#conjoint method

[5realtor]

Unveiling the Power of Market Research Analytics: A Strategic Imperative for Business Success

Introduction -

In today's fast-paced and hyper-competitive business landscape, gaining a competitive edge requires more than just intuition and guesswork. Enter market research analytics – an essential approach that empowers businesses to make informed decisions, uncover hidden insights, and navigate the complex maze of consumer preferences and market trends. In this blog, we take a deep dive into the world of market research analytics, exploring its significance, methodologies, and the transformative impact it can have on your business.

The Significance of Market Research Analytics -

Market research analytics is the art and science of extracting actionable insights from raw data to drive strategic decision-making. It provides a structured approach to understanding consumer behavior, market dynamics, and industry trends. By leveraging data-driven insights, businesses can:

Enhance Customer Understanding: By analyzing consumer preferences, buying patterns, and sentiment, businesses can tailor their products and services to meet customer needs more effectively.

Competitor Analysis: Market research analytics enables companies to assess competitor strengths and weaknesses, identify gaps in the market, and formulate strategies to gain a competitive advantage.

Optimize Marketing Efforts: Precise data analysis allows businesses to target their marketing campaigns with laser-like precision, reducing costs and increasing conversion rates.

Product Innovation: Uncovers latent customer needs and pain points through data analysis, fuels the creation of innovative products that resonate with the target audience.

Methodologies in Market Research Analytics –

In the domain of Market Research Analytics, diverse methodologies play a pivotal role in facilitating informed and sound decision-making. These methodologies empower businesses with the tools to untangle complex market dynamics, cultivate a deeper understanding of consumer preferences and enable the formulation of impactful strategies.

Quantitative Analysis: This approach involves the use of numerical data to measure, quantify, and analyze various aspects of the market. Surveys, polls, and structured questionnaires are common tools used to gather data for quantitative analysis.

Qualitative Analysis: Qualitative research delves into the subjective aspects of consumer behavior, focusing on insights that are not easily quantifiable. Techniques such as focus groups, in-depth interviews, and content analysis provide valuable context and depth to numerical data.

Predictive Analytics: Using historical data and statistical algorithms, predictive analytics helps forecast future trends, customer behavior, and market shifts. This enables businesses to proactively adapt and strategize.

Text and Sentiment Analysis: With the proliferation of online reviews, social media, and user-generated content, extracting insights from text data has become crucial. Text and sentiment analysis tools decipher consumer sentiment, helping businesses gauge public opinion and adjust strategies accordingly.

Transformative Impact on Business-

Market research analytics has different impacts which transforms business into more successful entity. Brands can improve their bottom line and build stronger relationships with their customers by providing high quality products/services. Embracing market research analytics can usher in a myriad of benefits for businesses:

Informed Decision-Making: Accurate data-driven insights provide a solid foundation, reducing the element of risk and uncertainty in strategic decision-making.  

Cost Efficiency: By focusing resources on targeted strategies and campaigns, businesses can optimize their marketing budgets and operational expenditures.

Agility and Adaptability: Real-time data analysis equips businesses to swiftly respond to changing market conditions, ensuring they remain relevant and adaptable.

Customer-Centric Approach: By understanding consumer preferences and pain points, businesses can align their offerings with customer needs, thereby fostering brand loyalty and customer satisfaction.

Innovation Catalyst: Market research analytics can uncover untapped opportunities, enabling businesses to innovate and stay ahead of the curve.

Conclusion -

In a business landscape driven by data and insights, market research analytics emerges as a strategic imperative for sustainable success. By deciphering the intricate web of consumer behavior, market trends, and competition dynamics, businesses can chart a course towards informed decision-making, innovation, and customer-centricity. Embracing market research analytics isn't just an option; it's a powerful tool that can unlock the doors to unparalleled growth and prosperity in today's dynamic marketplace.

[stagnate-03]

Survey Programming Trends: Adapting to an Ever-Changing Field

In the realm of survey programming, the pace of technological advancement and shifting methodologies is a constant. As organizations and researchers strive to gather actionable insights from diverse populations, staying abreast of the latest trends and adapting to emerging technologies becomes essential. This article delves into the current trends in survey programming and explores how professionals can navigate these changes to enhance their data collection processes and outcomes.

1. Increased Use of Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) have made significant inroads into survey programming, transforming the way surveys are designed, administered, and analyzed.

2. Integration of Mobile and Multichannel Surveys

With the majority of people accessing the internet via smartphones and tablets, optimizing surveys for mobile devices is no longer optional—it's a necessity. Moreover, integrating various channels, such as email, SMS, social media, and web-based platforms, ensures that surveys reach a broader audience and accommodate different user preferences.

3. Emphasis on User Experience and Accessibility

Survey programming is increasingly focusing on user experience (UX) and accessibility to ensure that surveys are engaging and inclusive. This includes designing intuitive interfaces, minimizing survey fatigue, and accommodating respondents with disabilities.

4. Enhanced Data Security and Privacy Measures

With growing concerns about data privacy and security, survey programmers are placing greater emphasis on protecting respondent information. Compliance with regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) is crucial.

