Contradiction on findings in existing literatureShould I report an accepted PhD thesis in which the literature review is copied verbatim from sources?What to do (years later) with otherwise good student who has accidentally plagiarised part of PhD thesis?Is there such a thing as too much work for a Master's Thesis?How detailed do I have to provide sourcesHow to Reference a Long Breakdown of a Mathematical Model from Another Thesis?Writing PhD thesis as part of consortium projectRemind professor of email a second time?Working relationship with master thesis professorDimensionless axis plotsThesis' “Future Work” section – is it acceptable to omit personal involvement in a mentioned project?
Make 1998 using the least possible digits 8
How are aircraft depainted?
In what sequence should an advanced civilization teach technology to medieval society to maximize rate of adoption?
What organs or modifications would be needed for a life biological creature not to require sleep?
The Planck constant for mathematicians
Are there any “Third Order” acronyms used in space exploration?
Why are some files not movable on Windows 10?
What 68-pin connector is this on my 2.5" solid state drive?
If a space ship entered Earth orbit, how likely is it to be seen?
Contradiction on findings in existing literature
I was promised a work PC but still awaiting approval 3 months later so using my own laptop - Is it fair to ask employer for laptop insurance?
What makes a smart phone "kosher"?
Asked to Not Use Transactions and to Use A Workaround to Simulate One
What exactly is a marshrutka (маршрутка)?
Usage of blank space in trade banner and text-positioning
Is "you will become a subject matter expert" code for "you'll be working on your own 100% of the time"?
How do certain apps show new notifications when internet access is restricted to them?
2000s space film where an alien species has almost wiped out the human race in a war
Which is the current decimal separator?
Is there any way to land a rover on the Moon without using any thrusters?
Is low emotional intelligence associated with right-wing and prejudiced attitudes?
What was the ultimate objective of The Party in 1984?
What is the name of this Allen-head furniture fastener?
geschafft or geschaffen? which one is past participle of schaffen?
Contradiction on findings in existing literature
Should I report an accepted PhD thesis in which the literature review is copied verbatim from sources?What to do (years later) with otherwise good student who has accidentally plagiarised part of PhD thesis?Is there such a thing as too much work for a Master's Thesis?How detailed do I have to provide sourcesHow to Reference a Long Breakdown of a Mathematical Model from Another Thesis?Writing PhD thesis as part of consortium projectRemind professor of email a second time?Working relationship with master thesis professorDimensionless axis plotsThesis' “Future Work” section – is it acceptable to omit personal involvement in a mentioned project?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I'm currently writing my thesis where I have two underlying sources where one says that a variable (has the founder of a kickstarter project backed other projects?) has influence on the dependent variable, while another source says it doesn't. What do I do in such a situation?
thesis supporting-information
asked 9 hours ago
beldbeld
233 bronze badges
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment
|
I'm currently writing my thesis where I have two underlying sources where one says that a variable (has the founder of a kickstarter project backed other projects?) has influence on the dependent variable, while another source says it doesn't. What do I do in such a situation?
thesis supporting-information
asked 9 hours ago
beldbeld
233 bronze badges
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
2
Quote them both or figure out which is correct and why. Simple. (no, not really)
– Buffy
8 hours ago
1
The conflict between the two sources is a good research topic by itself. Only one can be correct.
– Wolfgang Bangerth
6 hours ago
add a comment
|
I'm currently writing my thesis where I have two underlying sources where one says that a variable (has the founder of a kickstarter project backed other projects?) has influence on the dependent variable, while another source says it doesn't. What do I do in such a situation?
thesis supporting-information
asked 9 hours ago
beldbeld
233 bronze badges
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I'm currently writing my thesis where I have two underlying sources where one says that a variable (has the founder of a kickstarter project backed other projects?) has influence on the dependent variable, while another source says it doesn't. What do I do in such a situation?
thesis supporting-information
thesis supporting-information
asked 9 hours ago
beldbeld
233 bronze badges
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 9 hours ago
beldbeld
233 bronze badges
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 9 hours ago
beldbeld
233 bronze badges
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 9 hours ago
beldbeld
233 bronze badges
asked 9 hours ago
beldbeld
233 bronze badges
233 bronze badges
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
beld is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
2
Quote them both or figure out which is correct and why. Simple. (no, not really)
– Buffy
8 hours ago
1
The conflict between the two sources is a good research topic by itself. Only one can be correct.
