MGMT 8405M Week 4 Counter-Evidence Brief Example

Course	MGMT 8405M Challenging Conventional Leadership and Influence
Week	Week 4
Paper type	Counter-evidence brief
Length	About 660 words, 5 pages
Format	APA 7 student paper
School	Walden University
Program	PhD in Management
Updated	October 2026

Free sample paper for MGMT 8405M Week 4

Five Findings Against the Size of the CEO Effect: A Counter-Evidence Brief Giving Each Study's Design, Sample and Reach, Ordered by Design Strength, With What the Hospitalization Evidence Still Leaves Standing

Student Name

Walden University

MGMT 8405M: Challenging Conventional Leadership and Influence

Instructor Name

Month Day, Year

What this page is doingThe title states the target precisely, the size of the effect rather than its existence, and promises the honest weighing that closes the brief.

Target

Target claim: who leads a firm explains a large and growing share of variation in firm performance (Quigley & Hambrick, 2015).

What this page is doingThe target fits in one line with its source, so every entry below can be judged against it.

Entry 1: Chance Inflates the Measured Effect

Design and sample: a methods study using simulation and reanalysis of the variance decomposition approach used in CEO-effect research (Fitza, 2014). Finding: random fluctuation in performance, spread across CEO tenures, is attributed to the CEO by the standard method, producing a sizable CEO effect even where executives have no influence; corrected estimates are much smaller. Reach: strong against the size of decomposition-based estimates, including any trend in them; silent on designs that do not rely on variance shares.

What this page is doingEach entry follows the same four fields, design, sample, finding and reach, so entries can be compared at a glance.

Entry 2: Causal Claims Without Causal Designs

Design and sample: a review of published leadership studies against a checklist of threats to causal inference (Antonakis et al., 2010). Finding: most studies left major threats, such as omitted variables and reverse causation, unaddressed, so many reported effects of leaders cannot be read as causal. Reach: broad but indirect; it concerns leadership research in general rather than CEO effects specifically, and it weakens confidence in correlational evidence of all kinds.

Entry 3: Leadership Changes Explain Little

Design and sample: archival data on sales, earnings and profit margins for 167 large U.S. corporations over twenty years, with leadership measured by succession events (Lieberson & O'Connor, 1972). Finding: changes of top leader explained much less of the variation in sales and earnings than the year, the industry and the company itself; for profit margins, once lags were allowed, leadership's share grew. Reach: moderate; the succession measure blends good and bad successors, which can mask real effects, so the study limits the size of the effect more convincingly than it denies it.

Entry 4: The Effect Depends on the Setting

Design and sample: variance components analysis of matched 15-year samples of 100 U.S., 100 German and 100 Japanese firms (Crossland & Hambrick, 2007). Finding: the CEO effect was substantially larger in U.S. firms than in German and Japanese firms. Reach: this is a supporter's study, and it confirms CEO effects; it enters the brief because it shows the effect is not a general property of chief executives but depends on national institutions, which limits how far any single estimate can travel.

Entry 5: Belief Outruns Evidence

Design and sample: archival counts of attention to leadership in business publications and dissertations across economic conditions, plus experiments in which participants explained organizational outcomes (Meindl et al., 1985). Finding: attention to leadership rose when performance was extreme, and participants attributed extreme outcomes more to leaders. Reach: weakest on the target, because it shows how beliefs about leaders form, not whether leaders affect performance; it is included because it explains why large estimates are readily accepted.

The Methods Problem the Entries Share

Entries 1, 2 and 3 share one concern: designs that infer a leader's effect from the pattern of outcomes around a tenure cannot easily separate the leader from everything else that changes during it. Entry 4 shares the design but turns it toward conditions, and Entry 5 explains the audience for the claim.

The Other Side, Weighed Honestly

The strongest supporting study, by Bennedsen et al. (2020), uses CEO hospitalizations, events unlikely to be caused by performance, and finds that profitability and investment fall when the CEO is absent but not when other senior executives are. None of the entries above defeats that finding. It leaves standing the claim that CEOs have a real causal effect on performance. What the counter-evidence still challenges is the size of the effect as variance shares report it and the claim that it has grown, since the hospitalization design does not estimate either.

What This Means for the Term's Critique

The critique paper will therefore contest magnitude and trend, not existence.

