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Critical reading - Shared screen with speaker view
Education at Digital Health CRC
19:34
Handout https://www.digitalhealthcrc.com/wp-content/uploads/2020/09/CriticalReadingHandout.pdf
Millicent Crowe
21:19
Millie from Newcastle looking for water in western NSW using geophysics!
Liz mckenna
21:40
Sydney, Fidelity of implementation of Inquiry learning in IBPYP classroom. MOther of 23 year old twins.
Kate J
21:40
Hi all, i’m Kate from SA-Adelaide, and researching palliative care bereavement support, and on the lawn mowing theme, i am using a push lawnmower for exercise :)
NEHA BISHNOI
21:53
Hello, this is Neha. I am pursuing my PhD with UTS and currently working as a Lecturer with various universities in Sydney.
Jennifer Sun
21:55
Hi everyone, I’m study at Flinders university (Adelaide). My project is focusing on PTSD and meta-awareness :)
Macey Barratt
22:08
Hi, my name is Macey, I am in Canberra, currently completing my PhD in nursing, looking at partnership nursing.
NEHA BISHNOI
22:32
Sorry forgot to mention my topic: Big data analytics
Frederick Anlimah
23:52
To be effective
Linda Deys
23:58
for my literature review!
Kate J
24:02
to not miss relevant data
Zhao Koh
24:03
To help me scan through a large amount of literature quickly
Danielle Burns
24:07
I want to fully understand the issues surrounding my topic
Kate Greenwood
24:11
To analyse the gaps in research
Macey Barratt
24:23
To judge the quality of previous research
Jennifer Sun
24:36
to improve future research/experiment
Millicent Crowe
26:26
yes!
Cassie Russell
26:45
yes, definitely use it to construct my own methods
Kate Greenwood
27:20
Will these slides be available afterwards?
Kate Greenwood
27:36
Thank you!
Liz mckenna
28:20
making connections
Sam Brown
28:25
Deeper thought and understandig
Millicent Crowe
28:29
assess the strengths and weaknesses of the article
Anggelia Essi Christian
28:41
interpretation
Linda Deys
28:42
To create a new understanding by combining literature/research
Kate Greenwood
28:48
Analysis
Rekha Attanayake
29:01
to analyse different facts
Linda Deys
33:38
yes looks ideal
Rekha Attanayake
33:45
perfect
Kate J
41:47
››thank you it is what i am aiming for though easy to get lost in the process
Kate Greenwood
41:48
I really like this it makes sense thank you
Danielle Burns
41:51
All good here
Rekha Attanayake
42:21
Very clear. Thanks
Kate J
52:35
method, assumptions, participants
Nicole Cormier
52:39
overreaching conclusions based on limited data collection
Linda Deys
52:47
the experience of the target group
Sam Brown
53:04
Data, methods and interpretation of results
Linda Deys
53:06
yes
Cristina Thompson
53:24
Alignment between methods and theoretical models
Rui Huang
53:43
objective methodology result
Liz mckenna
53:53
qual data and participants,
Frederick Anlimah
54:16
yes
Anggelia Essi Christian
54:25
method used, models/ framework, (?)
Liz mckenna
54:44
education
Peter Weir
55:11
ag research
Millicent Crowe
55:19
geoscience
Kate Greenwood
55:26
Archaeology
Anggelia Essi Christian
55:28
science - nanotechnology
Rekha Attanayake
55:33
Soil Science
Gihan Gunasekara
55:35
Cyber Security, Internet of Things...
Linda McGowan
55:45
social history
Beatrice Dewenter
57:15
Ecological relevance & statistical significance
Linda Deys
57:15
woman-centredness, a feminist lens
Sam Brown
57:30
Personal touch
Liz mckenna
57:33
accuracy, school/classroom applications and voice of educators
Kate J
57:42
accessible, duty of care, less theory, applicability
Gihan Gunasekara
57:45
Real-world applicability, Accuracy...
Linda Deys
58:03
recnency probably a factor too
Kate Greenwood
58:11
Indigenous perspectives/ inclusion, applicability for the field
Damayanthi Mahamadachchi
58:14
social justice, real world applicability
Siew Hong Chai
58:14
Model generation: Experimental or Theoretical
Zhao Koh
58:16
psychometric sound (validity and reliability)?
Macey Barratt
58:43
Bias present
Anggelia Essi Christian
58:56
cost effectiveness, applicability, accuracy, time
Nicole Phelan
01:05:04
https://www.digitalhealthcrc.com/wp-content/uploads/2020/09/CriticalReadingHandout.pdf
Kate J
01:07:08
target audience, age, location, risk level, disease type
Huong NGUYEN
01:07:34
attitude toward cancer predictive in groups if non high rik women and men to analyse the factors that may influence their intenion to use these tes. Women are more motivated to get genetic testing
Rui Huang
01:07:54
to investigate the attitudes toward cancer predictive genetic testing in a group of non-high-risk women and men and to analyze the factors that may influence their intention to use these tests.
Sam Brown
01:07:56
Separate questionnaires for males and females, only outpatients and the use of non-high-risk patients
Liz mckenna
01:08:15
4 hospitals, age women and men between 30 -74, investigating attitudes towards testing
Kate Greenwood
01:08:16
Non-high risk men and women, outpatients, 859 participants, face-to-face interviews, 30-74 ages
Rui Huang
01:08:18
Paticipants 30 and 74 years
Millicent Crowe
01:08:22
no participant had history of cancer
Cristina Thompson
01:08:30
Focus on attitudes
Damayanthi Mahamadachchi
01:08:38
attitude toward cancer predictive in groups , different questionnaire by gender, face-to face interviews, age
Millicent Crowe
01:08:42
two different questionaires
Linda Deys
01:09:08
investigated attitudes and what influences participants to use a test. Questionaire used - used stats and compared male and female
Anggelia Essi Christian
01:10:02
atritudes toward a certain testing type
Anggelia Essi Christian
01:10:16
clear
Frederick Anlimah
01:11:16
This implies reading more than one?
