scholarly journals Mathematics Graduate Student Instructor Observation Protocol (GSIOP): Development and Validation Study

2019 ◽  
Vol 6 (2) ◽  
pp. 186-212
Author(s):  
Kimberly Cervello Rogers ◽  
Robert Petrulis ◽  
Sean P. Yee ◽  
Jessica Deshler
Keyword(s):  
Factor Analysis ◽  
Student Engagement ◽  
Exploratory Factor Analysis ◽  
Graduate Student ◽  
Internal Consistency ◽  
Interrater Reliability ◽  
Scree Plot ◽  
Observation Protocol ◽  
Development And Validation ◽  
Student Instructor

AbstractThis paper presents the development and validation of the 17-item mathematics Graduate Student Instructor Observation Protocol (GSIOP) at two universities. The development of this instrument attended to some unique needs of novice undergraduate mathematics instructors while building on an existing instrument that focused on classroom interactions particularly relevant for students’ development of conceptual understanding, called the Mathematical Classroom Observation Protocol for Practices (MCOP2). Instrument validation involved content input from mathematics education researchers and upper-level mathematics graduate student instructors at two universities, internal consistency analysis, interrater reliability analysis, and structure analyses via scree plot analysis and exploratory factor analysis. A Cronbach-Alpha level of 0.868 illustrated a viable level for internal consistency. Crosstabulation and correlations illustrate high level of interrater reliability for all but one item, and high levels across all subsections. Collaborating a scree plot with the exploratory factor analysis illustrated three critical groupings aligning with the factors from the MCOP2 (student engagement and teacher facilitation) while adding a third factor, lesson design practices. Taken collectively, these results indicate that the GSIOP measures the degree to which instructors’ and students’ actions in undergraduate mathematics classrooms align with practices recommended by the Mathematical Association of America (MAA) using a three-factor structure of teacher facilitation, student engagement, and design practices.

Development and Validation of Quality of Mother and Daughter-in-Law’s Relationship Scale

2021 ◽  
Author(s):  
Zabihollah Abbaspour
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Confirmatory Factor ◽  
Mother And Daughter ◽  
Social Intimacy ◽  
Development And Validation

Aim: Conflict of mothers and daughters-in-law is a common issue, especially in Asian countries characterized by a collectivistic culture and a patrilineal society. The main purpose of this research was the development and validation of quality of mother and daughter-in-law’s relationship scale, including construct validity, convergent validity and internal consistency. Methods: This was a correlational research. The research's statistical population included all students' mothers in city of Ahvaz. Two samples were used in this study. In the first sample, 411 subjects were selected for exploratory factor analysis; and in the second stage, a random sample of 211 subjects were selected as a multi-stage cluster sampling for confirmatory factor analysis. Subjects completed the Quality of Mother-in-Law and Daughter-in-law Relationship Scale (QMDRS) and Miller Social Intimacy Scale (MSIS). Results: The results of the exploratory factor analysis showed that this scale consists of four factors, including kindness and empathy, control, communication, and interference. The confirmatory factor analysis results confirmed the four-factor structure of this scale. Convergent validity of QMDRS is calculated by correlating it with the Miller Social Intimacy Scale. The correlation coefficient of mean in subjects in QMDRS was significant (0.20 to 0.46). According to Cronbach's alpha, the internal consistency of the QMDRS and four factors kindness and empathy, control, communication, and interference was 0.68, 0.62, 0.72, 0.78, and 0.90. Conclusion: According to the results the Quality of Mother and Daughter-in-law’s Relationship Scale (QMDRS) has sufficient validity and reliability in Iranian families.

