Reliability, validity, generalizability and credibility. Pt .1 of 3: Research Quality

A lecture on the quality of research and the research process taken from a series on research methods and research design given to masters (graduate) students by Graham R Gibbs at the University of Huddersfield. This is part 1 of three, and deals with ideas of reliability, validity, generalizability and credibility, especially as applied to quantitative research.

[@yashikasingh3005]

Thank you Mr. Graham R Gibbs. 🙏🙏🙏
Love from India.💕🙆‍♀️

[@robbiemills6623]

2021 still going strong this was amazing thank you for doing an incredible lecture.

[@elierry]

I enjoy listening this presentations. It is great summarizatio of the topic.

[@Maxmili4no]

For years I did not understand accurately the regression threat, even with Cook & Campbell. Thank you professor Gibbs!!!

[@yashikasingh3005]

Jai Hemalatha!🙏💪
This is among the best of free content on internet today ma'am. 💕💕🙆‍♀️🙆‍♀️

[@TheMay4u]

Prof. Graham - Thank you so much I love this VDO

[@gborowme]

Finally, I will understand research quality, will watch all 3 and do my paper. Will cite you.
Thank you, I am a nursing public health student.this information will help me think clear . Thank you Instructor Gibbs.

[@kkatka78]

Thank you very much for great explanation Mr. Gibbs. It helped me a lot! I hope to see more of your videos.

[@amanyabouzeid9689]

Absolutely brilliant, watching again in 2021. Thank you!

[@Maxmili4no]

Thank you professor Gibbs for all your knowledge!!!

[@petermorlin2522]

Excellent Lecture Professor Gibbs absolutely useful and much clearer.

[@senafdo1]

Quality material and excellent teaching, many thanks Graham-Senani

[@chinaseliteagency]

Very professional. Thank you so much dear professor!

[@MsDeenilislam]

Thankyou Graham this was excellent!! may god guide your path!

[@andyzeng9463]

The metaphor is well said, absolutely discernible

[@jessicahoward1005]

Amazing, thank you for this wonderful lecture.

[@carec3268]

Thank you, Professor Gibbs!! :)

[@aadhardev]

Brilliant lecture! Thank you very much!

[@kellywarren1703]

2022.. and I finally understand internal and external validity! Thank you..

[@mervenurcoban3411]

Great lecture, helped me a lot. thank you!

[@jemgem9593]

Love you Graham! 🎓

[@biancaboshoff]

Thanks so much for this video! Very helpful!

[@stephanusstephanus6075]

This video helped me so much in my end of year exams

[@silviagonzalezmor]

THANK YOU very much for such a clear and fresh reminder, Prof Gibbs. Very helpful for the PhD I am working on now, and 7 years after studying social research methods at Loughborough University - excatly the year of this lecture.

[@yogihaircareskincare6391]

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[@Infinitesap]

Really awesome explanations! Thanks very much :)

[@obertdzvimbo4411]

Thanks Prof, well explained and exemplified.

[@lucianngeze760]

Learnt a lot from this work. Thank you!

[@amoorebright602]

Great lecture. Thanks a lot.

[@melodyni9041]

Thank you for sharing this lecture, it's so helpful

[@towficaakter251]

I am happy because of my learning.

[@aaalameer]

Thanks prof. Very useful lecture

[@mattetor6726]

Your lectures are great!

[@cassarndrahackett4065]

Fantastic Lecture! I utilised it for my research methods class in Clinical Psychology. It was clear, concise and understandable. Wish you lectured at my university!

[@yehudaerik3595]

i dont mean to be offtopic but does anybody know a way to log back into an instagram account?
I was dumb lost my password. I appreciate any tricks you can give me.

[@alanoudabualsaud1191]

Thanks a lot. Very useful lecture!

[@user-xn2hf9re8r]

brilliant lecturer thank you

[@abdullajonnematov6599]

Very understanding. Thank you professor

[@kubjini]

Thank you very much.

[@Haymanotify]

Thank you very much!

[@mudanistlectures4446]

it is very helpful. Thank you for it. Guulayso.

[@pinkdiscogirl]

Thank you!

[@dollyjain4201]

thank you so much SIR.

[@Happythebeagle4949]

very helpful, thank you

[@manar2158]

thanks a lot it is very useful

[@GJsuperman]

thank you!

[@annarose3670]

Thank you so much :)

[@budziniketamwa8940]

wonderful

[@groovyrooby1]

this is excellent. i don't know that i've heard of this regression effect before. fascinating. thank you.

[@meganwachsmuth8101]

bat man

[@abdiissack6996]

Thanks Professor. Your lectures has enlightened me more on the Research Module that I'm currently studying.

[@quratulaan7009]

First of all many thanks you Prof. Gibbs for making these valuable lectures free to access. How can i cite these in my manuscript?

[@abdulrahmanabutaleb7375]

Thank you sir so much

[@violakabigabwa9240]

This was helpful, thank you.

[@violakabigabwa9240]

P

[@YOHANNA-W-e7q]

How to manually calculate the validity and reliability of research questionnaire?

[@hihhih2663]

Thanks alot

[@niwagabagilbert5205]

Fantastic lecture Graham

[@niwagabagilbert5205]

Research project

[@niwagabagilbert5205]

Pushing on but not right

[@andream656]

Hi I've found it. Thanks

[@fabbeyonddadancer]

Are there lecture like this gravitate towards history ?

[@romantic786313]

do you have lecture on strengths and limitations on Quantitative studies ? on methods, design, population etc etc

[@sarahprice8307]

Very good

[@johnodutemu2054]

How do you calculate validity?

[@alannatomlinson7723]

Thanks

[@andream656]

Thank you for this. Please excuse my ignorance, but do you have the full reference for the Shipman questions used ?

[@aminatasheriff3401]

Thanks for the lectures ,its really educative

[@shannonpark9944]

Quality

[@vecernicek2]

I expected a chef John recipe after that intro theme..

[@ThePatriciaGem]

excuse me Graham R Gibbs
may i ask? what is the pattern of arrow target for the measurement/research that have validity but not reliability? is this kind of research really exist?
sorry for my bad english
thank you

[@GrahamRGibbs]

Validity means we are measuring or researching what we think we are measuring or researching. In particular the measure should be free of systematic error. Reliability means getting results in a consistent way. So a measure that is valid, that is, it measures what we think it does and not some other variables, can be reliable or unreliable. For example, it may be unreliable because its value varies a lot from occasion to occasion or with different researchers.

[@daviddowdle3698]

See: www.documentingexcellence.com/stat_tool/reliabilityvalidity.htm

[@jhonanthonybatayola5116]

How can one test the validity and reliability of a theory? sir?:) thanks.

[@GrahamRGibbs]

Jhon, these terms refer to empirical investigations, studies and not to theories. Our study is valid if it measures what we think it measures and it is reliable if our study is repeated by other people and on different occasions and gets the same results. Theories are used to try to explain why we get the results we do or possibly to generate ideas that we can test empirically. Theories are judged by how well they explain the facts or how much they predict.

[@jhonanthonybatayola5116]

ohhh got it sir thankyouu very much:)

[@maramezina1094]

Theories can help us in establishing content validity

[@donq2957]

Oh yeah ...olympic regression

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[@chetanasin9150]

Thanks