Bøker i PKT GD TO SOCIAL WORK RESEARCH METHODS-serien

Practical guidelines, tips and strategies, and action steps checklists in each chapter make this a handy pocket guide for students as well as advisors seeking a comprehensive, unintimidating road map to the social work dissertation.

This Pocket Guide covers the visual, graphical, and statistical analysis of data from single-case studies, with a much more comprehensive coverage of the range of data analysis methods than is contained in any other books on the topic for social workers.

This pocket guide offers researchers a framework for conducting research in a culturally sensitive manner with individuals, families, and communities in diverse settings.

Survival analysis is a class of statistical methods for studying the occurrence and timing of events. Statistical analysis of longitudinal data, particularly censored data, lies at the heart of social work research, and many of social work research's empirical problems, such as child welfare, welfare policy, evaluation of welfare-to-work programs, and mental health, can be formulated as investigations of timing of event occurrence. Social work researchers also oftenneed to analyze multilevel or grouped data (for example, event times formed by sibling groups or mother-child dyads or recurrences of events such as reentries into foster care), but these and other more robust methods can be challenging to social work researchers without a background in higher math.With clearly written summaries and plentiful examples, all written with social work issues and social work researchers in mind, this pocket guide will put this important statistical tool in the hands of many more social work researchers than have been able to use it before, to the field's benefit.