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The overall aim was to investigate bachelor nursing students’ experiences with simulation as a learning approach conducted under various conditions. Additionally, the aim was to translate and validate questionnaires for the evaluation of simulation in a Norwegian context. Methods: Quantitative and qualitative methods were used. Nursing students responded to three questionnaires after attending either low- or high-fidelity simulation. Data were analyzed with statistics (I). Two evaluation questionnaires were subjected to a principal components analysis (II, III). Data were obtained from nursing students through focus group interviews, and analyzed with a qualitative content analysis (IV). Main findings: Independent of the fidelity level in the simulation and educational level, the students reported satisfaction and that the emphasized features in learning were present. Those who had used a paper/pencil case study were the most satisfied (I). Debriefing was reported to be crucial for learning, but in particular by attending the large groups, also as a stressful and intrusive situation (IV).The Norwegian version of the questionnaire, the Student Satisfaction and Self-Confidence Scale, revealed no stable factor solution (II). The translated version of the Debriefing Experience Scale was shown to hold a good potential for evaluating debriefing, but benefited from reducing the subscales (III). To ensure safety and security were reported to be a prerequisite for learning, with the students requesting a more frequent use of simulation and a higher degree of familiarity with active learning in their program in general (IV). Conclusions: Simulation at all fidelity levels should be used in nursing education. To exploit the potential, the learning approaches should be integrated into the program in general through a systematic and structured building of a learning community. A further validation and testing of the questionnaires in different programs and contexts is needed.

The PEAK Relational Training Program has been recently published and favorable results for reliability and validity measures have been reported (Dixon, 2014). Results of two studies have demonstrated a high correlation with scores on the PEAK assessment scores, IQ scores as well as high reliability in scoring the PEAK assessments (Dixon, Carman, Tyler, Whiting, Enoch, & Daar, In press; Dixon, Whiting, Rowsey, & Belisle, In press). The current study evaluated normative data for Module 1 using 45 children ages 1 through 6 to validate it's utility in measuring the language of typically developing individuals. Normative data was collected and a strong positive correlation was identified between participants' age and PEAK assessment scores (r=.832, p=<.001). Implications support the use of PEAK to teach language and learning and continual investigation of its psychometric properties.

Cross-cultural assessment in South Africa has become more prominent since the first democratic elections held in April 1994, and stronger demands for the cultural appropriateness of psychological tests have arisen. The use of psychometric testing, including personality assessment in the workplace, is now strictly controlled by legislation, among others the Constitution of the Republic of South Africa (Act 108 of 1996), the Labour Relations Act (66 of 1995), and the Employment Equity Act (55 of 1998), and the Health Professions Act (56 of 1974). Much controversy has arisen regarding the relevance and applicability of assessment instruments in South Africa. The majority of assessment procedures still make use of imported instruments that are either used in their original or adapted form. Psychological assessment instruments imported from abroad have an insufficient suitability in the multicultural South African context. There are various perspectives regarding the appropriate measurement of personality across cultures. In this research study implicit perspectives of personality, the lexical approach, indigenous psychology and the emic approach were used to determine the personality perspectives of the Tsonga culture in South Africa. The objectives of this study were to investigate how personality is conceptualised in literature, to identify the problems surrounding personality measurement for the South African context, to explore how personality perspectives could be determined and to investigate the personality descriptive terms in the Tsonga language group. A qualitative research design was used to collect the data of this research. A total of 5 502 personality descriptors were obtained through the 1 0-item interview questionnaires. Content analysis was used to analyse, reduce and interpret the data obtained from the participants. The personality descriptors obtained were reduced by removing superfluous words. These personality descriptors were then interpreted and categorised into a total of 109 personality dimensions. These characteristics were categorised into nine clusters, namely Optimism, Agreeableness, Emotional Stability, Narrow-mindedness, Intelligence, Conscientiousness, Aggressiveness, Dominance and Sociability. The following personality dimensions had the highest frequency: Emotional Stability, Caring, Helpful, Hard working, Advising, Generous, Traditional, Aggression, Recreational, Substance use, Religious, Sociable and Loving. Recommendations for future research were made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Efficient allocation of public resources requires identification, measurement and quantification of costs and benefits of alternative programs. Patient reported outcomes (PROs) are routinely incorporated into economic evaluations of health technologies, but patient experience is often overlooked. This thesis aims to develop a descriptive system for patient experience that can be valued and used to inform economic evaluation. The generation and selection of items is key in the development of any PRO measure. The thesis provides a contemporary overview of recommended methods and those actually used by instrument developers. Frequently a staged approach is used to establish dimensions first, using exploratory factor analysis, followed by item selection using item response theory (IRT), Rasch or structural equation modelling (SEM). I demonstrate the use of different methods for item selection and its underlying mechanics, followed by comparison of the methods. An existing patient dataset, the Inpatient survey (2014) that collected information on nearly 70 aspects of healthcare delivery from NHS users was used. Logistic regression analyses were applied with respondents' rating of overall patient experience specified as dependent variable. Advanced statistical analyses focussed mostly on patients who had an operation or procedure. Latent construct or dimensions were derived and measurement model was confirmed using confirmatory factor analysis. IRT and factor analysis were employed in each one-factor model for item selection. Regression analyses identified many significant variables but most overlapped conceptually. An 11 and 8 factor model for patients with A&E and planned admissions respectively was determined. A generalised partial credit model and a factor analysis model identified different items to include in each dimension. Broadly the items identified by different methods related to respect, comfort and clear communication to patients. This thesis presents descriptive systems for patient experience that is amenable to valuation. It also demonstrates that different patient experience instruments are generated based on patient population used and item selection technique adopted.

