This document discusses several issues related to population growth and its impacts, including overpopulation, resource scarcity, unemployment, and conflict over limited resources. It raises questions about building human capital, measuring human quality, and the potential for increased crime rates, space colonization, and shortages of building materials. It also links population changes to how resources are allocated and notes that overpopulation could potentially lead to wars over land and materials.
9 - explaining tools build up in qualitative research ( Dr. Abdullah Al-Berai...Rasha
油
The document discusses various qualitative research methods and techniques. It provides a taxonomy of qualitative methods categorized by level of analysis, including individual, group, and organizational. It also discusses different qualitative research strategies like case studies, stakeholder analysis, and hermeneutics. The document outlines general steps in qualitative research and principles of case study research, including using multiple sources of evidence, creating a study database, and maintaining a chain of evidence.
11 - qualitative research data analysis ( Dr. Abdullah Al-Beraidi - Dr. Ibrah...Rasha
油
The document describes a dataset collected from students in a writing class. As an assignment, students were asked to describe in detail how they write, without consulting others. This generated a set of 10 individual narratives for analysis. Permission was obtained to use the anonymized data for teaching purposes. The total qualitative data available comprises 10 files, each containing a short student-authored narrative on the writing process.
This document discusses the key aspects of qualitative research design. It explains that qualitative research relies on data from interviews, observations, and documents rather than testing hypotheses. The goal is to understand people's behaviors and meanings rather than measuring things. Some common qualitative designs mentioned are grounded theory, ethnography, phenomenology, case studies, and content analysis. Sample sizes are small and purposeful rather than random. Data collection methods include interviews, observations, and documents. Analysis uses an inductive approach to identify themes. Researchers are the main instrument and context is important for understanding findings.
1. Managerial accounting involves identifying, measuring, analyzing, interpreting, and communicating financial and non-financial information to assist managers in planning, directing, and controlling organizational activities.
2. Managerial accounting adds value to organizations by providing information for decision-making, planning, and controlling operations, assisting in directing activities, and motivating and measuring employee performance.
3. Managerial accounting differs from financial accounting in that it provides internal information for decision-making rather than external financial reports, and it focuses on supporting management rather than satisfying external reporting requirements.
This document provides an introduction to qualitative research methods in information sciences and technologies. It discusses the differences between quantitative and qualitative methods, noting that while traditionally seen as incompatible, they are actually complementary. Qualitative methods are increasingly used in fields like information systems and human-computer interaction due to the complex social and human factors involved. The document outlines some key aspects of quantitative and qualitative research approaches.
Qualitative research aims to understand people's experiences and interpretations of the world. It provides rich, detailed descriptions through methods like interviews, observations, and written responses. The researcher immerses themselves in the topic to understand perspectives without assumptions. Main types include case studies, grounded theory, phenomenology, and ethnography. Data collection involves interactions, written responses, and observations. Analysis begins during data collection to guide further inquiry. The process moves from specific to general understanding through a funnel or inductive approach. Validity is increased through triangulation of multiple data sources, types, and collection methods. Strengths include understanding context, but it is time consuming and results may not generalize. Mixed methods combine qualitative and quantitative approaches at different stages of
Quantitative and qualitative research methods differ in important ways. Quantitative research uses statistical analysis of numeric data from standardized instruments, while qualitative research relies on descriptive analysis of text or image data collected from a small number of individuals. The two approaches also differ in how the research problem is identified, how literature is reviewed, how data is collected and analyzed, and how findings are reported. Common quantitative designs include experimental, correlational, and survey designs, while qualitative designs include grounded theory, ethnographic, narrative, and action research designs. The best approach depends on matching the research questions and goals.
11 - qualitative research data analysis ( Dr. Abdullah Al-Beraidi - Dr. Ibrah...Rasha
油
The document describes a dataset collected from students in a writing class. As an assignment, students were asked to describe in detail how they write, without consulting others. This generated a set of 10 individual narratives for analysis. Permission was obtained to use the anonymized data for teaching purposes. The total qualitative data available comprises 10 files, each containing a short student-authored narrative on the writing process.
