The document discusses various concepts related to measurement, scaling, questionnaire design, and sampling in market research. It defines different scales of measurement including nominal, ordinal, interval, and ratio scales. It also discusses the concepts of reliability and validity in scale development. Key aspects of questionnaire design like question wording, sequence, and layout are covered. Different probability and non-probability sampling techniques such as simple random sampling, stratified sampling, cluster sampling, convenience sampling, and snowball sampling are explained.
Scaling is the process of measuring or ordering entities with respect to quantitative attributes or traits. With comparative scaling, the items are directly compared with each other .In non -comparative scaling each item is scaled independently of the others.
Scaling is the process of measuring or ordering entities with respect to quantitative attributes or traits. With comparative scaling, the items are directly compared with each other .In non -comparative scaling each item is scaled independently of the others.
UNIT – I: INTRODUCTION TO BUSINESS RESEARCH: Meaning, Scope and Significance,
Characteristics of Good Research, Types of Research, Research Process, Scientific method-
Blocks, Identifying Research Problem, Concepts, Constructs, Variables, Proposition, and
Theoretical framework.
Scope of Business Research, Business research methods, Meaning of business research, Scope of business research, Production management, Personnel management, Marketing management, Financial management, materials management, General management, Banking management.
Subscribe to Vision Academy for Video Assistance
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
A presentation on demand forecasting ,explaining its meaning ,levels of demand forecasting , Techniques ,Factors , Benefits , and a small case study on Cadbury India ltd on Demand Forecasting
UNIT – II: RESEARCH FORMULATION AND DESIGNING: Defining and formulating the
research problem-Selecting the problem, Literature review-Importance of literature review
in defining a problem-Sources of collecting reviews, Development of working hypothesis.
Ethical issues in formulation of business research. Research design-Basic Principles, Need of
research design - Features of good design, Types of research design-Descriptive,
Exploratory, Experimental.
UNIT – I: INTRODUCTION TO BUSINESS RESEARCH: Meaning, Scope and Significance,
Characteristics of Good Research, Types of Research, Research Process, Scientific method-
Blocks, Identifying Research Problem, Concepts, Constructs, Variables, Proposition, and
Theoretical framework.
Scope of Business Research, Business research methods, Meaning of business research, Scope of business research, Production management, Personnel management, Marketing management, Financial management, materials management, General management, Banking management.
Subscribe to Vision Academy for Video Assistance
https://www.youtube.com/channel/UCjzpit_cXjdnzER_165mIiw
A presentation on demand forecasting ,explaining its meaning ,levels of demand forecasting , Techniques ,Factors , Benefits , and a small case study on Cadbury India ltd on Demand Forecasting
UNIT – II: RESEARCH FORMULATION AND DESIGNING: Defining and formulating the
research problem-Selecting the problem, Literature review-Importance of literature review
in defining a problem-Sources of collecting reviews, Development of working hypothesis.
Ethical issues in formulation of business research. Research design-Basic Principles, Need of
research design - Features of good design, Types of research design-Descriptive,
Exploratory, Experimental.
3. Secondary Data, Online Information Databases, and Measurement.docxtamicawaysmith
3. Secondary Data, Online Information Databases, and Measurement Scaling
1
Primary Scales of Measurement
7
3
8
Scale
Nominal Numbers
Assigned
to Runners
Ordinal Rank Order
of Winners
Interval Performance
Rating on a
0 to 10 Scale
Ratio Time to Finish, in
Seconds
Third
place
Second
place
First
place
Finish
Finish
8.2
9.1
9.6
15.2
14.1
13.4
Primary Scales of Measurement
Nominal Scale: The numbers serve only as labels or tags for identifying and classifying objects.
Ordinal Scale: A ranking scale
Interval Scale: Numerically equal distances on the scale represent equal values in the characteristic being measured.
Ratio Scale: Possesses all the properties of the nominal, ordinal, and interval scales. It has an absolute zero point.
