Women Entrepreneurs - Diversity and Scaling A case study from Ireland
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Women Entrepreneurs - Diversity and Scaling A case study from Ireland Catriona Lawlor DCU Ryan Academy
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Scaling Application
This document summarizes techniques for scaling GIS applications, including caching, asynchronous processing, instrumentation, and architecture approaches. It discusses caching at different levels (file-based, in-memory), as well as negative caching. Asynchronous processing using queues is presented. Instrumentation methods like logging, tracing, and performance counters are covered. Web control and service-based architectures are compared. The document concludes with an example of how these techniques helped one application scale to support 900 simultaneous users compared to only 30 for another approach.
Final.Ppt007
Attitude scales and measures of emotions can be used to understand consumer evaluations and feelings toward products and advertising. Rating scales can measure overall attitude or specific attributes, and can be comparative (e.g. blind taste tests) or non-comparative. Common scaling techniques include paired comparisons, ranking, rating scales (e.g. Likert, semantic differential), and measuring response latency. Emotions are also important to measure, as feelings can impact behavior, and can be gauged using semantic differentials, pictures, or other scales. Reliability and validity are key in evaluating measurement scales.
Research methodology measurement
This document discusses concepts related to measurement in research. It covers the process of measurement which involves assigning numbers or labels to represent conceptual properties. Measurement begins with formulating a research problem and identifying variables. The goal is to move from abstract concepts to concrete measures. Conceptualization involves clarifying concepts with words and examples. Operationalization defines how concepts will be measured with indicators. Indicators provide imperfect but observable representations of concepts. Multiple indicators are often used to measure concepts. The document also discusses different levels of measurement, sources of error, and assessing reliability and validity.
Mr4 ms10
This document discusses various techniques for scaling and measurement in research, including:
1. Primary scales of measurement like nominal, ordinal, interval, and ratio scales.
2. Comparative scaling techniques like paired comparison, rank order, and constant sum scales that involve comparing objects.
3. Noncomparative or monadic scaling techniques like continuous and itemized rating scales that involve rating single objects like Likert, semantic differential, and Stapel scales.
4. Factors that influence measurement accuracy like true score, systematic error, and random error in the true score model.
Measurement & Scaling
This document discusses different methods of measurement and scaling used in research. It describes four primary scales of measurement: nominal, ordinal, interval, and ratio scales. It also explains several types of attitude measurement scales used including Likert scales, semantic differential scales, Thurstone scales, paired comparison scales, and Stapel scales. These scales allow researchers to measure and analyze characteristics, rank and compare objects, and assess attitudes in quantitative studies.
Attitude measurement and scales amiya 26 th march 2012
Attitude measurement and scales are important for understanding customer thinking and predicting future behavior. There are four main types of scales used in measurement: nominal scales assign categories, ordinal scales rank objects, interval scales measure on a continuum with an arbitrary zero point, and ratio scales have a true zero and allow comparisons of absolute magnitudes. The appropriate scale must be selected based on the attribute being measured.
Measurement & scaling ,Research methodology
Measurement involves associating numbers or symbols to observations in a research study. There are different types of measurement scales including nominal, ordinal, interval, and ratio scales.
Nominal scales simply assign numbers or symbols to label elements without quantitative significance. Ordinal scales rank objects from largest to smallest but do not indicate the magnitude of differences. Interval scales assume equal units between numbers but lack a true zero point. Ratio scales have a true zero value and allow comparisons of differences between numbers through arithmetic operations.
Proper selection of measurement scales and techniques such as paired comparisons, ranking, rating, semantic differentials, and stapel scales depends on the characteristics and data type needed for the research.
1 Attitude Scaling
There are several methods for measuring attitudes, including ranking, rating, sorting, and choice tasks. The Likert scale is a popular method that uses statements with response options ranging from "strongly agree" to "strongly disagree". The semantic differential uses bipolar adjective scales to measure attitudes. Numerical scales use numbers instead of words to identify response categories. Paired comparisons directly compare objects to determine preferences. Graphic rating scales use visual representations instead of words.
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This document summarizes techniques for scaling GIS applications, including caching, asynchronous processing, instrumentation, and architecture approaches. It discusses caching at different levels (file-based, in-memory), as well as negative caching. Asynchronous processing using queues is presented. Instrumentation methods like logging, tracing, and performance counters are covered. Web control and service-based architectures are compared. The document concludes with an example of how these techniques helped one application scale to support 900 simultaneous users compared to only 30 for another approach.
Final.Ppt007
Attitude scales and measures of emotions can be used to understand consumer evaluations and feelings toward products and advertising. Rating scales can measure overall attitude or specific attributes, and can be comparative (e.g. blind taste tests) or non-comparative. Common scaling techniques include paired comparisons, ranking, rating scales (e.g. Likert, semantic differential), and measuring response latency. Emotions are also important to measure, as feelings can impact behavior, and can be gauged using semantic differentials, pictures, or other scales. Reliability and validity are key in evaluating measurement scales.
