Marketing assignment no 2
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The document outlines the differences between causal, exploratory, and descriptive research methods and why it makes sense to use secondary data before primary data. For section 1, it defines and compares the three research methods according to definition, format, purpose, data collection methods, and directionality of hypotheses. Exploratory research is informal and gathers preliminary information, descriptive research provides answers to questions like who and what, and causal research tests hypotheses about cause-and-effect relationships. Section 2 notes that secondary data is available at low cost but may not be timely, while primary data is proprietary but costly and time-consuming to collect. It concludes that secondary data is a good starting point to define research problems before collecting primary data.
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Malhotra02.....
A research design is a framework that details the procedures needed to obtain information to solve marketing problems. It includes defining the needed information, designing exploratory, descriptive, or causal phases, specifying measurement and sampling procedures, and developing a data analysis plan. Research designs can be exploratory to gain insights, descriptive to characterize markets, or causal to determine relationships. Common methods include surveys, panels, and experiments.
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Bbch5.ppt
The document discusses different types of research design used in marketing research. It describes exploratory, descriptive, and causal research designs. Exploratory research is used to gain background information and define problems. Descriptive research describes and measures phenomena through cross-sectional and longitudinal studies. Causal research determines cause-and-effect relationships through experiments that manipulate independent variables to measure effects on dependent variables. The document also discusses experimental design, test marketing, and criteria for selecting test market cities.
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1) A research design provides a framework for collecting and analyzing data based on priorities for the research process.
2) There are four main types of research design: exploratory, descriptive, causal, and conclusive. Exploratory research is flexible with tentative findings to define problems, while conclusive research tests hypotheses with structured analysis leading to decisions.
3) Descriptive research describes characteristics of groups through quantitative analysis like surveys. Causal research examines cause-and-effect relationships through planned studies.
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The document discusses the process of data preparation, which involves validating raw data collected through surveys or observations to ensure it is accurate and unbiased. The key steps in data preparation are data validation, editing and coding, data entry, and data tabulation. Data validation aims to detect any fraud, screening errors, issues with data collection procedures, or incomplete responses. Descriptive statistics such as measures of central tendency (mean, median, mode) and variability (range, variance, standard deviation) are then used to analyze the prepared data. Graphs are also employed to visually depict patterns in the data.
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This document outlines the key steps and concepts in the research methods process. It discusses (1) defining the research problem, which involves understanding the nature of the problem and formulating clear research objectives; (2) conducting a literature review to understand previous work; (3) developing hypotheses; (4) designing the research methodology; (5) determining sampling methods; (6) collecting primary and secondary data; (7) analyzing the data and testing hypotheses; (8) interpreting findings and generalizing results; and (9) preparing the final research report. The overall goal is to systematically investigate an issue, analyze collected information, and draw objective conclusions to address the stated research problem.
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This document discusses different types of research from three perspectives: the application of findings, research objectives, and mode of inquiry. It describes pure research, applied research, and action research based on application. From the viewpoint of objectives, it outlines exploratory, descriptive, correlational, and explanatory research. Regarding mode of inquiry, it compares quantitative, qualitative, and mixed methods research. It also discusses mixed methodology, when to use it, and ex post facto research.
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Malhotra02.....
A research design is a framework that details the procedures needed to obtain information to solve marketing problems. It includes defining the needed information, designing exploratory, descriptive, or causal phases, specifying measurement and sampling procedures, and developing a data analysis plan. Research designs can be exploratory to gain insights, descriptive to characterize markets, or causal to determine relationships. Common methods include surveys, panels, and experiments.
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The document discusses different types of research design used in marketing research. It describes exploratory, descriptive, and causal research designs. Exploratory research is used to gain background information and define problems. Descriptive research describes and measures phenomena through cross-sectional and longitudinal studies. Causal research determines cause-and-effect relationships through experiments that manipulate independent variables to measure effects on dependent variables. The document also discusses experimental design, test marketing, and criteria for selecting test market cities.
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1) A research design provides a framework for collecting and analyzing data based on priorities for the research process.
