveand significant impact on tax evasion. This shows that IFRS convergence actually improves tax evasion practices. The control variables of firm size and earnings management also significantly influence the application of IFRS in improving tax avoidance practices, while CSR control variables have no role in convergence IFRS in improving tax evasion practice.

scholarly journals Where have all the followers gone?

Leadership ◽  
2020 ◽  
pp. 174271502098322
Author(s):  
Steve Kempster ◽  
Doris Schedlitzki ◽  
Gareth Edwards
Keyword(s):  
Social Media ◽  
Leadership Development ◽  
Social Constructions ◽  
Leadership Studies ◽  
Short Article ◽  
Mba Students ◽  
Executive Mba ◽  
Leadership Research ◽  
Do So

In this short article, we explore and problematise the axiomatic assumption of follower in the field of leadership studies notably the leader–follower axiom as the essential foundation of much leadership theorising. We do so, firstly by drawing on our experiences of exploring followership conceptually, and secondly, by reviewing conversations with executive MBA students. From these sources, we argue that the absence of identifications with followership offers a challenge to leadership assumptions around the socio-materiality of followers and their relations with leaders within organisational contexts. This leads us to questions like: what if follower identifications do not typically exist or are rejected in everyday organisational working contexts – despite discursive labelling of individuals as followers or following practices? Would or should leadership research and its examination of leader–follower dynamics fundamentally change and in what ways? We explore these questions and suggest very different orientations that might appear with regards to notions of the leadership relationship, leading and following dynamics, practice-based attention to leadership and perhaps very different approaches to leadership development. Such a (re)appraisal of the leadership lexicon may move notions of follower identification out of social constructions of organisational leadership and towards social media (Facebook, Twitter and Instagram) – where the phenomenon of being a follower is ever present, but is redefined as a phenomenon of vicarious fantasy associated with interest, curiosity and entertainment.

A preliminary systematic review and meta-analysis on the effects of heart rate variability biofeedback on heart rate variability and respiration of athletes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jeffrey Cayaban Pagaduan ◽  
Yung-Sheng Chen ◽  
James William Fell ◽  
Sam Shi Xuan Wu
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Web Of Science ◽  
Meta Analysis ◽  
Academic Research ◽  
Experimental Studies ◽  
Quantitative Review ◽  
Heart Rate Variability Biofeedback ◽  
Randomized Control

Abstract To date, there is no quantitative review examining the influence of heart rate variability biofeedback (HRV BFB) on the athlete population. Such an undertaking may provide valuable information on the autonomic and respiration responses of athletes when performing HRV BFB. Thus, purpose of this preliminary systematic review and meta-analysis on the effects of HRV BFB on HRV and respiration of athletes. Searches of Springerlink, SportDiscus, Web of Science, PROQUEST Academic Research Library, Google Scholar, and ScienceDirect were conducted for studies that met the following criteria: (1) experimental studies involving athletes that underwent randomized control trial; (2) availability of HRV BFB as a treatment compared with a control (CON)/placebo (PLA); (3) any pre and post HRV variable and/or breathing frequency as dependent variable/s; and, (4) peer-reviewed articles written in English. Four out of 660 studies involving 115 athletes (25 females and 90 males) ages 16–30 years old were assessed in this review. Preliminary findings suggest the promising ability of HRV BFB to improve respiratory mechanics in athlete population. More work is needed to determine the autonomic modulatory effect of HRV BFB in athletes.

scholarly journals Does Neonatal Imitation Exist? Insights From a Meta-Analysis of 336 Effect Sizes

2021 ◽  
pp. 174569162095983
Author(s):  
Jacqueline Davis ◽  
Jonathan Redshaw ◽  
Thomas Suddendorf ◽  
Mark Nielsen ◽  
Siobhan Kennedy-Costantini ◽  
...  
Keyword(s):  
Social Behavior ◽  
Positive Result ◽  
Human Development ◽  
Degrees Of Freedom ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Significant Evidence ◽  
The Past ◽  
Substantial Heterogeneity

Neonatal imitation is a cornerstone in many theoretical accounts of human development and social behavior, yet its existence has been debated for the past 40 years. To examine possible explanations for the inconsistent findings in this body of research, we conducted a multilevel meta-analysis synthesizing 336 effect sizes from 33 independent samples of human newborns, reported in 26 articles. The meta-analysis found significant evidence for neonatal imitation ( d = 0.68, 95% CI = [0.39, 0.96], p < .001) but substantial heterogeneity between study estimates. This heterogeneity was not explained by any of 13 methodological moderators identified by previous reviews, but it was associated with researcher affiliation, test of moderators ( QM) (15) = 57.09, p < .001. There are at least two possible explanations for these results: (a) Neonatal imitation exists and its detection varies as a function of uncaptured methodological factors common to a limited set of studies, and (2) neonatal imitation does not exist and the overall positive result is an artifact of high researcher degrees of freedom.

scholarly journals Complementary Meta-Analytic Methods for the Quantitative Review of Research: 2. An Extended Illustration

2013 ◽  
Vol 4 (2) ◽  
pp. 46 ◽  
Author(s):  
Aurelio José Figueredo ◽  
Candace Jasmine Black ◽  
Anne Grete Scott
Keyword(s):  
Higher Education ◽  
Meta Analysis ◽  
Analytic Method ◽  
Quantitative Review ◽  
Analytic Methods ◽  
Retention In Higher Education