Development and Validation of an Indicator of Support for Community-Residing Older Canadians

2001 ◽  
Vol 13 (S1) ◽  
pp. 125-135 ◽  
Author(s):  
Betsy Kristjansson ◽  
Krista Breithaupt ◽  
Ian McDowell
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Instrumental Support ◽  
Theory Analysis ◽  
Item Response Theory Analysis ◽  
Community Residents ◽  
Two Phases ◽  
And Gender ◽  
Development And Validation

Lack of social support is an important risk factor for disability, psychiatric illness, cognitive impairment, institutionalization, and mortality. Social networks are also important for the caregiving and emotional support that elderly people need to allow them to function well in the community. This article details the development and validation of an index of the instrumental support available to older community residents in the Canadian Study of Health and Aging (CSHA). Preliminary item review, internal consistency, and exploratory factor analysis were carried out on a random half of the sample. The second half of the sample was used for cross validation; internal consistency, exploratory factor analysis, and item response theory analysis were carried out. The final scale had six items; alpha internal consistency was 0.76 and IRT reliability was 0.85. A one-factor solution was most easily interpretable. IRT analyses showed that the scale was homogeneous and that most items were highly discriminating. The instrumental support scale also had a high correlation with size of social network; it was related to marital status and gender, and predicted institutionalization between the two phases of the study.

scholarly journals DEVELOPMENT AND VALIDATION OF AN INSTRUMENT TO MEASURE THE IMPLEMENTATION OF ‘PROGRAM GURU PENYAYANG’

2019 ◽  
pp. 237-247
Author(s):  
Nor Hasnida Che Md Ghazali ◽  
Syaza Hazwani Zaini ◽  
Norfishah Mat Rabi ◽  
Hasniza Othman
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Internal Consistency Reliability ◽  
Validity And Reliability ◽  
Primary School Teachers ◽  
Cronbach Alpha ◽  
Confirmatory Factor ◽  
Reliable Instrument ◽  
Development And Validation

A valid and reliable instrument is needed to assess the implementation of a program known as ‘Program Guru Penyayang’ in schools. The purpose of this study is to develop the instrument and validate it. The instrument is in the form of a questionnaire distributed to a sample of 230 primary school teachers teaching Orang Asli students. The content validity is assessed by the experts and the construct validity is measured by Exploratory Factor Analysis. The reliability of the instrument is measured using internal consistency reliability, which is an alpha coefficient reliability of Cronbach Alpha. Results of Exploratory Factor Analysis suggested that 23 items need to be removed due to their non-dimensionality as they have more or less equal loadings on several factors. Thus, the final draft of the instrument contains 46 items which are valid and reliable. It yielded high values of internal consistency as reflected by the Cronbach alpha values. Even though the validity and reliability of the instrument are within the acceptable range, more data need to be gathered using bigger sample size, and further analysis using confirmatory factor analysis could be used to explore deeper into the psychometric characteristics of the items before the instrument can be finalized.

Understanding Perception of Weight Stigma: Development and Validation of Perceived Weight Stigmatization Scale

2020 ◽  
Vol 34 (4) ◽  
pp. 869-897
Author(s):  
Atiqa Rafeh ◽  
Rubina Hanif
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Weight Stigma ◽  
Principal Component Factor Analysis ◽  
Confirmatory Factor ◽  
Perceived Weight ◽  
Weight Stigmatization

The present study was intended to develop a scale to measure perceived weight stigmatization among people with obesity. The study was conducted in five steps. In first step, three focus group discussions were conducted with female obese university students to get the first-hand information related to weight stigmatization. Step two involved four interviews which were conducted with male obese university students to collect detailed information about weight stigmatization experiences of men. Step three included content analysis of qualitative data for item generation. In step four, judge’s opinion was taken, and a committee approach was carried out to select the items for the initial form of the scale. Items for final form of the scale were selected through exploratory factor analysis and confirmatory factor analysis in step five. For exploratory factor analysis, 150 university students (men = 61, women = 89) were included in the sample, whereas, for confirmatory factor analysis, another group of students (men = 78, women = 72) participated in the study. Principal Component Factor Analysis revealed three meaningful structures including Self-Perception, Perceived Social Rejection, and Perceived Impact containing 43 items. Confirmatory factor analysis confirmed this factor structure and all 43 items possessed factor loadings greater than .40. Moreover, results indicated that perceived weight stigmatization had high internal consistency (Cronbach’s alpha = .96) with three subscales having internal consistency .95, .83, and .92 respectively. Therefore, Perceived Weight Stigmatization Scale turned out to be a reliable and valid instrument for measuring perception of weight stigma in adults with obesity.

