Science topic

# Reliability - Science topic

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Questions related to Reliability
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Hello! Is it acceptable if an adapted questionnaire is tested for reliability but not validity?
Thank you
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Hi. I'm generating the amount of data required for training an artificial neural network (ANN) using a reliable and validated self-developed numerical code. Is it right approach?
Or the necessary data should be produced only with experimental tests ?
Best Regards
Saeed
Will data from a factorial design used to train an ANN catch higher order interactions more accurately?@tapanbagchi
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I was going through different ways to calculate insulin resistance, I came across the eGDR equation. It is a very good and easy reliable way to calculate insulin resistance. But, I am confused a little about how to decide the threshold for a population. also, I came across various studies where a modified version of eGDR was used, how do authors decide that they might need modified version of eGDR?
Sorry if I ask but i dont understand.
Estimated Glucose Disposal Rate (eGDR) is a measure of insulin sensitivity that is calculated using mathematical equations based on clinical and laboratory parameters. There are several modified equations available for eGDR, as researchers and clinicians have attempted to improve its accuracy and applicability for different populations.
The modifications to eGDR equations are usually based on the data from studies that show the limitations of the original equation or its applicability to certain populations. For example, some modifications may incorporate additional clinical variables such as age, gender, ethnicity, or body mass index (BMI), which have been shown to affect insulin sensitivity. Other modifications may incorporate different laboratory measures such as fasting insulin levels or HbA1c.
The threshold for eGDR varies depending on the specific modified equation used and the population being studied. Generally, a higher eGDR indicates better insulin sensitivity, while a lower eGDR indicates decreased insulin sensitivity or insulin resistance. However, the specific threshold values for eGDR may vary depending on the population studied, as different populations may have different baseline levels of insulin sensitivity and different risk factors for insulin resistance.
Ultimately, the decision on which eGDR equation and threshold to use depends on the research question or clinical context. Researchers and clinicians should choose an equation and threshold that is appropriate for their specific population and research or clinical needs.
reference :
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Hi,
I've ran reliability analyses for my data and received a negative cronbach alpha of -.562 for my Rosenberg Self-esteem scale.
I do have reverse scoring and have gone back to unreverse score and re-score to amend any mistakes I made.
However, after running my reliability test again i still received a negative result of -.608.
I'm not sure where the issue may lie as i have checked my reverse scoring and believe there are no errors made here.
How can i resolve this?
Thank you
First, start with two items and add one by one until you reach the desired level of reliability. As you increase the number of items, the Cronbach Alpha value should start decreasing. You have to decide what level of reliability is acceptable for your research purposes and adjust accordingly.
Second, consider revising item wording if necessary. Different words may influence how respondents interpret questions, so it's important to make sure that all items are worded in a way that accurately reflects what you're trying to measure. Additionally, make sure that all items measure the same underlying construct; if they don't, this could lead to lower Cronbach Alpha values as well.
Finally, it's important to remember that Cronbach Alpha values can vary depending on the sample size and other factors such as age or gender. If possible, try running your analysis on different subsets of data to see if this has an effect on your results.
By following these steps, you should be able to amend any negative Cronbach Alpha values for RSE Rosenberg Self-Esteem scale and ensure reliable results for your research project.
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I tried searching for relevant topics in this website, but couldnt get to any of the references that the website gave information based on, can you tell me if you think this site is reliable and how to get to the references?
Hi
It is not reliable. In fact this IA system aim is to simulate a human conversation, not to provide reliable information.
However, it is very interesting to make a first approach to a topic, although you will have to confirm the quality of the information later.
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need to know about all possible statistical analysis that can be applied to analyze the qualitative traits or data particular for wheat....
Huma Tariq Dr You can use Mahalanobis distance - This is is unitless, scale-invariant, and takes into account the correlations of the data set. See:
Madry, Wieslaw. "A statistical approach to multivariate evaluation of diversity with respect to quantitative characteristics in cereal germplasm collections." Journal of Applied Statistics 24.5 (1997): 573-588.
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In our study, it was recommended by our professors to set a deadline and if at least 20% of the total population has responded within the time allotted, we may proceed with data analysis and interpretation. However, we cannot find a reliable source to support this method.
Results are liable to be highly biased. Those who respond and respond quickly may represent a stratum or subpopulation which may be quite different from the unknown population in general.
If you have good covariate data, you might use that. See "Comparing Alternatives for Estimation from Nonprobability Samples," by Richard Valliant, December 2019, Journal of Survey Statistics and Methodology 8(2),
DOI: 10.1093/jssam/smz003
However, that seems unlikely.
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Modern research recommends that researchers apply the Mixed Method Research Approach to developmental research studies.
This is both Quantitative and Qualitative data that have to be collected from the field. The former is from the sampled respondents, and the latter is from the non-sampled respondents, like Focus Group Discussions and Key Informants Interviews at the local level.
Most development practitioners and Social Science researchers are interested in using this Mixed Methods Research Approach.
The main advantage of using this mixed-method approach is that it could help the researchers ascertain the results' validity and reliability.
This Quantitative data can be triangulated with the Quantitative data to measure the validity of the research.