5. Leveraging Real-Time Analytics and Dashboarding

Real-time analytics and dashboarding are revolutionizing how survey data is analyzed and presented. Instead of waiting for post-survey data processing, organizations can now access live data streams and interactive dashboards that provide immediate insights.

6. Incorporation of Gamification and Interactive Elements

To boost engagement and response rates, survey designers are increasingly incorporating gamification and interactive elements. Techniques such as quizzes, polls, and interactive scenarios make surveys more engaging and enjoyable for respondents.

7. Adoption of Advanced Survey Methodologies

Survey methodologies are evolving to include more sophisticated approaches, such as conjoint analysis, discrete choice modeling, and experience sampling methods.

8. Focus on Inclusivity and Cultural Sensitivity

As global surveys become more common, there is a growing emphasis on inclusivity and cultural sensitivity. This involves designing surveys that account for diverse cultural contexts, languages, and social norms.

9. Increased Use of Data Integration and Cross-Platform Analytics

Integrating survey data with other sources, such as CRM systems, social media analytics, and transaction records, provides a more comprehensive view of respondents.

10. Growing Importance of Ethical Considerations

Ethical considerations are becoming more prominent in survey programming. This includes ensuring informed consent, minimizing respondent burden, and being transparent about how data will be used.

Conclusion

Survey programming is an ever-evolving field, driven by technological advancements and shifting methodological trends. By staying informed about the latest developments and adapting to new tools and techniques, survey professionals can enhance the effectiveness of their data collection efforts. Embracing AI and ML, optimizing for mobile and multichannel experiences, focusing on user experience and accessibility, and maintaining high standards of data security and ethical practices are key to navigating the complexities of modern survey programming.

To know more read our latest blog: Navigating Trends: The Ever-Evolving in Survey Programming

Also read: survey programming services company

[sydneyorthopeadicsurgeon]

Dr Oliver Khoo: An Authority on Hip Replacement and Orthopaedic Surgery in Sydney

Dr Oliver Khoo stands as a formidable figure in orthopaedic surgery across Sydney and regional New South Wales. With over 14 years of dedicated practice, Dr Khoo has cultivated a reputation grounded in his blend of surgical expertise, patient-focused care, and commitment to community outreach. As a highly recommended hip replacement surgeon in Sydney, his practice in cities like Darlinghurst and Griffith brings innovative solutions to those grappling with hip arthritis, knee injuries, and shoulder ailments. Dr Khoo offers services including anterior hip replacement, knee arthroscopy, and minimally invasive hip surgeries, demonstrating expertise that positions him as a trusted orthopaedic doctor in Sydney. This introduction sets the stage to delve into his profound impact and contributions to orthopaedics, echoed in life-changing hip surgery reviews and patient testimonials.

Expertise in Hip and Knee Surgery

Hip Replacement Surgery

Dr Khoo specializes as a hip replacement surgeon in Sydney, utilizing both anterior and posterior approaches for optimal outcomes. His minimally invasive hip surgery techniques ensure less recovery time and better results. These methods highlight his role as an experienced hip surgeon in Australia, offering patient-focused orthopaedic care tailored to individual needs.

Understanding Knee Replacement

Using computer-navigation technology, Dr Khoo performs precise knee replacement surgeries, enhancing surgical accuracy. His adaptable approaches, such as partial knee replacements, ensure preservation of healthy tissue where possible. This expertise addresses varied patient needs, from those with chronic degeneration to athletes seeking sustained recovery, marking him as a leading knee replacement surgeon in Sydney. Dr Khoo's proficiency in both hip and knee procedures supports his philosophy of providing compassionate orthopaedic care in Sydney, ensuring continuity of care and patient engagement.

Shoulder and Non-Surgical Care

Shoulder Arthroscopy Expertise

In the realm of shoulder surgeries, Dr Khoo's mastery in arthroscopy stands out. He tackles complex cases involving rotator cuff tears and dislocations with careful consideration. His techniques underscore his reputation as an authority on shoulder arthroscopy in Sydney, driving successful surgical outcomes.

Non-surgical Solutions

Beyond surgery, Dr Khoo is committed to exploring non-surgical avenues that can reduce pain and enhance mobility. By offering personalized treatment for hip pain through physiotherapy and lifestyle adjustments, he embodies the principles of patient-centric care. This holistic approach reassures patients seeking alternatives to invasive procedures. Dr Khoo's blend of surgical capability and non-surgical insight transitions seamlessly into his regional outreach and community activities, extending quality care beyond city confines.

Regional Outreach and Influence

Commitment to Griffith, NSW

Serving as a dedicated orthopaedic surgeon in Griffith NSW, Dr Khoo connects urban and rural healthcare, ensuring high-standard care reaches wider regions. His regular travel to regional areas like Griffith demonstrates his dedication to accessibility, minimizing geographic barriers to healthcare.

