Bubble Up: The last interview question. Is there any way to get it right?

2021 ◽  
Author(s):  
Team DFTB
Keyword(s):  
Author(s):  
Sara Watkin ◽  
Andrew Vincent

This chapter focuses on the preparation you will need to go through to be successful at the consultant interview. Many candidates wrongly think that the key to interview success is to know about everything political that has ever happened to the NHS or their speciality. Unfortunately this belief sets them up to be unsuccessful. The key is to take time to learn as much about yourself as possible so that you can use every interview question as an opportunity to promote why you should be given the job. In this chapter we explore: • An appropriate preparation plan • Key sales techniques • Key rules for answering questions effectively • Key tips for answering specific types of question, e.g. the negative question or the opinion question The preparation needed for answering political questions is addressed in Chapter 9. Guidance on how to approach answering questions within the interview itself is addressed in Chapter 6, e.g. not understanding the question asked. It goes without saying that the purpose of the interview is for the interview committee to appoint the right person for the job. In general this will be the person who they feel: • Will most fit with the ethos of the team, service and Trust • Is a safe doctor • Will be both a leader and a team player • Will proactively develop the service • Will work collaboratively with Trust management However, not all interview committees want all of the above in all cases. For instance, although many Trusts are currently looking for proactive, business-focused goal achievers (because there is a shortage!), some may simply want a quiet, methodical clinical professional. At the pre-interview visit it is vitally important to get a sense of what the key players really do want so that at interview you can effectively promote the benefits you will bring to the post in that regard. It is equally true that not all panel members are the same. Many panels are made up of people with divergent requirements.


Author(s):  
Ben Jann

Although multiple-response questions are quite common in survey research, Stata's official release does not provide much capability for an effective analysis of multiple-response variables. For example, in a study on drug addiction an interview question might be, “Which substances did you consume during the last four weeks?” The respondents just list all the drugs they took, if any; e.g., an answer could be “cannabis, cocaine, heroin” or “ecstasy, cannabis” or “none”, etc. Usually, the responses to such questions are stored as a set of variables and, therefore, cannot be easily tabulated. I will address this issue here and present a new module to compute one- and two-way tables of multiple responses. The module supports several types of data structure, provides significance tests, and offers various options to control the computation and display of the results. In addition, tools to create graphs of multiple-response distributions are presented.


2021 ◽  
Author(s):  
Soham Datta ◽  
Prabir Mallick ◽  
Sangameshwar Patil ◽  
Indrajit Bhattacharya ◽  
Girish Palshikar

2019 ◽  
pp. 75-82
Author(s):  
Spencer James Zeiger

Study participants were asked to reflect on any regrets they may have had during their career. Specifically, they were asked to recall an action or decision that, given the opportunity, they would like to do over. They were also asked to talk about how they would change the course of events if they could. More so than any other interview question, this question about “do-overs” gave participants the greatest pause. Among the responses were empathy shortage, dropping the ball, making hiring mistakes, spending too much time at work, bringing home dirty laundry, working in a toxic environment, and being bullied by a student. The author includes a story of how he was hoodwinked by flattery.


1998 ◽  
Vol 3 (1) ◽  
pp. 5-16 ◽  
Author(s):  
J. Pilcher

Cohort is an important predictor of gender-role attitudes, as a number of surveys have shown. In this article, I undertake a comparison between cohorts of women on the issue of role reversal, with a primary focus on the qualitative differences in what was said and by whom, rather than in how many said what. It is my argument that a qualitative analysis is revealing of the way in which cohort acts to influence the very language used to report ‘agreement’ or ‘disagreement’ on matters of gender. Via an analysis of responses to an interview question on role reversal, it is shown that historical location via cohort operates to make permissible and/or available, some ways of talking rather than others. Consequently, on the issue of role reversal, gender featured as a more relevant category in the talk of the oldest cohort than in the talk of the younger cohorts.


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