Illustration of Scales of Measurement
Nominal Ordinal Ratio
Scale Scale Scale
Preference $ spent last No. Store Rankings 3 months
1. Parisian
2. Macy’s
3. Kmart
4. Kohl’s
5. J.C. Penney
6. Neiman Marcus
7. Marshalls
8. Saks Fifth Avenue
9. Sears
10.Wal-Mart
Interval
Scale
Preference Ratings
1-7
A Classification of Scaling Techniques
Comparative Scaling Techniques
Paired Comparison Scaling
A respondent is presented with two objects and asked to select one according to some criterion.
The data obtained are ordinal in nature.
Paired comparison scaling is the most widely-used comparative scaling technique.
With n brands, [n(n - 1) /2] paired comparisons are required.
Under the assumption of transitivity, it is possible to convert paired comparison data to a rank order.
Obtaining Shampoo Preferences
Using Paired Comparisons
Instructions: We are going to present you with ten pairs of shampoo brands. For each pair, please indicate which one of the two brands of shampoo you would prefer for personal use.
Recording Form:
aA 1 in a particular box means that the brand in that column was preferred over the brand in the corresponding row. A 0 means that the row brand was preferred over the column brand. bThe number of times a brand was preferred is obtained by summing the 1s in each column.
Paired Comparison Selling
The most common method of taste testing is paired comparison. The consumer is asked to sample two different products and select the one with the most appealing taste. The test is done in private and a minimum of 1,000 responses is considered an adequate sample. A blind taste test for a soft drink, where imagery, self-perception and brand reputation are very important factors in the consumer’s purchasing decision, may n ...
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Business Research Methods. measurement questionnaire and sampling
1. WEEK4 MEASUREMENT, SCALING QUESTIONNAIRE DESIGN AND SAMPLING By Dr. Muhammad Ramzan [email_address] , 03004487844 Edited by Ahsan Khan Eco [email_address] 03008046243
2.
3. Primary Scales of Measurement 7 3 8 Scale Nominal Numbers Assigned to Runners Ordinal Rank Order of Winners Interval Performance Rating on a 0 to 10 Scale Ratio Time to Finish, in Seconds Finish Finish 8.2 9.1 9.6 15.2 14.1 13.4 Third place Second place First place
4.
5.
6.
7.
8. Illustration of Primary Scales of Measurement Nominal Ordinal Ratio Scale Scale Scale Preference $ spent last No. Store Rankings 3 months 1. Lord & Taylor 2. Macy’s 3. Kmart 4. Rich’s 5. J.C. Penney 6. Neiman Marcus 7. Target 8. Saks Fifth Avenue 9. Sears 10.Wal-Mart Interval Scale Preference Ratings 1-7 11-17
10. Scale Evaluation Discriminant Nomological Convergent Test/ Retest Alternative Forms Internal Consistency Content Criterion Construct Generalizability Reliability Validity Scale Evaluation
11.
12.
13.
14.
15.
16.
17.
18.
19. 1. Do you believe that private citizens have the right to own firearms to defend themselves, their families, and property from violent criminal attack? Yes No Undecided 2. Do you believe that a ban on the private ownership of firearms would be significantly reduce the number of murders and robberies in your community? Yes No Undecided
20. 1a. How many years have you been playing tennis on a regular basis? Number of years: __________ b. What is your level of play? Novice . . . . . . . . . . . . . . . -1 Advanced . . . . . . . -4 Lower Intermediate . . . . . -2 Expert . . . . . . . . . -5 Upper Intermediate . . . . . -3 Teaching Pro . . . . -6 c. In the last 12 months, has your level of play improved, remained the same or decreased? Improved. . . . . . . . . . . . . . -1 Decreased. . . . . . . -3 Remained the same . . . . . -2
21. 2a. Do you belong to a club with tennis facilities? Yes . . . . . . . -1 No . . . . . . . -2 b. How many people in your household - including yourself - play tennis? Number who play tennis ___________ 3a. Why do you play tennis? (Please “X” all that apply.) To have fun . . . . . . . . . . -1 To stay fit. . . . . . . . . . . . -2 To be with friends. . . . . . -3 To improve my game . . . -4 To compete. . . . . . . . . . . -5 To win. . . . . . . . . . . . . . . -6 b. In the past 12 months, have you purchased any tennis instructional books or video tapes? Yes . . . . . . . -1 No . . . . . . . -2
22. Dear Passenger: American Airlines is pleased to have you on board today. To help us provide the best service possible, we need to know more about you and your opinions of our service. If you are over 11 years old, we would appreciate it if you would complete this questionnaire. Your flight attendant will pick up your completed questionnaire shortly. Thank you.