Was there a question in here? David Booth
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Hello,
I built a questionnaire for my cross-sectional study based upon multiple previous studies but I'm facing a problem in determing the appropriate way to test validity and reliability, considering that my questionnaire contains different types of items:
A) Dichotomous items (yes/no). For example: Did you suffer from acne before? Yes/No
B) Polytomous items (only on answer allowed). For example: How old were you when you first had acne? <15 years, 15-20, <20 years... etc
C) Polytomous items (multiple answers allowed). For example: what is the site of acne? Face, trunk, chest... etc
@Kushal Grakh
Thank you for answering.
I know that Cronbach’s alpha can be applied on scale items (e.g., likert scale) and on items with true and false(s) answers, but is it applicable to my questionnaire with such a type of item as the items mentioned in the original post?
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I'm attempting to work with induced polarization and geoelectric subsurface structural mapping but am having difficulty locating a reliable dataset that could be enhanced and used for regional sensing and analysis. If anyone has any leads, I would greatly appreciate them, thank you!
Thank you for the lead Aahed, I'm sorry I'm having trouble locating the database and having only been able to find the NOAA 3D geoelectric hazard data, would it be possible for you to share the link for the dataset you mentioned? Thank you again!
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How could automation assist blood banks enhance the standard and reliability of their laboratories?
Yes, many types of human errors could be nullified with programmed procedures and proper specific location and records of storage and availability with respective group. All parcel 📦 handler companies are using same types of software for storage and delivery 🚚
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I have got a comment from a reviewer and do not know how to address it:
The authors have revised the manuscript well, but I'm still unsure about the data collection period. This study collected data in 2013-2014 which means about 9-10 years ago. And we know conditions have changed a lot after the pandemic, and the authors need to justify that this research is still applicable. The justification given is still quite dubious to me. Maybe you can include references that support that the data is still valid and reliable for analysis in your study.
Would you please mind suggesting how to respond to this comment?
Hi,
I think he/she gave a big guideline by stating this,
" Maybe you can include references that support that the data is still valid and reliable for analysis in your study."
So, in my opinion, you need to find similar published works or websits that support the idea of his comment.
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Hello,
I want to investigate election violence and its impact on voters' well-being in seven counties in Liberia. I am still perplexed about which sample size determination method to use, but I would love to employ the proportionate sample size method if possible.
I have two datasets that I am still indecisive about. One is the 2008 census data for the seven counties; the other is the number of registered voters during the 2017 presidential elections.
Which data would be appropriate to use? What is the formula for using the proportionate sample size determination method? I would also appreciate suggestions for any reliable method other than what I have mentioned here.
Thank you!
To find the formula for proportionate sampling
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When I write a subroutine in Intel Fortran (via Visual Studio 2019), the file is saved as.f90. However, I need the file type to be .for to run in Abaqus. Is there any more efficient and reliable way to change my.f90 files to .for?
Thank you in advance.
Rename it to .f .
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I have a dichotomous data and a likert scale and have to analyze variables of both, so in that case we can check the reliability ,but when it comes to validity how to check the validity of these two different construct of questions in which one is dichotomous set of questions and the other one is likert, can we check the validity of both of them as we do in factor analysis?
Oscar Agyemang Opoku Thank you your answer is really useful
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Hi All,
I need help finding sources for reliable data on smoking behaviour in terms of health risks. I tried OSF, but it doesn't have data on smoking.
I shall be highly grateful for any help.
Thank you.
Best,
Mariyam Abbas
I have been working and publishing on the subject, as you can easily read from my profile.
Obviously, my analyses/researches are focused on Italy.
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I'm developing a multiple level sustainability certification model for the insurance industry and they would like the reporting element to include the type of information that we could get from that type of calculator,,
Best Carbon Footprint Calculators
1. CoolClimate Calculator
2. WWF Footprint Calculator
3. CarbonFootprint.com Carbon Calculator
4. Conservation International Carbon Footprint Calculator
5. UN Carbon Footprint Calculator
6. TerraPass Carbon Footprint Calculator
7. EPA Carbon Footprint Calculator
i would love to recommend the Cool Climate Calculator....It includes in its calculations the four main categories of household consumption, resulting in an estimate of your carbon footprint that takes into account all the major sources of your personal emissions. The calculator allows you to plug in granular data for each category. For transportation, it asks for your annual mileage from a variety of methods. For housing, it asks for your energy usage from all the major home energy sources.
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Is a questionnaire that has been tested for validity and reliability, must be tested again when the questionnaire will be used? if there are already test results for a certain country's version, should it be tested again when it is used in that country?...
The "validity" and "reliability" refer to the way questions are written to obtain objective results from subjective perspectives (the people surveyed). They remain valid as long as they are applied in the original language to the validated test populations.
Changes in language or cultural understanding by either the questionnaire or the participants would require revalidation and tests for reliability.
For example, a questionnaire written in English and intended for participants within the Canadian culture with a certain level of education would be valid and reliable throughout Canada with that understanding of education and culture.
However, if it was translated into French, or used in England, or with a population with a different educational level, it would need to be re-validated to avoid errors in understanding and response.
This applies to studies conducted by interviewing people. If you mean a test protocol of physical observations (statistical analysis) then a validated protocol will remain valid for any similar test.
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Hello,
Can I easily find an identification database of chemical components on the internet without complicated conditions?
Which basics are important and which are reliable?
Knowing that the components targeted by the identification are components of organic plant extracts.
Thank you very much in advance.
Cordially.
Thanks a lot Aparna Sathya Murthy
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Hello everyone,
I would like to investigate three factors using a central composite design.