This document discusses the key aspects of qualitative research design. It explains that qualitative research relies on data from interviews, observations, and documents rather than testing hypotheses. The goal is to understand people's behaviors and meanings rather than measuring things. Some common qualitative designs mentioned are grounded theory, ethnography, phenomenology, case studies, and content analysis. Sample sizes are small and purposeful rather than random. Data collection methods include interviews, observations, and documents. Analysis uses an inductive approach to identify themes. Researchers are the main instrument and context is important for understanding findings.
1. Managerial accounting involves identifying, measuring, analyzing, interpreting, and communicating financial and non-financial information to assist managers in planning, directing, and controlling organizational activities.
2. Managerial accounting adds value to organizations by providing information for decision-making, planning, and controlling operations, assisting in directing activities, and motivating and measuring employee performance.
3. Managerial accounting differs from financial accounting in that it provides internal information for decision-making rather than external financial reports, and it focuses on supporting management rather than satisfying external reporting requirements.
This document provides an introduction to qualitative research methods in information sciences and technologies. It discusses the differences between quantitative and qualitative methods, noting that while traditionally seen as incompatible, they are actually complementary. Qualitative methods are increasingly used in fields like information systems and human-computer interaction due to the complex social and human factors involved. The document outlines some key aspects of quantitative and qualitative research approaches.
Qualitative research aims to understand people's experiences and interpretations of the world. It provides rich, detailed descriptions through methods like interviews, observations, and written responses. The researcher immerses themselves in the topic to understand perspectives without assumptions. Main types include case studies, grounded theory, phenomenology, and ethnography. Data collection involves interactions, written responses, and observations. Analysis begins during data collection to guide further inquiry. The process moves from specific to general understanding through a funnel or inductive approach. Validity is increased through triangulation of multiple data sources, types, and collection methods. Strengths include understanding context, but it is time consuming and results may not generalize. Mixed methods combine qualitative and quantitative approaches at different stages of
Quantitative and qualitative research methods differ in important ways. Quantitative research uses statistical analysis of numeric data from standardized instruments, while qualitative research relies on descriptive analysis of text or image data collected from a small number of individuals. The two approaches also differ in how the research problem is identified, how literature is reviewed, how data is collected and analyzed, and how findings are reported. Common quantitative designs include experimental, correlational, and survey designs, while qualitative designs include grounded theory, ethnographic, narrative, and action research designs. The best approach depends on matching the research questions and goals.