23. 1. Please indicate: Flight number ___________ Date_____________ 2a. At the city where you boarded this particular plane, did you make a connection from another flight? Yes, from American . . . . 1 Yes, from Other Airline . . 2 No . . . . . . . . . . . . . . . . . . 3 b. Did you board this plane at the airport from which it just took off, or were you a through passenger for which that was an intermediate stop? Boarded here . . . . . . . . . . 1 Through passenger. . . . . . 2 3. How would you rate the overall service from American for this flight, all things considered, from your arrival at the airport terminal until now? Excellent Good Fair Poor Overall Service . . . . . . . . . . 1 2 3 4
29. The Sampling Design Process Define the Population Determine the Sampling Frame Select Sampling Technique(s) Determine the Sample Size Execute the Sampling Process
33. Classification of Sampling Techniques Probability Sampling Techniques Systematic Sampling Stratified Sampling Cluster Sampling Other Sampling Techniques Simple Random Sampling Sampling Techniques Nonprobability Sampling Techniques Convenience Sampling Judgmental Sampling Quota Sampling Snowball Sampling
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
44.
45. Procedures for Drawing Probability Samples Simple Random Sampling 1. Select a suitable sampling frame 2. Each element is assigned a number from 1 to N (pop. size) 3. Generate n (sample size) different random numbers between 1 and N 4. The numbers generated denote the elements that should be included in the sample
46. Procedures for Drawing Probability Samples 1. Select a suitable sampling frame 2. Each element is assigned a number from 1 to N (pop. size) 3. Determine the sampling interval i:i=N/n. If i is a fraction, round to the nearest integer 4. Select a random number, r, between 1 and i, as explained in simple random sampling 5. The elements with the following numbers will comprise the systematic random sample: r, r+i,r+2i,r+3i,r+4i,...,r+(n-1)i Systematic Sampling
47. Procedures for Drawing Probability Samples 1. Select a suitable frame 2. Select the stratification variable(s) and the number of strata, H 3. Divide the entire population into H strata. Based on the classification variable, each element of the population is assigned to one of the H strata 4. In each stratum, number the elements from 1 to N h (the pop. size of stratum h) 5. Determine the sample size of each stratum, n h , based on proportionate or disproportionate stratified sampling, where 6. In each stratum, select a simple random sample of size n h n h = n h=1 H Stratified Sampling
48. Procedures for Drawing Probability Samples Cluster Sampling 1. Assign a number from 1 to N to each element in the population 2. Divide the population into C clusters of which c will be included in the sample 3. Calculate the sampling interval i, i=N/c (round to nearest integer) 4. Select a random number r between 1 and i, as explained in simple random sampling 5. Identify elements with the following numbers: r,r+i,r+2i,... r+(c-1)i 6. Select the clusters that contain the identified elements 7. Select sampling units within each selected cluster based on SRS or systematic sampling 8. Remove clusters exceeding sampling interval i. Calculate new population size N*, number of clusters to be selected C*= C-1, and new sampling interval i*.
49. Procedures for Drawing Probability Samples Repeat the process until each of the remaining clusters has a population less than the sampling interval. If b clusters have been selected with certainty, select the remaining c-b clusters according to steps 1 through 7. The fraction of units to be sampled with certainty is the overall sampling fraction = n/N. Thus, for clusters selected with certainty, we would select n s =(n/N)(N 1 +N 2 +...+N b ) units. The units selected from clusters selected under PPS sampling will therefore be n*=n- n s . Cluster Sampling