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The article defines, describes, and discusses the seven threats to the internal validity of experiments discussed by Donald T. Campbell in his classic 1957 article: history, maturation, testing, instrument decay, statistical regression, selection, and mortality. These concepts are said to be threats to the internal validity of experiments because they pose alternate explanations for the apparent causal relationship between the independent variable and dependent variable of an experiment if they are not adequately controlled. A series of simple diagrams illustrate three pre-experimental designs and three true experimental designs discussed by Campbell in 1957 and several quasi-experimental designs described in his book written with Julian C. Stanley in 1966. The current article explains why each design controls for or fails to control for these seven threats to internal validity.

This article discusses some of the types of relationships observed in healthcare research and depicts them in graphic form. The article begins by explaining two basic associations observed in chemistry and physics (Boyles' Law and Charles' Law), and illustrates how these associations are similar to curvilinear and linear associations, respectively, found in healthcare. Graphs of curvilinear associations include morbidity curves and survival and mortality curves. Several examples of linear relationships are given and methods of testing linear relationships with interval and ratio data are introduced (i.e., correlation and ordinary least-squares regression). In addition, 2 × 2 contingency tables for testing the association between categorical (or nominal) data are described. Finally, Sir Austin Bradford Hill's eight criteria for assessing causality from research on associations between variables are presented and explained. Three appendices provide interested readers with opportunities to practice interpreting selected curvilinear and linear relationships.

This article discusses statistical measures of variability in relation to measures of central tendency and levels of measurement. Three measures of variability used in healthcare research (the range, the interquartile range, and the standard deviation) are described and compared, including their uses and limitations. The article describes how each of the three measures is calculated, and it provides a step-by-step example of calculating the sums of squares, variance, and standard deviation. Graphs of frequency and percentage distributions are used to show how the interquartile range and the standard deviation represent the variability observed within distributions. The article discusses the properties of the normal curve regarding the distribution of scores around the mean in relation to the standard deviation, and illustrates differences in the shapes of normal curves with the same mean but different standard deviations.

The present study was specifically designed to examine the associations among religious commitment, belief in meaning and purpose in life, and psychiatric symptoms among the general public using data from the 2010 Baylor Religion Survey (BRS). The BRS obtained data from a nationwide sample of 1,714 U.S. adults, 1,450 of which are included in the current analyses. The central hypothesis of the study, based on identity theory, was that religious commitment would interact with belief in meaning and purpose in their net associations on psychiatric symptoms: general anxiety, social anxiety, paranoia, obsession, and compulsion. Specifically, it was hypothesized that believing life lacks meaning and purpose will have a more pernicious association among highly religious individuals, than it will among individuals who are less religious. Other hypotheses derived from previous research were also tested. The results confirm the central hypothesis of the study for 4 of the 5 classes of psychiatric symptoms. The results are discussed with respect to identity theory, evolutionary threat assessment systems (ETAS) theory, and the hostile world scenario.

The three measures of central tendency are discussed in this article: the mode, the median, and the mean. These measures of central tendency describe data in different and important ways, in relation to the level of measurement (nominal, ordinal, interval, or ratio) used to obtain the data. The results of published research studies, thought experiments, and graphs of frequency and percentage distributions of data are used as examples to demonstrate and explain the similarities and differences among these summary measures of data. The examples include the application of nominal, ordinal, interval, and ratios scales to measure pain, anxiety, chaplaincy services, religious behaviors, and treatment-related preferences, and their respective measures of central tendency. Examples of unimodal and bimodal distributions, and differences in the relative locations of the median and mean in symmetrical and skewed distributions are also presented and discussed.

The t-test developed by William S. Gosset (also known as Student's t-test and the two-sample t-test) is commonly used to compare one sample mean on a measure with another sample mean on the same measure. The outcome of the t-test is used to draw inferences about how different the samples are from each other. It is probably one of the most frequently relied upon statistics in inferential research. It is easy to use: a researcher can calculate the statistic with three simple tools: paper, pen, and a calculator. A computer program can quickly calculate the t-test for large samples. The ease of use can result in the misuse of the t-test. This article discusses the development of the original t-test, basic principles of the t-test, two additional types of t-tests (the one-sample t-test and the paired t-test), and recommendations about what to consider when using the t-test to draw inferences in research.

Patients often rely on spirituality to cope with anxiety, yet it is not known if spiritual coping actually helps patients deal with anxiety. The present study was designed, therefore, to examine this relationship. A series of patients who were referred to the palliative care team at New York University, Langone Medical Center (N = 44) were interviewed about their spiritual coping and anxiety. Anxiety was measured using the first three items of the GAD-7. Fourteen items, which were adapted from existing scales, were used to create the "Beliefs and Activities Spirituality Scale" (BASS), having two subscales: Activities (α = .79) and Beliefs (α = .82). Anxiety had a significant negative correlations with the total BASS (r = -.56), and the Activities (r = -.52) and Beliefs (r = -.42) subscales. The salubrious association of spiritual coping and anxiety remained for the BASS and the Activities subscale, after controlling for demographic variables.

