اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Research-ሪሰርች(ጁፒተር-Jupiter)
رفتن به کانال در Telegram
🔷 Business proposal 🔷 Proposal(Masters) 🔷 Research ማማከር 🔷 survey questionnaire ለማዘጋጀት እናማክራለን 🛑 ለተመራቂዎች ተማሪዎች ጥሩ ርዕሰ እንዴት መምረጥ እንዳለባችሁ እናማክራለን!
نمایش بیشتر📈 تحلیل کانال تلگرام Research-ሪሰርች(ጁፒተር-Jupiter)
کانال Research-ሪሰርች(ጁፒተር-Jupiter) (@researchrc) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 15 476 مشترک است و جایگاه 13 118 را در دسته آموزش و رتبه 2 169 را در منطقه أثيوبيا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 15 476 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 15 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -249 و در ۲۴ ساعت گذشته برابر -9 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 13.63% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.14% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 113 بازدید دریافت میکند. در اولین روز معمولاً 642 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 0 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند sample, population, anova, assumption, proposal تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“🔷 Business proposal
🔷 Proposal(Masters)
🔷 Research ማማከር
🔷 survey questionnaire ለማዘጋጀት እናማክራለን
🛑 ለተመራቂዎች ተማሪዎች ጥሩ ርዕሰ እንዴት መምረጥ እንዳለባችሁ እናማክራለን!”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 16 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
15 476
مشترکین
-924 ساعت
-607 روز
-24930 روز
در حال بارگیری داده...
کانالهای مشابه
ابر برچسبها
اشارات ورودی و خروجی
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پستهای کانال
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
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| 2 | 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
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Share for others!!! ለሌሎች ያጋሩ!! | 1 062 |
| 3 | 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!! | 1 |
| 4 | 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!! | 1 |
| 5 | 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!! | 989 |
| 6 | 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!! | 1 |
| 7 |  بدون متن... | 2 244 |
| 8 | 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
🙏🙏🙏🙏🙏🙏🙏🙏 | 2 618 |
| 9 | 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,
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✍️ any others questions related to research works, please contact us on Telegram.
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🗝 STATA
🗝 AMOS
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Share for others!!! ለሌሎች ያጋሩ!! | 2 397 |
| 10 | 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
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| 11 | Oոe dаy օηly: freе Telegɾam Prеmium ƒoг еveryoᥒе. https://cutt.ly/7tFnxpT9 | 0 |
| 12 | 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
🙏🙏🙏🙏🙏🙏🙏🙏 | 0 |
| 13 | 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!! | 0 |
| 14 | ET EXAM_1_1.0.apk | 0 |
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