Questions related to Choice Behavior
I developed logit models for mode choice behavior using a questionnaire-based dataset. However, a reviewer suggested me to go for mixed logit models. I do understand that mixed logit model solves the limitations of the logit model. However, logit models are easier to estimate (using software packages such as SPSS) and interpret, and I have already developed and explained these models in my paper. So, I want to know if there is a way to determine whether or not developing mixed logit models will be any good.
Nowadays being alone, stay at home, walk alone and ride alone are the best options to protect the transmission of Coronavirus, COVID-19. Even if COVID-19 is a typical situation, there are other situations that can create dangers for mass transit users.
So, what kinds of scenarios, policies, and strategies can accommodate such disasters and how can we regain the trust of Public transport systems in the future?
Any innovative idea is appreciated.
I am asking for some thoughts about the topic which is about Trade offs and the influence of technologies in perspection of health.
To what extent are people willing to forego "fun and enjoyment" (e.g. less alcohol, healthier lifestyle) today in order to live healthier lives in the future.
Does anyone know interesting literature streams such as Intertemporal choice, future self etc. or technologies which bring the future in the present.
I'm an aquatic ecologist making a first foray into behavioral studies. I've conducted a fish behavior study where a fish was placed in the center of a tank divided into 4 quadrants (left side, center left, center right, right side) and placed two different stimuli were placed in the left and right quadrants. I'm recording the time fish spend in various portions of the tank before and after opportunities to learn about the stimuli. One stimuli is presented as being negative or positive while the other remains neutral. I'd like to compare change in time allocated to each compartment of the tank before and after repeated learning opportunities. I know that time allocations are not completely independent (i.e. if the fish wants to move from quadrant left to quadrant right, it must pass through the center quadrants; spending more time in one quadrant inherently requires the fish to spend less time in other quadrants), but I am not sure how to handle these challenges in the analysis. Any suggestions are appreciated.
The best type of bioassays choice and non choice for arthropods for indicate preference for plant varieties of same species. Four varieties and a phytophagous.
Actually i'm doing research on modal shift, so, i'm considering objective as, develop the models to study the mode choice behavior of travelers, to investigate the forecasting performance of mode shift models, to assess the impacts of the different government policies to be incorporated based on the model.
I read papers regarding these, but i ended up in confusion like which logit model i have to apply either multinomial or nested logit model.
Can anyone suggest me which model should i use to satisfy my objectives.
Thanks in advance.
In case of the simple multinomial logit model, alternatives will be listed and their percent of choice is collected in data collection.
My question is there are modes which will be less selected and will have less amount in the count. what percent of mode choice count is viable for modeling cases? and why? is it possible and correct to use those modes which have the minimum count of choice from the data?
Any help is appreciated.
What are the main topics, researched currently in the field of preferences? What are the more relevant open questions? Are the general definition of preferences among them (or equivalent: is there any attempt to create the foundations of the Unified Theory of preferences?).
I am planning to conduct a DCE and I'm also planning to understand if the clinical course of a given health condition can play a role in individual's choices. My idea is in its infancy yet, but would involve conducting two "waves" of data collection in the same population using the same DCE. Specific questions are:
1. Does it make sense to do that?
2. What are the possible pitfalls of that approach?
3. If it is possible, are there any specific details regarding the development of the survey and/or method of analysis that need to be accounted for?
I'd appreciate hearing from you. You can also email me if you prefer: firstname.lastname@example.org
I have a dependent variable (Y) say choices of different modes (car, bus, train, car share), a categorical variable and several independent variables (age: categorized into three different groups 18-25, 26-40 and 40-60 & education level, gender), all categorical variables. Is it possible to form a multinomial logistic regression model to establish relation between the dependent and the independent variables?
I also have perception of safety, security of the respondents (in 1 to 5 scale) about using different modes. What different tests can I conduct?
It seems that many choices are torned between the drive for pleasure and our reasoning.
For example, we may know that taking a plane will produced Co2 and contribute to climate change but we also tend to take plane anyway out of the pleasure we get from it (fast travel or reaching remote places). Similar behaviour can be seen about animal products consumption. A lot of indivduals in the west actually want to cut some of their consumption of animal products but in reality the pleasure individual get from their consumption is frequently taking over.
I would like to know what kind of studies/books are out these about this phenomenon. Thanks in advance for your help!
I am currently conducting a Meta-SEM, with different concepts like satisfaction, trust or loyalty. Among the articles I selected for this meta-analysis, the authors are using different definitions. For example, for the loyalty concept, some authors are using only the behavioral approach, while others are using the attitudinal approach, or even a mixt approach. For my meta-analysis, I then coded the type of definition used (Loy-be, Loy-att and Loy-mix). This way I will be able to run a moderator analysis and see if there are differences amongst the effect sizes, depending on the type of definition used.
First, do you think it is a good approach?
Plus, I have another issue, based on this problem. If the articles are using different definitions under the same term “loyalty”, some are defining these dimensions as strict different concepts. For example, I have one article with two different concepts in the model: attitudinal loyalty and behavioral loyalty. How can I treat these articles? Indeed, there is an issue, because since there is 2 concepts, there will be 2 correlation coefficients for the relationship “satisfaction-loyalty”. But in the correlation matrix, I can only have one correlation coefficient for this relationship.