2) There are four main types of research design: exploratory, descriptive, causal, and conclusive. Exploratory research is flexible with tentative findings to define problems, while conclusive research tests hypotheses with structured analysis leading to decisions.
3) Descriptive research describes characteristics of groups through quantitative analysis like surveys. Causal research examines cause-and-effect relationships through planned studies.
Research design
The document discusses research design, which is a framework that specifies the procedures needed to structure and solve a research problem. It defines the information required and outlines measurement, sampling, data collection, and analysis plans. The document compares exploratory, descriptive, and causal research designs and cross-sectional vs longitudinal studies. Key factors like objectives, characteristics, findings, and outcomes are contrasted for different design types. Common errors in research are also outlined.
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The document discusses the process of data preparation, which involves validating raw data collected through surveys or observations to ensure it is accurate and unbiased. The key steps in data preparation are data validation, editing and coding, data entry, and data tabulation. Data validation aims to detect any fraud, screening errors, issues with data collection procedures, or incomplete responses. Descriptive statistics such as measures of central tendency (mean, median, mode) and variability (range, variance, standard deviation) are then used to analyze the prepared data. Graphs are also employed to visually depict patterns in the data.
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3. Hypothesis testing involves stating a null and alternative hypothesis, collecting data to test the hypotheses, performing a statistical test, and deciding whether to reject or fail to reject the null hypothesis based on the results.
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The document outlines the key objectives and steps of the research process. The objectives of research include discovering new facts, verifying important facts, analyzing phenomena, identifying cause-and-effect relationships, developing new tools and theories, and solving problems. The research process involves exploration, literature review, research design, execution, and following up. It describes each step, including formulating research questions, reviewing literature, designing studies, collecting and analyzing data, and reporting findings. The overall goal is to systematically investigate research problems and add to scientific knowledge.
MELJUN CORTES research lecture series.
The document defines and discusses various types of research including basic, applied, correlational, descriptive, experimental, exploratory, historical, phenomenological, qualitative, and quantitative research. It also outlines the typical sections of a research study including the introduction, theoretical framework, statement of the problem, significance of the study, scope and limitations, and data analysis methods. Statistical tests that can be used for data analysis such as t-tests, ANOVA, and non-parametric tests are also explained.
Research Methodology
The document outlines key aspects of research methodology including:
1. The objectives of research such as defining problems, formulating hypotheses, collecting and evaluating data, making deductions, and testing conclusions.
2. The different types of research including descriptive, applied, quantitative, conceptual, empirical, qualitative, fundamental, and analytical research.
3. The methods of collecting data including primary methods like questionnaires, observations, interviews, and schedules and secondary methods of collecting published and unpublished data from various sources.
Malhotra02.....
A research design is a framework that details the procedures needed to obtain information to solve marketing problems. It includes defining needed information, designing exploratory, descriptive, or causal phases, specifying measurement and sampling procedures, and developing a data analysis plan. Research designs are classified as exploratory, descriptive, or causal depending on their objectives and characteristics. Exploratory research aims to provide insights and is flexible, while descriptive and causal research have clearly defined objectives and structured processes.
Business research
The document discusses various research designs used in studies. It describes exploratory research design which aims to better understand a topic preliminarily using small samples. Descriptive research design seeks to describe a phenomenon, while causal research determines causes of pre-existing differences between groups. Experimental design establishes causes through manipulating independent variables. The document outlines key aspects of different designs including objectives, data use, and results.
Research Methodologyfull and complete.pptx
Research methodology involves 7 key steps: 1) defining the research problem, 2) reviewing relevant literature, 3) formulating testable hypotheses, 4) preparing a research design, 5) collecting data, 6) analyzing data, and 7) reporting findings and interpretations. Research aims to systematically investigate problems to expand knowledge in a logical, empirical, and replicable manner. Common research types include pure/applied research, exploratory/descriptive/diagnostic/evaluation studies, action research, experiments, analytical studies, historical research, surveys, case studies, and field research. Data analysis techniques encompass descriptive, inferential, correlation, causal/regression, and multivariate analyses.