– Wolfgang Bangerth
6 hours ago
add a comment
|
2
Quote them both or figure out which is correct and why. Simple. (no, not really)
– Buffy
8 hours ago
1
The conflict between the two sources is a good research topic by itself. Only one can be correct.
– Wolfgang Bangerth
6 hours ago
2
2
Quote them both or figure out which is correct and why. Simple. (no, not really)
– Buffy
8 hours ago
Quote them both or figure out which is correct and why. Simple. (no, not really)
– Buffy
8 hours ago
1
1
The conflict between the two sources is a good research topic by itself. Only one can be correct.
– Wolfgang Bangerth
6 hours ago
The conflict between the two sources is a good research topic by itself. Only one can be correct.
– Wolfgang Bangerth
6 hours ago
add a comment
|
2 Answers
2
active
oldest
votes
As Buffy notes, you cite both, and expound upon the apparent conflict.
If you are just reviewing literature, you would point out that the two studies came to different conclusions. If this is on-topic for your thesis, you would then dig a bit deeper and clarify what the studies have in common and how they differ, as it would lay out potential explanations for the apparent conflict.
This sort of thing is often the goal of reviewing literature to start with - identify a gap where there are no studies, or identify places where studies and/or theory seems to disagree.
Depending on what work you are doing, you may simply note this as a promising topic for future research, or you may want to try to address this conflict yourself with your own work to try to resolve the contradiction. The answer may be all kinds of things, from seeking out a mediating variable, to changing the analysis in a way that makes the conflict disappear, to ending up confirming that in fact "sometimes this variable matters, and sometimes it doesn't, and we don't know why."
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
Thank you for the broad answer, helps to understand the underlying logic behind each decision. In my case, the variable is only of secondary importance so I will simply note this as an interesting finding
– beld
8 hours ago
add a comment
|
A statistics caution: "not significant" does not mean "not different" or "not related."
If one study reports X and Y are significantly correlated, p=0.01, and another study reports X and Y are not significantly correlated, p=0.23 these results are not necessarily in conflict.
You likely don't need to go through a whole meta analysis procedure in your thesis' literature review if that isn't a major objective, but you should consider apparently conflicting information carefully to make sure it is actually in conflict, including both methodological differences and the effects of random sampling and sample size.
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
1
Yes, I was about to leave this answer myself. It's unusual to directly show that variables are unrelated, they instead show no evidence of association. One way to see if there's a conflict is to look at effect size and sample size. From the study that found significant association, you can find the effect size of the association. Using that and the sample size from the other study, you can calculate power. If the second study is underpowered, the fact that they find no association is unsurprising - they did not collect enough data. If they did have enough data, only then is there a conflict.
– Nuclear Wang
7 hours ago
1
@NuclearWang Right. Even then they may not be in conflict, because effect size estimates from a single study can be very imprecise. But yes, you can use the power estimate approach to at least figure out how likely the second study would be to miss an effect similar in size to the one observed in the first study. Even if both studies are appropriately powered and assuming the effect is real i.e. null is false, according to some standard power threshold like 80% you'd by definition expect 20% of the studies to fail to reject the null hypothesis.
– Bryan Krause
6 hours ago
1
+1 very true, and this of course also comes up in regression models where many variables are dumped in and some aren't "significant", but may or may not improve the model depending on the comparison metric used, etc.
– BrianH
4 hours ago
add a comment
|
Your Answer
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "415"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/4.0/"u003ecc by-sa 4.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
beld is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2facademia.stackexchange.com%2fquestions%2f137101%2fcontradiction-on-findings-in-existing-literature%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
As Buffy notes, you cite both, and expound upon the apparent conflict.
If you are just reviewing literature, you would point out that the two studies came to different conclusions. If this is on-topic for your thesis, you would then dig a bit deeper and clarify what the studies have in common and how they differ, as it would lay out potential explanations for the apparent conflict.
This sort of thing is often the goal of reviewing literature to start with - identify a gap where there are no studies, or identify places where studies and/or theory seems to disagree.
Depending on what work you are doing, you may simply note this as a promising topic for future research, or you may want to try to address this conflict yourself with your own work to try to resolve the contradiction. The answer may be all kinds of things, from seeking out a mediating variable, to changing the analysis in a way that makes the conflict disappear, to ending up confirming that in fact "sometimes this variable matters, and sometimes it doesn't, and we don't know why."
