Science method

# Quantitative Analysis - Science method

In chemistry, quantitative analysis is the determination of the absolute or relative abundance (often expressed as a concentration) of one, several or all particular substance(s) present in a sample.

Questions related to Quantitative Analysis

There is a research model with one IV, one DV and one mediator. So, when checking the parametric assumptions in SPSS, what will be done to the mediator?

Does the following answer is true?

**Path 1: IV to Mediator**

For the path where the IV predicts the mediator, the mediator is treated as the outcome.

- Run a simple regression with the IV as the predictor and the mediator as the dependent variable. Check parametric assumptions for this regression:
**Linearity****Normality of Residuals****Homoscedasticity****Independence of Errors**

**Path 2: Mediator to DV (and IV to DV)**

In this step, the mediator serves as a predictor of the DV, alongside the IV.

- Run a regression with the IV and the mediator as predictors and the DV as the outcome. Check assumptions for this second regression model:
**Linearity****Normality of Residuals****Homoscedasticity****Independence of Errors****Multicollinearity**

Hello,

I am working on a dissertation examining the feasibility and acceptability of treatment in a small correctional setting. I've drafted a survey for corrections personnel (they are not study staff) to provide both quantitative and qualitative feedback on our implementation practices (questions include items on acceptability, feasibility, beliefs about mental health care, and job satisfaction). The total number of workers we will be sampling is ~300 and we are not completing an inferential statistics.

Is anyone familiar with how to determine an adequate sample size? Meaning, what % of employees completing my survey would be enough based on past literature/standard methodological principles? My literature review as been all but clear.

Thank you in advance.

I am looking for resources to help teach a course on Social Research Methods, particularly focusing on Quantitative Analysis. This includes syllabi, lecture presentations/notes, assignments, and reading materials. I am interested in finding resources from reputable sources, such as academic institutions, educational repositories, and professional associations. Any recommendations for comprehensive and high-quality materials would be greatly appreciated.

An elaboration, I'm currently looking for a scale that measures adolescents' trust in their parents, however, I've had difficulties finding one until I found a research conducted by Pathak et al. 2016. In this research, they were measuring trust in adolescents' towards their parents, however, when I looked at the original research for the trust scale that they used, which is Rempel et al. 1985, the scale in this study was more directed towards partners in a romantic relationship and did not mention any subjects that were parents. The study of Pathak et al. 2016 from my belief changed the "subjects" of Rempel et al. 1985 scale from measuring partner's trust in a intimate relationship to measuring trust in adolescent towards their parents.

TLDR; I'm still new to the research endeavors, Rempel et al. 1985 did a research on "close relationship" and I don't know whether we can generalize this into adolescents' trust in parents (I asked this because Pathak et al. 2016 did what I just asked).

References:

Pathak, Sweta & Sinha, Shubhra & Tiwari, Mithilesh. (2016). Role of Parental Control in Adolescents' Level of Trust & Communication with Parents. Recent advances in Psychology: An International Journal. 3. 129-140.

Rempel, J. K., Holmes, J. G., & Zanna, M. P. (1985). Trust in close relationships.

*Journal of Personality and Social Psychology*,*49*(1), 95–112. https://doi.org/10.1037/0022-3514.49.1.95i just want to know if there are more options to do a quantitative analysis with xrd data

I am trying to perform the quantitative analysis of minerals in my samples. I have the XRD raw data of my samples. I started Rietveld refinement in X'pert Highscore and Match!* software but there was an error showing in these two software.

I have attached the image which shows the error during Rietveld refinement.

Please help me, If there are any other method for quantitative analysis of mineral percentage.

Dear Colleagues,

I have a question regarding the relationship between sample size and the likelihood of obtaining significant results in SEM. If it is generally true that larger sample sizes can increase statistical power and the chances of detecting significant effects, then what can researchers do to make sure that the hypothesis-testing results are reliable and meaningful?

Let's say my SEM study has a sample size of 5000, does this mean that the p values in the hypotheses I will be testing are very likely to be significant due to the large sample size? Are there any effective measures that we may take to deal with this problem?

I am thinking about the following three steps but am unsure if they are useful in effect:

1) reporting precise effect size,

2) lowering the significance threshold from p < 0.05 to p < 0.001,

3) testing the robustness of the structural model across different subgroups.