Research process description details.pptx
The document outlines the typical steps involved in the research process, including identifying the problem/research question, evaluating existing literature, formulating hypotheses, designing the research, describing the population, collecting and analyzing data, and reporting findings. It also discusses types of research such as quantitative, qualitative, and mixed methods approaches. The key stages are to identify the research problem or question, review relevant literature, create testable hypotheses, design the methodology, collect and analyze data, and report conclusions.
Solving research problem_3539ce35db1215c11a780b1712d47e46
1. The document discusses research design, which is a plan for conducting research to answer questions or solve problems. It outlines the steps, methods, and strategies used to collect and analyze data.
2. Research design provides answers to questions like what is being studied, why it's being studied, where and when data will be collected, what techniques and sources will be used, and how results will be analyzed and reported.
3. Different types of research designs are explored, including those for exploratory, descriptive, diagnostic, and hypothesis-testing studies. Key concepts discussed include variables, hypotheses, experimental setup, and treatments.
Marketing research ppt @ mba
Marketing research is a formal, systematic process of collecting and analyzing information to better inform decision making. It involves specifying information needs, collecting relevant data, analyzing the data, and communicating the results. The value of marketing research lies in its relevance, quality, timeliness, and completeness of data, information, and knowledge. While striving for objectivity, marketing research also involves both science and art as investigators must be unbiased yet acknowledge limitations and be open to unexpected findings. The research process involves defining the problem, determining the research design and data sources, developing sampling and instruments, collecting and preparing data, analyzing and interpreting results, and communicating outcomes.
Presentation of Research Methodology
This document discusses different types of research designs. It begins by defining research design and explaining its importance in facilitating efficient research. It then describes characteristics of good research design such as neutrality, reliability, and validity. The document outlines criteria for good research and steps to develop a research design. It explains exploratory, descriptive, hypothesis-testing, evaluation, diagnostic, explanatory, and correlational research designs. The goal is to help researchers choose an appropriate design based on their research topic and objectives.
RESEARCH DESIGN.pptx
This document provides an overview of research design. It defines research design as the framework and methods chosen by a researcher to conduct a study. There are three main types of research design: data collection, measurement, and analysis. Successful research designs have key characteristics like neutrality, reliability, validity, and ability to generalize. Research designs can be qualitative or quantitative. Some common research design types are descriptive, experimental, correlational, diagnostic, and explanatory. The document outlines the purpose and process for each of these design types.
Research CHap 4
This document provides an overview of the business research process. It discusses the different types of research (exploratory, descriptive, causal), how the degree of problem definition influences the type of research, and examples of each type. It also outlines the key stages of the research process: problem discovery and definition, research design, sampling, data gathering, data analysis, and reporting conclusions. The goal is to move from exploratory research when a problem is not well defined to descriptive and then causal research as understanding increases.
Marketing Research
The document provides summaries of different types of research designs, including their definitions, purposes, advantages, and limitations. It discusses exploratory, descriptive, experimental, causal, cohort, case study, action research, cross-sectional, and market research designs. For each design, it outlines what information can be learned from studies using that design and what limitations exist in determining causation or generalizing findings. The overall purpose is to help readers understand when and how to appropriately apply different research methodologies.
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Gokila digital marketing| consultant| Coimbatore
Myself Gokila digital marketing consultant located in Coimbatore other various types of digital marketing services such as SEM
SEO SMO SMM CAMPAIGNS content writing web design for all your business needs with affordable cost
Digital Marketing Services | Techvolt Software :
Digital Marketing is a latest method of Marketing techniques widely used across the Globe. Digital Marketing is an online marketing technique and methods used for all products and services through Search Engine and Social media advertisements. Previously the marketing techniques were used without using the internet via direct and indirect marketing strategies such as advertising through Telemarketing,Newspapers,Televisions,Posters etc.