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
Thank you for the broad answer, helps to understand the underlying logic behind each decision. In my case, the variable is only of secondary importance so I will simply note this as an interesting finding
– beld
8 hours ago
add a comment
|
As Buffy notes, you cite both, and expound upon the apparent conflict.
If you are just reviewing literature, you would point out that the two studies came to different conclusions. If this is on-topic for your thesis, you would then dig a bit deeper and clarify what the studies have in common and how they differ, as it would lay out potential explanations for the apparent conflict.
This sort of thing is often the goal of reviewing literature to start with - identify a gap where there are no studies, or identify places where studies and/or theory seems to disagree.
Depending on what work you are doing, you may simply note this as a promising topic for future research, or you may want to try to address this conflict yourself with your own work to try to resolve the contradiction. The answer may be all kinds of things, from seeking out a mediating variable, to changing the analysis in a way that makes the conflict disappear, to ending up confirming that in fact "sometimes this variable matters, and sometimes it doesn't, and we don't know why."
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
Thank you for the broad answer, helps to understand the underlying logic behind each decision. In my case, the variable is only of secondary importance so I will simply note this as an interesting finding
– beld
8 hours ago
add a comment
|
As Buffy notes, you cite both, and expound upon the apparent conflict.
If you are just reviewing literature, you would point out that the two studies came to different conclusions. If this is on-topic for your thesis, you would then dig a bit deeper and clarify what the studies have in common and how they differ, as it would lay out potential explanations for the apparent conflict.
This sort of thing is often the goal of reviewing literature to start with - identify a gap where there are no studies, or identify places where studies and/or theory seems to disagree.
Depending on what work you are doing, you may simply note this as a promising topic for future research, or you may want to try to address this conflict yourself with your own work to try to resolve the contradiction. The answer may be all kinds of things, from seeking out a mediating variable, to changing the analysis in a way that makes the conflict disappear, to ending up confirming that in fact "sometimes this variable matters, and sometimes it doesn't, and we don't know why."
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
As Buffy notes, you cite both, and expound upon the apparent conflict.
If you are just reviewing literature, you would point out that the two studies came to different conclusions. If this is on-topic for your thesis, you would then dig a bit deeper and clarify what the studies have in common and how they differ, as it would lay out potential explanations for the apparent conflict.
This sort of thing is often the goal of reviewing literature to start with - identify a gap where there are no studies, or identify places where studies and/or theory seems to disagree.
Depending on what work you are doing, you may simply note this as a promising topic for future research, or you may want to try to address this conflict yourself with your own work to try to resolve the contradiction. The answer may be all kinds of things, from seeking out a mediating variable, to changing the analysis in a way that makes the conflict disappear, to ending up confirming that in fact "sometimes this variable matters, and sometimes it doesn't, and we don't know why."
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
answered 8 hours ago
BrianHBrianH
20.3k6 gold badges47 silver badges79 bronze badges
20.3k6 gold badges47 silver badges79 bronze badges
Thank you for the broad answer, helps to understand the underlying logic behind each decision. In my case, the variable is only of secondary importance so I will simply note this as an interesting finding
– beld
8 hours ago
add a comment
|
Thank you for the broad answer, helps to understand the underlying logic behind each decision. In my case, the variable is only of secondary importance so I will simply note this as an interesting finding
– beld
8 hours ago
Thank you for the broad answer, helps to understand the underlying logic behind each decision. In my case, the variable is only of secondary importance so I will simply note this as an interesting finding
– beld
8 hours ago
Thank you for the broad answer, helps to understand the underlying logic behind each decision. In my case, the variable is only of secondary importance so I will simply note this as an interesting finding
– beld
8 hours ago
add a comment
|
A statistics caution: "not significant" does not mean "not different" or "not related."
If one study reports X and Y are significantly correlated, p=0.01, and another study reports X and Y are not significantly correlated, p=0.23 these results are not necessarily in conflict.
You likely don't need to go through a whole meta analysis procedure in your thesis' literature review if that isn't a major objective, but you should consider apparently conflicting information carefully to make sure it is actually in conflict, including both methodological differences and the effects of random sampling and sample size.
