Factorial invariance of the theory of planned behavior applied to physical activity across gender, age, and ethnic groups (original) (raw)

Development and Validation of the Theory of Planned Behavior Questionnaire in Physical Activity

The Spanish journal of psychology, 2012

The Theory of Planned Behavior (TPB) is one of the main theoretical models in the study of the different variables, which influence in the practise of physical activity. The aim in this study was to develop a questionnaire based on TPB in physical activity context providing evidence for the validity of the obtained measures. The instrumental project included three independent studies. The first study entailed the construction and qualitative assessment of the items. In the second study, the analysis of factorial structure was performed by means of exploratory measures, and it showed that the reliability of measures was adequate. The third study provided evidence on the dimensionality of the scale. The confirmatory factorial analysis guaranteed the stability of factorial structure proposed by the TPB and provided evidence for the internal validity of the inventory. Moreover, this study provided evidence of its external validity.

Cross-Cultural Generalizability of the Theory of Planned Behavior Among Young People in a Physical Activity Context

2007

The present study tested the cross-cultural generalizability of the measurement and structural parameters of the theory of planned behavior (TPB) among youth in a physical activity context. Pupils from five cultural groups completed measures of attitudes, subjective norms, perceived behavioral control (PBC), and intentions for physical activity. Five weeks later, participants completed self-report measures of physical activity behavior. Confirmatory factor analyses and multisample structural equation models revealed well-fitting models within each sample with minimal variations in the measurement parameters across cultures. There were a few significant cross-cultural differences in the structural relations among the TPB constructs. Attitudes predicted intentions in all samples (β range = .300 to .550), whereas the effect of the subjective norms on intention was nonsignificant in all but the Hungarian sample (β = .243). Conversely, the effect of PBC on intentions was significant (β range = .302 to .573) in all but the Hungarian sample. Findings support the generalizability of the measures and pattern of effects for the TPB among young people in a physical activity context. The benefits of regular vigorous physical activity to the health of young people has received strong empirical support from research in a number of industrialized exercise psychology

Theory of Planned Behavior and physical exercise: Differences between people who do regular physical exercise and those who do not

Objectives: The purpose of this study was analysed differences between attitudes, subjective norms, and PBC between groups of individuals who do physical exercise and those who do not. Method: In order to investigate the different effects of attitudes, subjective norms, PBC on intention in both groups a structural equation modelling was employed. 886 subjects completed a questionnaire measuring the components of TPB model. The first group was formed by 332 people who did not practise and the second group was formed by 554 people who practised physical exercise. Results: Results confirmed differences between two groups of people in the prediction capacity of TPB model. In the first group, all variables explained 65% of the variance in intention. In the second group subjective norm and perceived behavioural control had a significant impact on intention and the three variables explained 67% of its variance. t Conclusions: Findings supported the important role of TPB in the context of p...

Applying the Theory of Planned Behavior … Health Education and Health Promotion (HEHP

2014

Aim: Insufficient physical activity in women exposes them to problems such as overweight, diabetes, depression and cardiovascular diseases on top. In between, employees have minimum physical activity due to type of their job. The goal of this study was determining psychological factors effective on the physical activity of women working in University of Tehran based on the theory of planned behavior. Methods: The research population included female office workers from the University of Tehran, who were selected through a call at this university in 2014 for this descriptive analytical cross-sectional study. For data gathering, a questionnaire was used with acceptable validity and reliability including demographic information and constructs of the Theory of Planned Behavior (TPB) as well as International Physical Activity Questionnaire (IPAQ). Data were analyzed using SPSS21. The statistical bivariate correlation test and stepwise regression test were employed at the significance leve...