Development and Validation of the Ableist Microaggression Impact Questionnaire

2021 ◽  
pp. 003435522110142
Author(s):  
Deniz Aydemir-Döke ◽  
James T. Herbert
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Internal Consistency Reliability ◽  
Mechanical Turk ◽  
Rehabilitation Counselor ◽  
Research And Practice ◽  
Amazon's Mechanical Turk ◽  
Development And Validation ◽  
Three Factor

Microaggressions are daily insults to minority individuals such as people with disabilities (PWD) that communicate messages of exclusion, inferiority, and abnormality. In this study, we developed a new scale, the Ableist Microaggressions Impact Questionnaire (AMIQ), which assesses ableist microaggression experiences of PWD. Data from 245 PWD were collected using Amazon’s Mechanical Turk (MTurk) platform. An exploratory factor analysis of the 25-item AMIQ revealed a three-factor structure with internal consistency reliability ranging between .87 and .92. As a more economical and psychometrically sound instrument assessing microaggression impact as it pertains to disability, the AMIQ offers promise for rehabilitation counselor research and practice.

scholarly journals The development of a contextually appropriate measure of psychological distress in Sierra Leone

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Rebecca Horn ◽  
Kanykey Jailobaeva ◽  
Stella Arakelyan ◽  
Alastair Ager
Keyword(s):  
Mental Health ◽  
Factor Analysis ◽  
Psychological Distress ◽  
Sierra Leone ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Phase 1 ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Distress Scale

Abstract Background Studies of psychological distress in Sierra Leone have typically used measures which were developed for use in other contexts, and which often have not been adapted or validated for use in Sierra Leone. This has resulted in a lack of reliable information about the patterns of psychological distress within the population, which is a barrier to the development of effective and appropriate mental health services. The aim of the study was to develop a locally-appropriate measure of psychological distress for Sierra Leone. Methods The new measure consists of two instruments: the Sierra Leone Psychological Distress Scale (SLPDS) and a gendered measure of ability to carry out daily tasks—a Function scale—as an indication of the severity of distress. A three-phase mixed methods exploratory sequential study was conducted. Phase 1 was item generation and testing, leading to the development of a set of potential items for both instruments. Phase 2 was a small pilot study (N = 202) leading to the selection of the final set of items for both measures. Phase 3 was a validation phase where the SLPDS and the Function scale were administered with a larger sample of 904 respondents. Item analysis was used to assess the internal consistency of the scales, and Exploratory Factor Analysis to explore the properties of the SLPDS. Results Exploratory factor analysis using the principal axis factoring with an oblique rotation identified a three-factor structure for the 18-item SLPDS. Internal consistency for the SLPDS (Cronbach’s alpha = 0.89) and three subscales was good (Cronbach’s alpha > 0.73). The internal reliability of the male and female versions of the Function scale was also found to be acceptable (Cronbach’s alpha = 0.90 for the female scale and 0.79 for the male scale). Conclusions Together the SLPD and Function scales provide a locally-validated tool which will enable government bodies and local and international non-governmental organisations in Sierra Leone to assess mental health and psychosocial needs. This will support both effective service provision and the evaluation of initiatives designed to improve mental health and psychosocial wellbeing.

A-196 The Texas Postconcussion Symptom Inventory (TPSI): An Exploratory Factor Analysis and Reliability Analysis

2021 ◽  
Vol 36 (6) ◽  
pp. 1251-1251
Author(s):  
Anthony J Longoria ◽  
Ben K Mokhtari ◽  
Tawny Meredith-Duliba ◽  
Mary A Hershberger ◽  
Patricia Champagne ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Clinical Sample ◽  
Somatic Symptoms ◽  
Self Report ◽  
Future Research ◽  
Symptom Inventory ◽  
Multidimensional Measure ◽  
Three Factor

