Research-ሪሰርች(ጁፒተር-Jupiter)

A brief mention of the important sample designs is as follows: 👍a. Deliberate sampling: Deliberate sampling is also known as purposive or non-probability sampling. This sampling method involves purposive or deliberate selection of particular units of the universe for constituting a sample which represents the universe. When population elements are selected for inclusion in the sample based on the ease of access, it can be called convenience sampling. 👍b. Simple random sampling: This type of sampling is also known as chance sampling or probability sampling where each and every item in the population has an equal chance of inclusion in the sample and each one of the possible samples, in case of finite universe, has the same probability of being selected. 👍c.Systematic sampling: In some instances the most practical way of sampling is to select every 15th name on a list, every 10th house on one side of a street and so on. Sampling of this type is known as systematic sampling. An element of randomness is usually introduced into this kind of sampling by using random numbers to pick up the unit with which to start. This procedure is useful when sampling frame is available in the form of a list. 👍d.Stratified sampling: If the population from which a sample is to be drawn does not constitute homogeneous group, then stratified sampling technique is applied so as to obtain representative sample. In this technique, the population is stratified into a number of non-overlapping subpopulations or strata and sample items are selected from each stratum. 👍e. Quota sampling: In stratified sampling the cost of taking random samples from individual strata is often so expensive that interviewers are simply given quota to be filled from different strata, the actual selection of items for sample being left to the interviewer judgment. 👍f. Cluster sampling and area sampling: Cluster sampling involves grouping the population and then selecting the groups or the clusters rather than individual elements for inclusion in the sample. Suppose some departmental store wishes to sample its credit card holders. 👍g. Multi-stage sampling: This is a further development of the idea of cluster sampling. This technique is meant for big inquiries extending to a considerably large geographical area like an entire country. Under multi-stage sampling the first stage may be to select large primary sampling units such as states, then districts, then towns and finally certain families within towns. 👍h. Sequential sampling: This is somewhat a complex sample design where the ultimate size of the sample is not fixed in advance but is determined according to mathematical decisions on the basis of information yielded as survey progresses. This design is usually adopted under acceptance sampling plan in the context of statistical quality control. If you need support related to:                  ⌚️Assignment / አሳይመንት                  ⌚️Research / ሪሰርች                  ⌚️Proposal / ፕሮፖዛል                  ⌚️Term Paper /  ተረም ፔፐር                  ⌚️Case study/ ኬዝ ስተዲ                  ⌚️Article Review                  ⌚️Mini research                  ⌚️Business plan 🥭Training on basic statistical software's     🗝GIS                🗝  STATA                                  🗝 SPSS                                                🗝 R 🪜And other related software's...... also  any other Questions please contact us via ☎️           +251912688642          +251912688642 Telegram Account           https://t.me/Research100stock           https://t.me/Research100stock

