quantitative research meaning in tagalog

Kahulugan ng Quantitative Research

Ano ang Quantitative Research:

Mga katangian ng dami ng pagsasaliksik, mga yugto ng isang dami ng pagsisiyasat, mga uri ng dami ng pagsasaliksik.

• Pang-eksperimentong pagsasaliksik

Quasi-eksperimentong pagsasaliksik

Ex-post-facto na pagsisiyasat, pagsasaliksik sa kasaysayan, kaugnay na pagsasaliksik, pag-aaral ng kaso.

Ang dami ng pagsasaliksik, na kilala rin bilang dami ng pamamaraan, ay isang modelo ng pagsasaliksik batay sa positivist paradigm, na ang layunin nito ay upang makahanap ng mga pangkalahatang batas na nagpapaliwanag ng katangian ng object ng pag-aaral na ito batay sa pagmamasid, pagpapatunay at karanasan. Iyon ay, mula sa pagtatasa ng mga pang-eksperimentong resulta na nagbubunga ng napatunayan na mga representasyong pang-numero o pang-istatistika.

Ang ganitong uri ng diskarte ay malawakang ginamit sa mga agham panlipunan upang mabawasan ang pagiging paksa sa pag-aaral ng mga phenomena ng tao; bigyang-katwiran ang bisa ng mga konklusyon nito at tangkilikin ang parehong prestihiyo tulad ng agham.

Ang sinabi ay isang bunga ng hegemonya ng positivist na siyentipikong pag-aaral, lalo na noong ika-19 at unang bahagi ng ika-20 siglo, ayon sa kung saan ang mga konklusyon lamang na nakuha mula sa napatunayan na mga katotohanan ang tinatanggap. Ang presupposition ng positivism ay ang mga konklusyon na nagmula sa naturang mga pagpapatunay ay layunin at, samakatuwid, wasto.

Iyon ang dahilan kung bakit, parehong positivist na siyentipikong pag-aaral at dami ng pagsasaliksik na inilapat sa mga agham panlipunan, nakatuon sa kahalagahan ng pagsukat at lahat ng uri ng nabibilang na data .

Sa puntong iyon, ang dami ng pananaliksik ay naiiba mula sa husay , na inaamin ang pag-aaral at pagmuni-muni mula sa mga simbolikong representasyon na ipinaliwanag ng isang kultura sa katotohanan nito. Magkakaiba rin sila sa mga pagsusuri sa husay na hindi naghahangad na magtatag ng mga pangkalahatang batas sa halip na maunawaan ang pagiging partikular o isahan ng kanilang layunin ng pag-aaral.

Tingnan din ang Qualitative Research.

• Batay ito sa diskarte sa positivist;
• Tinitiyak ang isang distansya sa pagitan ng paksa at ng bagay ng pag-aaral upang magarantiya ang pagiging layunin; ang paksa ay hindi maaaring maging isang kasangkot na bahagi ng hindi pangkaraniwang bagay o maaari silang makipag-ugnay;
• Bahagi ng pagbabalangkas ng isang teorya upang masubukan, hango sa kaalaman ng mga nakaraang teorya;
• Nagdidisenyo at naglalapat ng mga instrumento sa pagsukat upang makakuha ng napatunayan na data, na dapat na kasunod na mabigyang kahulugan (mga eksperimento, survey, sampling, saradong mga palatanungan, istatistika, atbp.);
• Ang layunin nito ay upang makahanap ng mga pangkalahatang batas na nagpapaliwanag sa pinag-aralan na mga phenomena;
• Nakabawas ang pamamaraan nito . Mula sa teorya na ipinapasa nito sa pagpapatakbo ng mga variable, pagkatapos ay nangongolekta ng data, pinoproseso ang mga ito at, sa wakas, binibigyang kahulugan ang mga ito sa ilaw ng mga teoryang inilalagay.
• Bahagi ng konsepto: delimitasyon ng problema, pagbuo ng balangkas ng teoretikal at pagbubuo ng teorya.
• Pagpaplano at yugto ng disenyo: pagtuklas ng mga sample, diskarte at diskarte upang maipaliwanag ang disenyo ng pananaliksik. Nagsasangkot ito ng pagbuo ng isang pilot study.
• Empirical phase: koleksyon ng mga datos na nakuha pagkatapos ng paglalapat ng mga eksperimento o mga instrumento sa pagsukat.
• Analytical phase: pagsusuri at interpretasyon ng data.
• Diffusion phase: pagpapakalat ng mga konklusyon at obserbasyon.

Pag-aralan ang mga ugnayan ng sanhi ng epekto sa pamamagitan ng mga eksperimento na inilapat sa mga sample o pangkat.

Ang mga ito ay mga pagsisiyasat kung saan hindi posible na kontrolin ang mga pang-eksperimentong kondisyon, kaya kinakailangan na maglapat ng maraming mga eksperimento sa ilalim ng magkakaibang mga kundisyon. Ito ang kaso kung saan ginagamit ang tinatawag na "mga control group".

Pag-aralan ang mga sanhi na sanhi ng ilang mga phenomena sa paghahanap ng paghahanap ng mga kadahilanan na makakatulong upang mahulaan ang mga katulad na phenomena.

Muling buuin ang mga katotohanang pangkasaysayan upang ilarawan ang ebolusyon nito at magbigay ng napatunayan na data.