Educational Contributions

An advocate for education, Dr Khoo contributes as a Conjoint Associate Lecturer at the University of New South Wales. This role enforces his mission to mentor upcoming surgeons and reinforce Sydney's high standards of orthopaedic training, shaping the future o https://medium.com/@orthopedicsydney/elevating-the-standards-in-orthopaedic-surgery-dr-oliver-khoo-an-authority-in-sydney-cd74dbc0d1a1

[codingprolab]

ECSE 543A NUMERICAL METHODS IN ELECTRICAL ENGINEERING Assignment 2

1) Figure 1 shows two first-order triangular finite elements used to solve the Laplace equation for electrostatic potential. Find a local S-matrix for each triangle and a global S-matrix for the mesh, which consists of just these two triangles. The local (disjoint) and global (conjoint) node-numberings are shown in Figure 1(a) and (b), respectively. Also, Figure 1(a) shows the (x, y)-coordinates…

[traverse-or]

Introduction to Choice Modeling in Product Development

Knowing customer preferences is essential in today's cutthroat industry to create items that appeal to target consumers. Choice modeling is one of the best tools available to businesses like Traverse Or that want to innovate and develop customer-centric products. Businesses can optimize product features, price, and overall strategy by using this technique, which offers insightful information on consumer decision-making processes.

What is Choice Modeling?

A statistical method for examining how people choose when given a variety of options is called choice modeling. It makes the assumption that buyers assess products according to certain criteria, including cost, quality, or brand reputation, and select the one that optimizes their perceived usefulness. This approach identifies the fundamental elements that affect purchasing decisions, going beyond superficial preferences.

Key approaches in choice modeling include:

Conjoint analysis assesses the trade-offs that customers make between various product attributes.

Discrete Choice Experiments (DCEs): Model situations in which participants must select between rival goods or services.

Why Use Choice Modeling in Product Development?

Choice modeling transforms product development from guesswork into a data-driven process. It allows companies to:

Identify Key Attributes: Find out which characteristics customers value the most.

Optimize Product Design: Make arrangements that suit the tastes of the consumer.

Forecast Market Demand: Estimate the impact of changing features or prices on sales.

Reduce Risk: Before committing to full-scale production, test concepts.

To make sure their cars satisfy consumer wants, automakers may utilize choice modeling, for instance, to rank items like improved safety features or fuel efficiency.

How Does Choice Modeling Work?

The process of choice modeling typically involves the following steps:

1.Define Objectives:

Decide which good or service will be examined.

Decide which characteristics and levels (such as price range and feature variants) will be examined.

2.Design Experiments:

Create situations in which participants assess fictitious product alternatives.

Make sure all attribute combinations are effectively investigated by using experimental designs.

3.Collect Data:

Conduct tests or surveys with a representative sample of the intended audience.

In decision-making scenarios that are simulated, respondents are asked to select between possibilities.

4. Analyze Results:

Utilize statistical models, such as multinomial logistic regression, to determine each attribute's relative relevance.

Create forecasting tools, like market simulators, to predict consumer behavior in a range of scenarios.

Applications of Choice Modeling

1. Product Design and Innovation

By identifying the aspects that consumers find most appealing, choice modeling helps businesses create goods that cater to certain needs. For example:

It can disclose preferences for screen size, battery life, or brand reputation in consumer electronics.

 It can pinpoint flavor characteristics or packaging styles in food items that influence consumer choices.

2. Pricing Strategy

Businesses can identify the best pricing levels to increase revenue without offending customers by examining price sensitivity.

3. Market Segmentation

Based on preferences, choice modeling can identify discrete consumer groupings, enabling businesses to customize products for various demographics.

4. Concept Testing

Choice modeling can assess different concepts to determine which has the greatest market potential prior to launching a new product. The most promising combinations, for instance, were found by testing 2,304 barbecue sauce possibilities for a fraction of the usual expenditures.

5. Line Extensions and Portfolio Optimization

Businesses can use choice modeling to introduce new products while minimizing cannibalization of existing offerings and maximizing overall profitability.

Case Study: Automotive Innovation

Using decision modeling, an automaker aimed to create a ground-breaking vehicle concept. The procedure was as follows:

Identifying 16 potential features (e.g., autonomous driving capability, eco-friendly materials).

creating trials in which survey respondents are shown 60 different scenarios.

Latent-class segmentation and hierarchical Bayes models are used to forecast customer preferences.

The findings ultimately guided the company's product strategy by allowing them to anticipate sales volumes for various configurations and prioritize high-value features.

Benefits of Choice Modeling for Traverse Or

As a forward-thinking company, Traverse Or can leverage choice modeling to:

Create cutting-edge goods that are suited to consumer demands.

By concentrating on high-impact features, development expenses can be decreased.

Use predictive analytics to improve decision-making.

Traverse Or can maintain a competitive edge and provide solutions that genuinely connect with customers by including choice modeling into your framework for product development.

Conclusion

One effective tool for contemporary product development is choice modeling. Businesses like Traverse Or may use it to optimize designs, decipher customer preferences, and make well-informed strategic choices. In a market that is becoming more and more competitive, companies can meet and even beyond client expectations by implementing this strategy.

[ojmwale]

CONJOINT ANALYSIS

CONJOINT ANALYSIS ~ in Procurement DEFINITION of Conjoint Analysis Conjoint Analysis is a quantitative research method often used at the Requirement Identification Stage of the Procurement process, to understand how people value different features (attributes) of a product or service.Conjoint Analysis essentially involves presenting respondents with a set of hypothetical products or services,…

[pricerest]

Competitor Price Tracking Methods and Why We Need Them?