List of Services offered in Digital Marketing |Techvolt Software :
Techvolt Software offers best Digital Marketing services for promoting your products and services through online platform on the below methods of Digital marketing
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5. Campaigns
Importance | Need of Digital Marketing (Online Promotions) :
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Techvolt Software offers Free website design for all customer and clients who is availing the digital marketing services for a minimum period of 6 months.
With Regards
Gokila digital marketer
Coimbatore
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2. Lack of Results: Investing time and resources without seeing tangible results can be disheartening. The absence of immediate results often leads businesses to lose faith in their SEO strategies. It's important to remember that SEO is a long-term game that requires patience and consistent effort.
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On-Page Optimization: Ignorance regarding crucial on-page elements such as meta tags, headers, and content structure.
Technical SEO Best Practices: Overlooking essential aspects like site speed, mobile responsiveness, and crawlability.
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Analytics: Failing to track and analyze data prevents businesses from optimizing their SEO efforts effectively.
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Marketing assignment no 2
- 2. Group members: Vu Manh Hung Nguyen Minh Nguyet Nguyen Hong Hanh Hoang Viet Nam Ly Tran Thi Thu Phuong Pham Thi Thanh Hang
- 3. OUTLINE SECTION 1: What are the differences between causal, exploratory, and descriptive research methods? SECTION 2: Why does it make sense to use secondary data before you turn to primary data?
- 4. The differences between causal, exploratory, and descriptive research methods. SECTION 1:
- 5. SECTION 1: RESEARCH DESIGNS Exploratory Descriptive Causal GUIDE The entire research process
- 6. SECTION 1: RESEARCH DESIGNS Exploratory Descriptive Causal Distinguished by Definition Format Purpose Data Collection Methods Directionality of Hypothesis
- 7. SECTION 1: RESEARCH DESIGNS Exploratory Descriptive Causal Distinguished by Definition Format Purpose Data Collection Methods Directionality of Hypothesis
- 8. SECTION 1: RESEARCH DESIGNS Better describe marketing problems, situations, or markets, such as the market potential for a product or the demographics and attitudes of consumers Exploratory Descriptive Causal To gather preliminary information that will help define problems and suggest hypotheses. Definition To test hypotheses about cause- and-effect relationships hom e
- 9. SECTION 1: RESEARCH DESIGNS Providing answers such as WHO/ WHAT/ WHERE/ HOW/ WHY Exploratory Descriptive Causal Commonly unstructured, informal research Format Quantitative in nature as well as preplanned and structured in design hom e
- 10. SECTION 1: RESEARCH DESIGNS Diagnosing a situation Screening alternatives Discovering new ideas Produce hypotheses Describe characteristics of group (what is going on or what exists) Determine proportion of people who act a certain way Make predictions Determine relationships between variables Exploratory Descriptive Causal Determine whether one or more variables causes or affects the value of other variables. Purpose hom e
- 11. SECTION 1: RESEARCH DESIGNS Exploratory Descriptive Causal Secondary Data Analysis Experience Surveys Case Analysis Focus Groups Projective Techniques Data Collection Methods Cross- sectional studies Longitudinal studies Causality Laboratory experiments Field experiments hom e
- 12. SECTION 1: RESEARCH DESIGNS Non- directional hypothesis Exploratory Descriptive Causal Directionality of Hypothesis Directional hypothesis* Non- directional hypothesis * Predict that “independent variables” will affect “dependent variables” in a certain way. hom e
- 13. Why does it make sense to use secondary data before you turn to primary data? SECTION 2:
- 14. DEFINITION Secondary data: information that already exists somewhere, having been collected for another purpose. Primary data: information collected for the specific purpose at hand.
- 15. DIFFERENCES Secondary Data Available to you and your competition. Covers broad areas of generalized inquiry. Not be timely. No cost or little cost. Primary Data Proprietary => “Trade secrets“. Be costly and time- consuming.
- 16. CONCLUSIO N Secondary data: a good starting point => define research problems and objectives. Carefully evaluate the quality of secondary information and collect primary data => relevant, accurate, current and unbiased.