Each factor has 5 levels (+1 and -1, 2 axial points and 1 center point).
I chose my high and low levels (+ and -1) based on a screening DoE I did previously using the same factors.
I chose an alpha of 1.681 for the axial points because I would like my model to be rotatable. However, for one of the three factors, one of the axial points is outside the feasable range (negative CaCl concentration....). I thought of increasing my low level for this factor to avoid this. Lets say, increasing the value from 0.05 to 0.1 to avoid reaching the negative range with the axial point, but I was wondering, if this would effect the reliablity of my model?
Another option would be to change the design to one that has no axial points outside the design points. However, this is actually my area of interest.
Can anyone help?
Dear Thuy,
In our last publication, we had the same problem with CCD and the alpha being generating negative values, so I inserted the levels in terms of alphas and it worked perfectly.
You can check our publication
Kind regards
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Dear Author, Warm Greetings from Academic 2023! Congratulations, based on the quality of your recent publication, you are provisionally selected for the Research Award and recommended by our scientific committee. In this regard, we welcome you to nominate your short research profile through an online submission system of the International event. Selected Category: Best Researcher Award Online Nomination: Note: Submit your updated profile under the selected category. Submission is peer-reviewed by editorial members.
These are not real awards. At some stage they will ask you for money
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Hi,
I have recently seen many ways for writing a peer review. Many have suggested to use table for this purpose. I need to know what criterias should be taken into account. For instance, do all references must be reliable and high impact? What the table includes? how can analyse the articles effectively? how many articles to be reviewed?
Thanks you all
Interesting topic and very interesting responses.
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I am trying to do some patch clamp experiments recently.
However, I noticed that we don’t have a perfusion system.
Is is still doable?
Will the results be reliable?
Dear Yi-Lin, just to add to the replies above: please be mindful of the media you're using. If no perfusion is to be used, you need a buffer such as HEPES to maintain the pH. Regular ACSF rely on NaHCO3 which do require bubbling with carbogen mix.
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I would like to get your opinion about which open source tool is more reliable for battery aging simulation and performance evaluation? There are various open source tools such as PyBaMM or OpenFOAM. I would like to get advice upon your experience.
Thank you in advance!
Hi,
You also have BLAST and, for this, the Battery Software Open Source Landscape, BOLD, GT-AUTOLION...
Best regards
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We are performing an experiment to estimate the change in the microbial profile in the gut of dairy cattle to different diets. The experiment's main aim is to see if there is a reduction in methane emissions and a change in the microbial profile of the gut. We are planning to perform a microbiome analysis to get a complete estimate of the change in the microbial profile.
The question here is;
1. Is microbiome testing the best method to go about estimating the reduction in methane emissions? (as it can be used to estimate the methanogenic archaea in the gut). Is the result really reliable?
2. Is In-VItro testing to estimate methane testing a good way to measure methane emissions, is this testing reliable?
Thank you.
I would say that there is not best in research in general. Everything is relative. And the results can also be dependent on what is your experiment about and what and how you design the experiment in terms of microbiology. As of your question, point 1 and 2 in not separate and can be done in parallel.
There are so many studies done on this topic which surely can help you in designing the study and to understand what is needed.
However, in the end everything would come to you what you are doing to do and how present the study.
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The original scale has 4 subscales, and I will use it as one of my essential outcome measures. I need to use 2 subscales only to assess specific changes.
Dear Tasneem Alatwi,
Concerning your question, I invite you to read "Franke, G. H. (1997). "The whole is more than the sum of its parts": The effects of grouping and randomizing items on the reliability and validity of questionnaires. European Journal of Psychological Assessment, 13(2), 67–74. https://doi.org/10.1027/1015-5759.13.2.67"
Findings seriously call into question the admissibility of subscale extraction for self-report inventories.
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In SmartPLS 4's Construct reliability and validity output have Composite reliability (rho_a) and Composite reliability (rho_c).
What is the difference between Composite reliability (rho_a) and (rho_c)?
Which one should use for my study?
You should use rho_c as rho_a is usually used in Consistent PLS to correct the over and under estimation that occurs in rho_c and Cronbach's alpha.
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The study to break the culture - babel enigma code is still available, without reliable sample this code can be not broken 💔😭💔
If you would like to be part of studies answering the link between culture, emotions and cognition, hey! There is still time to fill it!
This study will shut Wed 0:00
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Precision-based ranked retrieval evaluation metrics from information retrieval (IR) such as Precision@k (P@k), AveragePrecision@k (AP@k), and MeanAveragePrecision@k (MAP@k) employ only oracle or user-assessed relevancy scores while completely discarding the system-generated relevancy scores. However, system-generated relevancy scores are the ones that are used for ranking the retrieval outcome.
Is it right to discard the system-generated scores (known as similarity scores in case-based reasoning (CBR)) in evaluation metrics?
Let's consider two variants (A and B) of a CBR system with identical case representation, case base, and retrieval output. However, the retrieval results differ by their system-generated scores based on which the retrieval ranking is performed. Say, the oracle-assessed relevancy scores and system-generated relevancy scores for the top 3 ranks for A and B are:
• A: oracle-assessed relevancy (0.9, 0.8, 0.7) and system-generated relevancy (0.9, 0.8, 0.7)
• B: oracle-assessed relevancy (0.9, 0.8, 0.7) and system-generated relevancy (0.5, 0.3, 0.2)
Note: The metrics (P@k, AP@k, and MAP@k) by design operate only with binary relevancies, which means oracle-assessed relevancies for A and B can be (1, 1, 1) for the current example, where 1 is relevant and 0 irrelevant.