Competitor Price tracking methods include customer surveys, competitive pricing analysis, conjoint analysis, price tracking sensitivity analysis, price testing, focus groups, historical sales data analysis, and the use of price optimization software. These methods collectively enable businesses to make informed, strategic pricing decisions to enhance profitability and customer satisfaction.

Competitor Price Tracking methods are techniques and approaches used by businesses to gather data and insights related to pricing decisions. Pricing research methods are essential for businesses for several reasons like pricing strategy development, data-driven decision-making, having a competitive analysis, having customer understanding, price optimization, and of course, adaptation to e-commerce.Table Of Contents For Competitor Price Tracking Methods

Price Tracking Strategy Development

Data-Driven Decision Making

Competitive Analysis

Customer Understanding

Price Tracking Optimization

Adaptation to Market Changes

Common Pricing Research Methods

Customer Surveys

Conjoint Analysis

Price Tracking Sensitivity Analysis

Price Testing

Historical Sales Data Analysis

Price Tracking Software

Do you want to be a successful player in e-commerce?

Price Tracking Strategy Development

Competitor Price tracking is a critical element of a business’s overall strategy, and pricing research methods help businesses develop effective pricing strategies. Pricing research methods enable businesses to gather data and insights about customer preferences, market dynamics, and competitor pricing practices, which can inform the development of a pricing strategy that aligns with business objectives and market conditions.

Data-Driven Decision Making

Price trackingresearch methods provide businesses with data and insights that can inform their pricing decisions. By using pricing research methods, businesses can gather quantitative and qualitative data that helps them make informed decisions about pricing levels, pricing models, pricing tactics, and pricing optimization. Data-driven decision-making can result in more effective pricing decisions that are based on evidence rather than guesswork, leading to improved profitability and competitiveness.

Competitive Analysis

Price tracking research methods allow businesses to understand their competitors’ pricing strategies and practices. Businesses can analyze competitors’ pricing levels, promotions, discounts, and other pricing-related activities to gain insights into how they position their products or services in the market and how their prices compare to competitors. This information can help businesses develop competitive pricing strategies that consider market dynamics and competitor pricing actions.

Customer Understanding

Price tracking research methods help businesses understand their customers’ preferences, perceptions, and behaviors related to pricing. By conducting surveys, focus groups, conjoint analysis, and other pricing research methods, businesses can gather insights into customers’ willingness to pay, price sensitivity, and decision-making processes related to pricing. This understanding of customer behavior can help businesses set prices that are attractive to customers while maximizing profitability.

Price Tracking Optimization

Price tracking research methods, such as price testing and price optimization software, enable businesses to optimize their pricing for maximum profitability. By conducting experiments, analyzing historical sales data, and using advanced analytics and machine learning algorithms, businesses can identify pricing opportunities, simulate pricing scenarios, and optimize prices to achieve pricing objectives, such as maximizing revenue, profit margin, or market share.

Adaptation to Market Changes

Markets are dynamic and Price tracking research methods help businesses adapt to changing market conditions. Pricing research methods enable businesses to monitor market trends, customer preferences, and competitive pricing practices, and make adjustments to their pricing strategies accordingly. This helps businesses stay competitive in the market and respond to changing customer demands and competitive pressures.

In summary, Price Monitoring methods are crucial for businesses as they provide data and insights that inform pricing decisions, help develop effective pricing strategies, optimize pricing for maximum profitability, understand customer behavior, and adapt to changing market conditions. By leveraging pricing research methods, businesses can make informed and data-driven pricing decisions that can lead to improved profitability, competitiveness, and customer satisfaction.

Common Pricing Research Methods

Customer Surveys

Conducting surveys among your target customers to gather information about their preferences, perceptions, and willingness to pay for your product or service. Surveys can be conducted online, through email, or in person, and can help you understand how customers perceive the value of your product or service and what they are willing to pay. Competitive Pricing Analysis: Analyzing the pricing strategies and practices of your competitors to gain insights into their pricing decisions. This can involve monitoring and analyzing competitors’ prices, promotions, discounts, and other pricing-related activities to understand how they position their products or services in the market and how your prices compare to theirs.

Conjoint Analysis

A statistical technique used to understand customers’ preferences and trade-offs among different product or service attributes and their associated prices. Conjoint analysis helps businesses understand the relative importance of different attributes and their impact on customers’ purchase decisions and price sensitivity.

Price Tracking Sensitivity Analysis

Conducting experiments or surveys to measure customers’ price sensitivity and elasticity of demand. This involves varying prices and measuring the corresponding changes in demand to understand how customers react to price changes and how sensitive they are to different price points.

Price Testing

Conducting controlled experiments or tests to evaluate the impact of different pricing strategies or tactics on customer behavior and business outcomes. This can involve testing different price levels, pricing models, or pricing tactics in a controlled environment to understand their impact on sales, profitability, and customer behavior. Focus Groups: Conducting qualitative research with a small group of customers to gather insights about their perceptions, preferences, and decision-making processes related to pricing. Focus groups can provide in-depth qualitative insights that can help businesses understand customers’ emotions, motivations, and behaviors related to pricing.

Historical Sales Data Analysis

Analyzing historical sales data, including transaction data, pricing data, and other relevant data, to identify pricing patterns, trends, and correlations. This can help businesses identify pricing opportunities, evaluate the effectiveness of past pricing decisions, and make data-driven pricing decisions for the future.