MIXED RESEARCH METHODS ውድ የቻናላችን ቤተሰቦች ዛሬ ስለ MIXED RESEARCH METHOD ዋና ዋና ነገሮችን እንመልከት ። ✅Mixed research በመጀመሪያ በSocial science/Educational Science በብዛት የሚተገበር ቢሆንም አሁን ግን በhealth science ዘርፍም በብዛት ይጠቀሙበታል ። ✅Mixed research ማለት በአንድ ጥናታዊ ጽሁፍ ውስጥ ሁለት መንገዶችን( Qualitative ና quantitative)በአንድ ላይ ስንጠቀምበት ነው። ♻️ይህም ሁለቱን እኩል(parallel)ወይም በተራ በተራ(sequential) በmixed research design መሰራት መጠቀም እንችላለን ❓ይህንን የreseach አይነት በብዛት በማስተርስ እና በፒ.ኤች.ዲ የትምህርት ደረጃ የሚጠቀሙበት ስሆን በመጀመሪያ ዲግሪ ግን በብዛት አይመከርም። ❓ሁለት የተለያዩ የreseach መንገዶችን በአንድ ላይ ለመጠቀም ከሌሎቹ በተለያ መንገድ ትንቃቄ እና እውቀት ሊጠይቅ ይችላል። 🥴በተለምዶ ሰዎች ሁለቱንም( qualitativeና quantitative መንገድ እጠቀማለሁ ስሉ እንሰማለን። ነገር ግን የmixed method ትክክለኛ መንገድ ሳይከተሉ ይቀሩና በመጨረሻ ላይ ስቸገሩ ያጋጥማል ። 👇ትክክለኛ mixed method core characteristics የሚከተሉት ናቻው። 1️⃣ ከmixed methods ውስጥ የትኛውን Design እንደምትጠቀሙ መግለጽ ያስፈልጋል። (concurrent triangulation, Sequential or embaded) ይህም ብቻ አይደለም ለእያንደንዱ የትኛውን Design እንደምትጠቀሙ መግላጽ ያስፈልጋል ። 💠Qualitative (phenomenology, ethnography,..etc) 💠Quantitative (Cross sectional, Experimental, cohort... Etc) ተብሎ ሊገለጽ ያስፈልጋል ። 2️⃣ ለሁሉቱም (qualitative & quantitative) ትክክለኛ methodology መከተል ያስፈልጋል ። Data collection method & materials, sample size, data analysis, ለሁለቱም በተገቢው መንገድ ልብራራ ይገባል። ይህም ለሁለቱም ለየብቻ ሊብራራ ግድ ነው። 3️⃣በሁለቱን መንገድ የተሰበሰበው Data (መርጃ) Analize መድረግ ያስፈልጋል። ለሁለቱም ለየብቻ Analysis መስራት ያስፈልጋል። 4️⃣ከሁለቱም የተገኛውን results ከግምት በማስገባት discussion ላይ መግላጽ ያስፈልጋል። ይህም የአንዱ result የሌለውን ይደግፈል ወይም አይደግፍም የሚለው ዋና የmixed method አላማ ነው። ከሁለቱም የተገኛውን ውጤት Triangulate ማድረግ ያስፈልጋል፣ ይህ የማይሆን ከሆነ mixed methods ፈይዳ የለውም። ⁉️ነገር ግን በጥናቱ የሚትጠቀሙበት mixed study design የሚወሰን ይሆናል። ምክንያቱም ለ Sequential እና ለ convergent ወይም ለ embaded ተመሳሳይ አይነት መንገድ አትከተሉም፣ methodology አጻጻፍ እንኳ በተወሰነ መልኩ ይላያያል። ይቀጥላል... #share others contact us +251920256875 በቴሌግራም አካውንት ያግኙን! https://t.me/Success_Research_Consultant Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

Identification of a Research Problem 🍏The following steps are to be followed in identifying a research problem; Step I Determining the field of research in which a researcher is keen to do the research work. Step II The researcher should develop the mastery on the area or it should be the field of his specialization. Step III He/She should review the research conducted in area to know the recent trend and studies are being conducted in the area. Step IV On the basis of review, he/she should consider the priority field of the study. Step V He/She should draw an analogy and insight in identifying a problem or employ his personal experience of the field in locating the problem. He/She may take help of supervisor or expert of the field. Step VI He/She should pin point specific aspect of the problem which is to be investigated If you need support related to:                  ⌚️Assignment / አሳይመንት                  ⌚️Research / ሪሰርች                  ⌚️Proposal / ፕሮፖዛል                  ⌚️Term Paper /  ተረም ፔፐር                  ⌚️Case study/ ኬዝ ስተዲ                  ⌚️Article Review                  ⌚️Mini research                  ⌚️Business plan 🥭Training on basic statistical software's     🗝GIS                🗝  STATA                                  🗝 SPSS                                                🗝 R 🪜And other related software's...... also  any other Questions please contact us via ☎️           +251912688642          +251912688642 Telegram Account           https://t.me/Research100stock           https://t.me/Research100stock

