Science topic

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
  • asked a question related to Quantitative
Question
3 answers
Hello!
I am looking for a simple approach to evaluate difference in transparency of samples such as depicted below.
Thank you in advance!
Relevant answer
Answer
Eventually have I came up with the idea I can measure A600 on NanoDrop and it works just fine.
  • asked a question related to Quantitative
Question
3 answers
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.
Relevant answer
Answer
My book, Integrating Qualitative and Quantitative Methods, includes a chapter on three-stage designs, including the one you are proposing ( qual --> QUAN --> qual).
  • asked a question related to Quantitative
Question
7 answers
Dear experts,
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.
Relevant answer
Answer
Except for nominal scales, descriptive statistics on dependent variables should report measurements on central tendency (e.g., mean) and variability (e.g., standard deviation) together—in table or text. For more insights, you could go through the following reader-friendly textbook.
Morgan, G. A., Barrett, K. C., Leech, N. L., & Gloeckner, G. W. (2020). IBM SPSS for introductory statistics: Use and interpretation (6th ed.). Routledge. https://www.routledge.com/IBM-SPSS-for-Introductory-Statistics-Use-and-Interpretation-Sixth-Edition/Morgan-Barrett-Leech-Gloeckner/p/book/9781138578210
Good luck,
  • asked a question related to Quantitative
Question
5 answers
Can we use methodology from quantitative to qualitative? What kind of logic can we give in this scenario?
Relevant answer
Answer
Dr Priyanka Malik Combining qualitative and quantitative market research does not require a multi-stage procedure to be beneficial. You may simply combine the two approaches to acquire a deeper understanding of certain problems.
  • asked a question related to Quantitative
Question
1 answer
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?
Relevant answer
Answer
In general, this design would probably be summarized as qual --> QUAN --> because both of the qualitative studies are driven by the quantitative portion of the project. I don't think the link between the two qualitative studies alters this to a substantial degree.
To me, the key issue is what "motivates" the use of a method, and in this case both of the qualitative studies are motivated by the quantitative study.
  • asked a question related to Quantitative
Question
3 answers
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.
Relevant answer
Answer
As Alan F Rawle mentioned, XPS may be overweighing the Ce(3+)/Ce(4+) ratio in the top few atomic layers of the particles. The reviewer probably thinks that the preparation method exposed the particles surface to reducing agents, such as organic solvents or even air polutants (it's quite easy to reduce Ce(4+) as you know). It is also conceivable that the XPS itself causes some loss of oxygen from surface cerium - I don't claim experience in this matter and maybe someone will comment.
You can try to repeat the preparation while carefully eliminating any exposure to reducible compounds. Or, if you are confident that your preparation method is optimal, you can try to dissolve a sample of the particles and use a solution-based method of determining Ce(4+) concentration (e.g. UV-Vis, or potentiometric titration) as well as total Ce (e.g. ICP). That will give you some idea of the distribution of Ce(4+) between surface and bulk.
But first you may want to reanalyze, as Aayush Gupta suggests, before investing a lot of time in alternative methods.
  • asked a question related to Quantitative
Question
6 answers
Greetings,
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.
Relevant answer
  • asked a question related to Quantitative
Question
3 answers
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?
Relevant answer
Answer
From your description, it sounds like Spearman or Kendall correlation addresses what you want to know.
If you were going to use anova, which variable would you treat as the dependent variable ? I could see treating Additive as four groups and treating Biomarker as the dependent variable, if this makes sense. Welch's anova might be okay, or maybe use Kruskal-Wallis.
But, really, you have to decide what it is that you want to know. It appears that the location (center) of Biomarker is about the same across levels of Additive. But that the variability is lower when Additive is 0.9. Does this have any practical meaning ?
  • asked a question related to Quantitative
Question
4 answers
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?
Relevant answer
Answer
You can work with the underlying concept that the items are meant to capture, and use that as the topic for your qualitative question(s).
