Quantitative - Science topic
The term quantitative refers to a type of information based in quantities or else quantifiable data (objective properties) —as opposed to qualitative information which deals with apparent qualities (subjective properties). It may also refer to mass, time, or productivity.
Questions related to Quantitative
I am looking for a simple approach to evaluate difference in transparency of samples such as depicted below.
Thank you in advance!
When studying complex problems using a mixed-methods research design, the exploratory sequential design is most adequate for research questions where little previous knowledge exists, using qualitative interviews followed by the construction of the quantitative instrument / questionnaire which then is applied to a larger group.
My question is if it is licit to do follow-up in-depth interviews (after the quantitative phase) within the same research project, if anybody has experience with a similar approach, or can suggest bibliography on the question.
I am writing a research paper using quantitative descriptive survey design. That means I have my standard deviation to be reported in my research result section. However, I find that it can be confusing when it comes to standard deviation and mean score. I mean, I indeed analyse my mean score along this way, but how about my standard deviation? should I left it there or...???
Thank u for ur time.
Can we use methodology from quantitative to qualitative? What kind of logic can we give in this scenario?
Mixed methods approach: the initial qualitative findings were used to build an intervention, from which I collected quantitative results (seq exploratory). The last qualitative strand was used to expand on quantitative findings (seq explanatory) but interview questions have also been informed by the initial QUAL findings.
QUAL -> QUAN -> QUAL
Is there a particular nomenclature to this approach whereby qualitative findings inform future qualitative interview question design?
We have prepared 20mol%Sm doped ceria. From quantitative XPS analysis, have found 79% Ce3+ concentration and 21% Ce4+. The reviewer pointed out the high concentration of Ce3+ is surprising as ionic compensation is predominant. Also, reviewer also asked about the influence of powder preparation in the final oxidation state? Please suggest suitable reply.
Kindly I'm asking if it is possible to detect:
1. What on the surfaces of antibodies (I mean nanoparticles).
2. Quantitative detection of nanoparticles on the surface of cells or exactly on the channel of human cells?
Please accept my best regards.
I would like to assess the relationship between one quantitative variable (blood biomarker) and one ordinal variable (fodd additive) but with non proportional gaps between elements, i.e. 4 categories with the following values: 0.1, 0.33, 0.4, 0.9 (values are increasing but gaps are not proportional between elements). The attached picture shows what it looks like when I plot them.
Which statistical method should I use to assess the relationship between both variables? I want to know e.g. if the biomarker increases when the additive increases too or the other way round. Should I treat the additive as a quantitative or qualitative ordinal variable? Looking at the plot ordinal would seem better to me. I thought of Spearman's rank correlation of Kendall's rank correlation. Would these tests be appropriate? Or should I use ANOVA?
I am using self-determination theory as the theoretical foundation for my study of job satisfaction. I have found great instruments used to measure these concepts quantitatively. Does anyone have suggestions for turning some of the items into qualitative interview questions?
I am exploring the role of emotions in qualitative interview data (affective-discursive method) and in survey data around certain topic. Coming from different paradigms, how to best formulate the theoretical framework and integrate the results? What are the common pitfalls? Any other tips?
I am currently working on my MSc research project and have come to a blockade with the statistical analysis. I am looking to see if temperature has an effect on denning chronology (i.e do higher november/december temperatures result in later den entry) and my variables are den entry/exit dates (qualitative) and temperature (quantitative). The data is non-parametric and I am unsure which statistical test to do to determine if there is a relationship. Any help would be greatly appreciated.
How could i get the Quantitative bone histomorphometric results?
- I've been puzzled about how to get the Quantitative bone histomorphometric results,such as number of osteoblasts (N.Ob),number of osteoblasts per bone perimeter (N.Ob/B. Pm) ( and osteoblast surface per bone surface (Ob.S/BS).
- Do you have any good suggestions ？Thanks
I am doing my disseration on workplace mentorship for millennials in Hong Kong. A very under-studied tpoic. It is a qualitative in-depth interview study focusing on mentor perspectives. Want to ask if measurement scales like GMMP, MFS, MCA etc are applicable only to quantitative survey questionnaire? If and how can I use exiting Quan scales to build my interview questions for 1-on-1 interviews with participants ? Or is it simply not suitable approach to apply QUAN scales to QUAL studies? Thank you very much
My survey study is going to be collecting quantitative data and is looking at the prevalence of pain within a specific population group. There is no intervention and no control group, I will just be gathering the data from an online survey and then presenting the findings. I haven't used SPSS for years and I can't work out what kind of parametric tests I will need to do...could anyone help me with this please?
I am thinking t-test to compare those who have reported pain compared to those who have not and then see if there is a significant difference but I am not sure if this is correct?
Thank you in advance!