The literature review is a key component of professional journal articles and requires a thorough review of the relevant literature. The authors highlight some of the mistakes made by inexperienced authors and provide a step-by-step guide for conducting an electronic literature search using PubMed as an example.

72 Normal 0 false false false EN-US X-NONE X-NONE Continuing education for chaplains, pastoral counselors and clinical pastoral educators is important for maintaining and advancing professional competency. Pastoral professionals who visited the Spiritual Care Collaborative (SCC) website to register for a conference were asked to complete a questionnaire on continuing education. Results of the survey show that continuing education, both in-person and through electronic means, were clearly ranked as the most important activities the SCC partner organizations could provide in the future. Additionally, continuing education preferences vary depending upon constituent groups. These findings have implications for the design of future educational programs.

PURPOSE We wanted to describe the unique issues encountered by our research team in testing an intervention to reduce perinatal depression in real-world community health centers. METHOD We used a case study of an experience in conducting a randomized controlled trial designed to test the effectiveness of a low-cost multimodal psychosocial intervention to reduce prenatal and postpartum depression. Low-income minority women (N = 187) with low-risk pregnancies were randomly assigned to the intervention or treatment as usual. Outcomes of interest were depressive symptoms and social support assessed at 3 months’ postpartum. RESULTS Our intervention was not associated with changes in depressive symptoms or social support. Challenges in implementation were related to participant retention and intervention delivery. Turnover of student therapists affected continuity in participant-therapist relationships and created missed opportunities to deliver the intervention. The academic-community partnership that was formed also required more involvement of health center personnel to facilitate ownership at the site level, especially for fidelity monitoring. While attentive to cultural sensitivity, the project called for more collaboration with participants to define common goals and outcomes. Participatory research strategies could have anticipated barriers to uptake of the intervention and achieved a better match between outcomes desired by researchers and those of participants. CONCLUSION Several criteria for future research planning emerged: assessing what the population is willing and able to accept, considering what treatment providers can be expected to implement, assessing the setting’s capacity to accommodate intervention research, and collecting and using emerging unanticipated data.

Current literature shows that predictors of breastfeeding practice vary depending on women's ethnic background. This study examines predictors of planning to breastfeeding and of successful breastfeeding initiation and persistence, including the relationship to maternal depressive symptoms, social support, and mothers' perception of closeness to their infants, in a sample of low-income African American and Hispanic women in the urban Northeast. Detailed interviews were conducted in the early third trimester, at 2 weeks following delivery, and 3 months postpartum. Rates of intention to breastfeed were similar for Hispanic and African American women. Among Hispanics, greater identification with Hispanic culture was associated with increases in the likelihood of planning to breastfeed. A smaller proportion of Hispanic women persisted, especially among those women who supplemented with formula. For all women, we found no relationship between breastfeeding practice and either social support or depressive symptoms. Mothers' perception of closeness to their infants was greater among breastfeeders compared to bottlefeeders.

This longitudinal study examined depression symptoms among pregnant, low-income, urban Latinas, primarily Puerto Ricans and Dominicans, receiving obstetrical services in community health centers. In all, 106 women were interviewed in late pregnancy, 47 were interviewed again 2 to 3 weeks postpartum, and 42 three months postpartum. Elevated levels of depressive symptoms were evident in 53% of the original sample. Across time, depressive symptoms decreased significantly; however, a decreased score was strongly related to number of negative life events. Social support scores were minimally related to depressive symptomatology. Service recommendations based on these findings include conducting third-trimester assessments of life events experienced during the past year and screening for depression to better identify women at risk of late pregnancy to postpartum–persistent depressive symptoms. More research and clinical attention on dysphoric states in pregnant Latinas and understanding the consequences of impaired perinatal mental health on maternal well-being and infant outcomes are needed.

This article begins by defining the term variable and the terms independent variable and dependent variable, providing examples of each. It then proceeds to describe and discuss synonyms for the terms independent variable and dependent variable, including treatment, intervention, predictor, and risk factor, and synonyms for dependent variable, such as response variables and outcomes. The article explains that the terms extraneous, nuisance, and confounding variables refer to any variable that can interfere with the ability to establish relationships between independent variables and dependent variables, and it describes ways to control for such confounds. It further explains that even though intervening, mediating, and moderating variables explicitly alter the relationship between independent variables and dependent variables, they help to explain the causal relationship between them. In addition, the article links terminology about variables with the concept of levels of measurement in research.