  • asked a question related to Quantitative
Question
3 answers
Hi,
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?
Thanks!
Relevant answer
Answer
I think the most common pitfall would be not planning in advance for integration. Too often researchers simply calculate statistics for the quantitative portion of the study and seek themes to summarize the qualitative portion, and then hope that they can "merge" the two sets of results.
I discuss some alternative approaches is this article:
  • asked a question related to Quantitative
Question
3 answers
Questionnaire
Relevant answer
Answer
It is generally not possible to predetermine sample size in qualitative research. Instead, the most common recommendation is to stop collecting data when you have reached saturation, in the sense that you are not learning anything new from your additional interviews.
Recently several authors have proposed statistical methods for predicting when saturation will occur, but in my opinion those techniques require assumptions that are not reasonable for most types of qualitative research. Instead, I would recommend looking at other qualitative studies that have pursued similar questions with similar participants to get an idea about how large their samples were.
  • asked a question related to Quantitative
Question
3 answers
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.
Relevant answer
Answer
If den entry is a two-category variable (early or late) and temperature is a continuous variable, then you can do a simple t-Test, and the same for den exit.
  • asked a question related to Quantitative
Question
1 answer
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
Relevant answer
Answer
Dear Dr. Liu Weidong,
you could try the freeware:
ImageJ / Fiji
A plugin for bone can be downloaded here:
It is for instance described in:
van ’t Hof, R.J., Rose, L., Bassonga, E., and Daroszewska, A. (2017). Open source software for semi-automated histomorphometry of bone resorption and formation parameters. Bone 99, 69–79. https://doi.org/10.1016/j.bone.2017.03.051.
A good start would probably be to familarize yourself with the nomenclature used in bone histomorphometry described in the following excellent article:
Dempster, D.W., Compston, J.E., Drezner, M.K., Glorieux, F.H., Kanis, J.A., Malluche, H., Meunier, P.J., Ott, S.M., Recker, R.R., and Parfitt, A.M. (2013). Standardized nomenclature, symbols, and units for bone histomorphometry: a 2012 update of the report of the ASBMR Histomorphometry Nomenclature Committee. J. Bone Miner. Res. 28, 2–17. https://doi.org/10.1002/jbmr.1805.
Good luck
Stefan Tangl
  • asked a question related to Quantitative
Question
12 answers
Can someone take research questions and hypotheses at the same time in case both qualitative and quantitative data will be collected?
Relevant answer
Answer
Yes. You can apply both hypotheses and research questions at the same time. But it is suitable to use in quantitative part of your research.
  • asked a question related to Quantitative
Question
7 answers
Use of questionnaires to collect basic information, mainly interviews are qualitative or quantitative?
Relevant answer
Answer
In general, a questionnaire that relied on open-ended items would be considered qualitative, but I agree that it is important to emphasize things such as interpretation and meaning as purposes in qualitative research.
  • asked a question related to Quantitative
Question
9 answers
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
Relevant answer
Answer
You could use the same "conceptual bases" for your question that were the underlying goals of the original measures. But I'm not sure what the point would be, and I certainly would not start the interviews with those kinds of pre-conceptions.
  • asked a question related to Quantitative
Question
2 answers
Besides LDH, is there any method to quantitate pyroptosis (I am using THP-1). The results from LDH are not very consistant.
Relevant answer
Answer
Jordan R. Yaron Appreciate for your answer, how about tunel assays, is it can detect pyroptosis mechanism?
  • asked a question related to Quantitative
Question
5 answers
Is it necessary to have research questions and hypotheses in a quantitative study?
Relevant answer
Answer
The research hypotheses are creating the conceptual framework based on the literature review. It is needed to answer the research questions regarding the new findings of research objectives. Accepted or rejected the research hypotheses are also new, and to answer this question, the researchers should add research hypotheses for the statistics, such as Chi-square, t-test, ANOVA, Pearson Correlation, Multiple Regression Analysis, and SEM.
