The Routledge Guide to Interviewing: Oral History, Social Enquiry & Investigation

The Routledge Guide to Interviewing sets out a well-tested and practical approach and methodology: what works, difficulties and dangers to avoid and key questions which must be answered before you set out. Background methodological issues and arguments are considered and drawn upon but the focus is on what is ethical, legally acceptable and productive:
-Rationale (why, what for, where, how)
-Ethics and Legalities (informed consent, data protection, risks, embargoes)
-Resources (organisational, technical, intellectual)
-Preparation (selecting and approaching interviewees, background and biographical research, establishing credentials, identifying topics)
-Technique (developing expertise and confidence)
-Audio-visual interviews
-Analysis (modes, methods, difficulties)
-Storage (archiving and long-term preservation)
-Sharing Resources (dissemination and development)

From death row to the mansion of a head of state, small kitchens and front parlours, to legislatures and presbyteries, Anna Bryson and Seán McConville’s wide interviewing experience has been condensed into this book. The material set out here has been acquired by trial, error and reflection over a period of more than four decades. The interviewees have ranged from the delightfully straightforward to the painfully difficult to the near impossible – with a sprinkling of those that were impossible.
Successful interviewing draws on the survival skills of everyday life. This guide will help you to adapt, develop and apply these innate skills. Including a range of useful information such as sample waivers, internet resources, useful hints and checklists, it provides sound and plain-speaking support for the oral historian, social scientist and investigator.

The influence of socio-demographic, psychological and knowledge-related variables alongside perceived cooking and food skills abilities in the prediction of diet quality in adults: a nationally representative cross-sectional study

Background: Interventions to increase cooking skills (CS) and food skills (FS) as a route to improving overall diet are popular within public health. This study tested a comprehensive model of diet quality by assessing the influence of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. The correspondence of two measures of diet quality further validated the Eating Choices Index (ECI) for use in quantitative research.
Methods: A cross-sectional survey was conducted in a quota-controlled nationally representative sample of 1049 adults aged 20–60 years drawn from the Island of Ireland. Surveys were administered in participants’ homes via computer-assisted personal interviewing (CAPI) assessing a range of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. Regression models were used to model factors influencing diet quality. Correspondence between 2 measures of diet quality was assessed using chi-square and Pearson correlations.
Results: ECI score was significantly negatively correlated with DINE Fat intake (r = -0.24, p < 0.001), and ECI score was significantly positively correlated with DINE Fibre intake (r = 0.38, p < 0.001), demonstrating a high agreement. Findings indicated that males, younger respondents and those with no/few educational qualifications scored significantly lower on both CS and FS abilities. The relative influence of socio-demographic, knowledge, psychological variables and CS and FS abilities on dietary outcomes varied, with regression models explaining 10–20 % of diet quality variance. CS ability exerted the strongest relationship with saturated fat intake (β = -0.296, p < 0.001) and was a significant predictor of fibre intake (β = -0.113, p < 0.05), although not for healthy food choices (ECI) (β = 0.04, p > 0.05).
Conclusion: Greater CS and FS abilities may not lead directly to healthier dietary choices given the myriad of other factors implicated; however, CS appear to have differential influences on aspects of the diet, most notably in relation to lowering saturated fat intake. Findings suggest that CS and FS should not be singular targets of interventions designed to improve diet; but targeting specific sub-groups of the population e.g. males, younger adults, those with limited education might be more fruitful. A greater understanding of the interaction of factors influencing cooking and food practices within the home is needed.

Can childhood neglect be prevented through parenting skills training?

Child neglect continues to be the most prevalent form of child maltreatment, yet it has received less specific research attention than other forms of maltreatment (Zuravin, 1999). It is only in recent years that neglect has been seen as a phenomenon that needs to be conceptualised separately to other forms of abuse (Gershater- Molko et al., 2002). Although the term ‘neglect’ is used generally when children do not receive minimal physical and/or emotional care, there is no single agreed definition; one possible reason for this is the lack of consensus about minimally adequate standards of childcare either within professional groups or existing research (Rose and Meezan, 1996; Stone, 1998).

Mathematical prerequisites for learning statistics in Psychology: Assessing core skills of numeracy and mathematical reasoning among undergraduates.

This study sought to extend earlier work by Mulhern and Wylie (2004) to investigate a UK-wide sample of psychology undergraduates. A total of 890 participants from eight universities across the UK were tested on six broadly defined components of mathematical thinking relevant to the teaching of statistics in psychology - calculation, algebraic reasoning, graphical interpretation, proportionality and ratio, probability and sampling, and estimation. Results were consistent with Mulhern and Wylie's (2004) previously reported findings. Overall, participants across institutions exhibited marked deficiencies in many aspects of mathematical thinking. Results also revealed significant gender differences on calculation, proportionality and ratio, and estimation. Level of qualification in mathematics was found to predict overall performance. Analysis of the nature and content of errors revealed consistent patterns of misconceptions in core mathematical knowledge , likely to hamper the learning of statistics.