Interviewing:
Interviewing is another great technique of data collection and it involves asking questions to get direct answers. These interviews could be either one to one, in the form of questionnaires, or the more recent form of asking opinions through internet. However, there are limitations of interviewing as participants may not come up with true or honest answers depending upon privacy level of the questions. Though they try to be honest, there is an element of lie in answers that can distort results of the project.
Though both observation and interviewing are great techniques of data collection, they have their own strengths and weaknesses. It is important to keep in mind which one of the two will produce desired results before finalizing.
Observation vs. interviewing:
Observation |
Interviewing |
Observation requires precise analysis by the researcher and often produces most accurate results although it is very time consuming. |
Interviewing is easier but suffers from the fact that participants may not come up with honest replies.
|
Interview format:
Interviews take many different forms. It is a good idea to ask the organisation in advance what format the interview will take.
Competency/criteria based interviews:
These are structured to reflect the competencies or qualities that an employer is seeking for a particular job, which will usually have been detailed in the job specification or advert. The interviewer is looking for evidence of your skills and may ask such things as: µGive an example of a time you worked as part of a team to achieve a common goal.
Technical interviews:
If you have applied for a job or course that requires technical knowledge, it is likely that you will be asked technical questions or has a separate technical interview. Questions may focus on your final year project or on real or hypothetical technical problems. You should be prepared to prove yourself, but also to admit to what you do not know and stress that you are keen to learn. Do not worry if you do not know the exact answer - interviewers are interested in your thought process and logic.
* Academic interviews:
These are used for further study or research positions. Questions are likely to centre on your academic history to date.
* Structured interviews:
The interviewer has a set list of questions, and asks all the candidates the same questions.
* Formal/informal interviews:
Some interviews may be very formal, while others will feel more like an informal chat about you and your interests. Be aware that you are still being assessed, however informal the discussion may seem.
* Portfolio based interviews:
If the role is within the arts, media or communications industries, you may be asked to bring a portfolio of your work to the interview, and to have an in-depth discussion about the pieces you have chosen to include.
* Senior/case study interviews:
These ranges from straightforward scenario questions (e.g. µWhat would you do in a situation where to the detailed analysis of a hypothetical business problem. You will be evaluated on your analysis of the problem, how you identify the key issues, how you pursue a particular line of thinking and whether you can develop and present an appropriate framework for organising your thoughts.
Specific types of interview
The Screening Interview:
Companies use screening tools to ensure that candidates meet minimum qualification requirements. Computer programs are among the tools used to weed out unqualified candidates. (This is why you need a digital resume that is screening-friendly. See our resume centre for help.) Sometimes human professionals are the gatekeepers. Screening interviewers often have honed skills to determine whether there is anything that might disqualify you for the position. Remember they do not need to know whether you are the best fit for the position, only whether you are not a match. For this reason, screeners tend to dig for dirt. Screeners will hone in on gaps in your employment history or pieces of information that look inconsistent. They also will want to know from the outset whether you will be too expensive for the company.
Some tips for maintaining confidence during screening interviews:
* Highlight your accomplishments and qualifications.
* Get into the straightforward groove. Personality is not as important to the screener as verifying your qualifications. Answer questions directly and succinctly. Save your winning personality for the person making hiring decisions!
* Be tactful about addressing income requirements. Give a range, and try to avoid giving specifics by replying, "I would be willing to consider your best offer."
* If the interview is conducted by phone, it is helpful to have note cards with your vital information sitting next to the phone. That way, whether the interviewer catches you sleeping or vacuuming the floor, you will be able to switch gears quickly
The Informational Interview:
On the opposite end of the stress spectrum from screening interviews is the informational interview. A meeting that you initiate, the informational interview is underutilized by job-seekers who might otherwise consider themselves savvy to the merits of networking. Jobseekers ostensibly secure informational meetings in order to seek the advice of someone in their current or desired field as well as to gain further references to people who can lend insight. Employers that like to stay apprised of available talent even when they do not have current job openings, are often open to informational interviews, especially if they like to share their knowledge, feel flattered by your interest, or esteem the mutual friend that connected you to them. During an informational interview, the jobseeker and employer exchange information and get to know one another better without reference to specific job opening.
This takes off some of the performance pressure, but be intentional nonetheless:
* Come prepared with thoughtful questions about the field and the company.
* Gain references to other people and make sure that the interviewer would be comfortable if you contact other people and use his or her name.
* Give the interviewer your card, contact information and resume.· Write a thank you note to the interviewer.
The Directive Style:
In this style of interview, the interviewer has a clear agenda that he or she follows unflinchingly. Sometimes companies use this rigid format to ensure parity between interviews; when interviewers ask each candidate the same series of questions, they can more readily compare the results. Directive interviewers rely upon their own questions and methods to tease from you what they wish to know. You might feel like you are being steam-rolled, or you might find the conversation develops naturally. Their style does not necessarily mean that they have dominance issues, although you should keep an eye open for these if the interviewer would be your supervisor. Either way, remember:· Flex with the interviewer, following his or her lead.· Do not relinquish complete control of the interview. If the interviewer does not ask you for information that you think is important to proving your superiority as a candidate, politely interject it.
The Meandering Style:
This interview type, usually used by inexperienced interviewers, relies on you to lead the discussion. It might begin with a statement like "tell me about yourself," which you can use to your advantage. The interviewer might ask you another broad, open-ended question before falling into silence. This interview style allows you tactfully to guide the discussion in a way that best serves you. The following strategies, which are helpful for any interview, are particularly important when interviewers use a non-directive approach:
* Come to the interview prepared with highlights and anecdotes of your skills, qualities and experiences. Do not rely on the interviewer to spark your memory-jot down some notes that you can reference throughout the interview.