Regards,
  • asked a question related to Quantitative
Question
3 answers
Can we measure practice and research it quantitatively?
How can we measure practice
Relevant answer
Answer
As Mohiadeen pointed out that it depends on conceptualization and operationalization.
  • asked a question related to Quantitative
Question
6 answers
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!
Relevant answer
Hi@Jayd Johnson,
I agree with Dr David L Morgan, the t-test is used to test the difference in viables' mean between two groups such as the difference in perceptions between males and females. Multiple regression analysis is used to test for prediction analysis, and Pearson Correlation is used to test the correlations among variables. The reliability (Cronbach's Alpha), Component analysis and descriptive analysis could be useful from SPSS. In this case, the hypotheses of the prevalence of pain are based on previous studies.
  • asked a question related to Quantitative
Question
4 answers
What is the best technique to determine the sample size for a mixed-method, e.g., quantitative, qualitative, quantitative and qualitative? Considering a mixed method is employed for a complementarity purpose?
Relevant answer
Answer
Look! I personally place benchmark s on data collection stages after which I run the appropriate model. Normally first I run the model after collecting data from 50 objects then 100 and so on. It helps you keep track of various trends in results that whether you should keep on collecting data from the area of the same etc. I keep on running model on the data until the start to emerge similar after results.
Of course there are also statistical procedures as referred by @Sunday Joseph Duntoye.
  • asked a question related to Quantitative
Question
4 answers
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.
Relevant answer
Answer
Do you want to refer to procedure B on the basis of success or failure or whatever outcome?
  • asked a question related to Quantitative
Question
4 answers
Interviews will follow the quantitative survey until data saturation is reached.
Relevant answer
Answer
The sample for the quantitative part of your mixed methods research should be large enough for an adopted statistical procedure to be applied, drawing inferences with some confidence that the sample mirrors the characteristics of the population of interest. Since you plan to use a survey for collecting quantitative data, you could utilize a sampling error calculator to help identify the appropriate sample size for your quantitative phase. Here is a recommendation.
Fernando, L. (2022, March 12). Sampling error calculator. Omni Calculator. https://www.omnicalculator.com/statistics/sampling-error
Good luck,
  • asked a question related to Quantitative
Question
3 answers
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?
Relevant answer
Answer
I suggest you give the participants an incentive or prize along with these recommendations:
1. Ask your friends who have similar audiences to post on their social media profiles as well.
2. Share the link on active Facebook groups
3.Personalize the communication with the participants
  • asked a question related to Quantitative
Question
7 answers
Hello,
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.
Relevant answer
Answer
Alexia,
This sounds to me like you have 2 datasets, one qualitative and the other quantitatative. So, I'm assuming that both datasets are on the same topic, such as the qualitative data were used to build the survey, or some other variation but are meaningful together. If my assumptions are right, then you can present both datasets together without having to change your study design. While you might be doing all things mixed methods (i.e. integration of both qual & quan datasets), there is no need to declare it as one.
I'm also making the assumption that your question was about presentation of findings (based on your question) and not really trying to transform qualitative into quantiative. Therefore, I'm imagining a table of findings such as:
Themes || Low || Moderate ||High
Knowledge Quan % Quan % Quan %
Vignettes Vignettes Vignettes
* You can also consider including the qual numbers for each column also.
Of course, pure assumptions. Hope this was helpful.
  • asked a question related to Quantitative
Question
4 answers
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
  • asked a question related to Quantitative
Question
5 answers
Qualitative and quantitative
Relevant answer
Answer
I recommend using GC-MS for the analysis of low polarity extracts and Ultra-Performance Liquid Chromatography Electrospray Ionization Tandem Mass Spectrometry (UPLC-ESI-MS/MS) for the analysis of crude extracts. However, for the analysis of more complex or unpublished phytochemicals, I recommend the use of chromatographic techniques for the separation and purification of these components, followed by 1D and 2D NMR analysis.