Question:
• Now, which CBR system is more fair or reliable?
• Should we choose system A or B?
There is a good reason why accuracy is not an appropriate measure for information retrieval problems. In almost all circumstances, the data is extremely skewed: normally over 99.9% of the documents are in the nonrelevant category.
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What are some of the reliable suppliers in india for gray cast iron billets.
Few options can be Kalyani Steels Limited; Mahindra Ugine Steel Company Limited; RINL Vizag Steel Plant; or JSW Steel Limited. You may cross check once.
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current state of the art of the classical fragility contain epistemic uncertainty! That is because:
- Displacement depend on the direction and magnitude of the force, so displacement based fragility are not reliable!
- Defining fragility in terms of PGA or other characteristics of the hazard is another misunderstanding! and wrong conception!
- Each fragility curve is for all systems! Definition of a fragility curve for a system is a wrong concept!
- Fragility is the sole concept of the structure!
- There is only one fragility curve for all structures, the abscissa is a property of structures , such as relative slenderness ratio!
- Fragility and reliability (capacity) are two sides of a coin! Fragility curve at each point is equal to 1 minus the design (reliability) curve!
-This great misunderstanding should be corrected!
-For more info. look for Persian Curves in the literature!
A caution to the appropriate use of any model is always useful. But don't confuse (known) uncertainty with reliability or utility. Your statement would imply that there is no validity at all to any fragility curve. Maybe you are adding your own assumptions or conclusions to something that is not there in the intended usage. If "... all fragility curves... are not reliable.", none should be used, and the model abandoned. You may need better evidence to effect that change.
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I am using time-series secondary data in my research. But I am not sure as to how to test validity and reliability of the data.
Secondary data were collected by other persons or organizations. its reliability and validity depend upon the reputation of the person or organization. Once you are confident that the secondary source of data is authentic and reputed, it is not necessary to check its reliability and validity. In the case of primary data, there is necessary to check the reliability and validity of questionnaires or data collection tools.
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Hi there!
I wish to do a comparative study of two available treatments in peptic ulcer disease (PUD). I'm in need of a reliable tool/method to help me measure efficacy of the given treatment. Aside from endoscopy, how can I determine which treatment has been more effective?
Thanks.
The efficacy of the treatment of PUD is measured by, the absence of clinical symptoms, negative H. pylori test, and endoscopy. However, the gold standard test is endoscopy.
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Hello everyone
I want to provide high purity and reliable laboratory materials
Which of the following companies do you approve of?
Have you had experience using its materials?
Acros
Alfa aser
Tci
Florchem
Fisherchem
Santachem
santa cruz
Carbosynth
Glenthem
Tocris
Hellochem
Biozol
Hi,
Alfa Chemistry can offer kinds of high-purity and reliable laboratory materials.
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Nigeria's data on tertiary education attainment, research and development, international technology transfer, and domestic technology investment from 1990 - 2021. Regards
Thanks for the update
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What other similar graphical approaches/tools do you know when we attempt to depict the degradation state or reliability performance of a system, aside from Markov chain and Petri net?
(Any relevant references are welcome.)
Thank you in advance.
What I did on the job (portraying the maintenance process from Plan to Approve to Schedule to Work to Closeout) was make a "bubble chart" with arrows from stage to stage (including skips and reversals, such as the plan was not approved and kicked back to planning) with arrows and the average time to go on the path and the number of packages to go on the path in a given time frame (such as a month).
With modern graphics, one could actually animate with ants going from mound to mound I suspect.
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The abstract is as follows:
Title: Quality of life of Iranian adults with neurofibromatosis 1: validity and reliability study
Abstract
Aim: Evaluate the quality of life of Iranian patients with neurofibromatosis and the validity and reliability of the Persian version of the NF1 adult HRQOL questionnaire (NF1-AdQOL).
Methods: This methodological study was conducted on 414 adults’ patients with neurofibromatosis 1 in Iran, using convenience sampling. Based on permission from the developer of the scale, it was back‐translated. Content validity, exploratory and confirmatory factor analyses were tested. The reliability of the questionnaire was evaluated with test-retest and internal consistency.
Results: The 31-item Quality of Life questionnaire was translated into Persian, and based on content validity two of the items were removed. The adequacy of the sample was acceptable (KMO = 0.940). Exploratory factor analysis revealed four factors. The scale was good reliability (Cronbach’s alpha: 0.953), and the intraclass coefficient was 0.91. The total mean Quality-of-life score was 93±25.18.
I really like your topic because it lends itself to quite a few different types of journals: neurology, society medicine, general/internal medicine. Which of these topics do you think fits best?
For example, if you choose neurology, the journals I would think of first are "Clinical Neurology" and "Journal of Neurology". There are many journals in this field that have higher rankings, of course, and we need to find something suitable for your work.
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The phylomatic.com supported comparitive analysis of multiple species at same time. Results from statistical analysis with or without phylogeny consideration could be quite different, for instance, correaltions between two plant traits. how to quantify the contribution of phylogeny when environmental, biological factors together explained the responsive variable ? so far, there are many paper invloved this aspect, what is the most reliable way to deal with it?