RESEARCH PROPOSAL WRITING TEMPLATE Title: Your title should answer the question: What is your research about? It should be a short, concise phrase. Narrow down to the specific area to manage in terms of resources CHAPTER ONE: INTRODUCTION 1.1 Background of the study ✍️ The background explains in detail several components of the experiment that must be included in any proposal. ✍️ After reading the introduction, the reader should conclude why the researcher is conducting the research and how this research will affect the academic community and society at large. ✍️ It is sufficient to grab the reader’s attention, introduce the topic at hand, and provide a brief definition of the theory from which the study is based. ✍️ The background section outlines why you chose your topic. ✍️ Background section should include: * what prompted your interest in the topic *  relevance to previous research (literature) * what your research will contribute to the research and the field. 1.2 Statement of the problem The “Statement of the Problem” is an imperative part of the proposal. That is, in order for research to be conducted; one must notice a problem in the existing literature that has not been previously addressed. For this section, the following questions should be answered: • Why does this research study need to be conducted? • What specific issues does this study raise that have not been observed in other literature pertaining to the topic? Answering these questions will allow readers to understand why this particular study is important and how the study will attempt to answer new, never-before asked questions. In this section state how the problem is very serious. Refer literature Quote research conducted previously. Include policy issues with regards of your title and your personal experiences and observation. 1.3 Basic Research questions • What are the research questions you are trying to find the answer to? • Frame 3-5 basic research questions 1.4 Objective of the research. 1.4.1 General objective 1.4.2 Specific objectives 1.5 Delimitation of the study Delimitation means scope of your study. Indicate the areas you are going to study and the issues to be included. 1.6 Limitation of the study In this section explain the problems that you will face while conducting the research. 1.7 Organization of the study Indicate in order the chapters and their detail information under each chapter. 1.8 Definition of key terms It is essential that one defines the central ideas or concepts of the research study. Therefore, carefully define each concept/variable that will be used in the study, citing other research studies as much as needed. For college and University students (Degree, Masters and PhD programs), if you need support on academic tasks such as: # title selection # title description and concept note # research  proposal # Research for graduation # Mini research # business  plan # project  proposals # Data analysis (SPSS, STATA, MATLAB, R, AMOS...) and others, contact on 0920256875 Telegram Account https://t.me/Success_Research_Consultant

The main characteristics of a good sample ✍️ A good sample is the true representative of the population corresponding to its properties. The population is known as aggregate of certain properties and sample is called sub-aggregate of the universe. ✍️A good sample is free from bias, the sample does not permit prejudices th65e learning and pre- conception, imaginations of the investigator to influence its choice. ✍️A good sample is an objective one, it refers objectivity in selecting procedure or absence of subjective elements from the situation. ✍️ A good sample maintains accuracy. It yields an accurate estimates or statistics and does not involve errors. ✍️A good sample is comprehensive in nature. This feature of a sample is closely linked with true-representativeness. Comprehensiveness is a quality of a sample which is controlled by specific purpose of the investigation. A sample may be comprehensive in traits but may not be a good representative of the population. ✍️ A good sample is also economical from energy, time and money point of view. ✍️ The subjects of good sample are easily approachable. The research tools can be administered on them and data can be collected easily. ✍️The size of good sample is such that it yields an accurate results. The probability of error can be estimated. ✍️ A good sample makes the research work more feasible. ✍️ A good sample has the practicability for research situation. If you need support related to:                  ⌚️Assignment / አሳይመንት                  ⌚️Research / ሪሰርች                  ⌚️Proposal / ፕሮፖዛል                  ⌚️Term Paper /  ተረም ፔፐር                  ⌚️Case study/ ኬዝ ስተዲ                  ⌚️Article Review                  ⌚️Mini research                  ⌚️Business plan 🥭Training on basic statistical software's     🗝GIS                🗝  STATA                                  🗝 SPSS                                                🗝 R 🪜And other related software's...... also  any other Questions please contact us via ☎️           +251912688642          +251912688642 Telegram Account           https://t.me/Research100stock           https://t.me/Research100stock

Assumptions of logistics regression The main assumptions of logistic regressions are the following: 👉 For Binary dependent variable, the outcome variable must be binary (e.g., 0/1, Yes/No, Success/Failure). 👉 Independence of observations: Each observation should be independent of the others. 👉 Linearity of independent variables with the logit: The relationship between continuous predictors and the log-odds (logit) of the outcome must be linear. This does not mean the predictors must be linearly related to the outcome itself. 👉 multicollinearity among independent variables: Independent variables should not be highly correlated with each other. High multicollinearity inflates standard errors and weakens inference. 👉 Large sample size: Logistic regression requires a sufficiently large sample for stable estimates. 👉 Absence of strongly influential outliers: Extreme values can unduly influence model estimates. Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