Price Tracking Software

Do you want to be a successful player in e-commerce?

You must keep a close monitoring on what your competitors are doing

Know the product’s pricing points.

Use Price Monitoring Tools

Use Dynamic Pricing Strategies

Automatically Update Your Products According To Your Competitors.

Join PriceRest for better dynamic pricing strategies for your short- and long-term sales processes.

To have a better understanding of e-commerce for success, join today!

And see What PriceRest can do for you.

[empiricomr]

Max-diff surveys are the analytic approach accessed by researchers and marketers to measure their survey participants’ preference scores on various items. In this survey method, the participants are asked to choose the least and most vital factors in the given choices by the researcher. It helps understand the audience's needs and offers the right space to ask questions and collect required data.

[inspireofficespace1]

Tools And Techniques of Popular Statistical Data Analysis employed In Market Research

Numerous statistical operations can be carried out using statistical data analysis. This type of quantitative research typically involves some sort of statistical analysis and aims to quantify the data. It is a survey-based analysis method that aids market research in figuring out how consumers value specific features, functions, and benefits that make up a particular good or service.

Introduction:

Fundamentally, statistics is a science that involves data gathering, data validation, and data interpretation. Statistical data analysis is the process of employing a variety of statistical processes. It fits within the area of quantitative research, which employs statistical analysis of some kind to attempt to quantify the data. Quantitative data includes descriptive data, such as surveys and observational data. Competitive statistical analysis and market research:  Product managers learn about customers’ demands and market trends through market research. Market research’s subcategory is competitive statistical. There are many tools and methodologies for data analysis available on the market, each with its own set of capabilities. The type of analysis performed and the data used should always guide the tool selection.

Data analysis techniques:

Regression Analysis:

Regression Analysis is a group of statistical methods that examine the relationship between multiple variables. The objective is to understand how changes in independent variables affect the dependent variable.

Regression analysis can be divided into two primary categories: linear and multiple. Linear regression uses a single independent variable to predict the dependent variable, while multiple regression uses two or more independent variables.

For instance, a retail store could use regression analysis to understand the impact of advertising on customer foot traffic. The amount spent on advertising would be the independent variable, and the number of customers would be the dependent variable. The regression curve would show the relationship between these two variables.

Analysis of Variance (ANOVA) Test:

Analysis of Variance (ANOVA) Test is often used with regression analysis to examine the effect of independent variables on the dependent variable. It compares multiple groups to identify relationships between them, such as the impact of different types of advertising on consumer responses.

Conjoint Analysis:

Conjoint Analysis is a survey-based method used in market research to understand how consumers value various product or service attributes. Respondents are presented with a set of possible products or services, and their choices are analyzed to determine the implicit evaluation of each attribute. The results are used to predict market share, income, and the success of new designs.

The conjoint analysis aims to shed light on the reasoning behind complex consumer choices. By asking respondents to make trade-offs as they would in real life, it provides insight into their decision-making process. If you need assistance with survey-based analysis, you can reach out for professional help with statistical data analysis.

The T-Test:

The T-Test is a statistical method used to compare two sets of data to determine if there is a significant difference between their means. This test is often used to test hypotheses, such as whether the mean height of males is different from the mean height of females. To perform a t-test, you need three pieces of information: the mean difference between the two data sets, the standard deviation of each group, and the number of values in each data set.

Professional help with statistical data analysis can ensure an accurate t-test.

Descriptive Analysis:

The descriptive analysis involves analyzing historical data and key performance indicators to evaluate past performance and predict future trends.

Dispersion Analysis:

Dispersion analysis focuses on the spread of the data set and helps identify the factor of variability under study.

Factor Analysis:

Factor analysis is a method used to examine the relationship between multiple variables and identify factors or variables that describe the pattern of relationships among the original variables.

Data Analysis Tools:

Data analysis tools are widely available, each with its unique features. The selection of a tool should depend on the type of analysis and data being used. Some popular data analysis tools include Tableau, Power BI, and R & Python.

Tableau, a business intelligence tool, is designed for individual data analysis and has a user-friendly approach to data representation using pivot tables and charts. It also has data-cleaning capabilities and robust analytical functions.

Power BI, initially a plugin for Excel, has evolved into a powerful data analysis tool with three different versions. It includes a power pivot and the DAX language for advanced analytics, similar to writing Excel formulas. Online Statistical Analyses Services assist with the management of different data analysis tools.

R & Python are flexible programming languages, with R being used for statistical analysis such as regression analysis, normal distribution, and cluster classification algorithms. It can also perform predictive analysis of customer behavior, spending patterns, and preferred items based on their browsing history. It includes concepts of machine learning and artificial intelligence.

SAS:

            The SAS language is a powerful tool for analyzing and manipulating data, allowing for easy access to information from a variety of sources. Its suite of customer profiling products for web, social media, and marketing analytics is extensive and can be used to predict behaviors, effectively manage communications, and optimize results.

Conclusion:

Our main area of expertise is statistical consultation for dissertations. Furthermore, it is crucial for many industries and presents those in need with a wide range of opportunities. Statistical Analysis and Consulting Services are well-liked and used in every aspect of society because they guarantee an organization’s proper and effective operation.