Research methodology measurement
This document discusses concepts related to measurement in research. It covers the process of measurement which involves assigning numbers or labels to represent conceptual properties. Measurement begins with formulating a research problem and identifying variables. The goal is to move from abstract concepts to concrete measures. Conceptualization involves clarifying concepts with words and examples. Operationalization defines how concepts will be measured with indicators. Indicators provide imperfect but observable representations of concepts. Multiple indicators are often used to measure concepts. The document also discusses different levels of measurement, sources of error, and assessing reliability and validity.
Mr4 ms10
This document discusses various techniques for scaling and measurement in research, including:
1. Primary scales of measurement like nominal, ordinal, interval, and ratio scales.
2. Comparative scaling techniques like paired comparison, rank order, and constant sum scales that involve comparing objects.
3. Noncomparative or monadic scaling techniques like continuous and itemized rating scales that involve rating single objects like Likert, semantic differential, and Stapel scales.
4. Factors that influence measurement accuracy like true score, systematic error, and random error in the true score model.
Measurement & Scaling
This document discusses different methods of measurement and scaling used in research. It describes four primary scales of measurement: nominal, ordinal, interval, and ratio scales. It also explains several types of attitude measurement scales used including Likert scales, semantic differential scales, Thurstone scales, paired comparison scales, and Stapel scales. These scales allow researchers to measure and analyze characteristics, rank and compare objects, and assess attitudes in quantitative studies.
Attitude measurement and scales amiya 26 th march 2012
Attitude measurement and scales are important for understanding customer thinking and predicting future behavior. There are four main types of scales used in measurement: nominal scales assign categories, ordinal scales rank objects, interval scales measure on a continuum with an arbitrary zero point, and ratio scales have a true zero and allow comparisons of absolute magnitudes. The appropriate scale must be selected based on the attribute being measured.
Measurement & scaling ,Research methodology
Measurement involves associating numbers or symbols to observations in a research study. There are different types of measurement scales including nominal, ordinal, interval, and ratio scales.
Nominal scales simply assign numbers or symbols to label elements without quantitative significance. Ordinal scales rank objects from largest to smallest but do not indicate the magnitude of differences. Interval scales assume equal units between numbers but lack a true zero point. Ratio scales have a true zero value and allow comparisons of differences between numbers through arithmetic operations.
Proper selection of measurement scales and techniques such as paired comparisons, ranking, rating, semantic differentials, and stapel scales depends on the characteristics and data type needed for the research.
1 Attitude Scaling
There are several methods for measuring attitudes, including ranking, rating, sorting, and choice tasks. The Likert scale is a popular method that uses statements with response options ranging from "strongly agree" to "strongly disagree". The semantic differential uses bipolar adjective scales to measure attitudes. Numerical scales use numbers instead of words to identify response categories. Paired comparisons directly compare objects to determine preferences. Graphic rating scales use visual representations instead of words.
Measuring values and attitudes- Assessment 2
The document discusses measuring attitudes and values. It defines attitudes as having three components - emotional, opinion/belief, and intended behavior. Values are described as abstract concepts that influence behavior and priorities. The document provides guidelines for writing items to measure attitudes, such as being relevant, specific, avoiding bias and double negatives. It outlines steps for developing an attitude test, including defining the construct, breaking it into categories, generating statements, and pilot testing.
Attitude scales
Attitudes have cognitive, affective, and behavioral components and can be measured using various scales. Common scaling techniques include Likert scales, semantic differentials, and rankings. Likert scales ask respondents to rate level of agreement with statements, semantic differentials use bipolar adjective scales, and rankings order objects based on a given criterion. While scales provide attitude measurements, their ability to predict actual behavior is limited, as external factors also influence behavior.
Attitude Measurement
There are several common methods for measuring attitudes, including Thurstone scales, Likert scales, Guttman scales, and semantic differentials. Thurstone scales were the first to apply scaling principles to attitudes but have been replaced in popularity by Likert scales, which are easier to construct and more valid. Factor analysis is often used to develop attitude scales and ensure items are measuring only one construct.
Attitude Scales
There are two main types of attitude scales: single item scales and multi-item scales. Single item scales measure attitude using a single question or statement, while multi-item scales are needed when attitude cannot be fully captured by one question. Examples of single item scales include itemized category scales, rank order scales, and comparative scales. Multi-item scales include semantic differential scales, staple scales, and Likert scales, which measure attitude using several questions or statements rated on a numeric scale.
measurement and scaling
1. The document discusses various methods of measurement and scaling used in marketing research, including nominal, ordinal, interval, and ratio scales.
2. Comparative scaling techniques like paired comparisons, rank ordering, and constant sum are described and compared to noncomparative rating scales.
3. Factors like sample characteristics, research objectives, and cross-cultural contexts are important considerations in selecting the appropriate scale of measurement. Ethical practices around informed consent and data anonymity are also discussed.
