W. McKibben, R. Cade, Lucy L. Purgason, Edward Wahesh
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引用次数: 18
Abstract
Abstract Content analysis is a flexible methodology that allows researchers to examine trends in communication, such as journal articles, written narratives, personal journals, and videos, to name a few. In this article, we describe a deductive approach to content analysis methodology that follows an a priori design and allows for descriptive and inferential analysis of communication in counseling outcome research. We review four replicable steps designed to maximize validity and generalizability: unitizing data, sampling units, recording categories, and reducing units into interpretable categories. Within these four steps, we discuss identifying units for analysis, sampling strategies and sample sizes, constructing a coding team, developing codebooks and coding sheets, conducting pilot tests, tracking interrater reliability, reaching consensus, and writing up findings. We also present future applications for content analysis in counseling research, including diverse sources of data (e.g., case notes, counseling videos) and integration of inferential statistical testing into the method.
期刊介绍:
Counseling Outcome Research and Evaluation (CORE) provides counselor educators, researchers, educators, and other mental health practitioners with outcome research and program evaluation practices for work with individuals across the lifespan. It addresses topics such as: treatment efficacy, clinical diagnosis, program evaluation, research design, outcome measure reviews. This journal also serves to address ethical, legal, and cultural concerns in the assessment of dependent variables, implementation of clinical interventions, and outcome research. Manuscripts typically fall into one of the following categories: Counseling Outcome Research: Treatment efficacy and effectiveness of mental health, school, addictions, rehabilitation, family, and college counseling interventions across the lifespan as reported in clinical trials, single-case research designs, single-group designs, and multi- or mixed-method designs.