Abstract Objective Self-report scales are commonly used to evaluate non-specific symptoms following concussion. While several scales have been developed, few were created using a systematic process and most contain several ambiguous items that may be misinterpreted. To address this, a new theoretically-based, multidimensional measure was designed to assess Cognitive, Neuropsychiatric, and Somatic symptoms associated with concussion. This study used sophisticated psychometric techniques to develop the Texas Postconcussion Symptom Inventory (TPSI) and establish initial reliability and validity. Method Because concussion symptoms are non-specific, a pool of 76 potential items was developed and administered to a diverse clinical sample (N = 350) that included patients with concussion, epilepsy, and dementia. Polychoric correlations were utilized to remove items based on poor fit/multicollinearity and an exploratory factor analysis (EFA) with an Oblimin rotation was used to determine factor structure. Results A three-factor model best fit the data, and represented Cognitive, Neuropsychiatric, and Somatic domains as designed. Ten items were discarded, resulting in a total of 66 items. The model explained 48.5% of the total variance and contained adequate sampling (Kaiser-Meyer-Olkin measure =0.92) and sufficient item correlations (Bartlett’s Test of Sphericity, p < 0.05) for EFA. All three factor structures displayed high internal consistency (Cronbach’s α > 0.88). Conclusions The TPSI is a brief, multidimensional measure with evidence of strong internal consistency and reliability as well as distinct Cognitive, Neuropsychiatric, and Somatic symptoms associated with concussion. Future research will investigate its convergent and divergent validity in concussion as compared to existing popular symptom measures.

scholarly journals Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire

2019 ◽  
Vol 30 (2) ◽  
pp. 1033-1040 ◽  
Author(s):  
Yfke P. Ongena ◽  
Marieke Haan ◽  
Derya Yakar ◽  
Thomas C. Kwee
Keyword(s):  
Artificial Intelligence ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Latent Variables ◽  
Procedural Knowledge ◽  
Patient Questionnaire ◽  
Successful Implementation ◽  
Personal Interaction ◽  
Five Factors

Abstract Objectives The patients’ view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of AI in radiology. Methods Six domains derived from a previous qualitative study were used to develop a questionnaire, and cognitive interviews were used as pretest method. One hundred fifty-five patients scheduled for CT, MRI, and/or conventional radiography filled out the questionnaire. To find underlying latent variables, we used exploratory factor analysis with principal axis factoring and oblique promax rotation. Internal consistency of the factors was measured with Cronbach’s alpha and composite reliability. Results The exploratory factor analysis revealed five factors on AI in radiology: (1) distrust and accountability (overall, patients were moderately negative on this subject), (2) procedural knowledge (patients generally indicated the need for their active engagement), (3) personal interaction (overall, patients preferred personal interaction), (4) efficiency (overall, patients were ambiguous on this subject), and (5) being informed (overall, scores on these items were not outspoken within this factor). Internal consistency was good for three factors (1, 2, and 3), and acceptable for two (4 and 5). Conclusions This study yielded a viable questionnaire to measure acceptance among patients of the implementation of AI in radiology. Additional data collection with confirmatory factor analysis may provide further refinement of the scale. Key Points • Although AI systems are increasingly developed, not much is known about patients’ views on AI in radiology. • Since it is important that newly developed questionnaires are adequately tested and validated, we did so for a questionnaire measuring patients’ views on AI in radiology, revealing five factors. • Successful implementation of AI in radiology requires assessment of social factors such as subjective norms towards the technology.

Development of Survey Instrument

2008 ◽  
pp. 117-134
Author(s):  
Yogesk K. Dwivedi
Keyword(s):  
Factor Analysis ◽  
Data Collection ◽  
Response Bias ◽  
Internal Consistency ◽  
Nationwide Survey ◽  
Survey Instrument ◽  
Reliability Test ◽  
Data Collection And Analysis ◽  
Development And Validation

The previous chapter (Chapter 4) described the development and validation of a survey instrument for the purpose of data collection in order to examine broadband adoption, usage and impact. Chapter 3 provided a discussion and justification of the data collection and analysis methods. This chapter presents the findings obtained from a nationwide survey that was conducted to examine the adoption, usage and impact of broadband in UK households. The chapter is structured as follows. The next section presents a response rate of the survey and descriptions of how the non-response bias test was conducted. This is followed by a description of the reliability test conducted to assess the internal consistency of the survey instrument. The findings relating to the factor analysis are then presented. Following this, an overall discussion of the instrument is presented. Finally, a summary of the chapter is provided.

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