悗惠惘 悋惠惡悋惠 悴惺悸 悋惠惡悋惠 悋悖惘悸 惡悋惠惺悋 惺 惺惘惷 悋愆悋惘悸 悋惆 惠悋惡 惡惘 2017.
Empowering Local Innovation in Public and School Libraries: Thinking out of the Box
SIBF / ALA Library Conference, Sharjah, Nov. 2017
2. Defining innovation 惠惺惘 悋悒惡惆悋惺 Identifying innovation in qualitative research 惠忰惆惆 悋悒惡惆悋惺 悋悖惡忰悋惓 悋惺悸 communicating innovation in social research methods 惠忰 悋悒惡惆悋惺 悖愕悋惡 悋惡忰惓 悋悋悴惠悋惺 Identifying the challenges in methodological innovation 惠忰惆惆 悋惠忰惆悋惠 悋悒惡惆悋惺 悋悴
3. Importance of methodological innovation in expanding knowledge economy. 悖悸 悋悒惡惆悋惺 悋悴 惠愕惺 悋惠惶悋惆 悋惺惘悸 Importance of methodological innovation for global competition 悖悸 悋悒惡惆悋惺 悋悴 悋惠悋愕 悋惺悋 Seen as a response to the increasingly rich and complex data sets, the most advanced techniques, strategies and tools 惺惠惡惘 悋悒惡惆悋惺 悋愕惠悴悋惡悸 悴惺悋惠 悋惡悋悋惠 悋惺惆悸 悋惠悋悸 悖惓惘 悋惠悋惠 悋悋愕惠惘悋惠悴悋惠 悋悖惆悋惠 惠惆悋 Innovation for survival 悋悒惡惆悋惺 悖悴 悋惡悋悄
4. The UK Department for Trade and Industry (DTI) defines innovation as: 惺惘 悋愕 悋惡惘愀悋 惠悴悋惘悸 悋惶悋惺悸 悋悒惡惆悋惺 悋惠惺惘 悋惠悋 : Innovation involves the creation of new designs, concepts and ways of doing things and their exploitation and subsequent diffusion through the rest of the economy and society [DTI (2003)] 悋悒惡惆悋惺 惺悸 惠惠惷 惷惺 悽愀愀悋惠 悋 愀惘 悴惆惆悸 悋 惡悋悖惺悋 悋悒悋惆悸 悋 悋悋惠愆悋惘 悋悋惠悴 惺 悵 悋悖愆愀悸 悋悋惠惶悋惆 悋悴惠惺 ( 悋愕 悋惡惘愀悋 惠悴悋惘悸 悋惶悋惺悸 2003) Aspects of innovation 惴悋惘 悋悒惡惆悋惺 Invention innovation (new ideas) 悋悋悽惠惘悋惺 悋悒惡惆悋惺 ( 悖悋惘 悴惆惆悸 ) Application exploitation and diffusion 悋惠愀惡 悋悋愕惠悋惆悸 悋悋惠愆悋惘
5. Innovation in social research methods raises a number of challenges: Communication and appraising the benefits and beneficiaries Recognising processes of innovation This cutting edge is: contextualised in terms of research practices, cultures, capacity building and consumption
6. New ways of collecting or generating data 愀惘 悴惆惆悸 悴惺 悋惡悋悋惠 惠惆悋 Online interviews or observations, photography..etc 悋惡悋惠 悖 愆悋惆悋惠 惺惡惘 愆惡悸 悋悋惠惘惠 惶惘 愃惘悋 New analytical techniques 惠悋惠 惠忰悸 悴惆惆悸 Software packages 惡惘悴悋惠 忰悋愕惡悸 惠忰 New representations of qualitative research 惠惓 悴惆惆 悖惡忰悋惓 悋惺悸 visual text, using hypermedia. Ethnographic 悋惶惶 悋惘悧悸 悋愕惠悽惆悋 愕悋悧 悋悋惺悋 悋悋悧悸 惆惘悋愕悸 悋悒惓愃惘悋悋
7. Generating new ways of thinking about research 悽 愀惘 悴惆惆悸 惠惘 惡悋惡忰惓 悋惺 Drawing on autobiographical practices, practitioner-led research 惷惺 惠悋惆 悵悋惠悸 ( 愕惘悸 悵悋惠悸 ) 悖惡忰悋惓 惆悋 慍悋 悋悸 Developing new methodological concepts 惠愀惘 悋 悴悸 悴惆惆悸 hypermedia ethnography, qualitative longitudinal research 悒惓愃惘悋悋 愕悋悧 悋悒惺悋 悋悋悧悸 悋悖惡忰悋惓 悋惺悸 悋惠愀惘悸
8. Working with new participants or new groups 悋惺 惺 愆悋惘 悴惆惆 悖 悴惺悋惠 悴惆惆悸 Research with young children, hard to reach populations 悒悴惘悋悄 悋惡忰惓 惺 悋悖愀悋 惶惺惡悸 悋惶 悋 悴惠惺悋惠 悋惆惘悋愕悸 Combining methods and methodologies 悋惆悴 惡 悋悖愕悋惡 惺 悴悋惠 悋惡忰惓 Textual and visual, qualitative with quantitative 惶悸 惘悧悸 惺悸 悸 Cross disciplinary research 悋惡忰惓 悋惠惆悋悽 悋忰 linking geography with education, critical psychology and social policy 惘惡愀 悋悴愃惘悋悋 惡悋惠惺 惺 悋愕 悋惆 悋愕悋愕悸 悋悋悴惠悋惺悸 Responding to changing research landscapes 悋悋愕惠悴悋惡悸 惠愃惘悋惠 悋惠 惠愀惘悖 惺 悋忰 悋惺悸 Enhanced ICT capacities, new ethical challenges and guidelines 悖悋悋惠 惠悴悋 悋惡惠惘 悋惺悋惠 悋惺慍慍悸 惠忰惆悋惠 惷悋惡愀 悖悽悋悸 悴惆惆悸 .
