Usually quantitative or positivistic research is considered more objective and reliable compare ti qualitative research.It is very done in physical and natural sciences, to great extent in social sciences but not in language.
Kiran, I agree with Luisa. I consider the words of Trochim (2006), who wrote concerning qualitative and quantitative methodology,
"To say that one or the other approach is 'better' is, in my view, simply a trivializing of what is a far more complex topic than a dichotomous choice can settle. Both quantitative and qualitative research rest on rich and varied traditions that come from multiple disciplines and both have been employed to address almost any research topic you can think of. In fact, in almost every applied social research project I believe there is value in consciously combining both qualitative and quantitative methods in what is referred to as a 'mixed methods' approach."
I offer my writing.
Langley, J. (2016). Quantitative Strategy: Comparing Cultural Communication and Language Outcome. ResearchGate. doi. 10.13140/RG.2.1.2525.6403. Retrieved from https://www.researchgate.net/publication/284183577_Quantitative_Strategy_Comparing_Cultural_Communication_and_Language_Outcome
References
Trochim, W. (2006). The qualitative debate. Research methods knowledge base. Retrieved from http://www.socialresearchmethods.net/kb/qualdeb.php
Research Quantitative Strategy: Comparing Cultural Communication and ...
Deacon's viewpoint is very much in line with recent research on learning in primates, particularly as represented by Michael Tomasello. There is an increasing recognition that the social learning processes that underlie the kind of cultural behaviors seen in primates are derived from extended periods of juvenile learning involving more extensive interaction with other individuals, particular mother-offspring interactions. Many of these interactions involve joint attention on objects or other individuals, and the use of such joint attention to enable social learning appears to characterize marmosets, chimpanzees, and other primates in which social learning is important.
Thus out of social context the languages can not analyzed using universal codes/metrics.
The main difference between Language and communication. All animals [even plants] communicate. The language is built on grammar. This allows to make symbolic meanings . For example Nightmare [quantititative addition of night and female horse is not the real meaning . Until last 1000 years or so all battles were fought during day time. The expression came when a soldier fallen from the horse that try to stampede on him comes in night! These socially/culturally connected words make positivistic evaluation of language very difficult.
At a lower level of communication we can quantify the language. This has been the basis of cyber / electronic intelligence.
I agree with Vijay. There are a number groups working on content analysis tools. One of my colleague Mr. Sanjay Deshmukh [RG member] have worked in this field
I think that you can do quantitative research on linguistic objects, e.g. texts or recordings. Thus you can count words or structures, or you can observe how certain structures predominate in certain text types, e.g. imperatives in instructional texts. However, you will have to use qualitative data if you want to find out, for instance, how people respond to certain vocabulary or text-types. The physical phenomena of language are intimately tied up with mental phenomena, including emotions. No one set of data will be sufficient to investigate attitudes, thoughts, responses, etc.
There are several studies that quantify language & linguistics, but the most recent omes are those that mesure social media and bigdata.
There are lots of software tools to quantify tweets, forums, messages... but there are not so many quanta to identify "qualitative" issues. I've been doing research on Memes and Nemes, to units that allow us to follow connections, communication efficiency and cultural influence.
Penelitian bahasa pada umumnya menganut paradigma penellitian qualitative yang bercirikan naturalistic, inquiry from the inside, interpretative, constuctivist. Kecuali pada penelitian dialektologi untuk mengetahu kata-kata yang berkerabat digunakanlah analisis statistik. Namun demikian hasilnya tetap dideskripsikan sebagaimana penelitian kualitative. Penelitian quantitative dan positivist sering digunakan dalam penelitian pangajaran bahasa untuk membandingkan metode pembelajaran yang digunakan yang didalamnya terdapat dengan jelas variabel pengaruh (dependent variable) dan variabel yang dipengaruhi (independent Variable).
Why not? In literature the list of images , symbols, and suchlike things can be brought under quantitative analysis. Similarly grammatical and stylistic analyses depend solely upon statistical methods.
Language is of course a more appropriate ground for quantitative analysis than literature..
Penelitian bahasa pada umumnya menganut paradigma penellitian qualitative yang bercirikan naturalistic, inquiry from the inside, interpretative, constuctivist. Kecuali pada penelitian dialektologi untuk mengetahu kata-kata yang berkerabat digunakanlah analisis statistik. Namun demikian hasilnya tetap dideskripsikan sebagaimana penelitian kualitative. Penelitian quantitative dan positivist sering digunakan dalam penelitian pangajaran bahasa untuk membandingkan metode pembelajaran yang digunakan yang didalamnya terdapat dengan jelas variabel pengaruh (dependent variable) dan variabel yang dipengaruhi (independent Variable).
Can We do quatitative or positivistic research in Language/ Literature? - ResearchGate. Available from: https://www.researchgate.net/post/Can_We_do_quatitative_or_positivistic_research_in_Language_Literature#view=56eb73bbdc332ddbb919f082 [accessed Mar 18, 2016].
We Can do quantitative or qualitative research in Language/ Literature or combine both. All depends on the research topic and objectives. In language there are many instances one can count: words, prases, sentences, verbal act, time of the verbs, adjetictives, etc. The language is a big world with various systems liable of being counted and interpreted. The percepcion people have of any languahe phenomenon can also be researched.
Kiran, I agree with Luisa. I consider the words of Trochim (2006), who wrote concerning qualitative and quantitative methodology,
"To say that one or the other approach is 'better' is, in my view, simply a trivializing of what is a far more complex topic than a dichotomous choice can settle. Both quantitative and qualitative research rest on rich and varied traditions that come from multiple disciplines and both have been employed to address almost any research topic you can think of. In fact, in almost every applied social research project I believe there is value in consciously combining both qualitative and quantitative methods in what is referred to as a 'mixed methods' approach."
I offer my writing.
Langley, J. (2016). Quantitative Strategy: Comparing Cultural Communication and Language Outcome. ResearchGate. doi. 10.13140/RG.2.1.2525.6403. Retrieved from https://www.researchgate.net/publication/284183577_Quantitative_Strategy_Comparing_Cultural_Communication_and_Language_Outcome
References
Trochim, W. (2006). The qualitative debate. Research methods knowledge base. Retrieved from http://www.socialresearchmethods.net/kb/qualdeb.php
Research Quantitative Strategy: Comparing Cultural Communication and ...
John, You make a compelling argument with regards to trivalizing whether qualitative is better than quantitative. From my research, I found that although I tend to asks questions which rely heavily on answers from a qualitative stance, I recognize that I need quantitative data that helps to provide depth to my analysis of information collected in the field. In other words, the richness or depth of a researched topic, in my opinion, relies on the researchers ability to triangulate data collected from both qualitative and quantitative data. Hence, I contend that researchers must recognize that credibility of the research is dependent on the researchers ability to ensure collected data is reliable and valid.