Do you have any thoughts or recommendations? Feel free to recommend any literature that you may find useful!

Thank you!

Best,

Leon

Dear all,

I have been trying to quantify phases in a powder mixture including LiMnO2 (orthorhombic, cubic, space group: Pmnm) and Mn2O3. I'm trying to use the Rietveld method, but concerning formation of amorphous phases can affect to the accuracy of quantification. The RIR method can determine the amount of amorphous phases, but I do not have the RIR value of the above LiMnO2 phase. Thus, I mix this mixture with 10 % of alpha-Al2O3 (corundum) and perform the Rietveld method to determine the amount of crystallite phases (eg. the calculated wt%: 11 % Al2O3, 85% LiMnO2, 4% Mn2O3), so the total amount of amorphous phases is 9.09 %. Is this performance true? And can anyone phease recommend me any reference which has the RIR value of the above LiMnO2 phase?

Thanks for your helps.

My data are non stationary seasonal data. I need to know is there any forecasting models can handle non stationary data. and I also want to know STL( Seasonal Trend LOESS) and ETS can handle non stationary data.

Thank you.

Hello everyone !

We're doing research on the impact of store location on purchase behavior of consumers and we're confused on how to approach data collection and analysis in this research.

After going over the literature, we've defined the variables : Proximity, visibility, accessibility, transportation, parking and local competition, alongside socioeconomic and demographic factors like age, revenue etc.

Should we proceed with a qualitative or quantitative analysis ? Both ? And which method for each ?

Currently we're working on quantitative analysis with descriptive analysis and factorial analysis to deduce correlation between variables. Are we on the right path ?

Any help would be much appreciated !

Hello everyone,

I am relatively new to the field of fluorescence microscopy and subcellular localization analysis. Recently, I conducted experiments on HEK293 cells wherein I labeled both the nucleus and the protein of interest. Now, I am in the process of interpreting the fluorescence patterns to predict subcellular localization. I have come across literature suggesting that quantitative analysis in this regard is often carried out by specialists. I am curious if there are any established criteria or guidelines for interpreting these patterns to identify specific organelles.

I would greatly appreciate any advice or insights you can provide on this matter. Thank you very much in advance.

I am doing research on analyzing what factors affect lumpsum contracts. qualitative analysis using risk breakdown structure and quantitative analysis using analytical hierarcy process. i want to know what steps i need to do.

please help in completing this research, thank you

What's the relationship between monosaccharides and polysacharides, and does the quantitative analysis of monosaccharides tell us something about polysaccharides?

Is ex ante power analysis the same as a priori power analysis or is it something different in the domain of SEM and multiple regression analysis? If it is different, then what are the recommended methods or procedures? Any citations for it?

Thank you for precious time and help!

I recently conducted a liquid chromatography-mass spectrometry (LC-MS) analysis of my protein sample, which resulted in the identification of over 300 proteins. I need assistance in identifying any novel proteins within this dataset. Can someone guide me through the necessary steps and offer insights on how to interpret the results?

I am working with NOVATECH ELISA KIT for Brucella. In the leaflet, it is mentioned that it is a qualitative assay with a cutoff starting at 11. When I enrolled the assay through the DS2 automatic ELISA machine, the layout results showed values as numbers, not only positive and negative. What does it mean? Are those numbers the real titre value? Are they the real concentrations of measured antibodies? If yes, why has the company not highlighted the kit as a quantitative ELISA?

In the context of the "Randomized Posttest-Only Control Group Design with Matched Subjects," a question arises regarding the appropriate statistical method for comparing the experimental and control groups. Should we utilize the paired samples t-test or the independent samples t-test, considering the matching process? The matching process aims to make the groups comparable, but does it imply treating them as if measurements were taken from the same individuals? Should we view them as distinct groups, despite the matching, and opt for the independent samples t-test, or is it more appropriate to employ the paired samples t-test, acknowledging the considerations of matched subjects?

Scenario - There is an IV and DV. IV is measured in 5 point likert scale questions and DV is measured in 7 point likert scale questions.

Doubts -

01. Can we run a test like regression analysis directly irrespective of differences in measures?

02. if NOT, what are the transformation techniques available to transform data into same scale?