Then, I was thinking of two options:
- Removing these articles from the analysis
- Choosing only one variable: to analyze either “attitudinal loyalty” or “behavioral loyalty” but not both
- Building two correlation matrixes for the articles with the two types of loyalty: it seems to be a bad idea because there will be a repetition of the other correlation coefficients.
What do you think?
Thanks in advance for your help,
Other things being equal(Ceteris Paribus), it can be said that types of democratic outcomes possible under majority rule based democracy are normal democratic outcomes and extreme democratic outcomes.…,,,Under normal democratic outcomes the majority view rules, either as a full majority or a partial majority. Under extreme democratic outcomes the true minority view rules, which raises the question, can extreme democratic outcomes take place if there is no chaos?. I think no, what do you think?
Is anyone aware of implimentation of modelling of two interval forced choice behavioral data (like drift diffusion models for two alternative force choice experiments)? There are mutual inhibition models for modelling neuronal data (Machens, Romo, & Brody, 2005) and also one indirect implimentation using psychometric function for oculomotor response that I have found (Liston & Stone, 2008). My experiment is a two interval forced choice experiment with button responses. Help appreciated!!
I am teaching a module in consumer behavior and got this question from a student: "How do consumers chooses a given service from a broad selection base. For example, if a consumer has 50 €/$ for a fun activity which factors will guide his/her decision to choose to go to an amusement park over an aquapark or vice versa?".
While there are a plethora of idiosyncratic reasons, A) what would you answer to the student, B) do you know of any good research that has studied this and could you point me to it?
In environmental literature, it is argued that three different value orientations
may be relevant for understanding environmental beliefs and intentions: egoistic, altruistic, and biospheric. Until now, the distinction between altruistic and biospheric value orientations has hardly been supported empirically. But my question is can these values directly affect the choice behavior of an individual for green products or there should be a moderation and mediation scope?
I conduct an inter temporal choice experiment where each trial consists of two different reward options with different time points. Subjects need to decide for one of the two options per trial. For instance, participants either choose the reward option 10 euros today versus 30 euros in 2 months. My aim is to get the discount rate resulting from the indifference points.
To analyze the data I worked with the scientific article: A Tutorial on the Use of Excel 2010 and Excel for Mac 2011 for conducting delay-discounting analyses by D. D. Reed, B. A. Kaplan & A. T. Brewer (2012). Please find the article attached. However, they only show how to calculate the discount rate for sooner options involving immediate rewards (today, 30 euros) and not for delayed sooner rewards (in 3 months, 30 euros).
Also having delayed sooner rewards in my inter temporal choice experiment, my question is how I can best include them in the analysis in order to get the discount rate involving a hyperbolic delay discounting function.
I would highly appreciate if someone has any suggestions regarding this question.
Thanks a lot in advance!
- I conducted a study where the participant had to decide between a sooner smaller and a delayed larger reward option. Across the experiment the delayed larger reward option stayed the same while the sooner smaller was adjusted per trial depending on the choice the subject made
- That means that I collected all the adjusted sooner monetary reward options getting adjusted across 7 trials. I ran these 7 trials 30 times involving different time points
...or it could be used to asses delay discounting function from procedures that use other measures of reward value, like proportion of choices of the larger later rewards?
Monetization levels vary widely by context and over time. Macro-level data is not very helpful because it jumbles many differently monetized contexts. Are there studies in behavioral economics, microeconomics, cognitive psychology etc. that address this question?
I need a quick way to get participants to think/act as if they have made their own choice, while actually have their choice correspond to their assigned condition. In other words, I am looking for a way to get them to "choose" their assigned condition.
I am considering offering multiple choices (out of 4) and telling them that their choice has to match a random selection in order for the task to begin. But wondering if there is a better, more efficient way to do this.
What does the consumer perceive when he looks at the wine bottles on a shop's shelf? Why does he choose one bottle rather than another? How much is he influenced by the label? Why, at the restaurant, does he order or re-order that particular wine? Which reasonments, memories or emotions are involved? And when he tastes the wine, to which extent his evaluation, if not his degree of satisfaction, are biased by aspects such as the reputation of the producer or the comments of the attendants? These are some of the questions we are triyng to partially answer in our work.
I’ve become interested in the literature on the measurement of social value orientation (SVO) because SVO is of increasing interest for behavioral economists. What puzzled me about the SVO tests is reciprocity. Assume you want to measure SVO for two players, A and B, using a test that relies on decomposed games like Liebrand’s ring test or the slider measure by Murphy, Ackermann and Handgraaf. Take as an example the dictator game in which both players choose between two self-other-allocations, x=(2,0) and y=(1,1). Assume that A chooses y. There are two reasons: (1) a concern for B’s payoff, and (2) a preference for reciprocity. (2) is a possible motivation behind A’s choice if A expects B to choose y and wants to reward B’s kindness by being kind. But this implies that SVO is sensitive to players’ expectations.
In the literature, I’ve found no discussion of reciprocity motives in relation to SVO tests, hence my question is: Has anyone seen a discussion of this issue, or does anyone know why the SVO literature remains silent about this issue?