[perkwunos]

In the rest of this paper, I argue that methods that focus on cognitive or intellectual processes like philosophical instruction have inherent limitations when it comes to facilitating democratic communication, and that their exclusive emphasis on cognitive methods has led these theorists to overlook the specific suitability of art and aesthetic media for this task. Employing Dewey’s pragmatist aesthetics, I discuss three features of the arts that make them a powerful method, including (1) their absence of argumentation, (2) their communication of experiential immediacy, and (3) their consciousness-raising and transformation of interpretive frameworks.

…

Art and aesthetics are able to mitigate the effects of motivated ignorance and defensiveness because they are not forms of argument or judgment; they are direct presentations and communications of experience. …

Aesthetic art is powerful not only because of what it avoids, but because of what it specifically and adeptly communicates. …

According to Dewey, “works of art are the only media of complete and unhindered communication between man and man that can occur in a world full of gulfs and walls that limit community of experience” (LW 10:110). The way art achieves this radical form of communication is not by presenting cognitive qualities and pieces of knowledge, but by directly expressing the qualities of experiential immediacy. In cognitive processes of presentation, “intellectual inquirers deal with [experiential] qualities at one remove through the medium of symbols that stand for qualities”; artists, on the other hand, “have for their subject-matter the qualities of things of direct experience” (LW 10:80). Art does not present abstractions, information, or ideas, but “renders available in clear and heightened unities the qualities of experience” (Edman 63). For this reason, Dewey takes art to be the greatest means “for entering sympathetically into the deepest elements in the experience” of other people (LW 10:335). Through works of art, “we install ourselves in modes of apprehending nature that at first are strange to us . . . and, by bringing it to pass, our own experience is re-oriented” (LW 10:337). This capacity of art is particularly valuable in circumstances where a failure to understand the experiences of another person is the phenomenon causing harm.

…

Another problem with cognitive approaches to educating people into democratic communicative dispositions is the difficulty of stepping outside one’s pre-existing interpretive frameworks. …

…

Art and aesthetic experiences can rework and reorient the interpretations that routinely structure people’s perceptions by drawing out pre-existing meanings and presenting them in a new way. While most of our experiences are ones in which interpretive resources operate latently and unconsciously, there is a phase of experience in which our meanings are “undergoing redirection, transitive transformation,” which occurs when familiar objects, events, and people appear “in an unexpected, novel situation, where the familiar presents itself in a new light and is therefore not wholly familiar” (LW 1:233–35). In such experiences, we are more open to the “dissolving and reforming [of] meaning” (LW 1:235). Art is precisely such a “revelation of meaning in the old effected by its presentation through the new” (LW 1:270). The meanings and values that operate without our awareness are brought into particular focus during aesthetic experiences, “as dyes come out of coal tar products when they receive special treatment” (LW 10:17). In every work of art, the medium must be altered—“[m]arble must be chipped; pigments must be laid on canvas; words must be put together.” But “a similar transformation takes place on the side of ‘inner’ materials, images, observations, memories and emotions” (LW 10:81).

Parysa Clare Mostajir, “Conjoint Communicated Experience”: Art as an Instrument of Democracy

[lupinepublishers]

lupine publishers|Is Shilajit a Safe and Non-Toxic Substance to Study the Healing Effect on Oral Ulcers?

Is Shilajit a Safe and Non-Toxic Substance to Study the Healing Effect on Oral Ulcers?

Abstract Aim: Although many studies have described the therapeutic effects of Shilajit (mumijo), a large number of its therapeutic effects are still mysterious. This substance is used because it is considered to be able to be effective in the improvement of oral ulcers. In this study we aimed to determine the cytotoxicity of shilajit. Method and material: This is an in-vitro assessment to determine the cytotoxicity of shilajit on Standard HeLa mucosal epithelial cells. The mumijo used in this project was prepared from the mountains of Sardoyeh region of Jiroft city. Different concentrations of mumijo have been evaluated for cell cytotoxicity by MTT colorimetric method. The initial concentration was (50 mg)/ (2 ml). It is serially diluted, and each concentration is half of the previous one. Optical density was registered for each concentration. Cell viability and cytotoxicity have been calculated for each concentration. Results: The concentrations less than 50×2-6(mg/ml) had acceptable cell viability, and concentrations more than 50×2-6(mg/ ml) were cytotoxic. Conclusion: Shilajit is a natural safe biocompatible substance which can be used in the clinical studies for its therapeutic effect on oral ulcers. Keywords: Cost-Sharing Research; Conjoint Analysis; Economic Axiomatization; Inconsistency; Value Assessment; Choice Models