* Remain alert to the interviewer. Even if you feel like you can take the driver's seat and go in any direction you wish, remain respectful of the interviewer's role. If he or she becomes more directive during the interview, adjust.
* Ask well-placed questions. Although the open format allows you significantly to shape the interview, running with your own agenda and dominating the conversation means that you run the risk of missing important information about the company and its needs.
Question 9:
Strictly speaking, would case studies be considered as scientific research? Why or why not?
Answer:
Case studies are a tool for discussing scientific integrity. Although one of the most frequently used tools for encouraging discussion, cases are only one of many possible tools. Many of the principles discussed below for discussing case studies can be generalized to other approaches to encouraging discussion about research ethics.
Cases are designed to confront readers with specific real-life problems that do not lend themselves to easy answers. Case discussion demands critical and analytical skills and, when implemented in small groups, also fosters collaboration (Pimple, 2002). By providing a focus for discussion, cases help trainees to define or refine their own standards, to appreciate alternative approaches to identifying and resolving ethical problems, and to develop skills for analyzing and dealing with hard problems on their own. The effective use of case studies is comprised of many factors, including:
* appropriate selection of case(s) (topic, relevance, length, complexity)
* method of case presentation (verbal, printed, before or during discussion)
* format for case discussion (Email or Internet-based, small group, large group)
* leadership of case discussion (choice of discussion leader, roles and responsibilities for discussion leader)
* outcomes for case discussion (answers to specific questions, answers to general questions, written or verbal summaries)
Research methods don't seem so intimidating when you're familiar with the terminology. This is important whether you're conducting evaluation or merely reading articles about other studies to incorporate in your program. To help with understanding, here are some basic definitions used.
* Variable: Characteristics by which people or things can be described. Must have more than one level; in other words, to be able to change over time for the same person/object, or from person to person, or object to object. Some variables, called attributes, cannot be manipulated by the researcher (e.g., socioeconomic status, IQ score, race, gender, etc.). Some variables can be manipulated but are not in a particular study. This occurs when subjects self-select the level of the independent variable, or the level is naturally occurring (as with ex post facto research).
* Manipulation: Random assignment of subjects to levels of the independent variable (treatment groups).
* Independent variable: The treatment, factor, or presumed cause that will produce a change in the dependent variable. This is what the experimenter tries to manipulate. It is denoted as "X" on the horizontal axis of a graph.
* Dependent variable: The presumed effect or consequence resulting from changes in the independent variable. This is the observation made and is denoted by "Y" on the vertical axis of a graph. The score of "Y" depends on the score of "X."
* Population: The complete set of subjects that can be studied: people, objects, animals, plants, etc.
* Sample: A subset of subjects that can be studied to make the research project more manageable. There are a variety of ways samples can be taken. If a large enough random samples are taken, the results can be statistically similar to taking a census of an entire population--with reduced effort and cost.
Case Study:
A case study is conducted for similar purpose as the above but is usually done with a smaller sample size for more in-depth study. A case study often involves direct observation or interviews with single subjects or single small social units such as a family, club, school classroom, etc. This is typically considered qualitative research.
Purpose: Explain or Predict
Type of Research to Use: Relational Study
In a relational study you start with a research hypothesis, that is, is what you're trying to "prove."
Examples of research hypotheses for a relational study:
* The older the person, the more health problems he or she encounters.
* 4-H members attending 4-H summer camp stay enrolled in 4-H longer.
* The greater the number of money management classes attended, the greater the amount of annual savings achieved.
Types of relational studies include correlational studies and ex post facto studies.
Correlational Study:
A correlational study compares two or more different characteristics from the same group of people and explains how two characteristics vary together and how well one can be predicted from knowledge of the other.
A concurrent correlational study draws a relationship between characteristics at the same point in time. For example, a student's grade point average is related to his or her class rank.
A predictive correlational study could predict a later set of data from an earlier set. For example, a student's grade point average might predict the same student's grade point average during senior year. A predictive correlational study could also use one characteristic to predict what another characteristic will be at another time. For example, a student's SAT score is designed to predict college freshman grade point average.
Ex Post Facto (After the Fact) Study:
An ex post facto study is used when experimental research is not possible, such as when people have self-selected levels of an independent variable or when a treatment is naturally occurring and the researcher could not "control" the degree of its use. The researcher starts by specifying a dependent variable and then tries to identify possible reasons for its occurrence as well as alternative (rival) explanations such confounding (intervening, contaminating, or extraneous) variables are "controlled" using statistics.
This type of study is very common and useful when using human subjects in real-world situations and the investigator comes in "after the fact." For example, it might be observed that students from one town have higher grades than students from a different town attending the same high school. Would just "being from a certain town" explain the differences? In an ex post facto study, specific reasons for the differences would be explored, such as differences in income, ethnicity, parent support, etc. It is important to recognize that, in a relational study, "cause and effect" cannot be claimed. All that can be claimed is that that there is a relationship between the variables.
For that matter, variables that are completely unrelated could, in fact, vary together due to nothing more than coincidence. That is why the researcher needs to establish a plausible reason (research hypothesis) for why there might be a relationship between two variables before conducting a study. For instance, it might be found that all football teams with blue uniforms won last week. There is no likely reason why the uniform color had any relationship to the games' outcomes, and it certainly was not the cause for victory. Similarly, you must be careful about claiming that your Extension program was the "cause" of possible results.