Partitioning is a commonly used method in phylogenetics that aims to accommodate variation in substitution patterns among sites.
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Please suggest some reliable tools for computing multiple sequence alignment and generating heatmaps?
For sequence allignment you can try Unipro Ugene
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I am currently developing a proposal on microplastics (MPs) in the terrestrial environment, kindly assist with a reliable methodology to determine MPs in soil, water and plants. Is there any permissible limit in terms of concentration?
I encourage you to read articles related to what you are interested in. Review the article below, it could be helpful.
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Isn't it really time to use Omega test instead of Cronbach's alpha in reliability?
One of the measures to solve the lack of Cronbach's alpha is McDonald's omega coefficient in SPSS software, which is based on a one-way model. Especially when the covariance between items can be approximately explained by a single-factor model, the omega coefficient formula fits the definition of reliability (HayesDepartment and Coutts, 2020).
source:
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I have values of two treatment groups with similar gene target and all 3 groups have the same beta actin value. Treated 1 = 21.00 cq and Treated 2 = 20.50 cq, while both treatments having the same Control = 19.00 cq. From this rough data, is it reliable to say Treated 2 have higher expression than Treated 1 against Control due to lower cq value by 0.5? Thank you in advance
Try to add technical replicates and at least 3 biological replicates to get a statistically significant data. However practically with the difference of 0.5 cT you cannot actually comment too much about the expression of gene. A higher number of biological replicates would help in this case.
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Due to the knowledge that one protein kinase have many Intracellular target proteins, for making the experiment, are there any methods that make protein kinase enzyme phosphorylates only one desired target protein? Or there are any strategies to make sure that protein kinase phosphorylates only desired target in the experiment to ensure the reliability of results from phosphorylation study?
Thank you very much! I really appreciated your help.
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It would be great if anyone could suggest a few datasets where GHI, DHI, and DNI (Solar data) can be downloaded in the viewable format.
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What are the appropriate time to estimate the incidence for any medical problem and how can differentiate from prevalence to be more reliable and realistic number figures?
Please note that the incidence is usually (but not necessarily) calculated for acute communicable diseases, and the prevalence usually calculated for the chronic non-communicable disease. You have asked about the best time to calculate the incidence: of course it should be at the end of the period. eg incidence of COVID-19 during the year 2021, it is the number of cases of COVID-19 developed during 2021 (numerator) among people who were free from COVID-19 at Jan 1, 2021 (denominator). If you calculate the point prevalence of COVID-19 now, it would be very low, but if you calculate the period prevalence (eg during the previous year) it would be high.
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The section on physical activity will be part of a large survey that intends to collect information on adolescent and young adults health behavior.
We are aware of the limitations of the self-reported method, yet this will be the most suitable method for our study.
Thank you in advance
Physical activity assessment tools in monitoring physical activity: the Global Physical Activity Questionnaire (GPAQ), the International Physical Activity Questionnaire (IPAQ) or accelerometers – choosing the best tools.
• January 2018
• Health Problems of Civilization 12(1):57-63
• DOI:
• 10.5114/hpc.2018.74189
• 📷Marian Jan Stelmach The researcher is here on RG
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Hi,
Has anyone doing microfluidics work for cell culture started having problems recently with getting their Sylgard 184 PDMS to reliably and permanently bond to the glass substrate? We have tried replacing our PDMS elastomer base and curing agent recently but this has not fixed our problem. We have also tried using 10% less curing agent which didn’t help either.
Briefly our protocol involves the initial bake at 60 degrees C for 1.5 hours, cutting out chips the next day then cleaning the PDMS surface with adhesive tape, cleaning the glass surface with 70% ethanol and a blast of nitrogen, plasma treatment for 30 seconds at 50% power/~15W (Zepto ONE, Diener Electronic plasma cleaner), and then sticking the surfaces together. Final annealing overnight at 60 degrees C before checking my chips for any bonding issues.
Normally when I have improperly bonded chips it’s immediately obvious and I’d see a portion of the bonded PDMS stuck onto the glass. Recently I’ve noticed that too many of the chips come off the glass cleanly, leaving no residual PDMS. I also sometimes find that a chip may be properly bonded but then it comes undone at a much later stage. All this leads me to think that the bonding is no longer permanent like it should be. I’d appreciate any feedback or advice, or if anyone else has noticed this and what may have worked for you if you did. Thanks very much in advance!
Plasma treatment power is too lower than ours, sometimes humid environments OH- group easily & fastly disappears. I suggest using 100% power to treat. For reference, we use 70W O2 20sccm 30sec condition. Abigail Dos Santos
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One of my questionnaires has one item: one open-ended question. Is there any method to check the reliability of one question?
I consider Dear Dr. Sangeeta Bhanjachaudhuri that the manipulation of information should always alert us as to its reliability and, above all, it tests our susceptibility to information that we do not judge to be wrong at first glance, because the importance of the credibility of any source in the persuasion process appears well documented for this reason we must investigate if there is a similarity of the source that interests us with other similar sources, only in this way can a good evaluation of credibility be reached.
Cf.
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I have calculated the correlation coefficient for these groups: Group A: r= 0.8, P= 0.02 Group B: r= 0.8, P= 0.0005 .
Can I say that the correlation was stronger in group B compared to group A?
No, the two values of r are identical. The only reason the p values differ is that you have more scores in Group B.