In Figueredo, Black, and Scott (this issue), we presented the rationale for a complementary meta-analytic method to accompany traditional effects meta-analytic procedures.  Here, we provide an example using Contents Meta-Analysis so that readers can become familiar with the application of the method and the implications of its use.  This illustration will be presented in two major sections.  First, we will describe an empirical example of a meta-analysis on retention in higher education where a Contents Meta-Analysis was conducted.  Then we will show how the information gained in the Contents Meta-Analysis may be applied to address issues of generalizability. DOI:10.2458/azu_jmmss_v4i2_figueredo

scholarly journals Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e039652 ◽  
Author(s):  
Conor McAloon ◽  
Áine Collins ◽  
Kevin Hunt ◽  
Ann Barber ◽  
Andrew W Byrne ◽  
...  
Keyword(s):  
Systematic Review ◽  
Incubation Period ◽  
Lognormal Distribution ◽  
Meta Analysis ◽  
Observational Research ◽  
Cochrane Library ◽  
Parameter Estimates ◽  
Sufficient Information ◽  
International Studies ◽  
Shiny App

ObjectivesThe aim of this study was to conduct a rapid systematic review and meta-analysis of estimates of the incubation period of COVID-19.DesignRapid systematic review and meta-analysis of observational research.SettingInternational studies on incubation period of COVID-19.ParticipantsSearches were carried out in PubMed, Google Scholar, Embase, Cochrane Library as well as the preprint servers MedRxiv and BioRxiv. Studies were selected for meta-analysis if they reported either the parameters and CIs of the distributions fit to the data, or sufficient information to facilitate calculation of those values. After initial eligibility screening, 24 studies were selected for initial review, nine of these were shortlisted for meta-analysis. Final estimates are from meta-analysis of eight studies.Primary outcome measuresParameters of a lognormal distribution of incubation periods.ResultsThe incubation period distribution may be modelled with a lognormal distribution with pooled mu and sigma parameters (95% CIs) of 1.63 (95% CI 1.51 to 1.75) and 0.50 (95% CI 0.46 to 0.55), respectively. The corresponding mean (95% CIs) was 5.8 (95% CI 5.0 to 6.7) days. It should be noted that uncertainty increases towards the tail of the distribution: the pooled parameter estimates (95% CIs) resulted in a median incubation period of 5.1 (95% CI 4.5 to 5.8) days, whereas the 95th percentile was 11.7 (95% CI 9.7 to 14.2) days.ConclusionsThe choice of which parameter values are adopted will depend on how the information is used, the associated risks and the perceived consequences of decisions to be taken. These recommendations will need to be revisited once further relevant information becomes available. Accordingly, we present an R Shiny app that facilitates updating these estimates as new data become available.

A quantitative review of the effects of biochar application to soils on crop productivity using meta-analysis

2011 ◽  
Vol 144 (1) ◽  
pp. 175-187 ◽  
Author(s):  
S. Jeffery ◽  
F.G.A. Verheijen ◽  
M. van der Velde ◽  
A.C. Bastos
Keyword(s):  
Meta Analysis ◽  
Crop Productivity ◽  
Quantitative Review

Becoming morally disengaged: how long does it take?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Teresa Almeida ◽  
Francisca Abreu ◽  
Nelson C. Ramalho
Keyword(s):  
Ethical Leadership ◽  
Moral Disengagement ◽  
Ethical Climate ◽  
Empirical Test ◽  
Research Trend ◽  
Leadership Studies ◽  
Moderator Variable ◽  
Content Type ◽  
Leadership Research

PurposeLeadership is a time-dependent process and a recent leadership research trend posits a central role of time-based variables. The dyadic tenure plays a keystone role in understanding leader–follower dynamics, especially as regards leader ethics. In line with this, from a social learning theory perspective, the authors propose a model that explains how and when ethical leaders' behaviors influence subordinates' moral disengagement.Design/methodology/approachWith a sample of 220 employees, the present study tests the conditional indirect effect of ethical leadership on followers' moral disengagement via instrumental ethical climate (IEC), using dyadic tenure as the moderator variable. The analyses were conducted with Hayes PROCESS macro.FindingsResults suggested that IEC fully mediates the relationship between ethical leadership and moral disengagement. Thus, when followers perceive low levels of ethical leadership, they notice higher levels of IEC, which is positively related to moral disengagement. However, IEC perception only influences moral disengagement when dyadic tenure approaches the third year.Originality/valueThis paper answers calls to include time-based variables in leadership studies. Hence, using dyadic tenure, this study gives support to previous propositions that were still awaiting empirical test.

scholarly journals A Confidence Region for Zero-Gradient Solutions for Robust Parameter Design Experiments

2011 ◽  
Vol 2011 ◽  
pp. 1-11
Author(s):  
Aili Cheng ◽  
John Peterson ◽  
Pallavi Chitturi
Keyword(s):  
Confidence Region ◽  
Control Variable ◽  
Critical Values ◽  
Parameter Design ◽  
Feasible Region ◽  
Robust Parameter Design ◽  
Control Variables ◽  
Controllable Factors ◽  
Key Issues ◽  
Robust Parameter

One of the key issues in robust parameter design is to configure the controllable factors to minimize the variance due to noise variables. However, it can sometimes happen that the number of control variables is greater than the number of noise variables. When this occurs, two important situations arise. One is that the variance due to noise variables can be brought down to zero The second is that multiple optimal control variable settings become available to the experimenter. A simultaneous confidence region for such a locus of points not only provides a region of uncertainty about such a solution, but also provides a statistical test of whether or not such points lie within the region of experimentation or a feasible region of operation. However, this situation requires a confidence region for the multiple-solution factor levels that provides proper simultaneous coverage. This requirement has not been previously recognized in the literature. In the case where the number of control variables is greater than the number of noise variables, we show how to construct critical values needed to maintain the simultaneous coverage rate. Two examples are provided as a demonstration of the practical need to adjust the critical values for simultaneous coverage.

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