Dataset Information

Development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS).

ABSTRACT:

Background

Streetscape (microscale) features of the built environment can influence people's perceptions of their neighborhoods' suitability for physical activity. Many microscale audit tools have been developed, but few have published systematic scoring methods. We present the development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS) tool and its theoretically-based subscales.

Methods

MAPS was based on prior instruments and was developed to assess details of streetscapes considered relevant for physical activity. MAPS sections (route, segments, crossings, and cul-de-sacs) were scored by two independent raters for reliability analyses. There were 290 route pairs, 516 segment pairs, 319 crossing pairs, and 53 cul-de-sac pairs in the reliability sample. Individual inter-rater item reliability analyses were computed using Kappa, intra-class correlation coefficient (ICC), and percent agreement. A conceptual framework for subscale creation was developed using theory, expert consensus, and policy relevance. Items were grouped into subscales, and subscales were analyzed for inter-rater reliability at tiered levels of aggregation.

Results

There were 160 items included in the subscales (out of 201 items total). Of those included in the subscales, 80 items (50.0%) had good/excellent reliability, 41 items (25.6%) had moderate reliability, and 18 items (11.3%) had low reliability, with limited variability in the remaining 21 items (13.1%). Seventeen of the 20 route section subscales, valence (positive/negative) scores, and overall scores (85.0%) demonstrated good/excellent reliability and 3 demonstrated moderate reliability. Of the 16 segment subscales, valence scores, and overall scores, 12 (75.0%) demonstrated good/excellent reliability, three demonstrated moderate reliability, and one demonstrated poor reliability. Of the 8 crossing subscales, valence scores, and overall scores, 6 (75.0%) demonstrated good/excellent reliability, and 2 demonstrated moderate reliability. The cul-de-sac subscale demonstrated good/excellent reliability.

Conclusions

MAPS items and subscales predominantly demonstrated moderate to excellent reliability. The subscales and scoring system represent a theoretically based framework for using these complex microscale data and may be applicable to other similar instruments.

SUBMITTER: Millstein RA

PROVIDER: S-EPMC3728214 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Publications

Development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS).

Millstein Rachel A RA Cain Kelli L KL Sallis James F JF Conway Terry L TL Geremia Carrie C Frank Lawrence D LD Chapman Jim J Van Dyck Delfien D Dipzinski Lindsay R LR Kerr Jacqueline J Glanz Karen K Saelens Brian E BE

BMC public health 20130427

<h4>Background</h4>Streetscape (microscale) features of the built environment can influence people's perceptions of their neighborhoods' suitability for physical activity. Many microscale audit tools have been developed, but few have published systematic scoring methods. We present the development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS) tool and its theoretically-based subscales.<h4>Methods</h4>MAPS was based on prior instruments and was developed to a ...[more]

PMID: 23621947

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Project description:ObjectivesSchools are an important setting to enable and promote physical activity. Researchers have created a variety of tools to perform objective environmental assessments (or 'audits') of other settings, such as neighborhoods and parks; yet, methods to assess the school physical activity environment are less common. The purpose of this study is to describe the approach used to objectively measure the school physical activity environment across 12 countries representing all inhabited continents, and to report on the reliability and feasibility of this methodology across these diverse settings.MethodsThe International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) school audit tool (ISAT) data collection required an in-depth training (including field practice and certification) and was facilitated by various supporting materials. Certified data collectors used the ISAT to assess the environment of all schools enrolled in ISCOLE. Sites completed a reliability audit (simultaneous audits by two independent, certified data collectors) for a minimum of two schools or at least 5% of their school sample. Item-level agreement between data collectors was assessed with both the kappa statistic and percent agreement. Inter-rater reliability of school summary scores was measured using the intraclass correlation coefficient.ResultsAcross the 12 sites, 256 schools participated in ISCOLE. Reliability audits were conducted at 53 schools (20.7% of the sample). For the assessed environmental features, inter-rater reliability (kappa) ranged from 0.37 to 0.96; 18 items (42%) were assessed with almost perfect reliability (κ=0.80-0.96), and a further 24 items (56%) were assessed with substantial reliability (κ=0.61-0.79). Likewise, scores that summarized a school's support for physical activity were highly reliable, with the exception of scores assessing aesthetics and perceived suitability of the school grounds for sport, informal games and general play.ConclusionsThis study suggests that the ISAT can be used to conduct reliable objective audits of the school physical activity environment across diverse, international school settings.

Project description:BACKGROUND:Creating a case formulation is an important and basic skill in psychotherapy meant to guide treatment. A patient's interpersonal pattern is an essential part of a case formulation. Core Conflictual Relationship Theme (CCRT) is a well-known structured method to describe interpersonal patterns. The CCRT method is based on the assumption that humans display a central relationship theme, which is shown in most relationships as well as in the patient-therapist relation. The CCRT scoring is based on how the patient describes interactions with others, in therapy sessions or in a specific interview. These descriptions are transcribed. Raters then score the identified relational episodes by choosing elements from the clustered categories of Wishes, Response from Others and Response from Self. The method has shown high validity and reliability. Inter rater reliability is generally good: Cohen's kappa ranging from 0.55 to 0.70. To decide CCRT pattern from transcribed material is time consuming and labour intensive This study investigates a labour- and timesaving version of the method. METHODS:This study aimed to investigate rater agreement in a simplified method of scoring the CCRT, based directly on live semi-structured dynamic interviews without transcribing the material. Fifty-two patients referred for psychotherapy in a clinical trial, were scored for CCRT pattern. Based on information that came forth during the two-hour interview, raters scored the patients choosing elements from the clustered categories of Wishes, Response from Others and Response from Self. More than one category in each component could be chosen without ranking. Five raters compared two by two were investigated. Inter rater reliability was measured by Cohen's kappa. RESULTS:Mean kappa for Wishes, Response from Others and Response from Self was .33, .41 and .45 respectively. Mean kappa for CCRT in total was .41 among 5 raters. CONCLUSION:In this simplified method to score the CCRT based on oral dynamic interviews, fair to moderate IRR was obtained. TRIAL REGISTRATION:First Experimental Study of Transference-interpretations (FEST307/95). Registration number: ClinicalTrials.gov Identifier: NCT00423462.

Dataset Information

Development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS).

Background

Methods

Results

Conclusions

Publications

Development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS).

Similar Datasets

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