Evidence-Based Management_Certified Course
Strengthen your EBM skills and critical mindset to improve the quality of your decisions.
Description
The basic premise behind evidence-based management (EBM) is that good decisions require both critical thinking and use of “best available evidence.” This “evidence” may come from scientific research, but good internal business information and mindful professional experience also constitute “evidence.” All practitioners use evidence in their decisions, but most pay little attention to the quality of the evidence and base their decisions on too few sources of evidence. The result is business decisions based on fads, so-called “cutting edge” solutions, and the pop concepts promoted by consulting firms and management gurus. The bottom line is bad decisions, poor outcomes, and no understanding of why things go wrong. EBM evolved in response to this problem with its goal of improving the quality of decision making by using critically evaluated evidence from multiple sources – organizational data, professional expertise, stakeholder values, and the scientific literature.
Although EBM sounds straightforward, gathering, understanding and applying evidence requires a particular set of skills and practical knowledge. These certified course modules will develop your evidence-based skills and enhance your understanding of how an evidence-based approach can support your organization’s decision-making.
CEBMa members
The first way to get access is by signing up as a member of The Center for Evidence Based Management (CEBMa). Associate members get access to four modules: module 1 to 4. Professional members get access to six modules: module 1 to 4 and module 6 & 7. After successfully completing the modules you will receive a CEBMa certificate of completion. You can find more information about becoming a CEBMa member here. (link: https://www.cebma.org/membership/)
CMU’s Heinz College
Another way to get access is through the executive education programs of Carnegie Mellon University’s Heinz College. After successfully completing additional modules you will receive a CMU certificate of completion. If you successfully complete all course modules, you will receive an official micro credential from Carnegie Mellon University. If you are interested in this option, please contact CEBMa for more information. (link: https://www.cebma.org/contact/)
Australian National University
The third way to get access is through the Australian National University’s Research School of Management. After successfully completing additional modules you will receive an ANU certificate of completion. If you successfully complete all course modules, you will receive an official micro credential from the Australian National University. If you are interested in this option, please contact CEBMa for more information.
The modules are developed by CEBMa and are part of a larger certified master course. If you are a teacher/lecturer and would like to use these (or additional) modules in your class, please contact CEBMa.
What students will learn
Module 1: The Basic Principles
Summarize the basic principles of evidence-based management
Explain why we need evidence-based management
Explain what counts as evidence
Determine which sources of evidence were consulted
Assess (coarsely and in general terms) the quality of evidence
Determine whether the ‘best available’ evidence was used in a decision-making process
Correct common misconceptions about evidence-based management.
Module 2: ASK
Identify (hidden) claims/assumptions regarding a practical issue
Determine whether an (assumed) problem is sufficiently clear
Determining whether there is sufficient evidence to support the (assumed) problem
Determine whether the preferred solution is sufficiently clear
Determine whether there is sufficient evidence (from multiple sources) to support the preferred solution.
Module 3: ACQUIRE – evidence from practitioners
Determine what evidence to acquire from practitioners
Determine how to prevent selection bias when acquiring evidence from practitioners
Determine the best method(s) to acquire evidence from practitioners
Determine whether bias could have affected evidence from practitioners
Formulate clear, unambiguous, and unbiased questions.
Module 4: APPRAISE – evidence from practitioners
Assess whether professional experience is valid and reliable
Grade the trustworthiness of professional experience
Recognize how system 1 thinking influences valid and reliable professional expertise
Determine whether a decision is based on system 1 or system 2 thinking
Recognize common cognitive biases
Identify ways cognitive biases can be overcome
Critically appraise evidence from practitioners.
Module 5: ACQUIRE – scientific evidence
Determine the most relevant online research database(s) given the question
Determine whether a journal is peer reviewed
Determine the most important PICOC terms
Search the Internet for relevant alternative and/or related terms
Search Google Scholar for related or broader academic terms
Test search terms to identify terms that yield the most relevant results
Apply Boolean operators to specify a search query
Use the history function to combine search queries
Apply methodological filters to identify meta-analyses and/or longitudinal/controlled studies
Narrowing search results by adding additional PICOC terms
Limit a search result by limiting the date range.
Module 6: A short introduction to science
Assess whether a study was conducted according to the scientific method
Recognize pseudo-science
Assess whether a statistically significant finding is of practical relevance
Assess whether methodological bias may have affected the results
Determine whether confounders may have affected the results
Assess whether a placebo effect may have affected the results
Identify moderators or mediators that may have affected the results
Distinguish quantitative research methods from qualitative research methods
Determine a study’s research design
Efficiently read a research paper.
Module 7: APPRAISE – scientific evidence
Assess the impact of an effect size
Assess whether a statistically significant finding is of practical relevance
Assess whether a confidence interval is sufficiently narrow
Assess whether an outcome was measured in a reliable way
Distinguish cause-and-effect questions from non-effect questions
Determine a study’s research design
Assessing whether a study’s research design is appropriate given the research question (methodological appropriateness)
Assessing a study’s methodological quality
Grading a study’s trustworthiness on the basis of it’s methodological appropriateness and quality
Summarizing a study’s main findings, weaknesses, and overall trustworthiness.
Module 8: ACQUIRE – organizational evidence
Module coming soon.
Module 9: APPRAISE – organizational evidence
Determine whether a logic model was used to collect and analyze evidence from the organization
Assess whether organizational data are relevant
Identify steps in the collection and processing of data that could introduce risk of inaccurate data
Determine whether contextual information is missing
Determine whether there could be measurement error
Assess whether there could be a small number problem
Determine whether a metric is a good representation of the data
Interpret a metric’s standard deviation
Assess whether a graph represents the data in a valid and reliable way
Interpret a correlation or regression coefficient
Determine whether a correlation- or regression coefficient is practically relevant
Assess whether there are outliers that may distort the evidence
Assessing whether range restriction may have affected the evidence
Assess whether a confidence interval is sufficiently narrow.
Module 10 & 11: ACQUIRE/ APPRAISE – stakeholder evidence
Module coming soon.
Module 12: AGGREGATE
Explaining what proof, evidence, chance, and ‘conditional’ probability means
Assessing the impact of a prior probability
Estimating the likelihood of the evidence: P(E|Htrue) and P(E|Hfalse)
Updating the probability of a claim/assumption/hypothesis when new evidence comes available
Aggregating evidence from multiple sources by applying Bayes Rule.
Module 13: APPLY
Use the PICOC method to determine whether the evidence applies to the organizational context
Determine whether a decision/intervention gives you the biggest bang for your buck
Assess the level of risk inherent in a decision/intervention
Identify ethical issues that need to be considered
Determine whether (and if so, how) the evidence is actionable
Determine whether there are moderators that need to be taken into account
Determine, given the type of decision at hand, how and in what form the evidence can be applied.
Module 14: ASSESS
Identify the type of decision (to be) made (routine, non-routine, or novel/hyper complex)
Determine whether a decision was executed as planned
Assess an outcome using the gold standard method
Assessing an outcome using quasi- or non-experimental methods
Suggest ways to improve the validity and reliability of an outcome assessment
Assess whether an outcome was measured in a reliable way
Assess whether indirect and intangible costs were taken into account
Assess the (unintended) consequences of a decision on stakeholders.