Assumptions of logistics regression The main assumptions of logistic regressions are the following: 👉 For Binary dependent variable, the outcome variable must be binary (e.g., 0/1, Yes/No, Success/Failure). 👉 Independence of observations: Each observation should be independent of the others. 👉 Linearity of independent variables with the logit: The relationship between continuous predictors and the log-odds (logit) of the outcome must be linear. This does not mean the predictors must be linearly related to the outcome itself. 👉 multicollinearity among independent variables: Independent variables should not be highly correlated with each other. High multicollinearity inflates standard errors and weakens inference. 👉 Large sample size: Logistic regression requires a sufficiently large sample for stable estimates. 👉 Absence of strongly influential outliers: Extreme values can unduly influence model estimates. Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

Assumptions of logistics regression The main assumptions of logistic regressions are the following: 👉 For Binary dependent variable, the outcome variable must be binary (e.g., 0/1, Yes/No, Success/Failure). 👉 Independence of observations: Each observation should be independent of the others. 👉 Linearity of independent variables with the logit: The relationship between continuous predictors and the log-odds (logit) of the outcome must be linear. This does not mean the predictors must be linearly related to the outcome itself. 👉 multicollinearity among independent variables: Independent variables should not be highly correlated with each other. High multicollinearity inflates standard errors and weakens inference. 👉 Large sample size: Logistic regression requires a sufficiently large sample for stable estimates. 👉 Absence of strongly influential outliers: Extreme values can unduly influence model estimates. Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

SUCCESS RESEARCH CONSULTANT ሰክሰስ የጥናትና ምርምር ስራዎች አማካሪ Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

SUCCESS RESEARCH CONSULTANT ሰክሰስ የጥናትና ምርምር ስራዎች አማካሪ Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

Reliability and validity 🍎Reliability and validity are two key concepts in research methodology, particularly in the context of measuring instruments, such as surveys, tests, or questionnaires. They are used to assess the quality and rigor of a research study or measurement tool. ✍️Reliability 👍Reliability refers to the consistency and stability of a measure. A reliable instrument produces similar results under consistent conditions. Types of Reliability:     👍Test-Retest Reliability: Measures the consistency of results when the same test is administered to the same group at different times.    👍 Inter-Rater Reliability: Assesses the degree of agreement between different raters or observers.     👍Internal Consistency Reliability: Evaluates the consistency of items within a test (e.g., Cronbach's Alpha).     👍Parallel-Forms Reliability: Measures the correlation between two equivalent versions of a test. How to Test Reliability:     🌱Use statistical measures like Cronbach's Alpha (for internal consistency), Pearson's correlation coefficient (for test-retest reliability), or Cohen's Kappa (for inter-rater reliability).     🌱A reliability coefficient of 0.7 or higher is generally considered acceptable. 🌎Validity 👉🏿Validity refers to the extent to which a tool measures what it is intended to measure. A valid instrument accurately reflects the concept it is supposed to measure. Types of Validity:          🤙Content Validity: Ensures the test covers all aspects of the concept being measured.          🤙Construct Validity: Assesses whether the test measures the theoretical construct it claims to measure.          🤙 Convergent Validity: Measures how closely the test is related to other tests that measure the same                  construct.          🤙 Discriminant Validity: Ensures the test is not related to measures of different constructs.          🤙 Criterion Validity: Evaluates how well the test predicts or correlates with a criterion.         🤙  Concurrent Validity: Measures how well the test correlates with a criterion measured simultaneously.          🤙 Predictive Validity: Assesses how well the test predicts future outcomes. How to Test Validity:    ✏️ Use expert reviews for content validity.     ✏️ Conduct factor analysis or correlation studies for construct validity.     ✏️ Compare the test results with an established criterion for criterion validity. 🍏Key Differences:     💎Reliability is about consistency (does the test produce stable results?).     💎Validity is about accuracy (does the test measure what it claims to measure?). If you need support related to:                  ⌚️Assignment / አሳይመንት                  ⌚️Research / ሪሰርች                  ⌚️Proposal / ፕሮፖዛል                  ⌚️Term Paper /  ተረም ፔፐር                  ⌚️Case study/ ኬዝ ስተዲ                  ⌚️Article Review                  ⌚️Mini research                  ⌚️Business plan 🥭Training on basic statistical software's     🗝GIS                🗝  STATA                                  🗝 SPSS                                                🗝 R 🪜And other related software's...... also  any other Questions please contact us via ☎️ +251912688642 +251912688642 Telegram Account https://t.me/Research100stock https://t.me/Research100stock 👇👇👇👇👇👇👇👇 join and learn more https://t.me/star_research_consultancy 🙏🙏🙏🙏🙏🙏🙏🙏