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Hi there:
I am trying to establish a reliable and low cost protocols for human Th1, Th2 and Th17 polarization, does anyone has good experience to share?
Many thanks for any information
Shiqiu
Aberrant T-cell responses underpin a range of diseases, including asthma and allergy and autoimmune diseases. Pivotal immune elements of these diseases are the development of antigen-specific effector T-helper type 2 (Th2) cells, Th1 cells, or the recently defined Th17 cells that are associated with the clinical features and disease progression. In order to identify crucial processes in the pathogenesis of these diseases it is critical to understand how the development of these T cells occurs. The phenotype of a polarized T-cell that differentiates from a naïve precursor is determined by the complex interaction of antigen-presenting cells with naïve T cells and involves a multitude of factors, including the dominant cytokine environment, costimulatory molecules, type and load of antigen presented and a plethora of signaling cascades. The decision to take the immune response in a certain direction is not made by one signal alone, instead many different elements act synergistically, antagonistically and through positive feedback loops to activate a Th1, Th2, or Th17 immune response. The elucidation of the mechanisms of selection of T-cell phenotype will facilitate the development of therapeutic strategies to intervene in the development of deleterious T-cell responses. This review will focus on the pathways and key factors responsible for the differentiation of the various subsets of effector CD4 T cells.
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We are in the market for a vacuum concentrator unit for a range of applications but one of the challenging ones is drying up to 24 samples of 1:1 water:methanol, with 10mL per sample!
One of the many systems we are lookig at is the Buchi syncore polyvap r48 or even the R96 model.
Does anyone have any experience with this system, such as its ease of use, reliability, adaptability that you would like to share with me?
Thanks
Greg
When you write you have a range of applications, the SyncorePlus from Buchi might be a suitable device, as you can simply change the Racks for another application. Unless you have hundreds of sample per day, I would actually go for the R-48, because you have a higher evaporation area (bigger vessels) and you will be very fast with your evaporation. The installation is easy – heat up the system, insert your samples, cover onto the samples, and start. I know from my experience that water:methanol mixtures are not easy to distill, because they tend for boiling retardations. Therefore, you would choose a slow pressure gradient at first at high shaking. And if that doesn’t help, just ask your local Buchi distributor in down under, they have a Competence Centre and will help you out if you face any problems.
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I’m making a research about tb knowledge in Indonesia and some of my questions in my questionnaire are multiple answer question.
Generally helps to have a focus group take the survey, and then orally interview the group and see if you ended up with different answers in the interview versus what they put down for written survey. Oral interviews do allow for more follow up and gathering of context.
Also, consider a generic question or two - something like "I like ice cream" but close in context to the subject of the survey. Having a question that the answer should be "obvious" (positive or negative) gives a good calibration,
I would caution against responses such as apparently shown for question 19. That is a rather long list, and perhaps multiple answers are valid for the survey taker. If you make the survey too hard or too long, it is unlikely a person will complete the survey.
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Mainstream theoretical physics applies the stationary action principle to derive Lagrangian equations. This cannot explain the origin of electrical charges and cannot explain the shortlist of elementary particle types described in the Standard Model of the experimental particle physicists. See
The symmetries are the starting point. So it's U(1) gauge invariance and global Lorentz invariance (along with the assumption that the equations of motion don't contain more than two time derivatives) that describe all the properties of electric charges.
These are the assumptions, from which the electromagnetic properties of matter and radiation are derived.
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I am seeing to buy a low-cost rotary evaporator that can be as efficient as the best models of the market. Can anybody suggest me based on their experience? Please avoid well-known models that are highly expensive.
Venkat
I understand your request as these units are quite expensive. Thera are several low prices units on the market. If you need that rotary evaporator for some years, I would invest in a high quality system like a buchi rotavapor. In India, Buchi offers fast support and fast availability for spare parts as they have a Buchi office im Mumbay..
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Dear colleagues,
I just receive an email from info@vebleo.org as follows. Is it reliable? Anyone gets the same email?
......
I am delighted to inform you that your name has been nominated for Fellow of Vebleo by the committee members for your notable contribution in the field of materials science research including graphene & 2D materials, biomaterials & devices, functional, composite, polymer, energy- and nano science, and technology. ........
its scam, they want your CV and than give you a link were you can pay a fee (about 300 dollar) for a webinar where you give a presentation and then in return you may get the "certificate".
So the Vebleo guys win twice:
1. you pay a fee (300 dollar)
2. you give a free presentation (which may also cost hundreds of dollar in your time)
and you get a useless pdf Vebleo "certificate".
Do not fall for this bullshit
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Actually I am new in this field. Also this research topic is readily new. So, I need a preferable software to work with this topic. I can't progress my work without any reliable software
You can also use SCAPS software for modelling.
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I am planning to conduct psychological well-being of students in the age group 18-25 yrs. I need a standardised reliable tool to conduct survey research on the subject. kindly suggest the best available tool( instrument) to go ahead with my plans
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Dear Researchers,
I am looking for a research paper that is published in a good journal and confirms the reliability of using NASA-POWER data in hydro-climatic studies.
Best wishes,
Mohammed
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Can anyone recommend reliable (and cheap) FBS suppliers for muscle cell culture?
Of course, we'd love to. Some of the information is on the website, but we can answer any questions you may have about it.