The choice to employ snowball sampling in this study is driven by the unique and sensitive nature of studying smoking habits. It is challenging to identify and explore through conventional sampling methods. Snowball sampling, by relying on existing social networks and participant referrals, provides a valuable approach to reach individuals engaged in smoking within this particular context. Is there any way to change it to probability sampling technique?

Which is the best book for understanding Social Sciences Statistical analysis tools?

Hello Friends!

I have been in search of best book for understanding and applying social sciences statistical analysis tools. I am new in this field please seniors recommend some best books on the topic.

Thanks

How can we perform a quantitative analysis of the XPS peaks using Origin software? Please help, How can we do a quantitative analysis of each peak? The peaks of C1s are attached below.

Can XRD-Rietveld analysis provide components / phases present in the amorphous phase the same way it does for crystalline material? Are there other methods available?

The complex interplay between the human brain, mind, and consciousness bears a deep connection to the domains of physical science and mathematics. This connection illuminates how these fundamental aspects of human existence find common ground with empirical investigation and quantitative analysis. Exploring the multifaceted relationship between these aspects of human knowledge and the exacting disciplines of physical science and mathematics, and the relationship between mind and time.

Hi, we are researching a Comparative Analysis between Personality Traits among Career Interests and Self- determination. We've been trying so hard to find a related literature for personality traits and self-determination. Unfortunately, we still can't find one and we need it. I hope that you can help us thank you so much

Hi, I did a quantitative analysis for my transgenic and control plants. The statistical analysis (p<0.05, One Way ANOVA, Turkey) showed that there are no significant differences between both plants. May I know how to indicate that data on the graph? Should I use the same alphabet on both plants to indicate it? Or there are other ways to indicate it?

"Breaking the Issue: Quantitative Analysis of Public Perception and Reaction to Cancel Culture Incidents on Twitter"

Dear Colleagues

How are you using ChatGPT and other generative AI in your research? Can it be used for quantitative analysis, to interpret quantitative results, sharpen arguments, or find citations. I know with citations it often 'hallucinates', or makes stuff up. Let me know how it is aiding your research.

If you were considering research in a developing import-dependent African country, what would be those contemporary areas of interest that hold both practical and theoretical contributions??? Your opinion is highly appreciated.

Quantitative Analysis for PFAS Compound

Attention Scholars,

I, an assistant professor and researcher in Finance and FinTech, extend a warm invitation for collaborative research projects. My expertise lies in conducting quantitative analysis using SmartPLS, a powerful tool for modeling and analyzing complex data relationships.

If you are working on groundbreaking research in Finance, FinTech, or related Administrative and Financial Sciences and wish to explore the realms of quantitative analysis, I welcome the opportunity to collaborate as a co-author. Together, we can produce impactful research that contributes to our fields.

Please check my Google Scholars and Scopus

Mousa Ajouz (Ph.D)

Palestine Ahliya University

Laptop / pc recommendations for efficient writing, endnote, spss, data storage?

I have already revised some of the data streams (WDI, WID or world income inequality, Unctadstat, Ford) where quite a large number of data (yearwise) are missing. How to recover the data? Can I use data cleaning or other methods when many years of data are missing? Or, is there national data streams such as Department of Statistics which can provide the missing ones?

Do you believe that your understanding of qualitative or quantitative analysis brings you closer to the truth, given how you define truth? Please explain!

A researcher has deployed a qualitative approach in the data collection phase of research but has later decided to spice the analysis with some aspect of quantitative analysis. What can such mixing be called? Literature references will be appreciated.

Greetings.

Up until now didn't need to quantify minerals, a qualitative analysis was enough, but I wonder if needed what are the best and more feasible/acessible methods to quantify the percentage(even approximately) of different phases in a mineral precipitate?

I know there is one method that if we know that one ion is only present in a mineral in our sample, ththenan we may infer how much of that mineral is present, but is still based on suppositions so I wanted to avoid it and doesn't give a full picture.

The other one I know of is the Rietveld method using X-Ray Diffraction that allows quantification. But I guess if the sample has amorphous materials it leaves those minerals out right? and is it common to be able to perform this method in any XRD devices or only the most recent ones?

What other methods are there that maybe of use, that aren't excessively expensive or hard to find where to perform them? Even if it mainly gives us a distribution of the percentage of each of the known phases.