Pag-aralan kung paano naiimpluwensyahan o nabubuo ng ilang mga kadahilanan ang pag-uugali ng pinag-aralan na phenomena o mga bagay.

Pag-aralan nang detalyado ang pag-uugali ng isa o kakaunti na mga bagay sa pagsasaliksik.

Tingnan din:

• Qualitative at dami ng pagsasaliksik
• Pananaliksik.
• Pamamaraan ng pagsisiyasat.

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Methodology

• Qualitative vs. Quantitative Research | Differences, Examples & Methods

Qualitative vs. Quantitative Research | Differences, Examples & Methods

Published on April 12, 2019 by Raimo Streefkerk . Revised on June 22, 2023.

When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Both are important for gaining different kinds of knowledge.

Common quantitative methods include experiments, observations recorded as numbers, and surveys with closed-ended questions.

Quantitative research is at risk for research biases including information bias , omitted variable bias , sampling bias , or selection bias . Qualitative research Qualitative research is expressed in words . It is used to understand concepts, thoughts or experiences. This type of research enables you to gather in-depth insights on topics that are not well understood.

Common qualitative methods include interviews with open-ended questions, observations described in words, and literature reviews that explore concepts and theories.

Table of contents

The differences between quantitative and qualitative research, data collection methods, when to use qualitative vs. quantitative research, how to analyze qualitative and quantitative data, other interesting articles, frequently asked questions about qualitative and quantitative research.

Quantitative and qualitative research use different research methods to collect and analyze data, and they allow you to answer different kinds of research questions.

Quantitative and qualitative data can be collected using various methods. It is important to use a data collection method that will help answer your research question(s).

Many data collection methods can be either qualitative or quantitative. For example, in surveys, observational studies or case studies , your data can be represented as numbers (e.g., using rating scales or counting frequencies) or as words (e.g., with open-ended questions or descriptions of what you observe).

However, some methods are more commonly used in one type or the other.

Quantitative data collection methods

• Surveys :  List of closed or multiple choice questions that is distributed to a sample (online, in person, or over the phone).
• Experiments : Situation in which different types of variables are controlled and manipulated to establish cause-and-effect relationships.
• Observations : Observing subjects in a natural environment where variables can’t be controlled.

Qualitative data collection methods

• Interviews : Asking open-ended questions verbally to respondents.
• Focus groups : Discussion among a group of people about a topic to gather opinions that can be used for further research.
• Ethnography : Participating in a community or organization for an extended period of time to closely observe culture and behavior.
• Literature review : Survey of published works by other authors.

A rule of thumb for deciding whether to use qualitative or quantitative data is:

• Use quantitative research if you want to confirm or test something (a theory or hypothesis )
• Use qualitative research if you want to understand something (concepts, thoughts, experiences)

For most research topics you can choose a qualitative, quantitative or mixed methods approach . Which type you choose depends on, among other things, whether you’re taking an inductive vs. deductive research approach ; your research question(s) ; whether you’re doing experimental , correlational , or descriptive research ; and practical considerations such as time, money, availability of data, and access to respondents.

Quantitative research approach

You survey 300 students at your university and ask them questions such as: “on a scale from 1-5, how satisfied are your with your professors?”

You can perform statistical analysis on the data and draw conclusions such as: “on average students rated their professors 4.4”.

Qualitative research approach

You conduct in-depth interviews with 15 students and ask them open-ended questions such as: “How satisfied are you with your studies?”, “What is the most positive aspect of your study program?” and “What can be done to improve the study program?”

Based on the answers you get you can ask follow-up questions to clarify things. You transcribe all interviews using transcription software and try to find commonalities and patterns.

Mixed methods approach

You conduct interviews to find out how satisfied students are with their studies. Through open-ended questions you learn things you never thought about before and gain new insights. Later, you use a survey to test these insights on a larger scale.

It’s also possible to start with a survey to find out the overall trends, followed by interviews to better understand the reasons behind the trends.

Qualitative or quantitative data by itself can’t prove or demonstrate anything, but has to be analyzed to show its meaning in relation to the research questions. The method of analysis differs for each type of data.

Analyzing quantitative data

Quantitative data is based on numbers. Simple math or more advanced statistical analysis is used to discover commonalities or patterns in the data. The results are often reported in graphs and tables.

Applications such as Excel, SPSS, or R can be used to calculate things like:

• Average scores ( means )
• The number of times a particular answer was given
• The correlation or causation between two or more variables
• The reliability and validity of the results

Analyzing qualitative data

Qualitative data is more difficult to analyze than quantitative data. It consists of text, images or videos instead of numbers.

Some common approaches to analyzing qualitative data include:

• Qualitative content analysis : Tracking the occurrence, position and meaning of words or phrases
• Thematic analysis : Closely examining the data to identify the main themes and patterns
• Discourse analysis : Studying how communication works in social contexts

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square goodness of fit test
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organize your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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Synonyms for Quantitative

Phrases in alphabetical order, top dictionary queries, english - tagalog.

Translation of "quantitative" into English

Sample translated sentence: Ang signal intesnity ay maaaring magbigay ng quantitative measure ng analyte konsentrasyon. ↔ The intensity of the signal is directly proportional to the amount of unknown analyte.

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