Create flashcards with the Pinyin on one side and an image of the object or person it represents on the other side. Practice with the flashcards so you can memorize the correct Pinyin for the object or person. Say the Chinese word or phrase aloud so you can remember it. Quiz yourself with the flashcards or ask a friend to quiz you. Add more challenging words and phrases to the flashcards as your Chinese improves. Chinese music and songs are another great audio resource you can use to improve your Chinese fast. Tune in to Chinese radio stations and keep it on in the background so you can sing along to Chinese words and phrases. Listen to the lyrics in the songs to get better at your pronunciation and tones. You can also find CDs or music online by Chinese artists and listen to it to help you learn the language. Set aside time once a day to watch a movie in Chinese or a television show. Listen to how the words are spoken in conversation. Note the tones used as well as the phrasing. Stick to watching one television show at a time. Watch movies featuring the same actors or actresses so their dialogue becomes familiar to you.  Try watching a Chinese anime for simple dialogue and vocabulary. Challenge yourself to watch a Chinese soap opera or a movie with a lot of dialogue for more difficult conversation. Look for Chinese movies and television shows at your local library or online. There are many apps you can download onto your smartphone, tablet, or computer to help you improve your pronunciation and tones. Look for apps that focus on basic nouns and verbs or getting better at Pinyin. Use the app during your study sessions to look up the pronunciation of a word and improve your tones when you are practicing conversational Chinese. You can also use apps to help you learn how to write Chinese characters. Apps like Skitter, FluentU, Chinese Pod, and The Chairman’s Bao are all good options.

Summary: Use flashcards with images and Pinyin. Listen to Chinese radio stations. Watch Chinese movies and television shows. Use a Chinese language app.


Each of the research methodologies has uses one or more techniques to collect empirical data, including interviews, participant observation, fieldwork, archival research, documentary materials, etc. The form of data collection will depend on the research methodology. For example, case study research usually relies on interviews and documentary materials, whereas ethnography research requires considerable fieldwork.   Direct observation – Direct observation of a situation or your research subjects can occur through video tape playback or through live observation. In direct observation, you are making specific observations of a situation without influencing or participating in any way. For example, perhaps you want to see how second career teachers go about their routines in and outside the classrooms and so you decide to observe them for a few days, being sure to get the requisite permission from the school, students and the teacher and taking careful notes along the way.  Participant observation – Participant observation is the immersion of the researcher in the community or situation being studied. This form of data collection tends to be more time consuming, as you need to participate fully in the community in order to know whether your observations are valid.   Interviews –  Qualitative interviewing is basically the process of gathering data by asking people questions. Interviewing can be very flexible - they can be on-on-one, but can also take place over the phone or Internet or in small groups called "focus groups". There are also different types of interviews. Structured interviews use pre-set questions, whereas unstructured interviews are more free-flowing conversations where the interviewer can probe and explore topics as they come up. Interviews are particularly useful if you want to know how people feel or react to something. For example, it would be very useful to sit down with second career teachers in either a structured or unstructured interview to gain information about how they represent and discuss their teaching careers.  Surveys – Written questionnaires and open ended surveys about ideas, perceptions, and thoughts are other ways by which you can collect data for your qualitative research. For example, in your study of second career schoolteachers, perhaps you decide to do an anonymous survey of 100 teachers in the area because you're concerned that they may be less forthright in an interview situation than in a survey where their identity was anonymous. "Document analysis" – This involves examining written, visual, and audio documents that exist without any involvement of or instigation by the researcher. There are lots of different kinds of documents, including "official" documents produced by institutions and personal documents, like letters, memoirs, diaries and, in the 21st century, social media accounts and online blogs. For example, if studying education, institutions like public schools produce many different kinds of documents, including reports, flyers, handbooks, websites, curricula, etc. Maybe you can also see if any second career teachers have an online meet group or blog. Document analysis can often be useful to use in conjunction with another method, like interviewing. Once you have collected your data, you can begin to analyze it and come up with answers and theories to your research question. Although there are a number of ways to analyze your data, all modes of analysis in quantitative research are concerned with textual analysis, whether written or verbal.   Coding – In coding, you assign a word, phrase, or number to each category. Start out with a pre-set list of codes that you derived from your prior knowledge of the subject. For example, "financial issues" or "community involvement" might be two codes you think of after having done your literature review of second career teachers. You then go through all of your data in a systematic way and "code" ideas, concepts and themes as they fit categories. You will also develop another set of codes that emerge from reading and analyzing the data. For example, you may see while coding your interviews, that "divorce" comes up frequently. You can add a code for this. Coding helps you organize your data and identify patterns and commonalities.   Descriptive Statistics – You can analyze your data using statistics. Descriptive statistics help describe, show or summarize the data to highlight patterns. For example, if you had 100 principal evaluations of teachers, you might be interested in the overall performance of those students. Descriptive statistics allow you to do that. Keep in mind, however, that descriptive statistics cannot be used to make conclusions and confirm/disprove hypotheses.   Narrative analysis – Narrative analysis focuses on speech and content, such as grammar, word usage, metaphors, story themes, meanings of situations, the social, cultural and political context of the narrative.   Hermeneutic Analysis – Hermeneutic analysis focuses on the meaning of a written or oral text. Essentially, you are trying to make sense of the object of study and bring to light some sort of underlying coherence.   Content analysis/Semiotic analysis – Content or semiotic analysis looks at texts or series of texts and looks for themes and meanings by looking at frequencies of words. Put differently, you try to identify structures and patterned regularities in the verbal or written text and then make inferences on the basis of these regularities. For example, maybe you find the same words or phrases, like "second chance" or "make a difference," coming up in different interviews with second career teachers and decide to explore what this frequency might signify. When preparing the report on your qualitative research, keep in mind the audience for whom you are writing and also the formatting guidelines of the research journal you wish to submit your research to. You will want to make sure that your purpose for your research question is compelling and that you explain your research methodology and analysis in detail.
Summary: Collect your data. Analyze your data. Write up your research.