9. Difficulty in identifying methodological innovation 惶惺惡悸 惠慍 悋悒惡惆悋惺 悋悴 Providing examples not yet claimed 惠惘 悋悖惓悸 愃惘 悋愀惘悸 愕悋惡悋 Hence, drawing on current understandings and claims of innovative research practice 惡悋惠悋 惷惺 悋 悋惆惺悋悄悋惠 忰惆惓悸 惠悋惆 悋惡忰惓 悋悒惡惆悋惺 Help in building up and organising innovation frameworks 悋愕悋悸 惡悋悄 惠惴 悋悖愀惘 悋悒惡惆悋惺悸 Measuring innovation thorough communication: 悋愕 悋悒惡惆悋惺 惺 愀惘 悋惠悋惶 : Initial diffusion of the new idea or innovation 悋悋惠愆悋惘 悋惡惆悖 惘悸 悋悴惆惆悸 悖 悋悒惡惆悋惺 Utilisation of new idea or innovation by early adaptors 悒悋惆悸 悋惠惡 悋悖悋悧 悵 悋惘悸 悋悴惆惆悸 悋 悋悒惡惆悋惺 Utilisation of new idea or innovation by second adaptors-providing a critical mass for wide acceptance 悒悋惆悸 悋惠惡 愃惘 悋悖悋悧 悋惘悸 悋悴惆惆悸 悖 悋悒惡惆悋惺 - 惠愆 惠悸 忰惘悴悸 悋惡 悋悋愕惺 General consumption of new idea or innovation 悋悋愕惠悋 悋惺悋 惘悸 悋悴惆惆悸 悖 悋悒惡惆悋惺
10. Innovation in social research methods raises a number of challenges: Communication and appraising the benefits and beneficiaries Recognising processes of innovation This cutting edge is: contextualised in terms of research practices, cultures, capacity building and consumption
11. There is a need for innovation (key issue) 悋 忰悋悴悸 惆悋悧悸 悒惡惆悋惺 ( 惷悸 悖愕悋愕悸 ) Continuous creativity 悋悒惡惆悋惺 悋愕惠惘 Methods are continually developed and enhanced as part of routine research practice 惠 惠愀惘 悋悴 悋惡忰惓 惡愆 愕惠惘 惠惺慍慍悋 悴慍悄 惘惠 悋惡忰惓 悋惺 From creative process to innovative and established or accepted as research practice Maintenance and Repair 悋悖惆悋悄 悋悽悋 悋 悋悒惡惆悋惺 惺悸 惘悋愕悽悸 悖 惡悸 惘惠 悋惡忰惓 悋惺悋惆悸 悋悒惶悋忰 All About Adjustments 悋 惠惺 惡悒悴惘悋悄 悋惠惺惆悋惠
12. Innovation often arises out of an incapacity of existing methods 惡惘慍 悋悒惡惆悋惺 惺悋惆悸 惠悴悸 惷惺 悋悖愕悋惡 悋悴惆悸 Radical developments may only come with methodological dissatisfaction 悋 惠忰惆惓 悋惠愀惘悋惠 悋悴悵惘悸 悒悋 惠悴悸 惺惆 悋惘惷 惺 悋悴悋惠 悋悴惆悸 Identifying Broken Methods 惠忰惆惆 悋悖愕悋惡 悋惺惠悸 ( 悋悋惶悸 ) Difficult to acknowledge 惶惺惡悸 悋悋惺惠惘悋 惡悋 Hence, reporting methodological concerns is essential 惡悋惠悋 悋惠惡愃 惺 悴惆 悋愆悋 悋悴悸 悖惘悋 悋悋 Assessment 悋惠 Do we know if we have improved our methods or not, and if so how? 愕惠愀惺 悖 惺惘 悋 悒悵悋 悋 惆 愀惘悋 悖愕悋惡悋 悖 悋 悒悵悋 悋 悋悴悋惡 惡悋悒悴悋惡 悋 悋愀惘悸 Do they really produce better data, different data? 惠悴 惺悋 惺 悵 悋悖愕悋惡 悋悴惆惆悸 惡悋悋惠 悖惷 悖 惡悋悋惠 悽惠悸 Are they more efficient at getting the data or information we require? 悵 悋悖愕悋惡 悖惓惘 惺悋悸 惺悸 惠忰惶 悋惡悋悋惠 悖 悋惺悋惠 悋惠 惘惆 Are the analytical tools used more transparently? 悋悖惆悋惠 悋惠忰悸 悋愕惠悽惆悸 悖惓惘 愆悋悸 Are our research relations really better? 惺悋悋惠悋 悋惡忰惓悸 惆 惠忰愕惠 惺悋