Factors Affecting Physical Activity Behavior Among Women in Kerman Based on the Theory of Planned Behavior (TPB)

Iranian Red Crescent Medical Journal

Background: Theory of planned behavior (TPB) has not been adequately addressed in the field of physical activity among Iranian women. Objectives: This study aimed to determine factors affecting physical activity behavior among women based on the theory of planned behavior. Methods: This cross-sectional study was conducted on 398 women in Kerman, Iran. The women were selected through the multistage random sampling method. Data were collected using the international physical activity questionnaire (IPAQ) and a researchermade questionnaire based on the constructs of the theory of planned behavior and analyzed using structural equation modeling (SEM). Results: The mean age (SD) of participants was 36.9 (9.9). Perceived behavioral control (β = 0. 16, P = 0. 013) and behavioral intention (β = 0.16, P = 0.005) had a significant positive direct effect on physical activity behavior. Moreover, instrumental attitude (β = 0.04, P = 0.003), subjective norms (β = 0.04, P = 0.003) and perceived behavioral control (β = 0.03, P = 0.002) had a significant positive indirect effect on physical activity behavior. Behavioral intention and perceived behavioral control constructs predicted 6% of variance of physical activity behavior. Conclusions: Given that the constructs of behavioral intention and perceived behavioral control could predict physical activity behavior, health promotion interventions should be designed with an emphasis on these factors in order to promote physical activity in women.

Predictors of Women's Exercise Behavior Based on Developed Theory of Planned Behavior with Action and Coping Planning

Aim: Level of physical activity as key determinant of healthy lifestyle is less than what is required in individuals particularly women. Applying theories of behavioral change about complex behaviors such as physical activity leads to identify effective factors and their relations. The aim of this study was to determine predictors of exercise behavior based on developed Theory of Planned Behavior with planning constructs in military personnel's wives. Methods: We performed this cross-sectional study on 150 military personnel's spouses residing in organizational houses, in Tehran, Iran in 2013. The participants were randomly selected with multi-stage cluster sampling. The validity and reliability of developed scale were evaluated before conducting the path analysis. Data were analyzed using SPSS.16 and LISREL8.8. Finding: The developed model predicted 48, 11, 12 and 35 percent of the variance in intention, action planning, coping planning and behavior, respectively. Subjective norms (Beta=0.35, p<0.01) and perceived behavioral control (Beta=0.28, p<0.01) were the predictors of intention. Determinants of behavior included action planning (Beta=0.40, p<0.01), coping planning (Beta=0.39, p<0.01), intention (Beta=0.23, p<0.01) and subjective norms (Beta=0.08, p<0.01). Instrumental and affective attitude had no significant path coefficient to dependent variables. The path of perceived behavioral control to behavior was non-significant. The developed theory fitted to data better than the original theory. Conclusion: This research demonstrated relative weights and relationships of Theory of Planned Behavior constructs with action and coping planning in physical activity behavior of military staffs' spouses. It is essential to consider these effective factors in designing of health education programs.

Predicting Physical Activity Among Children: Investigating Interaction Effects in the Theory of Planned Behavior

Research Quarterly for Exercise and Sport, 2018

Purpose: The theory of planned behavior (TPB) has been criticized for not including interactions between the variables assumed to predict behavior. This study sought to test how TPB variables interact to predict physical activity (PA) in children. Method: Four hundred thirty-eight children (M age = 8.6 years, SD = 1.6 years) completed a TPB questionnaire and a PA questionnaire at Time 1. The PA measure was repeated 2 months later. Path analyses were performed to test the hypothesized model including interaction terms between TPB variables. Simple slopes analyses were also carried out to examine the statistically significant interaction terms. Results: Path analyses confirmed the classical hypotheses of TPB (R 2 for intentions = .39, R 2 for PA = .12) and also demonstrated only statistically significant Attitudes × Perceived Behavioral Control and Subjective Norms × Attitudes interactions (R 2 change for intentions = .01, p = .009). Simple slopes analyses revealed that the strength of the association between perceived behavioral control and intentions was only statistically significantly higher (t = 2.18, p = .05, d = 0.34, 95% CI [0.03, 0.65]) when attitudes were high compared with when attitudes were low. The link between attitudes and intentions was only statistically significant at a low level of subjective norms but not at a high level. Conclusion: The integration of interaction effects between TPB variables did not increase for the variance of PA explained by the model. More research appears to be necessary to explore how the TPB could be augmented to better predict PA in children.