What does it mean when quantitative analysis of the compositional elements (from EDS analysis) gives the weight percentage and Atomic percentage of the elements with a negative sign, for example( -1.05) while the existence of this element from XRD analysis and the elemental mapping images?

Have you worked with standard scales/measures/instruments and have modified them in any way?

**What modifications are acceptable to standard scales?**

**What are the steps to be taken in order to ensure these modifications:**

- dropping of scale item(s)
- Changing the likert scale for responses: adding anchors, changing what the anchors read, etc.
- splitting double barrelled items into two
- Changing the order of the items.

I am investigating the effect of environment on gca, sca and heritability degree. Line x tester = 4 x 5.

I have ten regions and I created dummy variables for them. When I run my model one of them shows omitted, so I had to exclude the one showing omitted,and then I got significant result. But I need

**"the coefficient value of the excluded variable"**to estimate Total Factor Productivity.If possible, could you please explain how I can calculate it,dear colleagues.

Dear all,

I'm currently looking on the expression of specific isoforms from multiple candidate genes.

In order to confirm the expression of these isoforms, my first reaction was to prepare PCR primers enabling to amplify these isoforms either specifically or in duo (two primers for two amplifications of different sizes) and see if the expression of these isoforms changes between my experimental conditions.

However, this method will require further analysis by qPCR and sequencing to confirm the identity of these amplifications and to quantify their changes, which will take a large amount of time.

I was wondering if any faster method could exist to quantitatively analyse specific mRNA isoforms expression. The goal would be to not use omics strategy (as the candidate genes were identified this way) but to use a more targeted and precise approach to look at these specific genes of interest.

Thank you very much for your help.

I have some complex physiological data that varies quite a bit across participants. Best way to capture this variability? For more background...participants were exposed to different kinds of prejudice and some participants varied as to what type they responded more to. Any thoughts would be helpful.

Thanks!

*UPDATE*

Hello everyone!

I'm looking for papers that demonstrate/show how to quantitatively measure knowledge management (in general or part of it, like KM processes). In particular, I need to know which elements of a financial statement/balance sheet can be considered to offer an "objective measure" of KM within a company.

I really appreciate any help you can provide!

Please, note that I would like to study the relationship between servitization and KM. Given that I will measure servitization through panel data taken from companies' financial statements/balance sheets, I would like to find - in the financial statements/balance sheets - data that can allow me to measure the KM (or the CI, intended as a proxy for the KM). Do you have any suggestions according to this specific purpose? I was looking at the VAIC as well as the modified VAIC, but not sure it can be the best approach...

I want to use NaBH

_{4 }to_{ }reduce some aldehyde compounds into alcohols.If I directly inject the solution into GC, will it cause the column contamination?

If so, is there any better method to conduct quantitative analysis?

Hi everyone,

As part of my PhD I'm validating a patient-reported disease severity scale for patients with a rare condition. It assesses the severity across 5 symptom groups using a 0-5 likert rating. It's been adapted from a previously validated clinician-reported version to form a lay-reported version so that patients can report their own disease severity. The symptom groups are the same but the ways in which the response options are worded are different between the two questionnaires, which means this version needs validating. Initial testing done on the questionnaire suggests the isn't much differentiation across the response options on most of the items. I was thinking about interviewing patients, amending the questionnaire and then running some quantitative analyses to validate the scale.

I'm looking at using IRT, as the scale is not to be utilized in clinical settings, as there is already a validated clinician-reported tool to measure disease severity in the population. However the main problem I face is the patient population is incredibly small and I'm unlikely to get more than say 100 participants, all the stuff I'm reading on scale development says I need a lot more data otherwise the analysis won't have sufficient power.

Has anyone got any experience validating questionnaires using small sample sizes or has any advice regarding different validation strategies?

Many thanks!

Qualitative data indicates interviews, open-ended questions etc

Hello guys,

I read some nice articles explain the MSDO-MDSO for reducing number of conditions used within qualitative-comparative analysis. However, all of them lack the explanation for interpretation of tables created at the fourth phase of analysis - identification of relevant causal conditions - Outstanding pairs

The results were generated through online MSDO-MDSO software: version 1.1 - spring 2015 (jchr.be), available at the website https://compasss.org/software/

Thank you in advance!