Gihan Gunasekara
01:12:12
to investigate the attitudes, analyze the factors that may influence their intention, studied a sample, were asked to answer a questionnaire, descriptive statistics and univariate comparisons used..
Liz mckenna
01:13:06
age range - 50 to 80
Millicent Crowe
01:13:15
They used different questionares - use the same questionnaire for both genders
Kate J
01:13:28
different target participants, (someone who had that cancer in the family)
Linda Deys
01:13:30
compaing different age groups within the seses - maybe women of 30 would do differently to one of 70 for example
Liz mckenna
01:13:31
qualitative interviews
Sam Brown
01:13:36
Use the same questionnaire and study high risk patients
Kate Greenwood
01:13:40
High-risk women and men
Damayanthi Mahamadachchi
01:13:42
one gender group
Frederick Anlimah
01:13:52
Does the alternatives not refer to the choices of the writer?
Kate Greenwood
01:14:02
Publishing in another journal
Frederick Anlimah
01:14:19
ok
Millicent Crowe
01:14:31
Different types of cancer - one that affects both men and women
Anggelia Essi Christian
01:14:35
motivation and awareness
Cassie Russell
01:15:02
social demographic of people- not just government employees, and the education of participants
Linda Deys
01:19:13
if women are more likely to get tested, this may be related to education given to women about their health
Anggelia Essi Christian
01:21:44
how gender, age, demographic influence people awareness on the risk of having cancer
Kate J
01:21:54
alternative, to explore willingness/attitude to testing for those who are at higher risk, focussing on how to encourage testing (only if there is value in knowing of course), greater risk in this alternative, greater chance of benefit (based on testing with a purpose of reducing risk of disease), targeted to reduce development of illness
Millicent Crowe
01:22:29
Two different questionairs - how can you compare the attitudes if there are different questionnaires? One questionnaire would be better
Gihan Gunasekara
01:23:56
2 types of cancer, 2 types of gender, 2 types of quiz - difficult to compare...
Rui Huang
01:24:40
alternative, changing the age range from 18 to 30, 31 to 50, 51 to 74. Coz at different generation they might have different education level.
Zhao Koh
01:25:32
(a general question) can we apply this 4-step process to the abstract only (at least for the first pass) before delving into the details? Or do you recommend reading the whole paper before starting this process?
Nicole Cormier
01:25:47
yes, a version but more structured
Danielle Burns
01:25:55
I think so, not 100% sure until I tackle a new article
Frederick Anlimah
01:26:34
What happens when you are new to the subject? How can you effectively evaluate the strength and weakness?
Zhao Koh
01:26:48
great thanks!
Peter Weir
01:27:12
need to read conclusions as well
Frederick Anlimah
01:29:41
Yes.
Farshid Anvari
01:36:05
generally how long it takes to do a critical reading of a reasonably difficult paper?
Millicent Crowe
01:43:08
Hi Cassily, I can see the applications to this for your example - the article I chose seems to be a lot more about the method development to solve a problem - method 1, method 2, optional extra to both methods allows issue to be somewhat resolved. For something like this is it okay to have a lot less choices than the example we went through together?
Liz mckenna
01:43:08
easier in own field
Linda Deys
01:43:12
a new way of thinking
Kate J
01:43:15
paper survey used to ask about service delivery resulting, in loss of ability to explore the role in depth, personal interview
Danielle Burns
01:43:23
Agreed about easier in own field
Nicole Cormier
01:43:29
yes easier in own field
Sam Brown
01:43:36
Could have used different thresholds in experiments. Point of view on the alternative is that it could significantly alter the results. Supportive evidence could be of using different models and more specific models
Frederick Anlimah
01:43:40
Its new and keeps me asking questions but it slows me down
Damayanthi Mahamadachchi
01:43:44
yes it is easier in own feild
Kate Greenwood
01:46:04
would we look critically at the aims of a study or just the choices?
Nicole Cormier
01:46:07
thank you!
Liz mckenna
01:46:09
thank you. very helpful
Sam Brown
01:46:10
Thank you!
Ali Siddiq
01:46:10
Thank you
Damayanthi Mahamadachchi
01:46:11
thank you very much
Danielle Burns
01:46:12
Thank you for the session
Kate J
01:46:16
thank you it has been really helpful
Rekha Attanayake
01:46:17
Thank you
Anggelia Essi Christian
01:46:17
thank you
Cristina Thompson
01:46:19
Many thanks
Mariana Intan
01:46:22
Thank you
Millicent Crowe
01:46:23
Thank you Cassily :)
Rui Huang
01:46:25
Thanks
Linda Deys
01:46:31
great, thank you
Annie Hepworth
01:46:38
Thank you so much.
Frederick Anlimah
01:46:41
Thank you
Saud Alshammari
01:46:44
Thank you, Cassily!
Kate Greenwood
01:46:46
Thank you so much!! This was super useful :)
Gihan Gunasekara
01:47:21
Thanks heaps...
Kate Greenwood
01:47:59
Thank you :)