  • asked a question related to Quantitative
Question
4 answers
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?
Relevant answer
Answer
You should create several columns if there is no ranking relationship between variables with only 0 and 1. For example, if you have three category A,B and C, in two columns A will be 0-0, B - 0-1 and C - 1-0. If qualitive variables contain some kind of ranking, just sort and use numbers.
  • asked a question related to Quantitative
Question
3 answers
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.
Relevant answer
Answer
First, I suggest you contact Shimadzu about this. They have experts who can answer all your software questions. I'm not sure I understand what you need, but if you are using LabSolutions software you can select the m/z in the fragment table you want to display and integrate. This can be part of your quantitative method also, in the peak table you specify the m/z or TIC for integration.
  • asked a question related to Quantitative
Question
1 answer
Hi guys,
Looking for the major antinutritional parameters of edible or semi-edible food sources. Please suggest colorimetric and quantitative methods to analyze such parameters.
With regards.
Relevant answer
Answer
Bipul Das Chowdhury Saponins, tannins, phytic acid, gossypol, lectins, protease inhibitors, amylase inhibitors, and goitrogens are major antinutritional agents present in edible crops. Because of lower nutrient bioavailability, anti-nutritional agents interact with nutrients.
  • asked a question related to Quantitative
Question
11 answers
Data is collected from 2 Sources:
1.Source A
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 ?
Relevant answer
Answer
Reliability is a property of the data you collect, rather than the source of the data -- although the nature of the source can affect how reliable the data is.
The reliability of data of data often thought of in either of two ways. The first is test-retest reliability, so that measuring the same variable twice produce similar results each time. The second is the degree of random error, because rand om error can correlate with anything, so the more random error a measurement contains, the less reliable it is.
  • asked a question related to Quantitative
Question
5 answers
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?
Relevant answer
Answer
You may carry out immunocytochemical (ICC) staining of HER2 receptor as the expression of this receptor in the cell lines that you have by constructing a CMA (cell microarray) containing the breast cancer cell lines with the goal of rapidly screening for antigen of interest (HER2) in a relatively easy, rapid and cost-effective manner.
Please refer to the research article attached below. See Materials and Methods on Page 1598 for the protocol.
Best.
  • asked a question related to Quantitative
Question
4 answers
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.
Relevant answer
Answer
Can you say more about what you mean when you say you are "using just frequency software to triangulate qualitative findings?" In particular, what is the source of your frequencies, and how are you comparing them to your qualitative findings?
  • asked a question related to Quantitative
Question
4 answers
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.
THANKS ALREADY
Relevant answer
The small sample size (n=30) is more appropriate for the reliability testing of the instrument (pre-testing) and may not be suitable for inferential statistics to explain in general for prediction analysis. However, comparing between pre-test and post-test or t-tests for a two-group design is possible.
  • asked a question related to Quantitative
Question
2 answers
Hello,
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?
Thank You
AHmed
Relevant answer
Answer
Perhaps you could use longitudinal path and/or cross-lagged panel analysis to address this question. Both are generalized (multivariate) regression types of analyses that allow you to analyze multiple independent and dependent variables as well as multiple time points in a single statistical model.
  • asked a question related to Quantitative
Question
4 answers
What quantitative index/indices should be used when measuring biodiversity of Urban Spontaneous Vegetation (USV)?
Relevant answer
Answer
You can go for Community structure Analysis, but stress can give you better result
  • asked a question related to Quantitative
Question
2 answers
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.
Relevant answer
Answer
BAU is the unit of antibody related micro biology count per ml and it already in count per mL popular in Covid-19 period and international standard base.
e.g.
2,000 BAU/mL is highly predictive of strong MNT response in vaccinated individuals.
  • asked a question related to Quantitative
Question
2 answers
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?
Relevant answer
Answer
Моделирование трещиноватости: практикум по DFN в Petrel 2016-2019: А. А. Козяев, Р. М. Щуковский, К. Е. Закревский: [под редакцией К. Е. Закревского].