I have panel data (T=10, N=26) where all variables are integrated I(1) with cross-section dependence. I applied Westerlund test and found no cointegration. So I proceeded with Pvar (Panel var) estimation. However, I want to confirm the robustness of my analysis by applying another estimation technique. Any advice?

I have bought a compound from macrocylics. I have analysed it using LC-MS where it shows multiple peaks. I have selected the peaks and did an area integration. The quantitative analysis of TIC gave be 85% purity whereas the product is endorsed as 95% pure.

I am attempting to perform XRD analysis on the 21R Sialon polytype, by seeing how much aluminium nitride is within each sample. Although, I cannot perform Rietveld refinements on this as I have no XRD data for pure 21R. I have been unable to find any data through research.

What data do I need to perform this task, and is it possible to perform Rietveld calculations if it does not exist within my Match database.

I am using Match! to attempt to perform these calculations.

If we use SmartPLS to analyse the structural equation modeling (SEM) then what could be the appropriate sample size? Is there any minimum and maximum sample size is required to analyse the PLS-SEM?

The synthesized hydroxyapatite powder can be doped with tricalcium phosphate. Can thermogravimetric analysis (TGA) be used for quantitative analysis of tricalcium phosphate in hydroxyapatite powders?

Hello,

I have a set of items that would need to be slightly adapted to fit my research.

1) Let's assume I have the following item: "Introduce a new generation of products/services."

Is it possible to change the tense to: "introducED a new generation of products/services"?

2) Let's assume I have the following item: "We introduce a new generation of products/services."

Is it possible to change the personal pronoun from we to I: "I introduce a new generation of products/services."?

Are these two changes possible without any further testing?

David

If I use 320 sample size using a purposive sampling technique, how can validate the sample size for generalizing results? Are 320 responses could be statistically sufficient to generalize the results?

To define quantitative analysis as such in a mixed methods approach, is it necessary to include a regression analysis?

As we know, atomic and molecular emission lines of laser-induced breakdown spectra can be used for quantitative analysis, classification, etc. Does continuous radiation, which is usually subtracted in quantitative analysis, contain any useful physical information?Are there any applications for continuous radiation in LIBS?

Im, a beginner at Raman analysis and anyone can help me to identify the E1 2g, A 1g,C and D peaks in the Raman spectrum of MoS2 and MoS2/rGO. and what is the importance of identifying them for a qualitative or quantitative analysis?

I have seen papers where PSM has been performed using cross sectional and panel data. I want to know if PSM can be used for time series data too.

I also have a question that which quantitative method should one use for analysing the impact of a policy intervention. The dataset is time series in nature.

Could you please elaborate on the specific differences between scale development and index development (based on formative measurement) in the context of management research? Is it essential to use only the pre-defined or pre-tested scales to develop an index, such as brand equity index, brand relationship quality index? Suggest some relevant references.

I'm doing a structured observation tallying how many times a teachers does a certain practice in 10 minute intervals. How would you analyse this data?

Usually, mediators and moderators are tested in quantitative studies. However, can we test them in a qualitative study such as a case study?

I have searched this question myself but I am still confuse about it. In one article, I read that such quantitative analysis of ethylene glycol was done via HPLC. I am using ethylene glycol as carbon source to grow a bacterial strain. Now I wish to do spectrophotometry to measure its quantity in culture media at different intervals but I am not sure whether it is doable and what wavelength should be selected. I really need guidance on it from relevant expert.

Thanks in anticipation!

I have six kinds of compounds which I then tested for antioxidant activity using the DDPH assay and also anticancer activity on five types of cell lines, so I got two types of data groups:

1. Antioxidant activity data

2. Anticancer activity (5 types of cancer cell line)

Each data consisted of 3 replications. Which correlation test is the most appropriate to determine whether there is a relationship between the two activities?

Hello Seniors I hope you are doing well

Recently I've read some very good research articles. In those articles datasets were taken from V-Dem, Polity and Freedom House. Though they have shared the link of supplementary datasets and the process of how they analyzed these datasets in SPSS or R in brief but I couldn't understand and replicate these findings. It may be because I am not very good at quantitative data analysis.

So I want to know how could I better understand this Datasets analysis easily like V-Dem etc. Is there any good course online, lectures or conference video etc. Or good book?