Assume a cancer patient that has just received a specific procedure A. Is it possible to know the probability to be referred to a following procedure B? Like in a network of procedures?
I have found some characterization studies for specific cancer populations of patients, but I'm looking for a more quantitative and modelling approach.
Interviews will follow the quantitative survey until data saturation is reached.
My questionnaire was distributed via online through the SABPP, to a target population of over 8000 members. After a week I only received 17 responses. The questionnaire link was placed on Instagram and Twitter, which increase the responses to a total of 25. What can I do?
I am conducting a qualitative study with semi structured interviews (N=10), and the method of analysis is thematic analysis. In my questionnaire, I included 3 dichotomous questions related to participants' knowledge, education and experience. I would like to present the data on a likert scale. Could that be possible? Preferably, I would not like to change my method to a mixed method analysis.
Thank you very much.
Hey I really need a help
Can anyone share with me a quantitative study already done by someone related to this topic The impact of workplace motivation, organization culture, training effectiveness on employers’ performance in public sector because actually I'm doing this topic so my study is quantitative I have to look for some question and ask people about it Thank you for you help what kind of question should I ask about
I have qualitative data for my research which are in qualitative format like ratings AAA,AA,A,BBB,BB,B,CCC,CC,C.
How can I convert these qualitative numbers into quantitative ones to include it in a regression model? I probably can not use the dummy variable method as it can only have to numbers either 0 or 1. In my scenario, I have more than two factors.
Could anyone please assist to convert qualitative data into a quantitative one?
Using a shimadzu GCMS I want to integrate my MICs. It is insisted to me by my more experienced colleagues, that this is impossible. Under the quantitative menu dropdown that is correct, it only integrates the TIC. But if I use the qualitative dropdown I can integrate quite happily. I am far from a GC expert so before I bring it up with those people telling me its impossible, I wanted to check that I'm not missing something. Is there a difference between qualitative and quantitative integration? Surely and area is an area is an area, no? If anyone can offer any explanation why its possible in qualitative but not in quantitative, I would be very grateful.
Data is collected from 2 Sources:
2 Source B
For Source A, Data on the topic~subject is collected over a very long period of time on an individual.For Source B,Data on the topic~subject is collected over a relatively brief period on Millions of people.
1.What is or shall be the Principles for Quantitative Determinations of the Reliabilty of Data collected from Source A and Source B?
2.How does one assess and evaluate the Authenticity of the Principles in 1 ?
I am now conducting research on HER2-positive and HER2-negative breast cancer cell lines. I'm looking to confirm the overexpression of HER2 receptors in HER2-positive cells versus HER2-negative cells. Could you possibly assist me in determining how I may accomplish this either quantitatively or qualitatively?
I mean this exploratory design requires developing an instrument in the light of qualitative findings and then collect quantitative data for quantitative analysis. But I am using a design where I am using just frequency software to triangulate qualitative findings. Please share a reference if this design is called QUAL→quan.
I am conduction an exploratory sequential design study, and the students in the experiment are 30. Can I conduct a questionnaire to the same students as a quantitative instrument THOUGH THE NUMBER IS NOT THAT BIG AS A QUANTITATIVE STUDY.
I have a question for you please.
to answer this scientific question: does the variation of cytokine levels (Il6) have an impact on the clinical score over time? we have the cytokine levels (quantitative variable), the clinical score (quantitative variable), and the measurements were done in 3 different times (v1, v2, v3)
Can you tell us which statistical test is adequate for this type of analysis?
What quantitative index/indices should be used when measuring biodiversity of Urban Spontaneous Vegetation (USV)?
My query is about Human SARS-CoV-2 Spike (trimer) IgG ELISA Kit, Company -Invitrogen cat. no-BMS2325.
It was used to analyze the anti-spike trimer protein quantitatively. In one of the paper AU/ul is converted into Binding antibody unit (BAU).We'd like to know how to convert unit/ml to BAU.
How can you estimate fracturing? What coefficients can be used for this?
We have an array of data fractures of different genetic type, laid mainly in sulfate rocks, sulfate-carbonate massif.
All the fractures are already graphically mapped in AutoCad and ArcGis.
How can we qualitatively or quantitatively estimate these fractures? What fracturing assessment methods are available?
How can the assessment of fracturing be translated to the stability of the massif itself?
Human activities have deep and long-lasting influences on many colonial nesting waterbirds. For example, herons are known to change their behaviors and daily activity (https://www.fs.fed.us/nrs/pubs/jrnl/2007/nrs_2007_fernandez-juricic_001.pdf) when disturbed by human recreationists and visitors. Fish regurgitation by nestlings and defecation may also be part of the anti-predatory behaviors exhibited by herons in the presence of researching personnels (Dr. Chip Weseloh, personal communication). Quantitative studies seem to be in lack regarding behavior responses of herons towards human visitation disturbance. Can anyone provide useful links to the works that deal with this issue please? Many thanks
I am looking for empirical studies (qualitative and/or quantitative) in PE lessons in special school. I have hardly found any studies so far, and they are mostly very old.