  • asked a question related to Quantitative
Question
5 answers
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
  • asked a question related to Quantitative
Question
4 answers
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.
Relevant answer
Answer
Oksana Buturlina I am looking for empirical studies on physical education in special education.
  • asked a question related to Quantitative
Question
8 answers
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?
Relevant answer
Answer
i think that a methods that asses the total protein will be not accute since the media itself due to the presence of FBS will be already rich of proteins and your protein will represent only a small % of the total protein and will be confused in he high background.
YOu have 2 possibilities:
1) If you protein, is a recombinant protein which contain a tag for affinity purifications, you can perform a small scale purification of a fraction of the surnatant and quantify the protein after purification
2) If a specific monoclonal antibody able to bind the protein is commercially available you can try to quantify it by several approaches as:
- BLI
- ELISA
- WB
but to perform absolute quantfication with thos approaches you need to built a calibration line with a purified protein sample.
good luck
ciao
Manuele
  • asked a question related to Quantitative
Question
6 answers
That is I carried out qualitative and quantitative phytochemical analysis.
Relevant answer
Answer
What do you mean by qualitative,
  • asked a question related to Quantitative
Question
3 answers
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.
Relevant answer
Answer
- atendiendo a los resultados obtenidos y el clima que se ha desarrollado en el equipo en el proceso de trabajo.
- evaluando el nivel de asunción de la cultural organizacional y la implicación en las tareas.
- analizando la ayuda y colaboración con el resto del equipo.
Puede ser a través de la observación, preguntas frecuentes al resto del equipo y a propio colaborador, con escalas de valoración sobre satisfacción, cohesión grupal, trabajo en equipo, comunicación, relaciones interpersonales. Técnicas proyectivas en general.
saludos, espero que le sea útil
  • asked a question related to Quantitative
Question
5 answers
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!
Relevant answer
Answer
Its worth clarifying what you mean by "no significant correlation between the increase in the collection of a certain tax and the increase in spending on education." You can set up an appropriate significance test and this tells you whether you have detected a relationship in your data set or not. However not finding a relationship doesn't mean there isn't one. The effect may be too small to detect with your data for example. One option might be an equivalence test where you specify the smallest effect size of interest.
A second issue is that the data points aren't likely to be independent over time so you'd need to account for this in your model. A third challenge is to find the right level of aggregation. If as Marcio Lins suggested the tax rate and spend varies at a local level then aggregating the data at a higher regional or national level may cause problems. In particular its possible that spend locally might be related to tax but this effect disappears or reverses when aggregated to a regional/national level (or vice versa).
  • asked a question related to Quantitative
Question
14 answers
Hi, all😊,
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.
*UPDATE:
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
Relevant answer
Answer
I am on same page with Thaís Debli Libardoni , Raimo Kaasila and Kailash Jandu .
From the questionnaire for quantitative study one may get certain aspects to work on for qualitative analysis like perception study on the basis of likert scale method. Grounded theory can also be used which sets out to discover or construct theory from data, systematically obtained and analyzed using comparative analysis.
But to go for a mixed method research design, having more open-ended questions, in-depth interviews and case-study methods will be better for conducting triangulation, construction of behavioral maps etc.
  • asked a question related to Quantitative
Question
9 answers
I am planning to do a questionnaire study. My variables are
students performance(Y)
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
Relevant answer
Answer
I think you need to settle down on a design and approach. I am very sure that whatever approach you decide to take, there will always be a statistical remedy. Let me know what you are settling for, then I can advise on the statistical analysis to make. Answer the following questions to enable me to understand the direction of the work.
1. Are you using GPA for students performance?
2. Are you using teachers to rate themselves or will students provide teachers' performance rating
3. Are there specific objectives your study seek to achieve?
All these questions should be answered, and if 'yes' to question 3, then we may need to see some of them.
  • asked a question related to Quantitative
Question
3 answers
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?