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
1
Yes, I was about to leave this answer myself. It's unusual to directly show that variables are unrelated, they instead show no evidence of association. One way to see if there's a conflict is to look at effect size and sample size. From the study that found significant association, you can find the effect size of the association. Using that and the sample size from the other study, you can calculate power. If the second study is underpowered, the fact that they find no association is unsurprising - they did not collect enough data. If they did have enough data, only then is there a conflict.
– Nuclear Wang
7 hours ago
1
@NuclearWang Right. Even then they may not be in conflict, because effect size estimates from a single study can be very imprecise. But yes, you can use the power estimate approach to at least figure out how likely the second study would be to miss an effect similar in size to the one observed in the first study. Even if both studies are appropriately powered and assuming the effect is real i.e. null is false, according to some standard power threshold like 80% you'd by definition expect 20% of the studies to fail to reject the null hypothesis.
– Bryan Krause
6 hours ago
1
+1 very true, and this of course also comes up in regression models where many variables are dumped in and some aren't "significant", but may or may not improve the model depending on the comparison metric used, etc.
– BrianH
4 hours ago
add a comment
|
A statistics caution: "not significant" does not mean "not different" or "not related."
If one study reports X and Y are significantly correlated, p=0.01, and another study reports X and Y are not significantly correlated, p=0.23 these results are not necessarily in conflict.
You likely don't need to go through a whole meta analysis procedure in your thesis' literature review if that isn't a major objective, but you should consider apparently conflicting information carefully to make sure it is actually in conflict, including both methodological differences and the effects of random sampling and sample size.
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
1
Yes, I was about to leave this answer myself. It's unusual to directly show that variables are unrelated, they instead show no evidence of association. One way to see if there's a conflict is to look at effect size and sample size. From the study that found significant association, you can find the effect size of the association. Using that and the sample size from the other study, you can calculate power. If the second study is underpowered, the fact that they find no association is unsurprising - they did not collect enough data. If they did have enough data, only then is there a conflict.
– Nuclear Wang
7 hours ago
1
@NuclearWang Right. Even then they may not be in conflict, because effect size estimates from a single study can be very imprecise. But yes, you can use the power estimate approach to at least figure out how likely the second study would be to miss an effect similar in size to the one observed in the first study. Even if both studies are appropriately powered and assuming the effect is real i.e. null is false, according to some standard power threshold like 80% you'd by definition expect 20% of the studies to fail to reject the null hypothesis.
– Bryan Krause
6 hours ago
1
+1 very true, and this of course also comes up in regression models where many variables are dumped in and some aren't "significant", but may or may not improve the model depending on the comparison metric used, etc.
– BrianH
4 hours ago
add a comment
|
A statistics caution: "not significant" does not mean "not different" or "not related."
If one study reports X and Y are significantly correlated, p=0.01, and another study reports X and Y are not significantly correlated, p=0.23 these results are not necessarily in conflict.
You likely don't need to go through a whole meta analysis procedure in your thesis' literature review if that isn't a major objective, but you should consider apparently conflicting information carefully to make sure it is actually in conflict, including both methodological differences and the effects of random sampling and sample size.
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
A statistics caution: "not significant" does not mean "not different" or "not related."
If one study reports X and Y are significantly correlated, p=0.01, and another study reports X and Y are not significantly correlated, p=0.23 these results are not necessarily in conflict.
You likely don't need to go through a whole meta analysis procedure in your thesis' literature review if that isn't a major objective, but you should consider apparently conflicting information carefully to make sure it is actually in conflict, including both methodological differences and the effects of random sampling and sample size.
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
edited 6 hours ago
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
answered 8 hours ago
Bryan KrauseBryan Krause
21.7k5 gold badges67 silver badges85 bronze badges
21.7k5 gold badges67 silver badges85 bronze badges
1
Yes, I was about to leave this answer myself. It's unusual to directly show that variables are unrelated, they instead show no evidence of association. One way to see if there's a conflict is to look at effect size and sample size. From the study that found significant association, you can find the effect size of the association. Using that and the sample size from the other study, you can calculate power. If the second study is underpowered, the fact that they find no association is unsurprising - they did not collect enough data. If they did have enough data, only then is there a conflict.
– Nuclear Wang
7 hours ago
1
@NuclearWang Right. Even then they may not be in conflict, because effect size estimates from a single study can be very imprecise. But yes, you can use the power estimate approach to at least figure out how likely the second study would be to miss an effect similar in size to the one observed in the first study. Even if both studies are appropriately powered and assuming the effect is real i.e. null is false, according to some standard power threshold like 80% you'd by definition expect 20% of the studies to fail to reject the null hypothesis.