Article links

Any help would be appreciated.

Thanks in anticipation.

Some of parameters such as LT50 & LD50 needs to evaluate insecticide.

Dear all,

I am using the Imodpoly algorithm with python to fit very noisy fluorescence data. However, in a few instances, I notice that changing the polynomial degree or using arpls algorithm will fit my data better. If I am running many data sets and my goal is to perform quantitative analysis and comparison, do I have to use the same fitting algorithm for each data set or can I mix and match algorithms for better fitting?

Thanks

I plan to develop a semi-structured assessment tool and further validate it on a relatively small sample of below 50 (clinical sample). I have been asked by the research committee to consider factor analysis.

So in this context, I wanted to know if anyone has used regularized factor analysis for tool validation which is recommended for small sample sizes?

Hello everyone! Currently I'm busy with finalizing my master's thesis and due to a high drop-out rate in my intervention I was not able to conduct the initial analysis to test one of my hypotheses. Instead of doing a quantitative analysis, I have analyzed the answers to the evaluation questions after each part of the intervention. The purpose of the evaluation questions was only to evaluate how the participant perceived the intervention and not specifically related to the central construct I am examining in my paper (Psychological Flexibility), whereas the initial quantitative analysis would test whether the scores on the Psy-flex (measure for Psychological Flexibility) would improve after the intervention (compared to the first measurement).

Since I modified the analysis for this part, I had the following questions:

1. Can I still formulate the initial hypothesis in the introduction and write down in the data-analysis that a qualitative analysis is conducted due to small sample size?

- My supervisor says this is not possible and that I should formulate a hypothesis for the qualitative analysis in the introduction (while in this case it is exploratory right?). According to her I should exclude this initial hypothesis from the paper, although this was part of the initial plan.

2. Is the qualitative part not based on a exploratory research design and am I therefore not obliged to formulate a hypothesis?

- The purpose of the evaluation questions were to evaluate the part of the intervention. I did not construct specific questions for the specific skills of Psychological Flexibility (as in an interview with themes & coding etc.). According to my supervisor there should be specific hypothesis for it formulated in the introduction, since I can't say that the study is based on a mixed-method design otherwise (is this true? As long as I report which analyses I conduct in the data-analysis even when modified, I can still say that it is based on a mixed-method design right?) IMPORTANT NOTE: I already did a quantitative analysis before the intervention procedure, so therefore I thought that the combination of quantitative and qualitative design can be seen as mixed-method design.

I hope this explanation is clear for you to give me some advice on how to approach this. If not, ask me some questions and I will try to elaborate on it.

Thank you in advance!

I read some articles about statistical robustness of SmartPLS. However, I am not sure about the appropriateness of SmartPLS in the case of survey study involving a representative sample with adequate sample size. Any suggestions?

Thank you!

If I use SmartPLS to test the structural model then how I can measure the Goodness of Fit Index (GFI). What are the indices I need to observe for validating the research model?

I was given a role play as a financial analyst and the task is to perform a presentation on how to estimate the growth rate of a company by doing quantitative analysis using the company's financial statements.

Hence, which variables from the financial statement should I use to be able to estimate and calculate the projected growth rate?

I need an all in one software that could handle quantitative analysis aside R and also easy to operate

There is a problem in my research with quantitative analysis of XRD patterns of glass-crystalline materials (including glass-ceramics and geopolymers).

Thanks to the discussion (https://www.researchgate.net/post/Does-anyone-know-how-to-quantify-C-S-H-in-cementitious-materials-using-XRD) I've found RieCalc program which calculate of rescaled phase fractions (including amorphous phases).

Unfortunately, I've faced two difficulties:

1. This program "could not be found" at http://www.geoscienze.unipd.it.

2. I'm not sure about its suitability for the analysis of geopolymers and glass-based materials.

Are there any other options to find a program for automatic quantitative analysis of crystalline and amorphous phases, and where can I find them?

I want to do quantitative analysis for vitamin A acetate raw material using HPLC method, but my sample cannot dissolve in many organic solvent such as methanol,ethanol,chloroform and hexane.

is there any recommended solvent that i can use for dissolve it ?

I have added 4 control variables namely firm size, board size, industry and firm age. do i have to collect data for the control variables? my research topic is impact of gender diversity on firm performance.