A Content Analysis of Quantitative Research in <i><scp>J</scp>ournal of <scp>M</scp>arital and <scp>F</scp>amily <scp>T</scp>herapy:</i> A 10‐Year Review

Parker, Elizabeth Oshrin; Chang, Jennifer; Thomas, Volker

doi:10.1111/jmft.12138

Cited by 10 publications

(6 citation statements)

References 272 publications

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“…The approach for the study was descriptive in nature. We based our approach to the analysis on other similar analyses in the past (Blumer et al., ; Parker et al., ; Seedall, Holtrop, & Parra‐Cardona, ) to analyze the frequency that topics related to sex therapy or sexual relationships are discussed in peer‐reviewed MFT/Family studies journals. By using a systematic process, a content analysis identifies and analyzes patterns and themes within various types of content using a unique coding process that focuses mostly on identifying characteristics of the content (Bauer, ).…”

Section: Methodsmentioning

confidence: 99%

“…We did so to highlight the areas in which there appears to be a lack of integration between the MFT and sex therapy field, such as general sex education and training. In a manner similar to other content analyses (e.g., Blumer, Hertlein, Smith, & Allen, ; Parker, Chang, & Thomas, ), we determined the extent to which sex research is being published and what themes emerged in the topics and analyses of these articles. Lastly, we examined some of the publishing trends of these articles in order to present them in such a way that the strengths and gaps in the literature would be beneficial to future research.…”

Section: Literature Reviewmentioning

confidence: 99%

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The State of Sex Research in MFT and Family Studies Literature: A Seventeen‐Year Content Analysis

Jones

Johnson

Wenglein

et al. 2018

J Marital Family Therapy

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The ability to conceptualize and treat sexual problems has been widely accepted as a crucial skill to master the MFT training. However, clients' sexual relationships are often ignored by clinicians because of a lack of experience or training, or personal discomfort. In this content analysis, we review sex and sex therapy research within MFT and family studies journals since the turn of the century. Of the 13,919 articles published within the 15 journals, 137 focused on sexuality or sex therapy. The articles were divided into five themes: sexual and relational health, sexual diversity, treatment and contributors of sexual dysfunction, sex therapy practices, and sexual education and development. Implications for clinical practices, sex therapy integration, and future research are discussed.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The State of Sex Research in MFT and Family Studies Literature: A Seventeen‐Year Content Analysis

Jones

Johnson

Wenglein

et al. 2018

J Marital Family Therapy

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“…Despite the potential utility of GMM to the marriage and family therapy field, in examining complex family processes or therapeutic change, GMM or latent class growth analyses (LCGA, will be described more in depth below) are being underutilized. Parker, Chang, and Thomas (2016) conducted a content analysis of the quantitative research published in the Journal of Marital and Family Therapy (JMFT) from 2005 to 2014, and found that only n = 10 manuscripts had been published in that decade employing multilevel growth modeling (i.e., growth curve modeling, linear growth model, or multilevel growth model). None of those manuscripts employed GMM or LCGA.…”

Section: Growth Mixture Modeling To Assess Differences In Change Acromentioning

confidence: 99%

Identifying Different Ways People Change: A Latent Basis Growth Mixture Model Example Identifying Nonlinear Trajectories of Binge Drinking

Soloski¹,

Durtschi

2019

J Marital Family Therapy

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Our field of couple and family therapy focuses on change, different ways people change, and how therapists can facilitate change. Change can be modeled as an average trajectorygrowth curve model-or as multiple classes of trajectories-growth mixture model. The field of MFT has not yet fully embraced implementing more advanced longitudinal modeling procedures to study what we care about most, change across time. To support our field moving in this direction, we provide a step-by-step description and example in Mplus software. Our example analysis used N = 5,958 participants from the Add Health dataset, to identify unique classifications of trajectories of binge drinking. We discuss how these analytical methods provide increased options to advance family science and clinical research. Studying change across time is at the heart of family science and clinical research. Family development, family processes, symptom development, and therapeutic change, are all complex, heterogeneous, and inherently longitudinal in nature. Therefore, a sophisticated approach to examine these intricacies capable of accounting for various rates of change across time is essential. Recent statistical developments can more fully reflect family and clinical dyadic processes across time, such as: autoregressive models (i.e., inter-associations across time between multiple variables), latent growth curves (LGC; average rate of change across time; Duncan, Duncan, & Strycker, 2006), and latent class growth analysis (LCGA) or growth mixture models (GMM; multiple paths of change across time; Jung & Wickrama, 2008), latent change score models (Grimm, Ram, & Estabrook, 2017), and latent transition analyses (Hawkins et al., 2017). These techniques vary in the research questions they can address and their focus. Most statistical approaches, including autoregressive models and latent growth curves, are what can be classified as "variablecentered" approaches, meaning that the population of interest is considered homogenous and that an average-level of association between variables, or an average rate of change adequately represents the data (Jung & Wickrama, 2008). Person-centered modeling, on the other hand, considers the population as heterogeneous. This type of modeling can identify groups of people that have similar response patterns to a questionnaire (e.g., latent class analysis), that membership in a subgroup can change over time (e.g., latent transition analysis), and that rates of change may vary between different groups of participants who may share common characteristics (e.g., growth mixture modeling). Growth mixture models (GMM) are a "person-centered" approach to identifying

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“…Recent examples of content analysis applied to professional journals include: an examination of two teacher education journals (Rock, Cheek, Sullivan, Jones, Holden & Kang, 2016), one looking at types and trends of research design and statistical analysis in the Journal of Marital and Family Therapy (Parker, Chang, & Thomas, 2016), and one in the Journal of Black Psychology (Cokley, Awosogba, & Taylor, 2014).…”

Section: Introductionmentioning

confidence: 99%

Content Analysis of Journal of Aging and Health, 2005-2014

Zhao¹,

Royse²

2016

Proceedings of the 2017 International Conference on Advanced Technologies Enhancing Education (ICAT2E 2017)

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Abstract. Objective: The purpose of this study was to analyse the content of Journal of Aging and Health to identify prevalent topics, trends, and under-represented areas as suggested by the keywords associated with articles published from 2005 through 2014. Methods: Keywords associated with each article were entered into an Excel database. After reviewing and discussing the lists of keywords multiple times, the investigators created 23 topical categories. Results: There were 1324 unique keywords and 2572 total. The five largest keyword categories were Aged/Geriatric, Study, Physical disability, Health, and Demographic. The smallest of the categories, "Sex," contained eight keywords. Caregiver/caregiving appeared 31 times. Overall, the keywords "Hispanic" "Latino" and "Mexican American" outnumbered those for African Americans. Discussion: For several topics, keywords appeared infrequently and suggest areas where more work may be needed. Keywords appearing only once in 10 years were: hospice, program evaluation, cost-benefit, suicide, and assistive technology.

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A Content Analysis of Quantitative Research in Journal of Marital and Family Therapy: A 10‐Year Review

Cited by 10 publications

References 272 publications

The State of Sex Research in MFT and Family Studies Literature: A Seventeen‐Year Content Analysis

The State of Sex Research in MFT and Family Studies Literature: A Seventeen‐Year Content Analysis

Identifying Different Ways People Change: A Latent Basis Growth Mixture Model Example Identifying Nonlinear Trajectories of Binge Drinking

Content Analysis of Journal of Aging and Health, 2005-2014

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