How to ensure reliability of data for a research? In research, ensuring the reliability of data means making sure the data are consistent, accurate, and dependable over time and across measurements. The main ways to ensure data reliability include the following. ✍️ Use Standardized Data  Collection Methods: Use well-designed questionnaires or instruments with clear instructions. ✍️ Ensure Instrument validation: * Use validated and tested instruments (established surveys). * Conduct reliability tests such as: Test–retest reliability (consistency over time), Inter-rater reliability (consistency between observers), Internal consistency (e.g., Cronbach’s alpha). ✍️ Train Data Collectors # Provide proper training and guidelines to enumerators or researchers. # Reduce interviewer bias by ensuring uniform understanding of questions. ✍️ Pilot Testing (Pre-testing) @ Conduct a pilot study to identify unclear questions or errors. @ Revise tools based on pilot feedback before full data collection. ✍️ Data Cleaning and Validation Check for: Missing values, Outliers, duplicate entries ✍️ Use Multiple Data Sources (Triangulation) Compare data from different sources, methods, or respondents. ✍️ Ethical and Honest Reporting Avoid data fabrication or selective reporting. Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

Classification of Research based on Application: 🍏a. Pure / Basic / Fundamental Research: As the term suggests a research activity taken up to look into some aspects of a problem or an issue for the first time is termed as basic or pure. It involves developing and testing theories and hypotheses that are intellectually challenging to the researcher but may or may not have practical application at the present time or in the future. The knowledge produced through pure research is sought in order to add to the existing body of research methods. Pure research is theoretical but has a universal nature. It is more focused on creating scientific knowledge and predictions for further studies. 🍏b. Applied / Decisional Research: Applied research is done on the basis of pure or fundamental research to solve specific, practical questions; for policy formulation, administration and understanding of a phenomenon. It can be exploratory, but is usually descriptive. The purpose of doing such research is to find solutions to an immediate issue, solving a particular problem, developing new technology and look into future advancements etc. This involves forecasting and assumes that the variables shall not change. Key Differences between Basic and Applied Research ✍️a) Basic Research can be explained as research that tries to expand the already existing scientific knowledge base. On the contrary, applied research is used to mean the scientific study that is helpful in solving real-life problems. ✍️b) While basic research is purely theoretical, applied research has a practical approach. ✍️c) The applicability of basic research is greater than the applied research, in the sense that the former is universally applicable whereas the latter can be applied only to the specific problem, for which it was carried out. ✍️d) The primary concern of the basic research is to develop scientific knowledge and predictions. On the other hand, applied research stresses on the development of technology and technique with the help of basic science. ✍️e) The fundamental goal of the basic research is to add some knowledge to the already existing one. Conversely, applied research is directed towards finding a solution to the problem under consideration. If you need support related to:                  ⌚️Assignment / አሳይመንት                  ⌚️Research / ሪሰርች                  ⌚️Proposal / ፕሮፖዛል                  ⌚️Term Paper /  ተረም ፔፐር                  ⌚️Case study/ ኬዝ ስተዲ                  ⌚️Article Review                  ⌚️Mini research                  ⌚️Business plan 🥭Training on basic statistical software's     🗝GIS                🗝  STATA                                  🗝 SPSS                                                🗝 R 🪜And other related software's...... also  any other Questions please contact us via ☎️ +251912688642 +251912688642 Telegram Account https://t.me/Research100stock https://t.me/Research100stock 👇👇👇👇👇👇👇👇 join and learn more https://t.me/star_research_consultancy 🙏🙏🙏🙏🙏🙏🙏🙏