– Bryan Krause
6 hours ago
1
+1 very true, and this of course also comes up in regression models where many variables are dumped in and some aren't "significant", but may or may not improve the model depending on the comparison metric used, etc.
– BrianH
4 hours ago
add a comment
|
1
Yes, I was about to leave this answer myself. It's unusual to directly show that variables are unrelated, they instead show no evidence of association. One way to see if there's a conflict is to look at effect size and sample size. From the study that found significant association, you can find the effect size of the association. Using that and the sample size from the other study, you can calculate power. If the second study is underpowered, the fact that they find no association is unsurprising - they did not collect enough data. If they did have enough data, only then is there a conflict.
– Nuclear Wang
7 hours ago
1
@NuclearWang Right. Even then they may not be in conflict, because effect size estimates from a single study can be very imprecise. But yes, you can use the power estimate approach to at least figure out how likely the second study would be to miss an effect similar in size to the one observed in the first study. Even if both studies are appropriately powered and assuming the effect is real i.e. null is false, according to some standard power threshold like 80% you'd by definition expect 20% of the studies to fail to reject the null hypothesis.
– Bryan Krause
6 hours ago
1
+1 very true, and this of course also comes up in regression models where many variables are dumped in and some aren't "significant", but may or may not improve the model depending on the comparison metric used, etc.
– BrianH
4 hours ago
1
1
Yes, I was about to leave this answer myself. It's unusual to directly show that variables are unrelated, they instead show no evidence of association. One way to see if there's a conflict is to look at effect size and sample size. From the study that found significant association, you can find the effect size of the association. Using that and the sample size from the other study, you can calculate power. If the second study is underpowered, the fact that they find no association is unsurprising - they did not collect enough data. If they did have enough data, only then is there a conflict.
– Nuclear Wang
7 hours ago
Yes, I was about to leave this answer myself. It's unusual to directly show that variables are unrelated, they instead show no evidence of association. One way to see if there's a conflict is to look at effect size and sample size. From the study that found significant association, you can find the effect size of the association. Using that and the sample size from the other study, you can calculate power. If the second study is underpowered, the fact that they find no association is unsurprising - they did not collect enough data. If they did have enough data, only then is there a conflict.
– Nuclear Wang
7 hours ago
1
1
@NuclearWang Right. Even then they may not be in conflict, because effect size estimates from a single study can be very imprecise. But yes, you can use the power estimate approach to at least figure out how likely the second study would be to miss an effect similar in size to the one observed in the first study. Even if both studies are appropriately powered and assuming the effect is real i.e. null is false, according to some standard power threshold like 80% you'd by definition expect 20% of the studies to fail to reject the null hypothesis.
– Bryan Krause
6 hours ago
@NuclearWang Right. Even then they may not be in conflict, because effect size estimates from a single study can be very imprecise. But yes, you can use the power estimate approach to at least figure out how likely the second study would be to miss an effect similar in size to the one observed in the first study. Even if both studies are appropriately powered and assuming the effect is real i.e. null is false, according to some standard power threshold like 80% you'd by definition expect 20% of the studies to fail to reject the null hypothesis.
– Bryan Krause
6 hours ago
1
1
+1 very true, and this of course also comes up in regression models where many variables are dumped in and some aren't "significant", but may or may not improve the model depending on the comparison metric used, etc.
– BrianH
4 hours ago
+1 very true, and this of course also comes up in regression models where many variables are dumped in and some aren't "significant", but may or may not improve the model depending on the comparison metric used, etc.
– BrianH
4 hours ago
add a comment
|
beld is a new contributor. Be nice, and check out our Code of Conduct.
beld is a new contributor. Be nice, and check out our Code of Conduct.
beld is a new contributor. Be nice, and check out our Code of Conduct.
beld is a new contributor. Be nice, and check out our Code of Conduct.
Thanks for contributing an answer to Academia Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2facademia.stackexchange.com%2fquestions%2f137101%2fcontradiction-on-findings-in-existing-literature%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
2
Quote them both or figure out which is correct and why. Simple. (no, not really)
– Buffy
8 hours ago
1
The conflict between the two sources is a good research topic by itself. Only one can be correct.
– Wolfgang Bangerth
6 hours ago