Introduction There is a global effort for introducing new treatments for oral ulcers with different pathogenesis. The treatment effect is considered during the prescription in addition to the safety and side effects of these treatments. These properties should be according to the routine gold standard treatment modality of oral diseases. One of the approaches is natural compounds, including herbs, which has been taken into the consideration of numerous studies. Using herbs in the ancient medicine has been common in many regions of the world [1]. One of this popular herbal medicine is mumijo. There are many studies about mumijo and its therapeutic effects on the different diseases like brain edema, intracranial pressure [2] and bone pains and fractures [3-5]. Memory improving, neuroprotective effect, anti-inflammatory, antioxidant, anti-allergic effects have also been reported in literatures [6]. Shilajit has also an antiviral activity against a panel of viruses, exhibited a dose-dependent inhibitory activity against herpes simplex types 1 and 2(HSV1, HSV2), human cytomegalovirus (HCMV), and human respiratory syncytial virus (RSV) infectivity in vitro but it was inactive against human rotavirus (HRV) and vesicular stomatitis virus (VSV) [7]. The biological effect of Shilajit has been attributed to di- benzo- alpha-pyrone, humic acid, fulvic acid, a bioactive compound and folic acid contents. [8,9] Shilajit is a light brownish material obtained from rocks, such as the Himalaya Mountain between India and Nepal, as well as mountains in Russia, Tibet, Afghanistan, and Norwa [8].

Asian Shilajit (Mumiju) includes 20% minerals, 15% protein, 5% lipids, 5% steroids and some carbohydrates, alkaloids and amino acids [10]. With regard to the many beneficial effects mentioned for mumijo (Shilajit), we hypothesized that the administration of this substance can be effective in the improvement of oral ulcers. To set up a new therapeutic formulation of Shilajit for oral ulcer treatment, it is necessary to assess the epithelial cytotoxicity of Shilajit. HeLa cell line is cervical epithelioid carcinoma cells with fast growth. Within 24 hours, the initial cell count becomes double, and this allows them to be used in cell cytotoxicity evaluations of different medication, toxins and Radiation [11,12]. In many studies, HeLa cells are used for toxicity assessment of different medicine [13,14]. In the present study, different concentrations of Shilajit were used to determine the cytotoxicity of HeLa cells as epithelial- like cells. Material and Methods This study is an in-vitro evaluation on shialjit (mumijo) which is collected and prepared from the Sardoyeh Mountains of Jiroft city in Kerman province of Iran. 25 mg of Shilajit was disinfected and dissolved in 10 ml of methanol and boiled for70 min. The product was centrifuged at 2500 rpm for 10 min. The supernatant fluid was used for further evaluations (Figure 1)

Cell culture The cytotoxicity of shilajit has been assessed on standard HeLa mucosal epithelial cells. Hela cells were grown on DMEM media containing 10% GIBCO (fetal serum bovine), 100 ug/ml penicillin and 100 ug/ml streptomycin. Then, they were piped into 96-well microliter plates and incubated for a day at 37°C and under 5% pressure of carbon dioxide [15]. In order to dilute the solutions, we consider 14 wells for each dilution. In the first 4 wells, the pure form of shilajit solution was added. In the other wells DMEM 2% was inserted and serial dilution was done by multi-channel method from the first column to the next columns in 96-well microliter plates. Then, they were incubated for 24-72h. MTT staining assessment The shilajit solution was then removed from the wells by phosphate buffered saline (PBS) wash and 1X MTT was added in each well. The plates were kept in 37°C for 3 h and shaken every 30 minutes. DMSO or isopropanol (isopropanol is better) was added in all the wells for one to two minutes, the plates were placed on a shaker to dissolve the paint deposit in isopropanol [16]. The absorbance of each well was read at 630-410 nm. The optical density of each well containing hela cells and shilajit solutions and control group including only hela cells in normal culture medium without any other solution were registered to compare. Each test was repeated three times and cell loss in the medium was measured (Table 1).

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[jameswalterblogs]

Introduction to SPSS software

SPSS is a flexible and responsive tool that may be used to perform a variety of statistical processes. SPSS assumes that you want to import an existing file and prompts you with a dialogue window to choose the file to open. If we open a file, it will make it easy to traverse the SPSS interface and windows. Scholars seek SPSS assignment help to avoid negative academic consequences.

Why use SPSS syntax?

The best SPSS practice is to start with syntax. Several explanations for this include the following:

You'll always know which actions you followed in which sequence, allowing you to demonstrate that your findings are accurate;

If you make a mistake - and don't we all?

In a matter of seconds, you may rectify it and redo everything you did;

You'll work much quicker than if you were using the menu, and you'll never have to repeat steps;

Several of the most useful SPSS methods and time saves are only accessible in syntax.

To avoid a negative impact on their academics, many scholars seek SPSS assignment help services.

Main functions of SPSS

SPSS provides four applications to help researchers with their advanced data analysis requirements.

Statistics Program

The Statistics programme in SPSS offers several core statistical techniques, such as cross-tabulation, frequency analysis, and Pearson correlation statistics.

Modeller Program

The Modeler module in SPSS allows researchers to create and evaluate prediction models via the use of sophisticated statistical processes.

Text Analytics for Surveys Program

SPSS's Deep Learning for Surveys software assists surveys administrators in deriving actionable judgements from open-ended survey replies.

Visualization Designer

The Visualization Designer feature in SPSS allows researchers to quickly create a variety of visualizations from their data collected, including density maps & radial boxplots.

Benefits of using SPSS software

Documentation for SPSS Export

Using SPSS to Create and Manipulate Survey Variables

A Quick Tutorial on SPSS Variables and Value Totals

Tips for SPSS Analysis: The Temporary Command

SPSS Expert: Using SPSS to Divide States into Regions

Using SPSS Syntax to Convert Survey Variables

What are the modules in SPSS?