Thank you,
Relevant answer
Answer
Yes, you can, by opting for two steps PCR (using random hexamers for reverse transcription "RT" then PCR) or for one-step PCR (using the same specified primers for RT and PCR).
  • asked a question related to Quantitative
Question
1 answer
i wanted to use both quantitative and qualitative data in conducting ex post facto research
Relevant answer
Answer
Being pragmatic is governed by practicality, i.e., collecting data using approaches that best address the research question(s). In ex post facto research (i.e., after-the-fact investigation), used when controlling the treatment variable is infeasible or unacceptable, a pragmatic sequential mixed methods design (Mertens, 2019) could come in handy. In particular, you might consider the exploratory sequential mixed methods design (Creswell & Plano Clark, 2018), in which the qualitative stage is the basis for the quantitative stage. You could go through the study by Killian and Wilkins (2009) to grasp how they implemented the sequential design in their ex post facto study. Full citations are as follows.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rded.). SAGE Publications. https://us.sagepub.com/en-us/nam/designing-and-conducting-mixed-methods-research/book241842
Killian, J. E., & Wilkins, E. A. (2009). Characteristics of highly effective cooperating teachers: A study of their backgrounds and preparation. Action in Teacher Education, 30(4), 67–83. https://doi.org/10.1080/01626620.2009.10734453
Mertens, D. M. (2019). Research and evaluation in education and psychology: Integrating diversity with quantitative, qualitative, and mixed methods (5th ed.). SAGE Publications. https://us.sagepub.com/en-us/nam/research-and-evaluation-in-education-and-psychology/book259357
Good luck,
  • asked a question related to Quantitative
Question
3 answers
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
Relevant answer
Answer
Thank for this interested question
  • asked a question related to Quantitative
Question
10 answers
The data i intend to collect is quantitative.
The 3-POINT Likert scale I intend To use is 'Agree, Neutral and Disagree"
Relevant answer
Answer
Thanks, Mohialdeen Alotumi , for that interesting reference, which is posted on RG for those who don't have institutional access…
  • asked a question related to Quantitative
Question
1 answer
Is there any relevance of quantitative ethnobotanical indices in Traditional Ecological Knelwdge of marine resources
Relevant answer
Answer
Biodiversity is both the number of species and their abundance. That is fundamental to ecology in any discipline. Can you provide a little more detail to the question?
  • asked a question related to Quantitative
Question
10 answers
How can we quantitatively analyze the values of phases in a material by conventional instrumental analysis methods?
Relevant answer
Answer
Many of the methods can be used for both qualitative and quantitative analysis. The major categories of instrumental methods are the spectral, electroanalytical, and separatory.
so it depends on your samples types
  • asked a question related to Quantitative
Question
9 answers
Key metrics are citation numbers, promotion and rank of users of the applicable research methods.
Relevant answer
Answer
I think that higher ranked journals do favor quantitative articles, for two reasons. One is that these articles are more likely to engage in theory testing around the "big issues" in a field. In contrast, qualitative articles are more likely to be exploratory and to generate hypotheses rather than test theories.
In addition, quantitative researchers are more likely to be the recipients of external research funds, which again makes them more likely to produce "big studies." In contrast, qualitative studies tend to be smaller and to use a more targeted basis for data collection.
Mixed methods fall somewhere in the middle, but two of the most prominent designs, sequential exploratory (qual --> QUAN) and sequential explanatory (QUAN --> qual) are driven by quantitative methods.
But as a sociologist, I see these as historical and structural issues, rather than anything related to the merits of the different methods. Different methods serve different purposes, and I think researchers should always begin with a careful consideration of the purposes they want to pursue -- and this is particularly important for new researchers, who are considering they kinds of goals that they want to pursue throughout their career.
  • asked a question related to Quantitative
Question
3 answers
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?
Relevant answer
Answer
Likert scored items are form of quantitative measure that use a response format such as Strongly Disagree to Strongly Agree. For a scale you need to test whether those items all measure the same thing (i.e., high reliability), and if so you can add the items together.