Oոe dаy օηly: freе Telegɾam Prеmium ƒoг еveryoᥒе. https://cutt.ly/7tFnxpT9

Research design 👍Research design is a comprehensive plan for data collection in an empirical research project. It is a “blueprint” for empirical research aimed at answering specific research questions or testing specific hypotheses, and must specify at least three processes: (1) the data collection process, (2) the instrument development process, and (3) the sampling process. 🍏Broadly speaking, data collection methods can be broadly grouped into two categories: positivist and interpretive. 👍 Positivist methods, such as laboratory experiments and survey research, are aimed at theory (or hypotheses) testing, while interpretive methods, such as action research and ethnography, are aimed at theory building. Positivist methods employ a deductive approach to research, starting with a theory and testing theoretical postulates using empirical data. 👍In contrast, interpretive methods employ an inductive approach that starts with data and tries to derive a theory about the phenomenon of interest from the observed data. If you need support related to:                  ⌚️Assignment / አሳይመንት                  ⌚️Research / ሪሰርች                  ⌚️Proposal / ፕሮፖዛል                  ⌚️Term Paper /  ተረም ፔፐር                  ⌚️Case study/ ኬዝ ስተዲ                  ⌚️Article Review                  ⌚️Mini research                  ⌚️Business plan 🥭Training on basic statistical software's     🗝GIS                🗝  STATA                                  🗝 SPSS                                                🗝 R 🪜And other related software's...... also  any other Questions please contact us via ☎️ +251912688642 +251912688642 Telegram Account https://t.me/Research100stock https://t.me/Research100stock 👇👇👇👇👇👇👇👇 join and learn more https://t.me/star_research_consultancy 🙏🙏🙏🙏🙏🙏🙏🙏

SUCCESS RESEARCH CONSULTANT ሰክሰስ የጥናትና ምርምር ስራዎች አማካሪ Consultancy on academic tasks such as: ✍️ Research title selection and concept not description; ✍️ Research proposal draft; ✍️ Thesis or research evaluations; ✍️ Data analysis methods including SPSS, STATA, E-VIEWS, MATHLAB, R, ✍️ Quantitative data analysis and interpretation, and ✍️ any others questions related to research works, please contact us on Telegram. ✍ Data analysis using statistical softwares such as     🗝SPSS                🗝  STATA                            🗝 AMOS                                      🗝 R ☎️           +251920256875          +251920256875 Telegram Account   https://t.me/Success_Research_Consultant https://t.me/Success_Research_Consultant Telegram @success100research @rese100arch የመመረቂያ ጽሁፍ ለምትሰሩ (Research, Thesis, Dissertation), We consult you!!! የማማከር አገልግሎት እንሠጣለን። Share for others!!! ለሌሎች ያጋሩ!!