This article summarizes the historical development of operational definitions and discusses their application to research on religion and health, and their importance for research, in general. The diversity of religious concepts that have been operationalized is described, as well as the development of multi-dimensional self-report measures of religion specifically designed for use in health research. The operational definitions of a variety of health concepts are also described, including the development of multi-dimensional self-report measures of health. Some of the most consistently observed salutary relationships between religion and health are mentioned. The rising interest in spirituality in health research is discussed, along with problems with the current operational definitions of spirituality in healthcare research. The levels of measurement used in various, operationally defined religious and healthcare concepts are highlighted.

This article summarizes the major types of research designs used in healthcare research, including experimental, quasi-experimental, and observational studies. Observational studies are divided into survey studies (descriptive and correlational studies), case-studies and analytic studies, the last of which are commonly used in epidemiology: case-control, retrospective cohort, and prospective cohort studies. Similarities and differences among the research designs are described and the relative strength of evidence they provide is discussed. Emphasis is placed on five criteria for drawing causal inferences that are derived from the writings of the philosopher John Stuart Mill, especially his methods or canons. The application of the criteria to experimentation is explained. Particular attention is given to the degree to which different designs meet the five criteria for making causal inferences. Examples of specific studies that have used various designs in chaplaincy research are provided.

Objective: To describe perceived well-being and functional status during uncomplicated late pregnancy among low-income minority women, and to examine the relationship of functional status to depression and social support. Methods: Hispanic and black women with low-risk pregnancies completed an interview consisting of demographics, the Medical Outcomes Study Short Form 36 (SF-36), Beck Depression Inventory-II (BDI-II), and the Norbeck Social Support Questionnaire. Results: Of the 155 women who were eligible and asked to participate, 41 refused for a participation rate of 74%. Results of the SF-36 showed lowest perceived well-being in the vitality and physical role dimensions. Depressive symptomatology was high, with a mean BDI score of 15 (standard deviation 8.6). Using a BDI score of 14 as the cutoff point, over half of the sample was categorized as having significant depressive symptoms. Significantly lower functional status was seen for depressed subjects in all subscales of the SF-36 compared with nondepressed subjects. Although functional status was negatively correlated with BDI score in all dimensions (r = .23–.69), correlation of SF-36 scores with social support was much weaker (r = .06–.24). Conclusion: Elevated levels of depressive symptomatology are strongly correlated with lowered health-related functioning and perceived well-being. Social support is not associated with increased physical or emotional well-being but is weakly associated with mental health as measured by the SF-36.

The present article presents a comprehensive review and analysis of quantitative research conducted in the United States on chaplaincy and closely related topics published between 2000 and 2009. A combined search strategy identified 49 quantitative studies in 13 journals. The analysis focuses on the methodological sophistication of the studies, compared to earlier research on chaplaincy and pastoral care. Cross-sectional surveys of convenience samples still dominate the field, but sample sizes have increased somewhat over the past three decades. Reporting of the validity and reliability of measures continues to be low, although reporting of response rates has improved. Improvements in the use of inferential statistics and statistical controls were also observed, compared to previous research. The authors conclude that more experimental research is needed on chaplaincy, along with an increased use of hypothesis testing, regardless of the research designs that are used.

The current article reviews the research conducted in the United States on the clinical practice of chaplains with patients and family members, referrals to chaplains, patient satisfaction with chaplaincy services, and the limited literature on the efficacy of chaplain interventions. It also discusses the methodological limitations of studies conducted on these topics and makes suggestions for improving future chaplaincy research. The authors conclude that past studies have not adequately defined chaplain interventions, nor sufficiently documented the clinical practice of chaplains, and that more and better designed studies are needed to test the efficacy of chaplaincy interventions. The authors recommend that chaplains generate research-based definitions of spirituality, spiritual care, and chaplaincy practice; and that more research be conducted to describe the unique contributions of chaplains to spiritual care, identify best chaplaincy practices to optimize patient and family health outcomes, and test the efficacy of chaplaincy care.

Religious professionals completed an online survey of their use of health related practices currently known as complementary and alternative medicine (CAM). They indicated how often they engaged in these practices and how often they had used these practices when helping other people. The majority of religious professionals used at least one of the practices when alone and when helping other people. The most frequently used practices were meditation and deep breathing exercises used both when alone and when helping others. Female respondents were more likely to use these practices on their own and when helping others than were males, and older respondents were more likely to use multiple CAM practices than their younger counterparts. Other Faith/Humanists used the most CAM practices when alone and Jewish respondents used the fewest. In general, religious professionals used fewer practices when helping others than they used for themselves. Limitations of this study and suggestions for future studies for examining CAM practices among religious professionals are discussed.

Depression, social support, and life events were assessed in a sample of African-American and Hispanic women (N = 148) with uncomplicated pregnancies. Over half (51%) showed elevated depressive symptoms. Overall, women had fewer social supports and more negative life events than found in previous studies. African-Americans had more practical social support and persons in their support networks than Hispanics. Over a third of the sample (37%) had lost an important person in the past year. Depressed women reported more negative events than nondepressed women. Many negative life events and few social supports place minority women at risk for prenatal depression.