All of this requires that you have a set of survey questions that correspond to your Theoretical Framework of Acceptance.
  • asked a question related to Quantitative
Question
4 answers
What other useful parameters and properties can be quantitatively plotted and/or derived from a given CV data and a give EIS data?
Relevant answer
Answer
In order to characterize electrochemical electrodes and cells electrically one needs to measure their I-V characteristics upon scanning the applied voltage in forward and reverse direction in acyclic manner. By analyzing these curves one can information about the charge transfer processes at the electrolyte electrode interface.
The EIS the electrochemical impedance spectroscopy where one one biases the device electrode at certain DC bias and then measure the complex impedance of the electrode. One gets from these complex impedance plots the conductive and the capacitive components of the current transfer across the interface and speed of such transfer.
There is also similar characterization to the semicondcutor devices such as the p-n junctions.
For such analogy please see the presentation in the link:
Best wishes
  • asked a question related to Quantitative
Question
4 answers
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.
Relevant answer
Answer
Ask your PhD adviser and/or your committee (depending on where you are doing this). Responses from people from different universities (and different countries) on ResearchGate may not be appropriate.
  • asked a question related to Quantitative
Question
6 answers
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.
Relevant answer
Answer
Looks like an analysis of variance using the occlusal class as the category.
  • asked a question related to Quantitative
Question
5 answers
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.
Thank you!
Relevant answer
Answer
Dear Noud,
As to the unique contributions of your independent variables in predicting your DV the semipartial correlations give the clearest answer (not the zero-order correlations, not the partial correlations and neither the standarized beta weights). Semipartial correlations (symbolized by ' sr ') when squared, indicate the amount by which Rsq would be reduced if an IV were omitted from the equation . In SPSS regression analysis output the semipartial correlations are labeled PART COR. Please take a look at for instance Tabachnik & Fidell "Using Multivariate Statistics" (latest edition 2014, but earlier editions too, cover this matter well).
  • asked a question related to Quantitative
Question
3 answers
This will help a large community of teachers.
Relevant answer
Answer
Speed breakers should be made according to specific requirements of the area.
  • asked a question related to Quantitative
Question
3 answers
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.
Relevant answer
Answer
I want to believe that the discussion raised seeks to emphasize the need for erecting precise criteria to serve as marker units or stratigraphic horizons based on the abundance of complete absence of certain taxa; and therefore find usefulness in regional correlation schemes. Such criteria should be based on peculiarity of the tools used, if they are fossils markers, are they having the characteristics of guide fossils; if they are geochemical marker, could they be tied to known global geochemical perturbations eg the layer of iridium across the K-T boundary, suggests some control to the hypothesis of the extraterrestrial asteroid impact on the earth that led to the demise of the dinosaurs, etc. I suspect discussions along these lines and their suitability for application is the intent of this discussion raised.
  • asked a question related to Quantitative
Question
4 answers
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.
Thank you
Relevant answer
Answer
A good free source is: Bhattacherjee, A. 2012. Social Science Research: Principles, Methods, and Practices. USF Tampa Bay: Florida. http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1002&context=oa_textbooks
  • asked a question related to Quantitative
Question
3 answers
I am looking for recent studies (in recent five years) on urban governance in China, especially quantitative studies. I will greatly appreciate it if someone could provide some bibliographic information.
  • asked a question related to Quantitative
Question
4 answers
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.
Relevant answer
Answer
You might also measure the Ca in solution, and with some luck the ratios of the stable Ca isotopes may provide a clue.
  • asked a question related to Quantitative
Question
3 answers
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.
Relevant answer
Answer
If you are thinking of doing a cross sectional and then another sub set analysis, you might need to think of how many respondents you can get. The more independent variables are included in your model the more respondents you will require....
  • asked a question related to Quantitative
Question
6 answers
Given the finite nature of human language capacity, what do you think of quantitative limits to multilingualism?