Greetings
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Hair 2017, says "Values above 0.90 (and definitely above 0.95) are not desirable because they indicate that all the indicator variables are measuring the same phenomenon and are therefore not likely to be a valid measure of the construct"
Whereas, following discussion says 0.9 is acceptable unless items are not repeating and calls data as highly reliable.
May i know any literature to justify composite reliability ranging between 0.9 to 0.95 ?
alpha values were described as
excellent (0.93–0.94),
strong (0.91–0.93)
look at "The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education" paper for (Taber, 2016)
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What do you think? I am having a little trouble for organizing this. What is/are the better way to put it?
You usually verify and validate!
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To store my research data, I am seeking options to digitally store scientific data reliably (immutable). What are your thoughts on it?
Always make multiple backups of everything. D. Booth
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An already existing Brief resilience scale (6 items, 5-point Likert scale) was translated and administered among 20 samples for a pilot study, after scoring (3 items were reverse scored) reliability analysis produced a cronbach's alpha of -0.184, with the following error in SPSS: The value is negative due to a negative average covariance among items. This violates reliability model assumptions. You may want to check item codings. What can be done now to increase the Alpha? Kindly provide your valuable input.
Wait a second: Your total N is 20, but you have about 90 items in your survey? This is never going to produce any meaningful results. Also, I doubt that the coping scale is unidimensional or do all 55 items really load onto one factor? If you wanted to report realiability measure such as Cronbach's Alpha, you would have to report them for each sub-scale seperately. I agree with Christian Geiser: You need to increase your sample size considerably.
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What step are involved in establishing validity and Reliability of a translated test? Whether it is necessary to measure these or not. For an instance lets suppose an achievement test is constructed to measure the science achievement of students in English language. Its was well validated and checked for reliability over a large sample. Now It is a well constructed valid and reliable test. Now if someone:
1) Just translate it to another language, what will be the validity and reliability of this new translated test. Whether they need to be again validated and if yes what steps are involved in the establishment of validity and reliability?
2) One just translate the test with few changes only. Most of the items are same and only few items are changed.
Thank you Sir for this detailed answer and clearing my doubt. I too think the same but was little bit confused. Since I'm dealing with some specific problem where test is bit complicated an the way I want to use is a bit controversial and I doubt whether in that situation would I need to re-validate the test or else. I am basically working on Force Concept Inventory. I want to discuss more on this issue. you have time can we talk about it?
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The statistic most commonly used for interrater reliability is Cohen’s kappa, but some argue that it’s overly conservative in some situations (Feinstein & Cicchetti, 1990. High agreement but low kappa). For binary outcomes with a pair of coders, for example, if the probability of chance agreement is high, as few as two disagreements out of 30 could be enough to pull kappa below levels considered acceptable. I’m wondering whether any consensus has emerged for a solution to this problem, or how others address it.
Perfect agreement
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I do not think that there is a consensus and I would like to collect opinions on the more reliable soluble platelet activation marker in plasma.
Thank you
A reliable plasma marker of platelet activation: does it exist?
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Expect more Rainey session next winter.. reliable change in weather forecast for middle east region
Thanks for sharing this piece of information. I don't know if there is room for a wait-and-see approach.
Regards
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What is the validity of the use of reliability and validity criteria in content analysis? If that is systematically true, what method is appropriate?
Hi Khalid for inter-coder reliability test, there are different formulas to use, like Scott's Pi, Krippendorff's alpha, Holsti's coefficient and Cohen's kappa. I recommend an online content analysis platform DiVoMiner® that you can do the reliability test with any of the above-mentioned formula. And there is free version if you don't have a large amount of data. Here are some video guides for every step: https://www.divominer.com/en/blog/2022/07/07/the-six-key-functions-of-divominer-2/
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Dear colleagues working with psychometrics or test theory,
I have a challenge – if not even a problem. Hope you have time to read my note.
We have two ways to think and compute the average standard errors of the measurement (S.E.m.). On the one hand, we have the traditional way based on the reliability of the score, that is, SError = SQRT(SError^2) =SQRT(S^2X×(1-REL) where S^2X is the estimated population variance and REL is an estimate of reliability. This is the basic formula based on definition of reliability. On the other hand, we can calculate the standard error based on the measurement model related to factor models, that is, SError = SQRT(SError^2) =SQRT(SUM(1-Lambda^2) = k - SQRT(SUM(Lambda^2), where k is the number of items in the test and Lambda^2 is the square of the factor loading, that is, (essentially) the correlation between an item and the factor score.
A challenge in these forms is obvious if both the items and score are standardized, as is assumed in the latter form. Then, the estimated population variance is S^2X = 1, and the former estimator gets the form SError = SQRT(1-REL). Always, the magnitude of the standard errors will be SError < 1. Contrary, the latter estimator may give estimates with magnitude greater than 1 up to SError > 8.0 when the number of items increase. That is, the outcomes differ radically from each other. Which one is more credible or are they both off the truth?
If we take credible the idea that the error variance has a cumulative nature related to the number of items, it seems that the estimator based on factor loadings gives us more credible estimate of standard error of the measurement instead of the formula based on reliability (e.g., Omega). We may ask, why would the true standard error not exceed SError = 0.63 – this would be obtained with test reliability of REL = 0.60? However, let us assume a hypothetical test with 100 items with the item–score correlation of wi = 0.4 in each item We would come up with the standard error of SError > 7.7. A relevant question is, how it would be even possible that a score compiled of 100 items with standardized scores to have S.E.m. of a magnitude of more than 7 standard units when the lower boundaries of reliability of the score would be very high?