References

Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: A review and recommendations. Leadership Quarterly, 21(6), 1086-1120. https://doi.org/10.1016/j.leaqua.2010.10.010

Bennedsen, M., Pérez-González, F., & Wolfenzon, D. (2020). Do CEOs matter? Evidence from hospitalization events. Journal of Finance, 75(4), 1877-1911. https://doi.org/10.1111/jofi.12897

Crossland, C., & Hambrick, D. C. (2007). How national systems differ in their constraints on corporate executives: A study of CEO effects in three countries. Strategic Management Journal, 28(8), 767-789. https://doi.org/10.1002/smj.610

Fitza, M. A. (2014). The use of variance decomposition in the investigation of CEO effects: How large must the CEO effect be to rule out chance? Strategic Management Journal, 35(12), 1839-1852. https://doi.org/10.1002/smj.2192

Lieberson, S., & O'Connor, J. F. (1972). Leadership and organizational performance: A study of large corporations. American Sociological Review, 37(2), 117-130. https://doi.org/10.2307/2094020

Meindl, J. R., Ehrlich, S. B., & Dukerich, J. M. (1985). The romance of leadership. Administrative Science Quarterly, 30(1), 78-102. https://doi.org/10.2307/2392813

Quigley, T. J., & Hambrick, D. C. (2015). Has the "CEO effect" increased in recent decades? A new explanation for the great rise in America's attention to corporate leaders. Strategic Management Journal, 36(6), 821-830. https://doi.org/10.1002/smj.2258

The Walden MGMT 8405M Week 4 instructions

Week 4 asks for a brief of four to six findings that challenge the leadership claim you are contesting. This is a disciplined document, not an essay. State the target claim and its source in one line, then present each finding as an entry with its citation, design and sample, result and how far it reaches. Order the entries by strength of design. Instructors want you to note weaknesses in your own counter-evidence and any methods problem the studies share. Close with an honest weighing that names the strongest study on the other side and says what it still supports. Keep it short, two to four pages, with entries a reader can compare at a glance.

Inside the MGMT 8405M Week 4 example

A one-line target statement opens the sample. Five entries follow, each with the same fields. The chance argument comes first because it most directly attacks decomposition estimates. The causal-inference review comes second as broad but indirect. The succession study is third, with a note that its measure blends good and poor successors. The cross-national study, a supporter's own work, enters because it shows the effect depends on institutions. The romance of leadership comes last as the weakest against the target, since it concerns belief rather than effect. A short section names the methods problem three entries share. The weighing section concedes what the hospitalization study establishes and narrows the term's critique to magnitude and trend.

MGMT 8405M Week 4 rubric: what earns full marks

The brief is judged on discipline and honesty. A pile of citations that happen to disagree, without designs or limits, scores low. Instructors check that each entry reports design and sample accurately and that the reach statement does not overclaim. Ordering by design strength shows judgment. Including a study that partly supports the target, and saying why it belongs, earns credit for fairness. The weighing section is where many briefs lose marks by ignoring the best opposing evidence; naming it and conceding what it shows is rewarded. The narrowed conclusion should follow from the entries. Consistent formatting and complete APA references finish the MGMT 8405M Week 4 marks. Briefs that stay within four pages tend to read more clearly.

MGMT 8405M Week 4 help: mistakes that cost marks

A common error is choosing counter-evidence that only sounds negative. Read each study's design before you include it and ask whether it really bears on your target or on something nearby. Write the four fields for every entry, even when one is short. Be candid about each entry's weakness, since your instructor will spot it anyway. Look for a problem several studies share. Then find the strongest study for the other side and say what it still supports; this usually sharpens your critique rather than weakening it. Keep the brief tight. A tutor can help you rank designs by strength, and the brief above shows five complete entries. Reread your target line after drafting the entries.

Get a MGMT 8405M Week 4 example written to your instructions

A counter-evidence brief needs three inputs: the Week 4 prompt, the rubric, and the claim your earlier weeks named. It comes back in 24 to 48 hours, first one free. Every entry points to a locatable study, and where the published record against your target is thin, the brief reports that rather than padding its list.

More MGMT 8405M papers and PhD in Management samples

MGMT 8405M Week 4 questions, answered

Where can I find a free MGMT 8405M Week 4 sample paper?

This page carries the complete counter-evidence brief on the CEO effect as the Week 4 sample.

What goes in each entry of the MGMT 8405M counter-evidence brief?

The study's design and sample, its finding in plain terms and a judgment of how far that finding reaches.

Why does the Week 4 brief include a study that supports CEO effects?

The cross-national study shows the effect depends on institutions, which limits how far any single estimate applies.

What does the strongest opposing study still support?

That CEOs have a real causal effect on profitability and investment, though it does not estimate a variance share or a trend.

How should the entries be ordered?

By strength of design, so the reader meets the most direct evidence against the target first.