Evaluating the measurement of infertility and infertility treatment-related depression in women : a multiphase qualitative and quantitative analysis of psychometric properties.

dc.contributor.advisorLimbers, Christine A.
dc.creatorPavlov, Christina L., 1996-
dc.creator.orcid0000-0002-6208-4137
dc.date.accessioned2024-07-30T12:46:17Z
dc.date.available2024-07-30T12:46:17Z
dc.date.created2023-12
dc.date.issued2023-12
dc.date.submittedDecember 2023
dc.date.updated2024-07-30T12:46:17Z
dc.description.abstractInfertility affects approximately 48.5 million reproductive aged couples worldwide (Kiani et al., 2021; Dube et al., 2021; WHO, 2023). Women who are infertile experience rates of depression nearly four times higher than the general population. While depression is a construct of interest for many studies that focus on infertility, little has been done to ensure the psychometric rigor of the measures of depression being used in these studies. The two studies included in this dissertation expand the current body of psychometric literature regarding measures of infertility-related depression. Study 1 was a phenomenological systematic review of depression in women experiencing infertility in which current diagnostic criteria were plotted across qualitative studies and new themes central to infertility-related depression were identified. Study 2 presented a systematic review and evaluation of the psychometric properties of measures of depression used in populations of women with infertility reported in the current literature. Together, these two studies identified important gaps in the empirical literature and recommendations for future research are provided.
dc.format.mimetypeapplication/pdf
dc.identifier.uri
dc.identifier.urihttps://hdl.handle.net/2104/12926
dc.language.isoEnglish
dc.rights.accessrightsNo access – contact librarywebmaster@baylor.edu
dc.titleEvaluating the measurement of infertility and infertility treatment-related depression in women : a multiphase qualitative and quantitative analysis of psychometric properties.
dc.typeThesis
dc.type.materialtext
local.embargo.lift2028-12-01
local.embargo.terms2028-12-01
thesis.degree.departmentBaylor University. Dept. of Psychology & Neuroscience.
thesis.degree.grantorBaylor University
thesis.degree.namePh.D.
thesis.degree.programPsychology
thesis.degree.schoolBaylor University

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