The following modules are included in SPSS: 

Base Statistics 

Advanced Statistics 

Custom Tables 

Forecasting 

Regression 

Missing Values 

Bootstrapping 

Complex Samples 

Categories 

Decision Trees 

Conjoint 

Data Preparation 

Direct Marketing 

Neural Networks 

Exact Tests 

Amos

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These are certain benefits associated with online assignment expert services:

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[sydneyorthopeadicsurgeon]

Dr Oliver Khoo: Sydney's Leading Hip Replacement Expert

For anyone seeking expert orthopaedic care in Sydney, Dr Oliver Khoo stands out as a preeminent hip replacement surgeon with a reputation that precedes him. With over 14 years of dedicated service, Dr Khoo has established himself as a trusted name in hip and knee surgeries, specially designed for minimally invasive and anterior approaches. His expertise, backed by advanced training and a compassionate approach, makes Dr Khoo a vanguard in orthopaedic surgery in New South Wales. Providing both surgical options and non-surgical treatments, he ensures comprehensive patient-focused orthopaedic care tailored to individual needs.

The Expertise of Dr Oliver Khoo

Surgical Proficiency

Dr Khoo's commitment to orthopaedic excellence is reinforced by his mastery of both hip replacement techniques and complex arthroscopies. These skills were honed further through international subspecialty training in Europe and Asia, equipping him with cutting-edge methods such as minimally invasive hip surgery. His focus on improving surgical outcomes ensures that patients receive the best possible care, with particular emphasis on personalised treatment for hip pain.

Certification and Achievements

The Fellowship of the Royal Australasian College of Surgeons is only one of Dr Khoo's many accolades, certifying his specialist skills. Furthermore, his role as a Conjoint Associate Lecturer at the University of New South Wales underscores his dedication to teaching the next generation of orthopaedic surgeons, enhancing both the academic field and clinical practices in Sydney. Dr Khoo's surgical skill extends beyond the operating theatre to influencing cutting-edge techniques, a topic I will expand on in the next section.

Innovations in Orthopaedic Surgery

Advanced Techniques

Dr Khoo integrates advanced orthopaedic procedures in his practice, such as computer-navigated surgeries for knee replacements. This technology ensures precision in surgery, which translates to improved recovery times and patient satisfaction. His work as a knee replacement surgeon in Sydney is driven by this innovative spirit and commitment.

Non-surgical Solutions

Believing in holistic care, Dr Khoo offers non-surgical hip treatment options that include physiotherapy and lifestyle modifications. His approach caters especially to those unsuitable for surgery, ensuring everyone gets the care they deserve. As we transition to the impact of these innovations, it is clear that Dr Khoo's holistic patient care model stands out in the orthopaedic community.

Dr Khoo's Community Impact

Regional Outreach

A defining trait of Dr Khoo's practice is his service to regional areas such as Griffith, NSW. His regular clinics there reduce the gap in healthcare services between urban centers and rural communities, ensuring the same high level of care regardless of location. This outreach is crucial for patients unable to travel long distances for treatment.

Patient Stories

Testimonials such as Rahul's, who avoided surgery through Dr Khoo's non-invasive treatment plan, exemplify the life-changing impact he has on patients. By offering personalized care strategies, Dr Khoo does more than just heal-he offers hope and renewed quality of life. As we examine the broader influence Dr Khoo has, his practice not only affects individual lives but elevates the standards in orthopaedic care across New South Wales.

Conclusion: The Lasting Influence of Dr Oliver Khoo

With a blend of surgical skill, empathetic care, and community involvement, Dr Oliver Khoo emerges as one of Sydney's most trusted orthopaedic figures. His implementation of both cutting-edge surgical technology and patient-centered strategies addresses the physical and emotional aspects of patient health. Dr Khoo continues to redefine what it means

[librarycards]

What do you think of Detecting violations of unidimensionality&Additive conjoint measurement and psychologys resistance toward falsifiability by Moritz Heene and Stevens forgotten crossroads by Joshua McGrane?

Well, it should come as no surprise to anyone that I’m no friend to quantitative approaches to the mind, personhood, etc. 

The push toward scientism in psychology has been growing for some time now, alongside the corporatization of the university: this obsession with quant. measurements is related to demands for efficiency and evidence-based practice and other buzzwords that render psych a productive site of knowledge. it’s funny because this approaches to the individualized psyche as a site of measurable, inherent traits is itself a neoliberal one, making the forms of measurement Heene and others critique neoliberal both in form and in content. yikes!

and we see that dual problem play out on a meta-level, too. people have to fudge, etc. results, take small sample sizes, and the like in order to push out results more quickly and satisfactorily, undermining their search for objective truth in pursuit of efficient content-production! and the more numbers they feed the university, the more it demands, and the more it reinscribes quant. measures as the only ways of understanding personhood, leading to more small sample sizes, more fudged numbers....you see where this is going. 

this is the state of the field: postenlightenment, science-fetishizing psychologists claiming you can measure people empirically, who will do anything -- including fuck with their own hallowed methods -- to satisfy the endless demands of academia in order to prove that this is the case. it’s a fucking mess.

[madhliharinathredd]

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