Applying An Extended Version of the Theory of Planned Behaviour to Physical Activity

Journal of sports sciences, 2003

This prospective study explored whether extending the Theory of Planned Behaviour (TPB) with additional variables (descriptive norm, moral norm, anticipated affective reaction, self-identity and past behaviour) would account for additional variance in physical activity intentions and behaviour. Four interactions with past behaviour were also investigated. UK college employees participated in this study (n = 200, Time 1; n = 146, Time 2). Moral norm, self-identity and past behaviour each explained additional variance in intentions, over and above the TPB variables. Past behaviour moderated the impact of descriptive norm on intentions. Intentions, self-identity and past behaviour were significant predictors of behaviour, as measured by a self-report physical activity questionnaire. To increase physical activity, interventions might target moral norm and selfidentity for physical activity. Focusing on positive descriptive norms might benefit sedentary individuals. The significant role of past behaviour is less useful in directing interventions.

Determinants of Physical Activity Based on the Theory of Planned Behavior in Iranian Military Staff's Wives: A Path Analysis

Level of physical activity as a key determinant of healthy lifestyle less than is required in individuals particularly women. Applying theories of behavioral change about complex behaviors such as physical activity leads to identify effective factors and their relations. The aim of this study was to determine predictors of physical activity behavior based on the Theory of Planned Behavior in military staff's wives in Tehran. This cross-sectional study was performed in 180 military personnel's spouses residing in organizational houses, in Tehran, Iran in 2014. The participants were randomly selected with multi-stage cluster sampling. The validity and reliability of the theory based scale evaluated before conducting the path analysis. Statistical analysis was carried out using SPSS16 and LISREL8.8. The results indicated the model explained 77% and 17% of intention and behavior variance. Subjective norms (Beta=0.83) and intention (Beta=0.37) were the strongest predictors of intention and behavior, respectively. The instrumental and affective attitude had no significant path to intention and behavior. The direct relation of perceived behavioral control to behavior was non-significant. This research demonstrated relative importance and relationships of Theory of Planned Behavior constructs in physical activity behavior of military personnel's spouses in Tehran. It is essential to consider these determinants in designing of educational interventions for promoting and maintaining physical activity behavior in this target group.

EXERCISE PRESCRIPTION: A STRUCTURAL EQUATION ANALYSIS OF THE THEORY OF PLANNED BEHAVIOR AMONG KENYAN HEALTHCARE PROFESSIONALS

European Journal of Physical Education and Sport Science, 2019

Objective: To describe the physical activity prescribing behaviour of Kenyan healthcare professionals and determine if the theory of planned behaviour explains this behavior. Design: The study design was a cross-sectional analytical, that utilized quantitative methods. Setting: The study was conducted in Public health facilities in Kakamega County, located in Western Kenya. These facilities were four (4) Sub-County hospitals, two (2) County hospitals and one (1) County referral hospital. Sample: Stratified random sampling was embraced to divide the population into homogeneous subgroups as per the professional cadres then simple random in proportion to their number in the population was done. Formulae that was used for calculating the sample size was Cochran) with an attrition rate of 10%, since the sample size was less than 10,000 people, the sample size was adjusted with the finite population correction for proportions based on the populations of nurses, doctors and clinical officers (n = 221) Analysis: Data was analyzed through Structural Equation Modelling (SEM). Alpha level for all the computations was considered significant at an α <0.05. Main outcome measures: Self-reported PA prescription behaviour, PA involvement, attitude, subjective norm, perceived behavioural control (PBC) and intention related to PA prescription behaviour were assessed. Results: The estimation of this hypothesized structural model yielded an acceptable fit to the data, χ2 =1634.6, df = 770; χ 2 /df ratio =2.123(good), CFI = .962; RMSEA = .061, with 90% C.I. = .044-.073, SRMR = .068. Subjective norms itself was a direct predictor of intention (β = .137, p = .007), attitude was a direct predictor of intention (β = .393, p < .001), perceived control was a direct predictor of intention (β = .207, p = .023) but it was not a significant predictor of exercise