I am trying to purify some secreted protein in culture medium containing 10% FBS. But I need to know what is the amount of protein in the medium to do this. I will be using the Bradford Assay for the quantitation. However, I am afraid that the FBS may make it difficult to quantitate. I would like to know if it will be a problem?
That is I carried out qualitative and quantitative phytochemical analysis.
I have a challenge and that is how to evaluate the developer onboarding process in agile teams and which criteria and KPIs must be used in this evaluation.
I have annual data for the last 10 years on municipal revenues and expenditures for all Brazilian municipalities. My idea would be, for example, to show that there is no significant correlation between the increase in the collection of a certain tax and the increase in spending on education.
- Do I need to make a linear regression model even if I have no interest in predicting the future value of one of the variables?
- Would a simple dot plot containing the data for all these years be enough to prove it? (in which the axes would have the two variables analyzed).
- Can I include the values for all years on the same chart and deflate them so that there are no distortions due to rising prices? (there would be no distortions in the correlation itself, but in the position of the points)
Thanks in advance!
I'm currently writing the interview questions for my qualitative dissertation. I have a questionnaire (a valid one) drawn from a quantitative study I used for literature reviewing the topic. So just wondering, is it ok to use quantitative questions for qualitative studies? Has there been any example of that?
I've been doing research on the feasibility of it but looks like that all articles that talk about qualitative interview questions are about wording, how it should reflect research goal blah blah blah. Not sure if it's against or not against research convention.
I appreciate all your answers! Guess I didn't make it clear, I was debating on creating interview questions based on quantitative questions, like alter them into an open-ended format, not directly using them for the interview.
Some key takeaways from the responses are:
1. Open vs. close ended questions on qualitative research depth
2. It's all about the design of the questions
3. My personal assumption: interview questions could be inspired by quant. questions as long as they fit the requirements of qual. questions
I am planning to do a questionnaire study. My variables are
university performance (X)
lecturers contribution (Moderator)
1. For collecting lecturer contribution, my sample population are lecturers.
2. For collecting university performance, my sample population is university administration staff
3. For collecting students performance, my sample population are both lecturers and university administration staff
Please tell me should I design two separate questionnaires in one study. What can be the best way of designing this or these questionnaires? Please refer me to any research articles.
Thank you very much for your cooperation
I am working with a really low amount of RNA samples (5-10ng) and I was looking for a way to amplify these samples before running RT-PCR. I do not care for quantitative results, just if I could detect a marker or not. I looked into the Tagman preAmp kits and they are quite expensive. Is there a way to do this yourself?
Hello, what equation can you suggest to convert the absorbance reading on the spectrophotometer gotten from the quantitative estimation of bioethanol via acidified dichromate method to g/L
The data i intend to collect is quantitative.
The 3-POINT Likert scale I intend To use is 'Agree, Neutral and Disagree"
Key metrics are citation numbers, promotion and rank of users of the applicable research methods.
I will conduct a mixed-methods qualitative study (semi-structured interview). The second quantitative study will be a survey (descriptive study) to determine whether the intervention is acceptable.
I would like to know how I can use (TFA) in my research.
I have difficulty distinguishing between (The Likert scale) and the Theoretical Framework of Acceptability (TFA). Where is the difference, when should I use it, and which one can help me in the quantitative study?
I'm a PhD student working on a mixed-methods research project for my thesis, with the first phase being quantitative and the second being qualitative. Then, as intended, I'll undertake the intervention phase as the third phase. However, the submission date is approaching, and I will not be able to complete the third phase. Now I have finished both phases and now in the fourth year. My issue is whether I may make changes to my thesis and remove the third phase while remaining in the first and second phases, which is allowed for PhD students.
Hi everyone. I am a student who would need help identifying a suitable static test for my dissertation work. In practice, I should go to evaluate if there is a statistically significant correlation between two parameters. One is a nominal qualitative parameter, specifically the occlusal class(I°,II°,III° class), while the other is quantitative.
I was unable to find adequate statistical tests for this correlation.
I thank those who will answer me.
Hi! I am doing a quantitative study on the impact of aspects of online reviews on purchase intention. I have conducted a survey, which resulted in a valid sample of 180. This measured 4 concepts as independent variables (predictors), and 1 dependent variable (purchase intention), all using validated measures and a 5-point Likert scale for all questions.
I have calculated both the Pearson's correlation coefficient and the standardized beta coefficient using a multiple regression analysis. They are similar, but give a slightly different ranking for the 4 predictors.