Attitude measurement and scaling techniques
This document discusses various techniques for measuring consumer attitudes, including non-structured methods like in-depth interviews and focus groups, as well as structured methods like scales. It describes several types of scales such as graphic rating scales, semantic differential scales, Thurstone scales, and Likert scales. Additionally, it covers multidimensional scaling as a technique to analyze consumer perceptions of products or brands based on multiple attributes simultaneously. The goal of these various attitude measurement methods is to better understand consumers' beliefs, feelings, and likelihood of purchasing particular products or services.
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Measuring values and attitudes- Assessment 2
The document discusses measuring attitudes and values. It defines attitudes as having three components - emotional, opinion/belief, and intended behavior. Values are described as abstract concepts that influence behavior and priorities. The document provides guidelines for writing items to measure attitudes, such as being relevant, specific, avoiding bias and double negatives. It outlines steps for developing an attitude test, including defining the construct, breaking it into categories, generating statements, and pilot testing.
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Attitudes have cognitive, affective, and behavioral components and can be measured using various scales. Common scaling techniques include Likert scales, semantic differentials, and rankings. Likert scales ask respondents to rate level of agreement with statements, semantic differentials use bipolar adjective scales, and rankings order objects based on a given criterion. While scales provide attitude measurements, their ability to predict actual behavior is limited, as external factors also influence behavior.
Attitude Measurement
There are several common methods for measuring attitudes, including Thurstone scales, Likert scales, Guttman scales, and semantic differentials. Thurstone scales were the first to apply scaling principles to attitudes but have been replaced in popularity by Likert scales, which are easier to construct and more valid. Factor analysis is often used to develop attitude scales and ensure items are measuring only one construct.
Attitude Scales
There are two main types of attitude scales: single item scales and multi-item scales. Single item scales measure attitude using a single question or statement, while multi-item scales are needed when attitude cannot be fully captured by one question. Examples of single item scales include itemized category scales, rank order scales, and comparative scales. Multi-item scales include semantic differential scales, staple scales, and Likert scales, which measure attitude using several questions or statements rated on a numeric scale.
measurement and scaling
1. The document discusses various methods of measurement and scaling used in marketing research, including nominal, ordinal, interval, and ratio scales.
2. Comparative scaling techniques like paired comparisons, rank ordering, and constant sum are described and compared to noncomparative rating scales.
3. Factors like sample characteristics, research objectives, and cross-cultural contexts are important considerations in selecting the appropriate scale of measurement. Ethical practices around informed consent and data anonymity are also discussed.
Attitude measurement and scaling techniques
This document discusses various techniques for measuring consumer attitudes, including non-structured methods like in-depth interviews and focus groups, as well as structured methods like scales. It describes several types of scales such as graphic rating scales, semantic differential scales, Thurstone scales, and Likert scales. Additionally, it covers multidimensional scaling as a technique to analyze consumer perceptions of products or brands based on multiple attributes simultaneously. The goal of these various attitude measurement methods is to better understand consumers' beliefs, feelings, and likelihood of purchasing particular products or services.
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This document summarizes the International Labour Organization's Work in Empowering Women through Entrepreneurship Development (ILO-WED) program and its efforts to generate evidence for policy recommendations on women's entrepreneurship. The ILO-WED program provides business training and support to women entrepreneurs, strengthens support organizations, advocates for women's economic contributions, and commissions research on obstacles women entrepreneurs face. It generates evidence through country situational analyses and impact assessments of its interventions in countries like Kenya and Vietnam. Analysis of past impact assessments from 2010-2014 found that combining business training with finance or follow-up support was more effective for startups and growth than single interventions. Rigorous impact assessments were found to be most useful
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This document discusses Olena Bekh's presentation at a 2014 conference on women's entrepreneurship. It outlines the European Training Foundation's SBA policy assessment framework for evaluating countries' support for women's entrepreneurship. The framework includes 4 indicators for principle 1 on lifelong entrepreneurial learning: 1) policy support frameworks, 2) institutional support for improvement, 3) sharing good practices, and 4) training programs. The document provides details on assessment levels for each indicator.
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The document outlines Italy's agenda and policies for supporting startups. It discusses the definition of an innovative startup, key support measures including reducing red tape, flexible labor laws, funding incentives, and the Startup Visa. Results so far include over 2,700 high-tech startups established and funds allocated for startup loans. The strengths of Italy include its manufacturing culture and access to strategic markets, while weaknesses include a lack of venture capital and connections between startups and traditional companies. Next steps proposed are increasing entrepreneurship education, developing venture capital, facilitating networking, and promoting collaboration.
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This document proposes a web TV channel and portal to promote female entrepreneurship globally using crowdsourced video content. It would showcase stories of female entrepreneurs from around the world, with 50% of content featuring women and 50% men. Content directors would issue calls to filmmakers worldwide seeking entrepreneurship stories from underrepresented countries and regions. The goals are to study female role models, allow self-representation of entrepreneurs, and trigger cultural change through an innovative online production model. Funding would come from various public and private sources.
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