Relevant answer
Answer
Valerie Saunders and Wolfgang R. Dick many thanks for your input. I think you are right, and there exist hyperpolyglots, but they ARE few in number. What I believe in is that language exposure is one of the most intense cognitive training regimes one can go through. As a result, multilingualism can induce profound neural changes or “neuroplasticity” (Costa and Sebastián-Gallés, 2014) . Obviously, learning a new language in adulthood can change your brain. What remains unclear is the scope of such neuroplasticity, or in other words, what are the limits to language acquisition and how you can push them?
I will ask you more questions, if you don`t mind. How many languages do you speak? And how do you “encourage” your brain to make further progress?
  • asked a question related to Quantitative
Question
11 answers
Hello,
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!
Relevant answer
Answer
Thank you Prof. Ines Carvalho then the way forward is to use the quotes as supplementing the quantitative results. Hope this helpful.
  • asked a question related to Quantitative
Question
4 answers
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.
Relevant answer
Answer
Purposive sampling is an appropriate type of sampling in particular circumstances. It picks instances based on expert opinion or with a specific goal in mind. Purposive sampling is most commonly utilized when measuring a difficult-to-reach population.
Purposive sampling is used by researchers when they wish to reach a certain group of people, as all survey participants are chosen because they meet a specific profile.
Best Regards
Dr. Fatemeh Khozaei
  • asked a question related to Quantitative
Question
14 answers
How to analyze the colocalization of two probes using Image J ? The colocalization plugins are not working properly for me. Requesting help in this regard. Inspite of just merging the channels how to quantitatively analyze the localization?
Relevant answer
Answer
Also see the following link: https://svi.nl/ColocalizationBasics
  • asked a question related to Quantitative
Question
3 answers
hello every one
I have an independent quantitative variable and two dependent quantitative variables is MANCOVA suitable for quantitative analysis in this case?
Relevant answer
Answer
Hello Fatima,
You most likely can use man(c)ova or multivariate regression, but the real key hinges on your specific research question(s), and whether you have other IVs beyond the lone one you mention. If the only IV is quantitative, it likely makes more sense to think about multivariate regression.
Good luck with your work.
  • asked a question related to Quantitative
Question
9 answers
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
Relevant answer
Answer
Just to add to Jérémie Richard's answer, beginning with a smaller qualitative study to develop a larger quantitative study is known as an exploratory sequential design (qual --> QUAN), while using a smaller qualitative study to follow up on quantitative results is known as an explanatory sequential design (QUAN --> qual).
The best knows textbook on mixed methods is undoubtedly Creswell and Plano-Clark, 2017 (3rd edition).
  • asked a question related to Quantitative
Question
3 answers
what external and internal standards can be used for quantitative determination of PHB (or PHB yield) while using GC-MS??
Relevant answer
  • asked a question related to Quantitative
Question
3 answers
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
Relevant answer
Answer
Specimen type: β-hydroxybutyrate levels can be measured in serum. Point-of-care devices that can measure β-hydroxybutyrate levels in a single drop of blood within 30 seconds have been developed Sudhakar Goud Karpurapu
  • asked a question related to Quantitative
Question
10 answers
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?
Relevant answer
Answer
Mosharop Hossian Thank you for your response, I will look into it in detail.
  • asked a question related to Quantitative
Question
9 answers
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
Relevant answer
Answer
You certainly can use probability sampling to produce a sample for qualitative research. The problem is that this kind of sampling usually needs to produce large Ns if you are going to use it for quantitative work, but it is difficult to do qualitative analysis on large samples.
  • asked a question related to Quantitative
Question
6 answers
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?
Relevant answer
Answer
I am not sure do you mean a regression equation? y = b0 + b1*x + e?
  • asked a question related to Quantitative
Question
8 answers
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?
Relevant answer
Answer
You may acidify the sample, strip out the H2S before COD measurement by open reflux.