Two sections. 600 words+700 words.COMM1110 Evidence-Based Problem Solving

Week 10: Evaluation and communication

Lecturer: Kevin Liu

General housekeeping:

• Please switch your microphone to mute to avoid disruption to the class

• Use the chat channel to ask questions or make a comment, or raise your ‘virtual’ hand

• If you have poor internet, turn off your video

• Wait for your lecturer to start

1 2 3 4 5 6 7 8 9 10

LE
C

TU
R

ES
T

U
T

O
R

IA
LS

10
Problem

articulation
and

disaggregation

Frameworks
for ethical
decision-
making

Understanding
problems –

fact Gathering

Patterns,
biases,

hypothesising
effects

Flexibility
Week

Analysing the
issues –

Identifying
the causes

Analysing the
issues – With

limited
evidence

Problem
solving &
making

decisions

Evaluation and
communicate

Week 1
Toolkit

application

Week 2
Toolkit

application

Week 3
Toolkit

application

Week 4
Toolkit

application

Week 5
Toolkit

application

Week 7
Toolkit

application

Week 8
Toolkit

application

Week 9
Toolkit

application

11

Problems &
evidence-

based
problem
solving

11

A
SS

ES
SM

EN
TS

COMM1110 EVIDENCE-BASED PROBLEM SOLVING

Assessments

Week 10
Toolkit

application

Briefing
Pack:
25%

Associate
level:
10%

Expert
level:
10%

Business
Report:

40%

Please see COMM1110 Assessment
Guide for details including exact
deadlines

Excel Training Program:
10% + 10%

Case:
25% + 40%

Online Discussion
Questions: 15%

This week:

Bullet Proof
Problem Solving

Framework

Problem
Solving
Tools

Case studies
and examples

• Evaluating Evidence

• Boundaries of Problem-

solving

• Synthesis and

Communication

• Furniture store

This week will focus on:

Problem-solving step

1. Scoping (define the problem,

disaggregate)

2. Analyse (prioritize, workplan,

analyse)

3. Decision (synthesize,

communicate)

This week’s to-do list:

• Attend: Synchronous (live) lecture online. You can access the
zoom link underneath the Lecture and Tutorial Links Moodle
section.

• Watch: Recording of lecture, if you missed the lecture or need to do
revision.

• Attend: Synchronous (live) tutorial. You can access the zoom link
underneath the Lecture and Tutorial Links Moodle section.

• Provide feedback: Tell us how Week 10 went for you.

• Assessments: continue completing the Case Report (Assessment
2b)

• Reliability and validity

Evaluating Evidence

Reliability and validity

Reliability – Consistency Validity – Accuracy

Reliability ≠ Validity (i.e. getting consistent results doesn’t
mean that your results are correct!)

Reliability

Reliability refers to how consistently a method measures
something, there are 3 types of consistency:

Type of reliability Measures the consistency of… Examples

Test-Retest Over time

A measure of stability

Multiple blood tests for

diabetes show same results

Internal Consistency Across items

A measure of how consistently

each item measures the sameAssessment 2a Feedback
Overall areas done well

• Generating descriptive statistics tables and discussing in relation to single variables – mean,
median, skewness

• Discussion of factors contributing to the values of these variables.
• Generation of relevant correlations – for variables of interest
• Subsequent discussion either of these correlations, or variables that could be expected to be

correlated.
• Use of appropriate graphs to plot key associations between variables
• Recognition of moral dilemma in ethical issues and some supporting discussion
• Logic tree – most done were MECE
• Literature – overall, a sound level of reference to, and incorporation of, relevant literature.

Areas for improvement (where better responses stood out)

• Problem framing – using the 5W’s and considering the stakeholders.
• Literature – linking the literature from the issue to the ECT issue
• In some cases, the choice of graphs could be improved – think of what best tells the story
• Ensuring that your graphs support your argument and are incorporated in it. In effect, ask yourself,

what does this graph tell the reader and how can I add explanation to reinforce its value
• Correlations – discussing what variables could be expected to be correlated.
• If using a scatterplot, adding a trendline or discussing what the plot shows is always useful.
• Discuss what may have contributed to particular mean, median, skewness or correlation values.
• Ethics – discuss the issue through the ethical viewpoints’ lenses.

Overall average = 15.85/25




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