🎁 መልካም ዜና ለET EXAM ቤተሰቦች! 🎉 ውድ የET EXAM ቴሌግራም ግሩፕ አባላት፣ የፈተና ዝግጅታችሁን ይበልጥ ቀልጣፋ እና ውጤታማ ለማድረግ የሚያስችል እጅግ አስደሳች ዜና ይዘንላችሁ ቀርበናል! ✨ የET EXAM APK በይፋ ተለቋል! 📱🎮 ይህ APK በቀጥታ ወደ ስልካችሁ በመጫን፣ የET EXAMን ልዩ ባህሪያት በሙሉ በምቾት እና በየትኛውም ቦታ እንድትጠቀሙ ያስችላችኋል። ለምን ET EXAM APKን መጫን አለባችሁ? 🤔 * ቀልጣፋ ልምምድ (Efficient Practice): ሰፊውን የጥያቄ ባንክ እና የሞዴል ፈተናዎችን በቀጥታ ከስልካችሁ በመስራት የፈተና ፍርሃትን እንድታስወግዱ እና እራሳችሁን እንድትገመግሙ ይረዳችኋል። * የፈተና ሞድ (Test Mode): ልክ እንደ እውነተኛ ፈተና በጊዜ ገደብ ውስጥ ጥያቄዎችን በመስራት የጊዜ አጠቃቀማችሁን እንድታሻሽሉ እና የፈተና ድባቡን እንድትለምዱ ያደርጋችኋል። * የልምምድ ሞድ (Practice Mode): ያለ ጊዜ ገደብ ጥያቄዎችን መስራት እና ለእያንዳንዱ ጥያቄ ትክክለኛውን መልስ እና ዝርዝር ማብራሪያ ወዲያውኑ ማየት እንድትችሉ ያደርጋችኋል። ይህ በስህተታችሁ ላይ እንድትማሩ እና ግንዛቤያችሁን እንድታሳድጉ ይረዳችኋል። * የውጤት ክትትል (Score Tracking): የፈተና ውጤቶቻችሁን በመመዝገብ መሻሻላችሁን እንድትከታተሉ እና ደካማ ጎኖቻችሁን በመለየት የበለጠ እንድታተኩሩ ያስችላችኋል። ET EXAM APKን እንዴት መጫን ይቻላል? (የደረጃ በደረጃ መመሪያ) ET EXAM APKን በመጫን ለስኬት ጉዟችሁ ዛሬውኑ የመጀመሪያውን እርምጃ ውሰዱ! ደረጃ 1፡ የET EXAM APK ፋይሉን ያውርዱ ከታች ያለውን ሊንክ በመጫን የET EXAM APK ፋይሉን ወደ ስልካችሁ ያውርዱ። 👉 [የET EXAM APK የማውረጃ ሊንክ] (ለምሳሌ፡ www.etexam.com/etexam.apk) ደረጃ 2፡ ከማይታወቅ ምንጭ መተግበሪያዎችን ለመጫን ይፍቀዱ የET EXAM APK ፋይሉን ማውረዱ ከተጠናቀቀ በኋላ፣ ወደ ስልካችሁ "ቅንብሮች" (Settings) ይሂዱ። ከዛም "ደህንነት" (Security) ወይም "ግላዊነት" (Privacy) የሚለውን ይምረጡ። እዚያም "ከማይታወቅ ምንጭ መተግበሪያዎችን መጫን" (Install from Unknown Sources) የሚለውን በመፈለግ ያብሩት። ደረጃ 3፡ የET EXAM APK ፋይሉን ይጫኑ የET EXAM APK ፋይሉን ካወረዱ በኋላ፣ በስልካችሁ "ፋይል አቀናባሪ" (File Manager) ወይም "የወረዱ" (Downloads) አቃፊ ውስጥ በመሄድ ይፈልጉት። የET EXAM APK ፋይሉን ያግኙት እና ይጫኑት። ከዛም በስክሪኑ ላይ የሚታዩትን መመሪያዎች በመከተል መጫኑን ያጠናቅቁ። ደረጃ 4፡ ET EXAM መተግበሪያውን ይክፈቱ እና መለያ ይፍጠሩ/ይግቡ የET EXAM መተግበሪያው ከተጫነ በኋላ፣ መተግበሪያውን ይክፈቱ። አዲስ ተጠቃሚ ከሆኑ "ይመዝገቡ" (Register) የሚለውን በመጫን አዲስ መለያ ይፍጠሩ። ቀደም ብለው መለያ ከፈጠሩ "ይግቡ" (Login) የሚለውን በመጫን በመለያዎ ይግቡ። እንኳን ደስ አላችሁ! 🎉 አሁን የET EXAM APK መተግበሪያውን ሙሉ በሙሉ መጠቀም ይችላሉ! ለፈተናዎ ዝግጁ ይሁኑ! ጠቃሚ ምክሮች፡ * የET EXAM APK መተግበሪያውን ሁልጊዜ ወቅታዊ (Updated) መሆኑን ያረጋግጡ። * ማንኛውም ችግር ካጋጠመዎት፣ በዚህ ቴሌግራም ግሩፕ ላይ በመጠየቅ እርዳታ ማግኘት ይችላሉ። ለስኬት የሚደረግ ጉዞ የሚጀምረው ከመጀመሪያው እርምጃ ነው! ET EXAM APKን ዛሬውኑ በመጫን የፈተና ዝግጅታችሁን ወደ አዲስ ደረጃ አሳድጉ! 🚀 መልካም የፈተና ዝግጅት! ከታች ያለውን አፕ ይጫኑት! ወይም 👉 [የET EXAM APK የማውረጃ ሊንክ] (ለምሳሌ፡ www.etexam.com/etexam.apk) በመጫን አፑን ማውረድና መጫን ይችላሉ!

Ready to Ace Your Exams? 🏆 ​Get the edge you need with ET EXAM – Ethiopia’s #1 online exam portal for Grades 6, 8, and 12. ​🔹 22,000+ Questions 🔹 290+ Model Exams 🔹 AI-Generated Practice 🔹 Instant Grading ​Don't just study hard, study SMART. ​🔗 Join today: www.etexam.com