This phenomenon puzzles me. Have you been thinking this issue? Any ideas of what explains the discrepancy between the outcome of the formulae.
في حالة الاقتباس يكون جاهزا وليس للباحث اي نقطة عمل اي مباشرة للتطبيق اما اذا كان بدون علامات اقتباس فيكون مع من قبل الباحث حسب نوع المقياس والمعايير التي اعدت لهذا الغرض
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Hello
I have been contacted by both LAMBERT and NOVA publishing to publish a book with them. Which one would be the best? Are they real publishers? I have seen their titles on Amazon (with the latter being very expensive), but are they worth or would they actually harm me as an author?
Thank you
Nova Science Publishers now listed under vanity press
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What would be the future trends of solar and energy storage for large-scale asset management for improved reliability, increased revenue, higher energy cost reduction and better asset life extension?
According to the Office of Energy Efficiency and Renewable Energy, the following are some advantages of combining storage and solar energy:
1- Balancing electricity loads – Without storage, electricity must be generated and consumed at the same time, which may mean that grid operators take some generation offline, or “curtail” it, to avoid over-generation and grid reliability issues. Conversely, there may be other times, after sunset or on cloudy days, when there is little solar production but plenty of demand for power. Enter storage, which can be filled or charged when generation is high and power consumption is low, then dispensed when the load or demand is high. When some of the electricity produced by the sun is put into storage, that electricity can be used whenever grid operators need it, including after the sun has set. In this way, storage acts as an insurance policy for sunshine.
2-“Firming” solar generation – Short-term storage can ensure that quick changes in a generation don’t greatly affect the output of a solar power plant. For example, a small battery can be used to ride through a brief generation disruption from a passing cloud, helping the grid maintain a “firm” electrical supply that is reliable and consistent.
3-Providing resilience – Solar and storage can provide backup power during an electrical disruption. They can keep critical facilities operating to ensure continuous essential services, like communications. Solar and storage can also be used for microgrids and smaller-scale applications, like mobile or portable power units.
These are three emerging technologies:
1- Longer charges.
2- Saffer batteries.
3- Storing sunlight as heat.
Batteries are useful for short-term energy storage, and concentrated solar power plants could help stabilize the electric grid. However, utilities also need to store a lot of energy for indefinite amounts of time. This is a role for renewable fuels like hydrogen and ammonia.
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I'm looking to purchase premium plagiarism detection software. Which one is the most reliable and accurate on the market?
Dear respected colleagues,
Related to this valuable discussion thread of Prof. Ashok Silwal, please let me point to another critical issue related to plagiarism software-detectors.
My friend was accused of plagiarism. Why?
After about five months, his promotion process to associate professor was rejected because of plagiarism. When he checked the promotion report, he found that one of his papers was accused of plagiarism and with a 100% percentage. The reason is that his manuscript was checked by his co-author using one of these checkers. It took him several months time of following up to solve the problem and removing the manuscript from their database. After that long period, he re-applies the promotion order for the second time.
Therefore, plagiarism software may retain a copy of the manuscript in its database. To state the truth, this is depending upon the settings and type of account subscription.
So, you may face a similar situation when you submit your manuscript after plagiarism checking to a journal. It may be rejected instantly because it would show up 100% similarity index.
To solve the problem, it may take several months time of following up and removing the manuscript from their database.
If there were accusations of plagiarism, it is not well for your reputation, in any meaning.
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Hi,
my study sample size is 355, and after i performing Mahalanobis test, 7 out of 355 outliners were identified. the initial reliability score of each sub-scale items ranged 0.7 - 0.9, but after i removing these 7 outliners the reliability of all sub-scales were drastically dropped below 0.6, even 0.5. does it mean i cannot remove these outliners because they're naturally generated? (my data set is not normally distributed)
many thanks!!
In general, I would not expect such a large drop in reliability for removing 7 out of 355 observations. So, compare the correlation matrices from the full data set and the reduced data set.
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Dear colleagues,
I'm looking for assays to measure the effects of treatments on IgE release by B cells. Isolation of primary B cells from mouse spleen or human blood, then cultivation, stimulation protocols. Does anyone know whether Interleukin-4 is sufficient (it is known to stimulate IgE release)?
Thank you very much,
Best wishes,
Tineke Vogelaar
I briefly wanted to reach out concerning your inquiry. I would suggest to use the protocol the protocol from Gallagher et al. and combine IL-4 with anti-CD40 for stimulation.
As a negative control you may want to consider titrating in IL-21 as this will potently suppress IgE production as per
which broadly uses a similar B cell culture protocol. For a nice, fast and easy CSR flow cytometry staining protocol (albeit not specifically for IgE) check:
I hope that helps and good luck for your experiments.
All the best & kind regards,
Michael
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Would anyone recomend reliable monoclonal antibody against GIP receptor reactive for murine antigen?
Best to all RG community,
Arek
Maybe the GIPR Antibody from CUSABIO works for you.
This GIPR Antibody had been validated in WB, IHC, and IF.
You can find more details at：
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Hi, I'm looking for a real fog/edge dataset/trace that contains resource and tasks events such as failure, completion, to model trust, reliability, and availability.
Did you find a dataset?
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