Can someone tell me why they result in different rankings, and perhaps which analysis to use primarily (or even to remove one)? I currently do not know if SCRAVG or VALAVG has more impact on PURAVG.
The goal of the study is to identify which aspect is most important for reviews in order to have a high purchase intention.
A good number of Palaeocene-Eocene LBF taxa are reported mostly from the East-Coast sedimentary basins as well as Rajasthan Basins in India. Many of these genera / species have considerable index marker value in the stratigraphy and need to be defined on precise quantitative criteria in order to limit their morphological variation, thus making them more useful for finer stratigraphy. This will also open-up understanding their phylogenetic relationship through geological time. Initially genera like Laffetina, Lockhartia, Sakesaria, Ranikothalia and others may be taken up for the studies.
I am seeking a very good free online source for 'Research Methods' please (for qualitative and quantitative). Your assistance in finding out such a source would be greatly appreciated.
I'm working on isolation of bacteria that can dissolve calcium carbonate.
The isolated bacteria produced a zone of clearance in agar plate containing CaCO3 (indicating the dissolution).
I'm looking for a simple method to do the same (but quantitatively) in broth.
PS: CaCO3 doesn't dissolve in water/medium, hence settles down.
I will use a survey in 3 settings ( A.B.C) in one city. Setting A is holding the National training programme in the country.
I find that the program was changed according to the needs of staff in each setting(B,C), but in setting A, it has branches around the country that used the same national training programme and applied it in another region in the country with no changes. So the national training program is the same in one setting in my study setting but modified in the other settings in the same city( setting B, C).
I am still waiting for the ethics committee approval in setting C, but I got the approval from A, which I can request amendment and collect the data from the settings using the same national program in different regions. Do you think an excellent chance to have a great study collecting the data from the setting that used the national programme in different regions or collecting the data from one city in different settings that provide the modified training in different objectives?
I hope to hear your suggestions.
Given the finite nature of human language capacity, what do you think of quantitative limits to multilingualism?
I am writing a quantitative paper with some colleagues based on cluster analysis. The questionnaire had two open-ended questions and some of the quotes left by participants capture really well the "spirit" of each cluster.
However, I am not sure how to write about this in the methodology section, because it's not as if we've done a thematic or content analysis of all the quotes (well, we could do that, though our focus in the paper really is the quantitative part). Any ideas of we should frame this use of quotes in the methodology section? Should we just write that we included some quotes to better illustrate each cluster? Or would that not be acceptable in a top-tier tourism journal? Thank you in advance!
We are currently doing correlational research (quantitative) about the gaming habits and academic performance of grade 6 pupils in just one school, that only consists of 150 grade 6 pupils. And we estimated that out of 150 only 35 pupils are only playing online games. Originally our research is about qualitative research. But our panelists suggested that we better conduct quantitative research.
We are not good at conducting quantitative research.
The combination of mixed method research and the specific order of whether to go qualitative first followed with quantitative vice versa and the reasoning needs a clear explanation
commercial ELISA kits for estimation of beta hydroxybutyric acid (BHB) cost approx. Rs.50000/- which is very costly. Is there any alternative method for quantitative determination of BHB in blood/ urine/ milk
I have found 5 point Likert scale items for my mediator and 3 of my IVs, while I am unable to find 5-point Likert scale items for my DV and one IV. Can I change the scale from 7-point to 5-point if I am unable to find the same scale for my DV and one of my IVs?
Is there any particular technique to convert the scale from 7-point to 5-point? Does it require any rationale/logic?
Can I extract quantitative and qualitative data from a probability sampling? By using multistage sampling, including first stratified sampling, then systematic sampling?
Translation corpus based research
If for example, I have a large enough dataset with multiple input variables and one target. But it is unknown whether the input variable(s) are correlated with the target or not. Is there any way to quantitatively analyze if the target has a correlation with the input variable(s) only from the data points?
For example, I have three independent variables x,y, and z. And dependent variable (target) is r. Here for the purpose of demonstration, the (x,y) is known to be (m*cos(m)/c,m*sin(m)/c). This is a function of a spiral in a 2D space, where the m is an array of points and c is a constant. (Figure is attached) The target variable r is the distance of the (x,y) points from the origin (0,0) in the 2D cartesian space.
The independent variable z is said to have uniform random values and has no relation with the target variable r.
The values of the Pearson's r for an independent variable and the target are found to be
r_x,r = 0.03250883308649153
r_y,r = -0.10980064148604964
r_z,r = -0.17896621141606622
Now to be specific, my question becomes is there any quantitative way to observe that the x and y variables together have a correlation to the target variable, and variable z has no correlation with the target r?
Our water sample contains organics and sulfide S2-, is there a way to quantitatively measure the organics content in general avoiding the interference of H2S? e.g. TOC/COD?