Background: The Senate of Canada asserts that quality end-of-life care is the right of every Canadian. Yet, little is known about the quality of end-of-life care for dying children and their families. Purpose: The study purpose was to develop and test an instrument to measure parents’ perspectives on the quality of care provided to families before, at the time of, and following the death of a child. Methods: In study Phase I, key components of quality pediatric end-of-life care were synthesized through a systematic review of research literature then validated and extended through focus groups with bereaved parents. In Phase II, instrument items were developed to assess structures, processes, and outcomes important to quality end-of-life care, then tested for content and face validity by health professionals and bereaved parents. In Phase III, the instrument was administered to bereaved mothers from across Canada and psychometric testing conducted. Results: Instrument items were developed based on review of 67 manuscripts and 3 focus groups with 10 parents. The Content Validity Index for the instrument was 0.84 as assessed by 7 health professionals. The instrument was assessed by 6 bereaved parents for face and content validity as well as their cognitive understanding of the items. In the final phase, 128 mothers completed the instrument and 31 of those completed it twice. Initial evidence for test-retest reliability, internal consistency, and construct validity was demonstrated for 7 subscales: Connect with Families, Involve Parents, Share Information with Parents, Share Information among Health Professionals, Support Parents, Provide Care at Death, and Provide Bereavement Follow-up. Additional items with demonstrated content validity only were grouped into three domains: Support the Child, Support Siblings, and Structures of Care. Implications: This study is a significant step forward in comprehensive measurement of the quality of children’s end-of-life care. The instrument provides a mechanism for feedback to health professionals, health systems, and policy makers to improve care provided to families facing the death of a child.

Background: The Senate of Canada asserts that quality end-of-life care is the right of every Canadian. Yet, little is known about the quality of end-of-life care for dying children and their families. Purpose: The study purpose was to develop and test an instrument to measure parents’ perspectives on the quality of care provided to families before, at the time of, and following the death of a child. Methods: In study Phase I, key components of quality pediatric end-of-life care were synthesized through a systematic review of research literature then validated and extended through focus groups with bereaved parents. In Phase II, instrument items were developed to assess structures, processes, and outcomes important to quality end-of-life care, then tested for content and face validity by health professionals and bereaved parents. In Phase III, the instrument was administered to bereaved mothers from across Canada and psychometric testing conducted. Results: Instrument items were developed based on review of 67 manuscripts and 3 focus groups with 10 parents. The Content Validity Index for the instrument was 0.84 as assessed by 7 health professionals. The instrument was assessed by 6 bereaved parents for face and content validity as well as their cognitive understanding of the items. In the final phase, 128 mothers completed the instrument and 31 of those completed it twice. Initial evidence for test-retest reliability, internal consistency, and construct validity was demonstrated for 7 subscales: Connect with Families, Involve Parents, Share Information with Parents, Share Information among Health Professionals, Support Parents, Provide Care at Death, and Provide Bereavement Follow-up. Additional items with demonstrated content validity only were grouped into three domains: Support the Child, Support Siblings, and Structures of Care. Implications: This study is a significant step forward in comprehensive measurement of the quality of children’s end-of-life care. The instrument provides a mechanism for feedback to health professionals, health systems, and policy makers to improve care provided to families facing the death of a child.

Cross-cultural assessment in South Africa has become more prominent since the first democratic elections held in April 1994, and stronger demands for the cultural appropriateness of psychological tests have arisen. The use of psychometric testing, including personality assessment in the workplace, is now strictly controlled by legislation, among others the Constitution of the Republic of South Africa (Act 108 of 1996), the Labour Relations Act (66 of 1995), and the Employment Equity Act (55 of 1998), and the Health Professions Act (56 of 1974). Much controversy has arisen regarding the relevance and applicability of assessment instruments in South Africa. The majority of assessment procedures still make use of imported instruments that are either used in their original or adapted form. Psychological assessment instruments imported from abroad have an insufficient suitability in the multicultural South African context. There are various perspectives regarding the appropriate measurement of personality across cultures. In this research study implicit perspectives of personality, the lexical approach, indigenous psychology and the emic approach were used to determine the personality perspectives of the Tsonga culture in South Africa. The objectives of this study were to investigate how personality is conceptualised in literature, to identify the problems surrounding personality measurement for the South African context, to explore how personality perspectives could be determined and to investigate the personality descriptive terms in the Tsonga language group. A qualitative research design was used to collect the data of this research. A total of 5 502 personality descriptors were obtained through the 1 0-item interview questionnaires. Content analysis was used to analyse, reduce and interpret the data obtained from the participants. The personality descriptors obtained were reduced by removing superfluous words. These personality descriptors were then interpreted and categorised into a total of 109 personality dimensions. These characteristics were categorised into nine clusters, namely Optimism, Agreeableness, Emotional Stability, Narrow-mindedness, Intelligence, Conscientiousness, Aggressiveness, Dominance and Sociability. The following personality dimensions had the highest frequency: Emotional Stability, Caring, Helpful, Hard working, Advising, Generous, Traditional, Aggression, Recreational, Substance use, Religious, Sociable and Loving. Recommendations for future research were made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

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