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Biomedical subjects

M T Beard

Publications and source records attributed to M T Beard.

15 recordsLinked to original sources
PubMedDate not supplied

The efficacy of group therapy by nurses for hospitalized patients.

To investigate the effect of group therapy by nurses on chronic psychiatric patients, 100 chronic psychiatric patients between the ages of 30 and 59, hospitalized on two regressed, continued care wards and one community care preparation ward at the Veterans Administration Hospital, Augusta, Georgia, were paired, using the variables of age, diagnosis, and number and duration of hospitalizations, and assigned to five control and five experimental groups (ten patients per group). Experimental subjects attended group therapy sessions, led by two nurses, twice a week; control subjects did not. All subjects were evaluated by two nursing assistants on the NOSIE-30 scale prior to group therapy, after ten sessions, and at the end of 20 sessions. Paired t-tests were computed on pre- and postdata for six factors. Data from an evaluation scale of the most regressed ward indicated leader-patient interaction. Sociogram evaluation revealed 79 percent positive interactions. Topics most frequently mentioned were nature in regard to delusional systems and interpersonal relations in the hospital and home. Findings supported the use of group therapy with chronic regressed psychiatric patients.

Adult↗
PubMedDate not supplied

Research methodology. Part IV: Understanding canonical correlation analysis.

Canonical correlation is presented as a technique to determine how sets of dependent variables are related with sets of independent variables. Canonical correlation reveals the strength of the relationship between the clusters using case data as illustration, three pairs of clusters (factors or profiles) emerged. Interpretation of the clusters are presented. As indicated in the case presentation, Canonical Correlation (CA) is the fourth in a series of methodologies selected for illustration as precursors to advanced statistics and modeling. In this paper, background will be given, a schematic example presented, sample size and CA, SPSS procedure to perform CA, and interpretation of CA and possible uses of CA in nursing research.

Analysis of Variance↗
PubMedDate not supplied

Advances in meta-analysis as a research method.

Meta-analysis is a method of data analysis applied to summarizing research findings, both quantitative and qualitative summaries of individual studies. Rooted in the fundamental values of the scientific enterprise of replicability, causal and correlational analysis, it is useful for answering three general questions: What is the central tendency or typical study outcome? How much variability exists among study outcomes? What is the explanation of the variability? Advanced statistical and mathematical techniques are being used in counting studies with significant and non-significant findings; in combining effect size estimates based on fixed- or random-effects models; in the use of general linear models; and, Bayesian procedures. The methodology of meta-analysis and suggestions for publications are presented as well as appropriate software programs available for use in the meta-analytic process are explored. The benefits of meta-analysis as a research method in effecting health policy development is offered as a pragmatic perspective for future consideration. Conclusions have implications for the use of meta-analysis as a teaching strategy and as a methodology in nursing research and other applied sciences. In view of the rapid pace of knowledge development and increased public demand for accountability, meta-analysis offers an opportunity for organizing phenomena which gives direction for provision of quality health care.

Humans↗